Book
- 7 Rules for Positive, Productive Change: Micro Shifts, Macro Results
- Access 97 Macro & VBA Handbook
- Advergaming Developer's Guide: Using Macromedia Flash MX 2004 and Director MX
- Beginning Mac OS X Tiger Dashboard Widget Development
- Beginning Ubuntu for Windows and Mac Users: Start your Journey into Free and Open Source Software, Second Edition
- Building Applications for the Mac App Store
- Building Intelligent Systems: Utilizing Computer Vision, Data Mining, and Machine Learning
- Claris Home Page 3 for Windows & Macintosh: Visual QuickStart Guide
- DeBabelizer for Windows & Macintosh: Visual QuickStart Guide
- Developing Macros for Word
- Director 8 for Macintosh & Windows: Visual QuickStart Guide
- Early Detection of Neurological Disorders Using Machine Learning Systems
- Editing with Microsoft Word 2011 for the Macintosh
- Fireworks 3 for Windows & Macintosh: Visual QuickStart Guide
- FreeHand 9 for Windows & Macintosh: Visual QuickStart Guide
- How Smart Machines Think
- iMac For Dummies, 7th Edition
- Introducing Data Science: Big Data, Machine Learning, and More, using Python Tools
- Karma-based API on Apple Platforms: Building Privacy Into iOS and macOS Apps
- Kris Jamsa's Starting With Macromedia Dreamweaver UltraDev
- Learn Excel 2011 for Mac
- Learn Office 2011 for Mac OS X
- Learn OpenOffice.org Spreadsheet Macro Programming: OOoBasic and Calc Automation: A Fast and Friendly Tutorial to Writing Macros and Spreadsheet Applications
- Mac OS X Lion Made Simple
- Mac OS X Lion Server Portable Genius
- Mac OS X Tiger Simplified
- Mac OS X. v.10.2 Jaguar Little Black Book
- Mac ReferencePoint Suite
- MacBook Air Portable Genius, 4th Edition
- MacBook Pro Portable Genius, 4th Edition
- Machine Component Analysis with MATLAB
- Machine Learning with Microsoft Technologies: Selecting the Right Architecture and Tools for Your Project
- macOS Catalina in Easy Steps
- Macromedia ColdFusion MX: Professional Projects
- Macromedia Director 8 & Lingo Fast & Easy Web Development
- Macromedia Dreamweaver MX Fast & Easy Web Development
- Macromedia Dreamweaver: Rapid Web Design
- Macromedia Fireworks MX 2004 Fast & Easy Web Development
- Macromedia Flash 8 Bible
- Macromedia Flash 8 For Dummies
- Macromedia Flash MX Fast & Easy Web Development
- Macworld Photoshop 6 Bible
- Microsoft Access 2010 VBA Macro Programming
- Microsoft Office 2008 for Mac Bible
- Microsoft Office v. X for Macs For Dummies
- Microsoft Outlook for Mac 2011 Step by Step
- Object-Oriented Macromedia Flash MX
- Office 2008 for Mac For Dummies
- Office 2011 for Mac All-in-One For Dummies
- Office for Mac 2011: Portable Genius
- Office Mac 2011 Pour les Nuls
- Office VBA: Macros You Can Use Today
- PageMill 3 for Macintosh & Windows: Visual QuickStart Guide
- Picture Yourself Learning Microsoft Office 2008 for Mac
- QuickTime Pro 4 for Macintosh & Windows: Visual QuickStart Guide
- RHCSA/RHCE Red Hat Linux Certification Practice Exams with Virtual Machines (Exams EX200 & EX300)
- Rise of the Machines: A Cybernetic History
- SAS 9.4 Macro Language: Reference
- The Complete Guide to Macro and Close-up Photography
- The Focal Easy Guide to Macromedia Flash 8: For New Users and Professionals
- The Unrules: Man, Machines and the Quest to Master Markets
- The Visibooks Guide to Mac OS X Tiger
- This Machine Kills Secrets: How Wikileakers, Cypherpunks, and Hacktivists Aim to Free the World's Information
- Web Development with the Mac
- Word 97 Macro & VBA Handbook
AI Apprentice to AI Architect
Business Skills
- A Profile of the Farm Machinery Industry: The Power to Help Farmers Feed the World, Second Edition
- Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning
- Corporate Sustainability: Shareholder Primacy versus Stakeholder Primacy
- Fast Fulfillment: The Machine That Changed Retailing
- Machine Ethics: From Machine Morals to the Machinery of Morality
- MIT Sloan Management Review Article on Improving Strategic Execution With Machine Learning
- MIT Sloan Management Review Article on People and Machines: Partners in Innovation
- Social Machines: How to Develop Connected Products That Change Customers' Lives
- The Imagination Machine: How to Spark New Ideas and Create Your Company's Future
Business Skills for IT Professionals
Cloud Computing and Virtualization
- Building Machine Learning and Deep Learning Models on Google Cloud Platform: A Comprehensive Guide for Beginners
- Mastering Virtual Machine Manager 2008 R2
- Monetizing Machine Learning: Quickly Turn Python ML Ideas into Web Applications on the Serverless Cloud
- Practical Machine Learning with AWS: Process, Build, Deploy, and Productionize Your Models Using AWS
- Virtual Machines: Versatile Platforms for Systems and Processes
- Working with Java Virtual Machine
Collections
- Driving Digital Transformation Through Data and AI: A Practical Guide to Delivering Data Science and Machine Learning Products
- MIT Sloan Management Review Article on Introducing ‘The AI & Machine Learning Imperative’
- MIT Sloan Management Review Article on The Machine Learning Race Is Really a Data Race
- MIT Sloan Management Review Article on The Risk of Machine-Learning Bias (and How to Prevent It)
Data Analyst to Data Scientist
Data and Databases
- Applied Machine Learning for Health and Fitness: A Practical Guide to Machine Learning with Deep Vision, Sensors and IoT
- Big Data Analytics with Spark: A Practitioner's Guide to Using Spark for Large-Scale Data Processing, Machine Learning, and Graph Analytics, and High-Velocity Data Stream Processing
- Carpenter's Complete Guide to the SAS Macro Language, Third Edition
- Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition
- Data Mining: Practical Machine Learning Tools and Techniques, Third Edition
- Machine Learning and Cognition in Enterprises: Business Intelligence Transformed
- Machine Learning: A Concise Introduction
- Machine Learning: Hands-on for Developers and Technical Professionals
- Pharmaceutical Statistics Using SAS: A Practical Guide
- SAS 9.4 Macro Language Reference, Fourth Edition
- SAS 9.4 Macro Language Reference, Second Edition
- SAS Macro Language Magic: Discovering Advanced Techniques
- SAS Macro Programming Made Easy, Third Edition
- SAS Programming in the Pharmaceutical Industry, Second Edition
- Self-Service AI with Power BI Desktop: Machine Learning Insights for Business
- SQL Server 2019 Revealed: Including Big Data Clusters and Machine Learning
- The Blockchain Alternative: Rethinking Macroeconomic Policy and Economic Theory
- Veracity of Big Data: Machine Learning and Other Approaches to Verifying Truthfulness
Digital Transformation
Enterprise Resource Planning (ERP)
Industrial, Manufacturing and Operational Systems
IT Skills
- Agricultural Informatics: Automation Using the IoT and Machine Learning
- AI and Genius Machines
- AI for Healthcare with Keras and Tensorflow 2.0: Design, Develop, and Deploy Machine Learning Models Using Healthcare Data
- Beginning Apache Spark 3: With DataFrame, Spark SQL, Structured Streaming, and Spark Machine Learning Library, Second Edition
- Beginning Machine Learning in the Browser: Quick-start Guide to Gait Analysis with JavaScript and TensorFlow.js
- Beginning Mathematica and Wolfram for Data Science: Applications in Data Analysis, Machine Learning, and Neural Networks
- Computer Vision with Maker Tech: Detecting People With a Raspberry Pi, a Thermal Camera, and Machine Learning
- Continuous Machine Learning with Kubeflow: Performing Reliable MLOps with Capabilities of TFX, Sagemaker and Kubernetes
- Data Science and Machine Learning Interview Questions Using R: Crack the Data Scientist and Machine Learning Engineers Interviews with Ease
- Demystifying Artificial Intelligence: Simplified AI and Machine Learning Concepts for Everyone
- Graph-Powered Machine Learning
- Graph-Powered Machine Learning
- Grokking Machine Learning
- Hands-on Supervised Learning with Python: Learn How to Solve Machine Learning Problems with Supervised Learning Algorithms Using Python
- Human-in-the-Loop Machine Learning
- Hyperspectral Image Analysis: Advances in Machine Learning and Signal Processing
- Implementing Machine Learning with SAP S/4HANA
- Interprocess Communication with macOS: Apple IPC Methods
- Introduction to Statistical and Machine Learning Methods for Data Science
- Learn AI with Python: Explore Machine Learning and Deep Learning Techniques for Building Smart AI Systems Using Scikit-Learn, NLTK, NeuroLab, and Keras
- Learning Genetic Algorithms with Python: Empower the performance of Machine Learning and AI models with the capabilities of a powerful search algorithm (English Edition)
- MacBook in easy steps, 7th edition - covers macOS Big Sur
- Machine Learning and Big Data: Concepts, Algorithms, Tools and Applications
- Machine Learning Approach for Cloud Data Analytics in IoT
- Machine Learning Approaches for Convergence of IoT and Blockchain
- Machine Learning Approaches in Cyber Security Analytics
- Machine Learning Bookcamp: Build a Portfolio of Real-Life Projects
- Machine Learning Cookbook with Python: Create ML and Data Analytics Projects Using Some Amazing bpbOpen Datasets
- Machine Learning for Beginners: Learn to Build Machine Learning Systems Using Python
- Machine Learning For Dummies, 2nd Edition
- Machine Learning for Finance: Beginner's guide to explore machine learning in banking and finance
- Machine Learning for Oracle Database Professionals: Deploying Model-Driven Applications and Automation Pipelines
- Machine Learning for Time Series Forecasting with Python
- Machine Learning Paradigms: Advances in Deep Learning-based Technological Applications
- Machine Learning with R, the tidyverse, and mlr
- Machine Learning with SAP: Models and Applications
- Machine Learning with TensorFlow, Second Edition
- Machine Learning: Hands-On for Developers and Technical Professionals, 2nd Edition
- Machine Learning: Master Supervised and Unsupervised Learning Algorithms with Real Examples
- macOS Big Sur in Easy Steps
- macOS Daemonology: Communicate with Daemons, Agents, and Helpers Through XPC
- Math for Programmers: 3D Graphics, Machine Learning and Simulations with Python
- Math for Programmers: 3D Graphics, Machine Learning and Simulations with Python
- Minding the Machines: Building and Leading Data Science and Analytics Teams
- Multiview Machine Learning
- Natural Language Processing and Machine Learning for Developers
- Patterns in the Machine: A Software Engineering Guide to Embedded Development
- Practical Data Science with Jupyter: Explore Data Cleaning, Pre-processing, Data Wrangling, Feature Engineering and Machine Learning using Python and Jupyter (English Edition)
- Practical Full-Stack Machine Learning: A Guide to Build Reliable, Reusable, and Production-Ready Full Stack ML Solutions
- Practical Machine Learning for Streaming Data with Python: Design, Develop, and Validate Online Learning Models
- Quantum Machine Learning with Python: Using Cirq from Google Research and IBM Qiskit
- Quantum Machine Learning: An Applied Approach
- SCADA Security: Machine Learning Concepts for Intrusion Detection and Prevention
- Statistics for Machine Learning: Implement Statistical methods used in Machine Learning using Python
- The Big R-Book: From Data Science to Learning Machines and Big Data
- The Data Detective's Toolkit: Cutting-Edge Techniques and SAS Macros to Clean, Prepare, and Manage Data
- Transactional Machine Learning with Data Streams and AutoML: Build Frictionless and Elastic Machine Learning Solutions with Apache Kafka in the Cloud Using Python
- Up and Running Google AutoML and AI Platform: Building Machine Learning and NLP Models Using AutoML and AI Platform for Production Environment
- Visual Studio Code Distilled: Evolved Code Editing for Windows, macOS, and Linux, Second Edition
- Write Great Code: Understanding the Machine, Volume 1, 2nd Edition
Leadership Development Program powered by MIT SMR
Microsoft Office 2010
Microsoft Office 2013
ML Programmer to ML Architect
- Feature Engineering for Machine Learning and Data Analytics
- Hands-on Scikit-Learn for Machine Learning Applications: Data Science Fundamentals with Python
- Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python, Second Edition
- Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data, Second Edition
Operating Systems
- Beginning Ubuntu for Windows and Mac Users
- Cognitive Productivity with macOS: 7 Principles for Getting Smarter with Knowledge
- Découvrir le Mac OS X Lion et Internet Pour les nuls
- How to Do Everything Mac OS X Mountain Lion
- iMac For Dummies, 9th Edition
- Le Mac L'Essentiel Pour les Nuls, 2e édition
- Learn Mac OS X Snow Leopard
- Learn Office 2016 for Mac, Second Edition
- Mac at Work
- Mac OS X for Absolute Beginners
- Mac OS X Snow Leopard for Dummies
- Mac OS X Tiger All-in-One Desk Reference For Dummies
- Mac OS X Tiger In Pictures
- MacBook for Dummies, 6th Edition
- MacBook for Dummies, 7th Edition
- MacBook For Dummies, 8th Edition
- MacBook in Easy Steps, 5th Edition
- MacBook Pro Portable Genius, 5th Edition
- macOS Catalina for Dummies
- macOS High Sierra for Dummies
- macOS High Sierra in Easy Steps
- macOS Sierra in Easy Steps
- Macs All-In-One For Dummies, 5th Edition
- Macs for Dummies, 13th Edition
- Macs for Dummies, 14th Edition
- Macs For Seniors For Dummies, 4th Edition
- Master Your Mac: Simple Ways to Tweak, Customize, and Secure OS X
- Switching to a Mac For Dummies, 2nd Edition
- Teach Yourself VISUALLY Complete Mac Pro
- Teach Yourself VISUALLY iMac, 3rd Edition
- Teach Yourself VISUALLY MacBook Air
- Teach Yourself VISUALLY MacBook Pro and MacBook Air, 5th Edition
- Teach Yourself VISUALLY MacBook Pro, 2nd Edition
- Teach Yourself VISUALLY MacBook, 3rd Edition
- Teach Yourself VISUALLY macOS Sierra
- Using Mac OS X Mavericks
Operating Systems and Servers
- Apple macOS and iOS System Administration: Integrating and Supporting iPhones, iPads, and MacBooks
- Enterprise Mac Administratorâs Guide, Second Edition
- Enterprise Mac Security: Mac OS X Snow Leopard
- iMac for Dummies, 8th Edition
- Learn Cocoa on the Mac
- Learn Objective-C on the Mac: For iOS and OS X, Second Edition
- Mac Bible
- Mac OS X and iOS Internals: To the Apple's Core
- Mac OS X Leopard Just the Steps for Dummies
- Mac OS X System Administration
- Mac OS X Unix Toolbox: 1000+ Commands for the Mac OS X
- Mac Security Bible
- MacBook All-in-One for Dummies, Second Edition
- MacBook for Dummies, 5th Edition
- Machine Learning for iOS Developers
- macOS Sierra for Dummies
- Macs All-in-One For Dummies, 2nd Edition
- Switching to a Mac for Dummies, Mac OS X Lion Edition
- Teach Yourself visually MacBook, 4th Edition
- The Mac Hacker's Handbook
- Tweak Your Mac Terminal: Command Line macOS
- Wicked Cool Shell Scripts: 101 Scripts for Linux, Mac OS X, and Unix Systems
Operations Management
- Applying Lean Six Sigma in the Pharmaceutical Industry
- Pharmaceutical Supply Chain: Drug Quality and Security Act
- Risk Management Applications in Pharmaceutical and Biopharmaceutical Manufacturing
- The Lean Machine: How Harley-Davidson Drove Top-Line Growth and Profitability with Revolutionary Lean Product Development
- The Machine That Changed the World: The Story of Lean Production â Toyota's Secret Weapon in the Global Car Wars That Is Revolutionizing World Industry
- Working with Machines: The Nuts and Bolts of Lean Operations with Jidoka
Professional Effectiveness
- Economics for Business: A Guide to Decision Making in a Complex Global Macroeconomy
- Humility is the New Smart: Rethinking Human Excellence in the Smart Machine Age
- Humility Is the New Smart: Rethinking Human Excellence in the Smart Machine Age
- The Man Who Lied To His Laptop: What Machines Teach Us About Human Relationships
Project Management
Sales
- Motivation im Verkauf Der Faktor X, der alles möglich macht: Wie Sie sich selbst motivieren und neue Kunden gewinnen
- Social Selling Mastery: Scaling Up Your Sales and Marketing Machine for the Digital Buyer
- The Machine: A Radical Approach to the Design of the Sales Function
- The Mackay MBA of Selling in the Real World
Security
- A Machine Learning Approach to Phishing Detection and Defense
- Applications of Security, Mobile, Analytic, and Cloud (SMAC) Technologies for Effective Information Processing and Management
- Enterprise Mac Security: El Capitan, Third Edition
- Mac OS X, iPod, and iPhone Forensic Analysis Toolkit
- Machine Learning and Cognitive Science Applications in Cyber Security
- Machine Learning Forensics for Law Enforcement, Security, and Intelligence
- Machine Learning in Image Steganalysis
- The Art of Memory Forensics: Detecting Malware and Threats in Windows, Linux, and Mac Memory
Software Design and Development
- Accelerated Mac OS X Core Dump Analysis, Second Edition
- Advanced Data Analytics Using Python: With Machine Learning, Deep Learning and NLP Examples
- Advanced Platform Development With Kubernetes: Enabling Data Management, The Internet of Things, Blockchain, and Machine Learning
- Advanced R Statistical Programming and Data Models: Analysis, Machine Learning, and Visualization
- Advances in Financial Machine Learning
- Agile Machine Learning: Effective Machine Learning Inspired by the Agile Manifesto
- AI as a Service: Serverless Machine Learning with AWS
- An Introduction to Machine Learning
- Apple Device Management: A Unified Theory of Managing Macs, iPads, iPhones, and AppleTVs
- Applied Analytics through Case Studies Using SAS and R: Implementing Predictive Models and Machine Learning Techniques
- Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language
- Artificial Intelligence, Machine Learning and Deep Learning
- Artificial Neural Networks with TensorFlow 2: ANN Architecture Machine Learning Projects
- Beginning Apache Spark 2: With Resilient Distributed Datasets, Spark SQL, Structured Streaming and Spark Machine Learning Library
- Beginning Machine Learning in iOS: CoreML Framework
- Beginning Visual Studio for Mac: Build Cross-Platform Apps with Xamarin and .NET Core
- Beginning Xamarin Development for the Mac: Create iOS, watchOS, and Apple tvOS apps with Xamarin.iOS and Visual Studio for Mac
- Big Data SMACK: A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka
- Building Intelligent Systems: A Guide to Machine Learning Engineering
- Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions
- Computational Intelligence and its Applications: Evolutionary Computation, Fuzzy Logic, Neural Network and Support Vector Machine Techniques
- Computer Vision and Machine Learning with RGB-D Sensors
- Data Mining and Machine Learning in Cybersecurity
- Data Science and Machine Learning Interview Questions Using Python: A Complete Question Bank to Crack Your Interview, 2nd Edition
- Deep Belief Nets in C++ and CUDA C: Restricted Boltzmann Machines and Supervised Feedforward Networks, Volume 1
- Deploy Machine Learning Models to Production: With Flask, Streamlit, Docker, and Kubernetes on Google Cloud Platform
- Financial Signal Processing and Machine Learning
- Foundations of Libvirt Development: How to Set Up and Maintain a Virtual Machine Environment with Python
- Handbook of Machine and Computer Vision: The Guide for Developers and Users, Second, Revised and Updated Edition
- Handbook of Research on Applications and Implementations of Machine Learning Techniques
- Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques
- Handbook of Research on Machine Learning Innovations and Trends, Volume I
- Handbook of Research on Machine Learning Innovations and Trends, Volume II
- Harley Hahn's Emacs Field Guide
- Heart of the Machine: Our Future in a World of Artificial Emotional Intelligence
- How Smart Machines Think
- Human Recognition in Unconstrained Environments: Using Computer Vision, Pattern Recognition and Machine Learning Methods for Biometrics
- Human/Machine: The Future of our Partnership with Machines
- Hyperparameter Optimization in Machine Learning: Make Your Machine Learning and Deep Learning Models More Efficient
- Implementing iOS and macOS Documents with the Files App: Managing Files and Ensuring Compatibility
- Industrial Applications of Machine Learning
- Industrial Machine Learning: Using Artificial Intelligence as a Transformational Disruptor
- Intelligent Sensor Networks: The Integration of Sensor Networks, Signal Processing and Machine Learning
- Introduction to Machine Learning, Third Edition
- IoT Machine Learning Applications in Telecom, Energy, and Agriculture: With Raspberry Pi and Arduino Using Python
- Learn AppleScript: The Comprehensive Guide to Scripting and Automation on Mac OS X, Third Edition
- Learn PySpark: Build Python-based Machine Learning and Deep Learning Models
- Learn Swift 2 on the Mac, Second Edition
- Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python
- Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques
- Machine Learning and AI for Healthcare: Big Data for Improved Health Outcomes
- Machine Learning and AI for Healthcare: Big Data for Improved Health Outcomes, Second Edition
- Machine Learning Concepts with Python and the Jupyter Notebook Environment: Using Tensorflow 2.0
- Machine Learning for Business: Using Amazon SageMaker and Jupyter
- Machine Learning for Decision Makers: Cognitive Computing Fundamentals for Better Decision Making
- Machine Learning for Economics and Finance in TensorFlow 2: Deep Learning Models for Research and Industry
- Machine Learning for Financial Engineering
- Machine Learning for Subsurface Characterization
- Machine Learning in Bio-Signal Analysis and Diagnostic Imaging
- Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis
- Machine Learning in Python: Essential Techniques for Predictive Analysis
- Machine Learning in the AWS Cloud: Add Intelligence to Applications with Amazon SageMaker and Amazon Rekognition
- Machine Learning in the Oil and Gas Industry: Including Geosciences, Reservoir Engineering, and Production Engineering with Python
- Machine Learning Projects for .NET Developers
- Machine Learning Systems: Designs That Scale
- Machine Learning Using R
- Machine Learning Using R: With Time Series and Industry-Based Use Cases in R, Second Edition
- Machine Learning with Python: An Approach to Applied Machine Learning
- Machine Learning with SAS Viya
- Machine Learning with Spark and Python: Essential Techniques for Predictive Analysis, Second Edition
- Machine Learning with TensorFlow
- Machine Learning with the Raspberry Pi: Experiments with Data and Computer Vision
- Machine Learning: A Bayesian and Optimization Perspective
- Machine Learning: Algorithms and Applications
- Machine Learning: Concepts, Methodologies, Tools, and Applications, Volume I
- Machine Learning: Concepts, Methodologies, Tools, and Applications, Volume II
- Machine Learning: Concepts, Methodologies, Tools, and Applications, Volume III
- Machine Translation
- Machines Who Think: A Personal Inquiry into the History and Prospects of Artificial Intelligence
- macOS Programming for Absolute Beginners: Developing Apps Using Swift and Xcode
- Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python
- MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence
- MATLAB Machine Learning Recipes: A Problem-Solution Approach, Second Edition
- ML.NET Revealed: Simple Tools for Applying Machine Learning to Your Applications
- Multi-Agent Machine Learning: A Reinforcement Approach
- Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning using Python
- Next-Generation Wireless Networks Meet Advanced Machine Learning Applications
- Objective-C for Absolute Beginners: iPhone, iPad and Mac Programming Made Easy
- Objective-C for Absolute Beginners: iPhone, iPad and Mac Programming Made Easy, Third Edition
- Objective-C for Absolute Beginners: iPhone, iPad, and Mac Programming Made Easy, Second Edition
- Oracle Business Intelligence with Machine Learning: Artificial Intelligence Techniques in OBIEE for Actionable BI
- Practical Artificial Intelligence: Machine Learning, Bots, and Agent Solutions Using C#
- Practical Java Machine Learning: Projects with Google Cloud Platform and Amazon Web Services
- Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python
- Practical Machine Learning in R
- Practical Machine Learning with Python: A Problem-Solver's Guide to Building Real-World Intelligent Systems
- Practical Machine Learning with Rust: Creating Intelligent Applications in Rust
- Practical Rust Projects: Building Game, Physical Computing, and Machine Learning Applications
- Pragmatic Machine Learning with Python: Learn How to Deploy Machine Learning Models in Production
- Predictive Analytics with Microsoft Azure Machine Learning, Second Edition
- Python 3 for Machine Learning
- Python Machine Learning Case Studies: Five Case Studies for the Data Scientist
- Quantum Machine Learning: What Quantum Computing Means to Data Mining
- Real World Machine Learning
- Real-World Machine Learning
- Source Separation and Machine Learning
- SwiftUI for Absolute Beginners: Program Controls and Views for iPhone, iPad, and Mac Apps
- TensorFlow for Machine Intelligence: A Hands-On Introduction to Learning Algorithms
- Ubiquitous Machine Learning and Its Applications
- Visual Studio Code Distilled: Evolved Code Editing for Windows, macOS, and Linux
- Write Great Code: Understanding the Machine, Volume I
Strategy and Innovation
- Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions
- Darwin Among the Machines: The Evolution of Global Intelligence
- Knowledge Management in the Pharmaceutical Industry: Enhancing Research, Development and Manufacturing Performance
- Macrowikinomics: Rebooting Business and the World
- Profit First: Transform Your Business from a Cash-Eating Monster to a Money-Making Machine
- The Song Machine: Inside the Hit Factory
Technology in Business
- Advances in Financial Machine Learning
- HBR's 10 Must Reads on AI, Analytics, and the New Machine Age
- Humility is the New Smart: Rethinking Human Excellence in the Smart Machine Age
- MIT Sloan Management Review Article on Designing AI Systems With Human-Machine Teams
- MIT Sloan Management Review Article on Machine Learning in the Automotive Industry
- MIT Sloan Management Review Article on Machine Learning in the Travel Industry
- Social Machines: How to Develop Connected Products That Change Customers' Lives
- The Autonomous Revolution: Reclaiming the Future We've Sold to Machines
- The Autonomous Revolution: Reclaiming the Future We've Sold to Machines
- The Invisible Brand: Marketing in the Age of Automation, Big Data, and Machine Learning
- The Wolf in CIOâs Clothing: A Machiavellian Strategy for Successful IT Leadership
- The Wolf in CIOs Clothing: A Machiavellian Strategy for Successful IT Leadership
- Thinking Machines: The Quest for Artificial Intelligence--and Where It's Taking Us Next
- What to Do When Machines Do Everything: How to Get Ahead in a World of AI, Algorithms, Bots, and Big Data
Web Development and Graphic Design
- Adobe Photoshop CS5 for Photographers: A Professional Image Editor's Guide to the Creative Use of Photoshop for the Macintosh and PC
- Angular and Machine Learning Pocket Primer
- MATLAB Machine Learning
- Practical Machine Learning in JavaScript: TensorFlow.js for Web Developers
- Social Machines: The Coming Collision of Artificial Intelligence, Social Networking, and Humanity
- Twitterbots: Making Machines That Make Meaning
Video Course
Essentials
- Excel 2019 for Windows: Creating & Editing Macros
- Excel 2019 for Windows: Getting to Know Macros in Excel
- Excel 2019 for Windows: Getting to Know Macros in Excel
- Excel Office 365 (Windows): Getting to Know Macros in Excel
- Mac Contacts for Sierra: Adding & Organizing Contacts
- Mac Contacts for Sierra: Sharing & Using Contact Details
- Mac Mail for Sierra: Configuring the Account & Client Settings
- Mac OS Sierra: Monitoring, Configuring, & Optimizing
- Microsoft Excel 2016 for Mac: Basic Formulas
- Microsoft Excel 2016 for Mac: Configuring Excel
- Microsoft Excel 2016 for Mac: Creating, Saving, and Sharing Workbooks
- Microsoft Excel 2016 for Mac: Finding, Sorting, and Filtering Data
- Microsoft Excel 2016 for Mac: Working with Formulas
- Microsoft OneNote 2016 for Mac: Protecting and Sharing Notebooks
- Microsoft OneNote 2016 for Mac: Working with Notebooks
- Microsoft Outlook 2016 for Mac: Opening and Setting Up the Client
- Microsoft Outlook 2016 for Mac: Sending and Receiving Email
- Microsoft PowerPoint 2016 for Mac: Preparing and Delivering your Slideshow
- Microsoft PowerPoint 2016 for Mac: Saving, Exporting, and Sharing Presentations
- Microsoft PowerPoint 2016 for Mac: Using Office 365
Accelerator 2.0: Business Skills and Productivity
Accelerator 2.0: Office 365
- Excel 2019 for Windows: Creating & Editing Macros
- Excel 2019 for Windows: Getting to Know Macros in Excel
- Excel 2019 for Windows: Working with Macros in Excel
- Excel 2019: Working with Macros in Excel
- Excel Office 365 (Windows): Creating & Editing Macros
- Microsoft OneNote 2016 for Mac: Configuring the Application
- Microsoft Outlook 2016 for Mac: Formatting Email
- Microsoft Outlook 2016 for Mac: Using the Contact Tools
- Microsoft PowerPoint 2016 for Mac: Adding Animation to your Presentation
- Microsoft PowerPoint 2016 for Mac: Formatting your Presentation
AI Apprentice to AI Architect
Amazon
- AWS Certified Machine Learning: Advanced SageMaker Functionality
- AWS Certified Machine Learning: Data Engineering, Machine Learning, & AWS
- AWS Certified Machine Learning: Data Movement
- AWS Certified Machine Learning: Feature Engineering Overview
- AWS Certified Machine Learning: Jupyter Notebook & Python
- AWS Certified Machine Learning: Machine Learning in SageMaker
- AWS Certified Machine Learning: Problem Framing & Algorithm Selection
Apple Mac OS X
- Mac Mail for Sierra: Sending & Receiving Emails
- Mac OS Sierra: Configuring Network & Share Settings
- Mac OS Sierra: Managing User Accounts
- Mac OS Sierra: Navigating the Environment
- Mac OS Sierra: Setting & Managing Reminders
- Mac OS Sierra: Using Finder Windows
- Mac OS Sierra: Using Siri & Search
- Mac Photos for Sierra: Getting Started
- Mac Photos for Sierra: Tagging & Editing Photos
- macOS Catalina: Installing & Configuring Applications
- macOS Catalina: Managing User Accounts
- macOS Catalina: Monitoring, Configuring & Optimizing
- macOS Catalina: Protecting User Data
- macOS Catalina: Using & Managing Apps
- macOS Catalina: Working with Built-in Apps
Big Data & Database Collection
Cloud & Virtualization Collection
Cloud Computing and Virtualization
- AI-900: Azure AI Fundamentals: : Artificial Intelligence & Machine Learning
- AI-900: Azure AI Fundamentals: Machine Learning with Azure Services
- AWS Associate Solution Architect: Amazon Machine Images
- AWS Certified Machine Learning: AI Services & SageMaker Applications
- AWS Certified Machine Learning: Amazon S3 Simple Storage Service
- AWS Certified Machine Learning: Data Analysis Fundamentals
- AWS Certified Machine Learning: Data Pipelines & Workflows
- AWS Certified Machine Learning: Data Preparation & SageMaker Security
- AWS Certified Machine Learning: Feature Engineering Techniques
- AWS Certified Machine Learning: Model Training & Evaluation
- AWS: Virtual Machines and Identity and Access Management
- AZ-103 - Microsoft Azure Administrator: Azure Virtual Machines (VMs)
- AZ-300 - Microsoft Azure Architect Technologies: Azure Virtual Machines
- Azure Fundamentals: Virtual Machines
- CloudOps Machine Data Analytics: Splunk for CloudOps
- Creating Virtual Machines (VMs) and Workloads
- DP-100 - Azure Data Scientist Associate: Azure Machine Learning Workspaces
- DP-100 - Azure Data Scientist Associate: Machine Learning Clustering Models
- DP-100 - Azure Data Scientist Associate: Machine Learning Data Stores & Compute
- Google Cloud Virtual Machine Configuration
- Manage Virtual Machine Manager
- Post-Test 6: Introduction to Virtual Machine Configuration and Management
- Virtual Machines
Communication Curriculum
Communications Skills
Digital Transformation
EHS Impacts (US Edition)
- Machine Guarding Impact: Actions That Can Result in Injury (Update Available)
- Machine Guarding Impact: Advantages of Guard Construction
- Machine Guarding Impact: Areas Where Mechanical Hazards Exist
- Machine Guarding Impact: Areas Where Mechanical Hazards Exist (Update Available)
- Machine Guarding Impact: Definitions and General Requirements
- Machine Guarding Impact: Inspections
- Machine Guarding Impact: Minimum Requirements of Safeguards (Update Available)
Enterprise Database Systems Solution Area
- Azure Virtual Machines
- Data Classification and Machine Learning
- Machine & Deep Learning Algorithms: Introduction
- Machine & Deep Learning Algorithms: Regression & Clustering
- Machine Learning, Propensity Score, & Segmentation Modeling
- Math for Data Science & Machine Learning
- Support Vector Machine (SVM) Math: Building & Applying SVM Models in Python
Environmental, Safety & Health, and Transportation
- Machine Guarding Impact: Actions That Can Result in Injury
- Machine Guarding Impact: Advantages of Guard Construction (Update Available)
- Machine Guarding Impact: Definitions and General Requirements (Update Available)
- Machine Guarding Impact: Inspections (Update Available)
- Machine Guarding Impact: Minimum Requirements of Safeguards
- Machine Guarding Impact: Where Accidents Are Most Likely to Occur
- Machine Guarding Impact: Where Accidents Are Most Likely to Occur (Update Available)
Health, Safety and Security (US Edition)
Information Technology
- Encore Session 2: Virtual Machine Creation and Networking
- Encore Session 3: Storage and Virtual Machine Management
- Encore Session 6: Introduction to Virtual Machine Configuration and Management
- Introduction to Machine Learning Bootcamp
- Live Session 2: Virtual Machine Creation and Networking
- Live Session 3: Storage and Virtual Machine Management
- Live Session 6: Introduction to Virtual Machine Configuration and Management
- Machine Learning Bootcamp
- Post-Test 2: Virtual Machine Creation and Networking
- Post-Test 3: Storage and Virtual Machine Management
- Pre-Test 2: Virtual Machine Creation and Networking
- Pre-Test 3: Storage and Virtual Machine Management
- Pre-Test 6: Introduction to Virtual Machine Configuration and Management
Infrastructure Support Engineer to CloudOps Engineer
Internet and Network Technologies Solution Area
- AI-900: Azure AI Fundamentals: Using Azure Machine Learning Studio
- AWS Certified Machine Learning: AI/ML Services
- AWS Certified Machine Learning: Athena, QuickSight, & EMR
- AWS Certified Machine Learning: ML Algorithms in SageMaker
- AWS Certified Machine Learning: Problem Formulation & Data Collection
- AZ-103 - Microsoft Azure Administrator: Azure Virtual Machine Templates
- AZ-103 - Microsoft Azure Administrator: Managing Azure Virtual Machines
- AZ-304 - Microsoft Azure Architect Design: Virtual Machine Design & Deployment
- Azure Virtual Machine Management
- DP-100 - Azure Data Scientist Associate: Machine Learning
- DP-100 - Azure Data Scientist Associate: Machine Learning Orchestration & Deployment
- DP-100 - Azure Data Scientist Associate: Machine Learning Services
- Google Cloud Big Data and Machine Learning
- Google Cloud Virtual Machine Deployment
Microsoft
- AZ-104 - Microsoft Azure Administrator: Managing Azure Virtual Machines
- AZ-900 Microsoft Azure Fundamentals: Azure Virtual Machines & Security Groups
- DP-100 - Azure Data Scientist Associate: Machine Learning Classification Models
- DP-100 - Azure Data Scientist Associate: Machine Learning Model Monitoring
- DP-100 - Azure Data Scientist Associate: Machine Learning Regression Models
- Excel 2019 for Windows: Creating & Editing Macros
- Excel 2019 for Windows: Working with Macros in Excel
- Microsoft Office 2016 Intermediate Excel: Macros and Advanced Queries
- SQL Server Virtual Machines on Azure
Microsoft Office 2010
Microsoft Office 2013
Microsoft Office 365
Microsoft Office for Mac 2016
- Microsoft Excel 2016 for Mac: Charts and Graphs
- Microsoft Excel 2016 for Mac: Custom and Conditional Formatting
- Microsoft Excel 2016 for Mac: Extracting Information with Formulas
- Microsoft Excel 2016 for Mac: Formatting Data
- Microsoft Excel 2016 for Mac: Illustrating Documents
- Microsoft Excel 2016 for Mac: Manipulating Data
- Microsoft Excel 2016 for Mac: Opening and Setting Up Excel
- Microsoft Excel 2016 for Mac: PivotTables
- Microsoft Excel 2016 for Mac: Referencing Data
- Microsoft OneNote 2016 for Mac: Creating and Opening Notebooks
- Microsoft OneNote 2016 for Mac: Creating Notes
- Microsoft OneNote 2016 for Mac: Illustrating Notes
- Microsoft Outlook 2016 for Mac: Configuring the Client
- Microsoft Outlook 2016 for Mac: Organizing Email
- Microsoft Outlook 2016 for Mac: Using the Calendar Tools
- Microsoft PowerPoint 2016 for Mac: Building and Structuring a Presentation
- Microsoft PowerPoint 2016 for Mac: Configuring PowerPoint
- Microsoft PowerPoint 2016 for Mac: Creating Graphics & Diagrams in Your Presentation
- Microsoft PowerPoint 2016 for Mac: Illustrating your Presentation
- Microsoft PowerPoint 2016 for Mac: Inserting and Manipulating Text
- Microsoft PowerPoint 2016 for Mac: Organizing your Presentation Assets
- Microsoft Word 2016 for Mac: Configuring the Application
- Microsoft Word 2016 for Mac: Creating Forms and Bulk Mailings
- Microsoft Word 2016 for Mac: Creating Graphics and Diagrams
- Microsoft Word 2016 for Mac: Creating, Opening, and Saving Documents
- Microsoft Word 2016 for Mac: Editing Documents
- Microsoft Word 2016 for Mac: Formatting Documents
- Microsoft Word 2016 for Mac: Illustrating Documents
- Microsoft Word 2016 for Mac: Opening and Setting Up
- Microsoft Word 2016 for Mac: Shaping and Structuring Documents
- Microsoft Word 2016 for Mac: Using Office 365
- Microsoft Word 2016 for Mac: Using Research Tools
- Microsoft Word 2016 for Mac: Using Sharing and Collaboration Tools
- Microsoft Word 2016 for Mac: Using Table Tools
- Microsoft Word 2016 for Mac: Using the Find and Replace Tool
ML Programmer to ML Architect
- Enterprise Services: Enterprise Machine Learning with AWS
- Mentoring Machine Learning Architect
- ML Algorithms: Machine Learning Implementation Using Calculus & Probability
- ML/DL Best Practices: Machine Learning Workflow Best Practices
- ML/DL in the Enterprise: Machine Learning Infrastructure & Metamodel
- ML/DL in the Enterprise: Machine Learning Modeling, Development, & Deployment
- Model Management: Building & Deploying Machine Learning Models in Production
- Model Management: Building Machine Learning Models & Pipelines
- Refactoring ML/DL Algorithms: Refactor Machine Learning Algorithms
Networking Collection
Operating Systems
- Mac Contacts for Sierra: Using the Contacts App
- Mac Mail for Sierra: Formatting Emails
- Mac OS Sierra: Accessing & Managing Files
- Mac OS Sierra: Customizing Appearance
- Mac OS Sierra: Installing & Using Apps
- Mac OS Sierra: Protecting User Data
- Mac Photos for Sierra: Organizing Photos
- Mac Photos for Sierra: Sharing & Exporting Photos
- macOS Catalina: Accessing & Opening Files
- macOS Catalina: Configuring Shared Resources
- macOS Catalina: Customizing the OS Appearance
- macOS Catalina: Discovering & Using your Desktop
- macOS Catalina: Managing Files & Storage
- macOS Catalina: Managing windows
- macOS Catalina: Searching for & finding items
Operating Systems and Server Technologies Solution Area
Operating Systems and Servers
Software Design and Development
- AI and ML Solutions with Python: Machine Learning and Data Analytics
- Appium Concepts with Mac OS X
- Applying Machine Learning
- Enterprise Services: Machine Learning Implementation on Google Cloud Platform
- Enterprise Services: Machine Learning Implementation on Microsoft Azure
- Introduction to Machine Learning and Supervised Learning
- Using BigML: An Introduction to Machine Learning & BigML
Web Programmer to Apprentice Programmer
Bootcamp
Cloud Computing and Virtualization
Information Technology
- Encore Session 2: Virtual Machine Creation and Networking
- Encore Session 3: Storage and Virtual Machine Management
- Encore Session 6: Introduction to Virtual Machine Configuration and Management
- Introduction to Machine Learning Bootcamp
- Live Session 2: Virtual Machine Creation and Networking
- Live Session 3: Storage and Virtual Machine Management
- Live Session 6: Introduction to Virtual Machine Configuration and Management
- Machine Learning Bootcamp
- Post-Test 2: Virtual Machine Creation and Networking
- Post-Test 3: Storage and Virtual Machine Management
- Pre-Test 2: Virtual Machine Creation and Networking
- Pre-Test 3: Storage and Virtual Machine Management
- Pre-Test 6: Introduction to Virtual Machine Configuration and Management