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Responsible AI

Essential Math for AI

Designing Machine Learning Systems

Graph-Powered Analytics and Machine Learning with TigerGraph

Natural Language Processing with Transformers

Practical Simulations for Machine Learning

Microsoft Sentinel in Action - Second Edition

Richard Diver, Gary Bushey, John Perkins

The Machine Learning Solutions Architect Handbook

David Ping

Practical Weak Supervision

TensorFlow 2 Pocket Reference

KC Tung

Fundamentals of Deep Learning, 2nd Edition

Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, NLP, and Transformers using TensorFlow

The Framework for ML Governance

AI and Machine Learning for On-Device Development

Enterprise AIOps

Beginning Azure Cognitive Services: Data-Driven Decision Making Through Artificial Intelligence

State-of-the-Art Deep Learning Models in TensorFlow: Modern Machine Learning in the Google Colab Ecosystem

Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning Using Python

PyTorch Pocket Reference

Joe Papa

Transfer Learning for Natural Language Processing

Multiply Your Business Value Through Brand & AI

Machine Learning Engineering with MLflow

Exploring GPT-3

Installing and Configuring IBM Db2 AI for IBM z/OS v1.4.0

Practical Machine Learning for Computer Vision

Minding the Machines

Generating a New Reality : From Autoencoders and Adversarial Networks to Deepfakes

Towards Sustainable Artificial Intelligence: A Framework to Create Value and Understand Risk

Human-in-the-Loop Machine Learning

Branding & AI

Responsible AI

Author
Release Date 2023/08
The past decade has witnessed a wide adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight into their widespread implementation has resulted in harmful outcomes that could have been avoided with proper oversight. Before we can realize AI/ML's tr....
Essential Math for AI

Author
Release Date 2023/02
Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications r....
Designing Machine Learning Systems

Author
Release Date 2022/06
Many tutorials show you how to develop ML systems from ideation to deployed models. But with constant changes in tooling, those systems can quickly become outdated. Without an intentional design to hold the components together, these systems will become a technical liability, prone to errors and be ....
Graph-Powered Analytics and Machine Learning with TigerGraph

Author
Release Date 2022/05
With the rapid rise of graph databases, organizations are now implementing advanced analytics and machine learning solutions to help drive business outcomes. This practical guide shows data scientists, data engineers, architects, and business analysts how to get started with a graph database using T....
Natural Language Processing with Transformers

Author
Release Date 2022/03
Since their introduction in 2017, Transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book shows you how to train and scale these large models using H....
Practical Simulations for Machine Learning

Author
Release Date 2022/03
Simulation and synthesis are core parts of the future of AI and machine learning. Consider: programmers, data scientists, and machine learning engineers can create the brain of a self-driving car without the car. Rather than use information from the real world, you can create artificial data using s....
Microsoft Sentinel in Action - Second Edition

Author Richard Diver , Gary Bushey , John Perkins
Release Date 2022/02
Learn how to set up, configure, and use Microsoft Sentinel to provide security incident and event management services for your multi-cloud environmentKey FeaturesCollect, normalize, and analyze security information from multiple data sourcesIntegrate AI, machine learning, built-in and custom threat ....
The Machine Learning Solutions Architect Handbook

Author David Ping
Release Date 2022/01
Build highly secure and scalable machine learning platforms to support the fast-paced adoption of machine learning solutionsKey FeaturesExplore different ML tools and frameworks to solve large-scale machine learning challenges in the cloudBuild an efficient data science environment for data explorat....
Practical Weak Supervision

Author
Release Date 2021/10
Most data scientists and engineers today rely on quality labeled data to train their machine learning models. But building training sets manually is time-consuming and expensive, leaving many companies with unfinished ML projects. There's a more practical approach. In this book, Amit Bahree, Senja ....
TensorFlow 2 Pocket Reference

Author KC Tung
Release Date 2021/10
This easy-to-use reference for Tensorflow 2 pattern designs in Python will help you make informed decisions for various use cases. Author KC Tung addresses common topics and tasks in enterprise data science and machine learning practices rather than focusing on TensorFlow....
Fundamentals of Deep Learning, 2nd Edition

Author
Release Date 2021/09
We're in the midst of an AI research explosion. Deep learning has unlocked superhuman perception that has powered our push toward self-driving vehicles, the ability to defeat human experts at a variety of difficult games including Go and Starcraft, and even generate essays with shockingly coherent ....
Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, NLP, and Transformers using TensorFlow

Author
Release Date 2021/08
NVIDIA's Full-Color Guide to Deep Learning: All You Need to Get Started and Get Results"To enable everyone to be part of this historic revolution requires the democratization of AI knowledge and resources. This book is timely and relevant towards accomplishing these lofty goals."--From the foreword....
The Framework for ML Governance

Author
Release Date 2021/08
Most companies don't have problems building and deploying algorithmic models, but they do struggle to effectively manage them in production. Maximizing the value of machine learning projects in the enterprise requires a robust MLOps program. But there's one key challenge: The problem MLOps sets ou....
AI and Machine Learning for On-Device Development

Author
Release Date 2021/08
AI is nothing without somewhere to run it. Now that mobile devices have become the primary computing device for most people, it's essential that mobile developers add AI to their toolbox. This insightful book is your guide to creating and running models on popular mobile platforms such as iOS and A....
Enterprise AIOps

Author
Release Date 2021/08
The mountains of data generated on a daily basis has vastly outstripped growth in the supply of technical analysts. How can your organization provide value from these data volumes with your existing analytical capabilities and staff? With this report, business leaders looking to move from small AI p....
Beginning Azure Cognitive Services: Data-Driven Decision Making Through Artificial Intelligence

Author
Release Date 2021/08
Get started with Azure Cognitive Services and its APIs that expose machine learning as a service. This book introduces the suite of Azure Cognitive Services and helps you take advantage of the proven machine learning algorithms that have been developed by experts and made available through Cognitive....
State-of-the-Art Deep Learning Models in TensorFlow: Modern Machine Learning in the Google Colab Ecosystem

Author
Release Date 2021/08
Use TensorFlow 2.x in the Google Colab ecosystem to create state-of-the-art deep learning models guided by hands-on examples. The Colab ecosystem provides a free cloud service with easy access to on-demand GPU (and TPU) hardware acceleration for fast execution of the models you learn to build. This ....
Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning Using Python

Author
Release Date 2021/08
Focus on implementing end-to-end projects using Python and leverage state-of-the-art algorithms. This book teaches you to efficiently use a wide range of natural language processing (NLP) packages to: implement text classification, identify parts of speech, utilize topic modeling, text summarization....
PyTorch Pocket Reference

Author Joe Papa
Release Date 2021/08
This concise, easy-to-use reference puts one of the most popular frameworks for deep learning research and development at your fingertips. Author Joe Papa provides instant access to syntax, design patterns, and code examples to accelerate your development and reduce the t....
Transfer Learning for Natural Language Processing

Author
Release Date 2021/08
Transfer Learning for Natural Language Processing teaches you to create powerful NLP solutions quickly by building on existing pretrained models. This instantly useful book provides crystal-clear explanations of the concepts you need to grok transfer learning along with hands-on examples so you can ....
Multiply Your Business Value Through Brand & AI

Author
Release Date 2021/08
Brand building is a competitive advantage that organizations can leverage to multiply their value. Artificial intelligence (AI), is a recent phenomenon that enables organizations reduce errors, build efficiencies and increase profitability, thereby freeing their human capital to perform more intelle....
Machine Learning Engineering with MLflow

Author
Release Date 2021/08
Get up and running, and productive in no time with MLflow using the most effective machine learning engineering approachKey FeaturesExplore machine learning workflows for stating ML problems in a concise and clear manner using MLflowUse MLflow to iteratively develop a ML model and manage it Discover....
Exploring GPT-3

Author
Release Date 2021/08
Get started with GPT-3 and the OpenAI API for natural language processing using JavaScript and PythonKey FeaturesUnderstand the power of potential GPT-3 language models and the risks involvedExplore core GPT-3 use cases such as text generation, classification, and semantic search using engaging exam....
Installing and Configuring IBM Db2 AI for IBM z/OS v1.4.0

Author
Release Date 2021/07
Artificial intelligence (AI) enables computers and machines to mimic the perception, learning, problem-solving, and decision-making capabilities of the human mind. AI development is made possible by the availability of large amounts of data and the corresponding development and wide availability of ....
Practical Machine Learning for Computer Vision

Author
Release Date 2021/07
This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with prove....
Minding the Machines

Author
Release Date 2021/07
Organize, plan, and build an exceptional data analytics team within your organizationIn Minding the Machines: Building and Leading Data Science and Analytics Teams, AI and analytics strategy expert Jeremy Adamson delivers an accessible and insightful roadmap to structuring and leading a successful a....
Generating a New Reality : From Autoencoders and Adversarial Networks to Deepfakes

Author
Release Date 2021/07
The emergence of artificial intelligence (AI) has brought us to the precipice of a new age where we struggle to understand what is real, from advanced CGI in movies to even faking the news. AI that was developed to understand our reality is now being used to create its own reality. In thi....
Towards Sustainable Artificial Intelligence: A Framework to Create Value and Understand Risk

Author
Release Date 2021/07
So far, little effort has been devoted to developing practical approaches on how to develop and deploy AI systems that meet certain standards and principles. This is despite the importance of principles such as privacy, fairness, and social equality taking centre stage in discussions around AI.....
Human-in-the-Loop Machine Learning

Author
Release Date 2021/07
Human-in-the-Loop Machine Learning lays out methods for humans and machines to work together effectively. You’ll find best practices on selecting sample data for human feedback, quality control for human annotations, and designing annotation interfaces. You’ll learn to create training data for label....
Branding & AI

Author
Release Date 2021/07
Open the doors to the world of branding and artificial intelligence, the future of building efficient revenue!Unlike anything else out there, the book is an authentic and lucid representation of what branding is and the role it plays with artificial intelligence in the success of businesses.The book....

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