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Description：Deploying a machine learning model into a fully realized production system usually requires painstaking work by an operations team creating and managing custom servers. Cloud Native Machine Learning helps you bridge that gap by using the pre-built services provided by cloud platforms like Azure and AWS to assemble your ML system’s infrastructure.
Deploying a machine learning model into a fully realized production system usually requires painstaking work by ...
Description：Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to achieve arbitrary goals. This exciting development avoids constraints found in traditional machine learning (ML) algorithms. This practical book shows data science and AI professionals how to learn by reinforcement and enable a machine to learn by itself.
Author Phil Winder of Winder Research covers eve...
Description：Get hands-on knowledge of how BERT (Bidirectional Encoder Representations from Transformers) can be used to develop question answering (QA) systems by using natural language processing (NLP) and deep learning.
The book begins with an overview of the technology landscape behind BERT. It takes you through the basics of NLP, including natural language understanding with tokenization, stemming, and lemmatization, and bag of words. Next, you’ll look at neural ne...
Description：A hands-on, application-based introduction to machine learning and artificial intelligence (AI) that guides young readers through creating compelling AI-powered games and applications using the Scratch programming language.
Machine learning (also known as ML) is one of the building blocks of AI, or artificial intelligence. AI is based on the idea that computers can learn on their own, with your help.
Machine Learning for Kids will introduce you to machine l...
Description：Turning text into valuable information is essential for businesses looking to gain a competitive advantage. With recent improvements in natural language processing (NLP), users now have many options for solving complex challenges. But it’s not always clear which NLP tools or libraries would work for a business’s needs, or which techniques you should use and in what order.
This practical book provides data scientists and developers with blueprints for best p...
Description：Integrate MLOps principles into existing or future projects using MLFlow, operationalize your models, and deploy them in AWS SageMaker, Google Cloud, and Microsoft Azure. This book guides you through the process of data analysis, model construction, and training.
The authors begin by introducing you to basic data analysis on a credit card data set and teach you how to analyze the features and their relationships to the target variable. You will learn how t...
Book Description：Use TensorFlow Enterprise with other GCP services to improve the speed and efficiency of machine learning pipelines for reliable and stable enterprise-level deployment
Key FeaturesBuild scalable, seamless, and enterprise-ready cloud-based machine learning applications using TensorFlow Enterprise
Discover how to accelerate the machine learning development life cycle using enterprise-grade services
Manage Google’s cloud services to scale and op...
Book Description:
A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms.
This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms. It also describes several key...
Book Description：Data pipelines are the foundation for success in data analytics and machine learning. Moving data from many diverse sources and processing it to provide context is the difference between having data and actually gaining value from it. This pocket reference defines data pipelines and explains how they work in today’s modern data stack.
You’ll learn common considerations and key decision points when implementing pipelines, such as data pipe...
Book Description：A practical guide to learning visual perception for self-driving cars for computer vision and autonomous system engineers
Key FeaturesExplore the building blocks of the visual perception system in self-driving cars
Identify objects and lanes to define the boundary of driving surfaces using open-source tools like OpenCV and Python
Improve the object detection and classification capabilities of systems with the help of neural networksBook Descripti...
Book Description：Learn Unity game development with C# through a series of practical projects ranging from building a simple 2D game to adding AR/VR experiences and machine learning capabilities in a simple yet effective way
Key FeaturesGain a high-level overview of the Unity game engine while building your own games portfolio
Discover best practices for implementing game animation, game physics, shaders, and effects
Create fully featured apps, including Space shoot...
Book Description：The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineers, catalog proven methods to help data scientists tackle common problems throughout the ML process. These design patterns codify the experience of hundreds of experts into straightforward, approachable advice.
In this book, you will find detailed explanations of 30 patterns for data and problem representat...
