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Description：
Take advantage of the power of cloud and the latest AI techniques. Whether you’re an experienced developer wanting to improve your app with AI-powered features or you want to make a business process smarter by getting AI to do some of the work, this book’s got you covered. Authors Anand Raman, Chris Hoder, Simon Bisson, and Mary Branscombe show you how to build practical intelligent applications for the cloud, mobile, browsers, and edge devices using a han...
Description：
Work through over 50 recipes to develop smart applications on Arduino Nano 33 BLE Sense and Raspberry Pi Pico using the power of machine learning
Key Features
Train and deploy ML models on Arduino Nano 33 BLE Sense and Raspberry Pi Pico
Work with different ML frameworks such as TensorFlow Lite for Microcontrollers and Edge Impulse
Explore cutting-edge technologies such as microTVM and Arm Ethos-U55 microNPU
Book Description
This book explor...
Description:
REINFORCEMENT LEARNING AND STOCHASTIC OPTIMIZATION
Clearing the jungle of stochastic optimization
Sequential decision problems, which consist of “decision, information, decision, information,” are ubiquitous, spanning virtually every human activity ranging from business applications, health (personal and public health, and medical decision making), energy, the sciences, all fields of engineering, finance, and e-commerce. The diversity of applications at...
Description:
This book introduces the reader to Artificial Intelligence and its importance to our future. Campbell uses behavioural psychology, explores technology, economics, real-life and historical examples to predict five future scenarios with AI. Illustrating through speculative fiction, she describes possible futures after AI exceeds human capabilities. We are at a tipping point in history and must plan to ensure a successful co-existence with artificial intelli...
Learn the ins and outs of decisions, biases, and reliability of AI algorithms and how to make sense of these predictions. This book explores the so-called black-box models to boost the adaptability, interpretability, and explainability of the decisions made by AI algorithms using frameworks such as Python XAI libraries, TensorFlow 2.0+, Keras, and custom frameworks using Python wrappers.
You’ll begin with an introduction to model explainability and interpretability basi...
Dodge costly and time-consuming infrastructure tasks, and rapidly bring your machine learning models to production with MLOps and pre-built serverless tools!
In MLOps Engineering at Scale you will learn:
Extracting, transforming, and loading datasets
Querying datasets with SQL
Understanding automatic differentiation in PyTorch
Deploying model training pipelines as a service endpoint
Monitoring and managing your pipeline’s life cycle
Measuring perform...
Conversational AI is a hands-on guide to building custom virtual assistants for a wide variety of use cases.
Design, develop, and deploy human-like AI solutions that chat with your customers, solve their problems, and streamline your support services. Conversational AI: Chatbots that work teaches you to create the kind of AI-enabled chatbots that are revolutionizing the customer service industry.
Conversational AI is a hands-on guide to building custom virtual assist...
Early rules-based artificial intelligence demonstrated intriguing decision-making capabilities but lacked perception and didn’t learn. AI today, primed with machine learning perception and deep reinforcement learning capabilities, can perform superhuman decision-making for specific tasks. This book shows you how to combine the practicality of early AI with deep learning capabilities and industrial control technologies to make robust decisions in the real world.
Using co...
Description：
An expert on mind considers how animals and smart machines measure up to human intelligence.
Octopuses can open jars to get food, and chimpanzees can plan for the future. An IBM computer named Watson won on Jeopardy! and Alexa knows our favorite songs. But do animals and smart machines really have intelligence comparable to that of humans? In Bots and Beasts, Paul Thagard looks at how computers (“bots”) and animals measure up to the minds of people, off...
Description：
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 Filipi, and Wee Hyong Tok from Microsoft show you how to create products using weakly supervised learning models.
You’ll learn how to build natural language p...
Description：
Transfer Learning for Natural Language Processing gets you up to speed with the relevant ML concepts before diving into the cutting-edge advances that are defining the future of NLP.
Building and training deep learning models from scratch is costly, time-consuming, and requires massive amounts of data. To address this concern, cutting-edge transfer learning techniques enable you to start with pretrained models you can tweak to meet your exact needs. In ...
Description：
In Machine Learning Bookcamp you’ll learn the essentials of machine learning by completing a carefully designed set of real-world projects.
The only way to learn is to practice! In Machine Learning Bookcamp, you’ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects.
In Machine Learning Bookcamp you’ll learn the essentials of machine learning by completing a carefully designed set of real-world pr...
