-
AI in Manufacturing and Green Technology
This book focuses on environmental sustainability by employing elements of engineering and green computing through modern educational concepts and solutions. It visualizes the potential of artificial intelligence, enhanced by business activities and strategies for rapid implementation, in manufactur.... -
Reimagining Businesses with AI
Discover what AI can do for your business with this approachable and comprehensive resourceReimagining Businesses with AI acquaints readers with both the business challenges and opportunities presented by the rapid growth and progress of artificial intelligence. The accomplished authors and digital .... -
AI and UX: Why Artificial Intelligence Needs User Experience
Author Gavin Lew , Robert M. Schumacher Jr.
As venture capital and industrial resources are increasingly poured into rapid advances in artificial intelligence, the actual usage and success of AI depends on a satisfactory experience for the user. UX will play a significant role in the adoption of AI technologi....
Release Date 2020/10 -
Supervised Learning with Python: Concepts and Practical Implementation Using Python
Author Vaibhav Verdhan
Gain a thorough understanding of supervised learning algorithms by developing use cases with Python. You will study supervised learning concepts, Python code, datasets, best practices, resolution of common issues and pitfalls, and practical knowledge of implementing algor....
Release Date 2020/10 -
Author Trevor Grant , Holden Karau , Ilan Filonenko
If you’re training a machine learning model but aren’t sure how to put it into production, this book will get you there. Kubeflow provides a collection of cloud native tools for different stages of a model’s lifecycle, from data exploration, feature preparation, and model....
Release Date 2020/10 -
Author Austin Harris , Michael Katzenellenbogen , Josh Patterson
When deploying machine learning applications, building models is only a small part of the story. The entire process involves developing, orchestrating, deploying, and running scalable and portable machine learning workloads—a process Kubeflow makes much easier. Wit....
Release Date 2020/10 -
Artificial Intelligence in Finance
Author Yves Hilpisch
Many industries have been revolutionized by the widespread adoption of AI and machine learning. The programmatic availability of historical and real-time financial data in combination with techniques from AI and machine learning will also change the financial industry in ....
Release Date 2020/10 -
Machine Learning and Data Science Blueprints for Finance
Author Hariom Tatsat , Sahil Puri , Brad Lookabaugh
Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researchers, and developers will learn how to build machine learning algorithms crucial to the industry. You’ll examine ML concep....
Release Date 2020/10 -
AI and Machine Learning for Coders
Author Laurence Moroney
If you’re looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you....
Release Date 2020/10 -
Getting Started with Artificial Intelligence, 2nd Edition
Author Tom Markiewicz , Josh Zheng
Getting started in enterprise AI can be daunting. Is your data pipeline robust enough? Do you want to mine unstructured data in emails, blog posts, and other documents? Build a chatbot? Use computer vision to classify images? Where do you start? And how do you make sure y....
Release Date 2020/10 -
Author Patrick Hall , Navdeep Gill , Benjamin Cox
Like other powerful technologies, AI and machine learning present significant opportunities. To reap the full benefits of ML, organizations must also mitigate the considerable risks it presents. This report outlines a set of actionable best practices for people, processes....
Release Date 2020/10 -
AI Orchestration Methodologies
Author Pam Baker
AI is the brain behind anything labeled a "smart" technology. But AI exists today as piecemeal components, pilots, and projects, limiting how "smart" a data-driven organization can be. In this report, author Pam Baker provides a nontechnical overview of AI orchestration, ....
Release Date 2020/10 -
Author Éric Schaer , Jean-Claude André
Process engineering emerged at the beginning of the 20th Century and has become an essential scientific discipline for the matter and energy processing industries. Its success is incontrovertible, with the exponential increase in techniques and innovations. Rapid advances in new technologies s....
Release Date 2020/10 -
Artificial Intelligence with Python Cookbook
Author Ben Auffarth
Work through practical recipes to learn how to solve complex machine learning and deep learning problems using PythonKey FeaturesGet up and running with artificial intelligence in no time using hands-on problem-solving recipesExplore popular Python libraries and tools to ....
Release Date 2020/10 -
Hands-On Vision and Behavior for Self-Driving Cars
A practical guide to learning visual perception for self-driving cars for computer vision and autonomous system engineersKey FeaturesExplore the building blocks of the visual perception system in self-driving carsIdentify objects and lanes to define the boundary of driving surfaces using open-source.... -
Python Machine Learning By Example - Third Edition
Author Yuxi Liu
A comprehensive guide to get you up to speed with the latest developments of practical machine learning with Python and upgrade your understanding of machine learning (ML) algorithms and techniquesKey FeaturesDive into machine learning algorithms to solve the complex chal....
Release Date 2020/10 -
Machine Learning Concepts with Python and the Jupyter Notebook Environment: Using Tensorflow 2.0
Author Nikita Silaparasetty
Create, execute, modify, and share machine learning applications with Python and TensorFlow 2.0 in the Jupyter Notebook environment. This book breaks down any barriers to programming machine learning applications through the use of Jupyter Notebook instead of a text....
Release Date 2020/09 -
Author Eberhard Hechler , Martin Oberhofer , Thomas Schaeck
Your company has committed to AI. Congratulations, now what? This practical book offers a holistic plan for implementing AI from the perspective of IT and IT operations in the enterprise. You will learn about AI’s capabilities, potential, limitations, and challenges....
Release Date 2020/09 -
Practical TensorFlow.js: Deep Learning in Web App Development
Author Juan De Dios Santos Rivera
Develop and deploy deep learning web apps using the TensorFlow.js library. TensorFlow.js is part of a bigger framework named TensorFlow, which has many tools that supplement it, such as TensorBoard, ml5js, tfjs-vis. This book will cover all these technologies ....
Release Date 2020/09 -
Analytical Thinking for AI and Data Science
Author Daniel Vaughan
While several market-leading companies have successfully transformed through data- and AI-driven approaches to business, the vast majority have yet to reap the benefits. How can your business and analytics units gain a competitive advantage by capturing the potenti....
Release Date 2020/09 -
Author Aileen Nielsen
Fairness is an increasingly important topic as machine learning and AI more generally take over the world. While this is an active area of research, many realistic best practices are emerging at all steps along the data pipeline, from data selection and preprocessi....
Release Date 2020/09 -
Author Dean Wampler
The use of distributed programming is increasing. High availability requires multiple machines and often multiple data centers. Machine learning and AI models are run as parallel tasks on clusters to reduce training time. But distributed programming has always been hard t....
Release Date 2020/09 -
Author Eóin Shanaghy , Peter Elger
AI as a Service is a fast-paced guide to harnessing the power of cloud-based solutions. You'll learn to build real-world apps—such as chatbots and text-to-speech services—by stitching together cloud components. Work your way from small projects to large data-intensive ap....
Release Date 2020/09 -
Author Dr. Pablo Rivas , Laura Montoya
Implementing supervised, unsupervised, and generative deep learning (DL) models using Keras and Dopamine over TensorFlow.Key FeaturesUnderstand the fundamental machine learning concepts useful in deep learningLearn the underlying mathematical concepts as you implement dee....
Release Date 2020/09 -
Deep Reinforcement Learning with Python - Second Edition
An example-rich guide for beginners to start their reinforcement and deep reinforcement learning journey with state-of-the-art distinct algorithmsKey FeaturesCovers a vast spectrum of basic-to-advanced RL algorithms with mathematical explanations of each algorithmLearn how to implement algorithms wi....