Machine Learning and Artificial Intelligence

2019-09-24 Technology & Engineering

Author : Ameet V Joshi
Release : 2019-09-24
Genre : Technology & Engineering
Kind : eBook
Book Rating : 222/5 ( reviews)

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Book Synopsis Machine Learning and Artificial Intelligence by : Ameet V Joshi

Download or read book Machine Learning and Artificial Intelligence written by Ameet V Joshi. This book was released on 2019-09-24. Available in PDF, EPUB and Kindle. Book excerpt: This book provides comprehensive coverage of combined Artificial Intelligence (AI) and Machine Learning (ML) theory and applications. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both perspectives to give holistic understanding. The first part introduces the concepts of AI and ML and their origin and current state. The second and third parts delve into conceptual and theoretic aspects of static and dynamic ML techniques. The forth part describes the practical applications where presented techniques can be applied. The fifth part introduces the user to some of the implementation strategies for solving real life ML problems. The book is appropriate for students in graduate and upper undergraduate courses in addition to researchers and professionals. It makes minimal use of mathematics to make the topics more intuitive and accessible. Presents a full reference to artificial intelligence and machine learning techniques - in theory and application; Provides a guide to AI and ML with minimal use of mathematics to make the topics more intuitive and accessible; Connects all ML and AI techniques to applications and introduces implementations.

A Citizen's Guide to Artificial Intelligence

2021-02-23 Computers

Author : John Zerilli
Release : 2021-02-23
Genre : Computers
Kind : eBook
Book Rating : 811/5 ( reviews)

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Book Synopsis A Citizen's Guide to Artificial Intelligence by : John Zerilli

Download or read book A Citizen's Guide to Artificial Intelligence written by John Zerilli. This book was released on 2021-02-23. Available in PDF, EPUB and Kindle. Book excerpt: A concise but informative overview of AI ethics and policy. Artificial intelligence, or AI for short, has generated a staggering amount of hype in the past several years. Is it the game-changer it's been cracked up to be? If so, how is it changing the game? How is it likely to affect us as customers, tenants, aspiring home-owners, students, educators, patients, clients, prison inmates, members of ethnic and sexual minorities, voters in liberal democracies? This book offers a concise overview of moral, political, legal and economic implications of AI. It covers the basics of AI's latest permutation, machine learning, and considers issues including transparency, bias, liability, privacy, and regulation.

Machine Learning and Artificial Intelligence in Marketing and Sales

2021-03-10 Business & Economics

Author : Niladri Syam
Release : 2021-03-10
Genre : Business & Economics
Kind : eBook
Book Rating : 826/5 ( reviews)

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Book Synopsis Machine Learning and Artificial Intelligence in Marketing and Sales by : Niladri Syam

Download or read book Machine Learning and Artificial Intelligence in Marketing and Sales written by Niladri Syam. This book was released on 2021-03-10. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning and Artificial Intelligence in Marketing and Sales explores the ideas, and the statistical and mathematical concepts, behind Artificial Intelligence (AI) and machine learning models, as applied to marketing and sales, without getting lost in the details of mathematical derivations and computer programming.

Machine Learning

2022-04-30 Architecture

Author : Phil Bernstein
Release : 2022-04-30
Genre : Architecture
Kind : eBook
Book Rating : 688/5 ( reviews)

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Book Synopsis Machine Learning by : Phil Bernstein

Download or read book Machine Learning written by Phil Bernstein. This book was released on 2022-04-30. Available in PDF, EPUB and Kindle. Book excerpt: ‘The advent of machine learning-based AI systems demands that our industry does not just share toys, but builds a new sandbox in which to play with them.’ - Phil Bernstein The profession is changing. A new era is rapidly approaching when computers will not merely be instruments for data creation, manipulation and management, but, empowered by artificial intelligence, they will become agents of design themselves. Architects need a strategy for facing the opportunities and threats of these emergent capabilities or risk being left behind. Architecture’s best-known technologist, Phil Bernstein, provides that strategy. Divided into three key sections – Process, Relationships and Results – Machine Learning lays out an approach for anticipating, understanding and managing a world in which computers often augment, but may well also supplant, knowledge workers like architects. Armed with this insight, practices can take full advantage of the new technologies to future-proof their business. Features chapters on: Professionalism Tools and technologies Laws, policy and risk Delivery, means and methods Creating, consuming and curating data Value propositions and business models.

Artificial Intelligence, Machine Learning, and Deep Learning

2020-01-23 Computers

Author : Oswald Campesato
Release : 2020-01-23
Genre : Computers
Kind : eBook
Book Rating : 665/5 ( reviews)

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Book Synopsis Artificial Intelligence, Machine Learning, and Deep Learning by : Oswald Campesato

Download or read book Artificial Intelligence, Machine Learning, and Deep Learning written by Oswald Campesato. This book was released on 2020-01-23. Available in PDF, EPUB and Kindle. Book excerpt: This book begins with an introduction to AI, followed by machine learning, deep learning, NLP, and reinforcement learning. Readers will learn about machine learning classifiers such as logistic regression, k-NN, decision trees, random forests, and SVMs. Next, the book covers deep learning architectures such as CNNs, RNNs, LSTMs, and auto encoders. Keras-based code samples are included to supplement the theoretical discussion. In addition, this book contains appendices for Keras, TensorFlow 2, and Pandas. Features: Covers an introduction to programming concepts related to AI, machine learning, and deep learning Includes material on Keras, TensorFlow2 and Pandas

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