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AI Excellence: Expert-Level Artificial Intelligence Knowledge Book 4

2024-09-12 Computers
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Release : 2024-09-12
Genre : Computers
Kind : eBook
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Book Synopsis AI Excellence: Expert-Level Artificial Intelligence Knowledge Book 4 by : DIZZY DAVIDSON

Download or read book AI Excellence: Expert-Level Artificial Intelligence Knowledge Book 4 written by DIZZY DAVIDSON. This book was released on 2024-09-12. Available in PDF, EPUB and Kindle. Book excerpt: Are you struggling to fully understand AI and automation? Do you find yourself overwhelmed by the complexities of artificial intelligence? You’re not alone. Many aspiring experts face the same challenges. But here’s the good news: “AI Excellence: Expert-Level Artificial Intelligence Knowledge Book 4” is here to guide you through the intricacies of AI and automation. This book is your ultimate resource for mastering AI. By reading and applying the concepts within, you’ll gain: In-depth knowledge of advanced AI topics. Practical insights into automation techniques. Cutting-edge strategies for AI implementation. Enhanced problem-solving skills in AI and automation. Why is this book the perfect solution for you? Comprehensive Coverage: From the basics to expert-level concepts, this book covers it all. Expert Guidance: Written by seasoned AI professionals, ensuring you get the best advice. Real-World Applications: Learn how to apply AI and automation in various industries. Engaging Content: Easy-to-understand language and practical examples make learning enjoyable. Don’t miss out on the opportunity to become an AI expert. Get your copy of “AI Excellence” today and unlock the full potential of artificial intelligence and automation. Key Benefits: Master advanced AI concepts. Implement effective automation strategies. Stay ahead in the AI revolution. Boost your career with expert-level AI knowledge. Take action now! Get “AI Excellence: Expert-Level Artificial Intelligence Knowledge Book 4” and transform your understanding of AI and automation. Your journey to AI mastery starts here!

Artificial Intelligence for All

2018-08-20 Education
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Release : 2018-08-20
Genre : Education
Kind : eBook
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Book Synopsis Artificial Intelligence for All by : Vikas Pathak

Download or read book Artificial Intelligence for All written by Vikas Pathak. This book was released on 2018-08-20. Available in PDF, EPUB and Kindle. Book excerpt: This Book provides introductory knowledge on Artificial Intelligence. You can briefly know about the areas of AI in which research is prospering. The book "Artificial Intelligence For All" is basically intended as a generic study for all the audience who are keen to know about the changing world and technology. Book provides knowledge in simple and systematic manner as it is written to gain generic knowledge of the most popular subject Artificial Intelligence and definitely about its spread. In general everybody now knows about Artificial Intelligence as due to availability of multiple channels like news, media and online literature which gives brief description about the subject. But how Artificial Intelligence works, how it is formed and what are the areas of study required gaining the knowledge is described in nine chapters in this book. This book is written in a sequence of chapters starting from search methods and move to identifying a problem, following approaches like planning, constraints specifications, game playing things etc. However an attempt has been made to write each chapter in a simplistic manner, so that reader can read interested topic and gain understanding without efforts. Audience , This book is prepared for the students at beginner level, curious readers, interested subject knowledge experts and general audience who aspire to know about Artificial Intelligence.

Mathematics for Machine Learning

2020-04-23 Computers
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Release : 2020-04-23
Genre : Computers
Kind : eBook
Book Rating : 323/5 ( reviews)

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Book Synopsis Mathematics for Machine Learning by : Marc Peter Deisenroth

Download or read book Mathematics for Machine Learning written by Marc Peter Deisenroth. This book was released on 2020-04-23. Available in PDF, EPUB and Kindle. Book excerpt: The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.

BASICS OF ARTIFICIAL INTELLIGENCE & MACHINE LEARNING

2019-06-03 Computers
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Release : 2019-06-03
Genre : Computers
Kind : eBook
Book Rating : 831/5 ( reviews)

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Book Synopsis BASICS OF ARTIFICIAL INTELLIGENCE & MACHINE LEARNING by : Dr Dheeraj Mehrotra

Download or read book BASICS OF ARTIFICIAL INTELLIGENCE & MACHINE LEARNING written by Dr Dheeraj Mehrotra. This book was released on 2019-06-03. Available in PDF, EPUB and Kindle. Book excerpt: The concept of Artificial Intelligence (AI) & Machine Learning (ML) has been in practice for over years with the advent of technological progress. Over time, it has blended our lives through nearly every narration of learning, teaching, enjoyment, normal routine operations and what not. The aspect delivers a common understanding of the topics with reference to it making an impact on our lives, with a better framework of technology affecting our lives in particular. Let us look up to science for a change to be brought about in us. Let us create awareness of making technology available to people, in a broader sense. As that happens, people who are responsible need to be told about the use and misuse of the same. As we lead our lives, we come across the fact that AI, Robotics and Learning Machines seem to be the household topic of discussion. Earlier, AI was perceived to be reserved for only ‘Geniuses’ or ‘Researchers’ or the ‘computer’ community, but it very aptly integrates and impacts each and every aspect of our lives. Knowingly or unknowingly, it has become intellectually influential in shaping our thoughts, actions and the day-to-day chores.

Deep Learning for Coders with fastai and PyTorch

2020-06-29 Computers
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Release : 2020-06-29
Genre : Computers
Kind : eBook
Book Rating : 497/5 ( reviews)

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Book Synopsis Deep Learning for Coders with fastai and PyTorch by : Jeremy Howard

Download or read book Deep Learning for Coders with fastai and PyTorch written by Jeremy Howard. This book was released on 2020-06-29. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala

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