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Machine Learning & Markov Models

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Machine Learning & Markov Models

By: William Sullivan
Narrated by: Lukas Arnold
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About this listen

Two audiobooks in one. Do not miss out on the bundle book offer! What you'll learn:

Book one: Machine Learning

You will learn the fundamentals of machine learning from algorithms, Python, and supervised and unsupervised learning. Concepts such as decision trees and random forest introduction are explained in detail to assist in grasping the subject matter. You will learn real world applications of machine learning (artificial intelligence) and understand how it will affect humanity in the upcoming years.

The world is constantly changing and evolving. Transportation was revolutionized by cars and planes; however, machine learning will revolutionize the world in which we live from simple day-to-day tasks to even the most complex endeavors.

Book two: Markov Models

In this segment of the bundle, you will learn the mathematics behind Markov model algorithms, artificial intelligence, weather reporting, Bayesian inference, tools, solutions, and much, much more! You will gain insights to the three main problems of Markov models and learn how to overcome them. You will also learn about the real world applications, implications, and theories of Markov models.

©2017 Healthy Pragmatic Solutions Inc. (P)2017 Healthy Pragmatic Solutions Inc. Engineering Mathematics Machine Learning Data Science Computer Science Artificial Intelligence

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For what it is, a brief, nontechnical overview of the field of machine learning, including a discussion of employment opportunities and online courses, this s short audible book is terrific.

terrific

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This is a fantastic Machine Learning book for the absolute beginner. Great introduction to machine learning has been explained and designed for absolute beginners where core algorithms are introduced, clear explanations and functions well explained.

great intro

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The author gives an overview of data science that distinguishes machine learning from data mining, artificial intelligence, etc. I found this useful. He gives specific examples of how machine learning is implemented in marketing and elsewhere. Different types of algorithms, some supported by humans and some not, the machine learning or data mining or other data science. For anyone who is interested in learning the terminology and scope of approaches that comprise machine learning, this book is current, concise, and informative

great overview

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A great book for people who want to gain knowledge about machine learning. The book deals with the different fields of machine learning like neural networks and algorithms for machine learning. This book is for all the beginners who want to start learning about machine learning from scratch. The book is also very good for those who have no knowledge in machine learning and want to start somewhere.

great book

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This is a really good book.I enjoyed the readability of this book. The focus is on how to use and understand ML rather than the math behind the algorithms. Was an enjoyable listen

really good

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