Machine Learning cover art

Machine Learning

A Beginners Guide to History, Development and Future Possibilities of Machine Learning

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Machine Learning

By: William Bahl
Narrated by: William Bahl
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About this listen

This book is designed to be an introduction to machine learning algorithms for a complete beginner. It starts with an explanation of exactly what machine learning algorithms are and then walks you through the languages and frameworks used to create them.

Studying machine learning is considered to be quite challenging due to the impression that special talent is required or some unachievable level of mathematics is needed in order to understand the various algorithms and techniques. The purpose of this book is to show you that anyone can learn to become a machine learner and put the theory into practice.

This book provides you with all the information you need to understand machine learning at a beginner level. You will get an idea on the different subjects that are linked to machine learning and some facts about machine learning that make it an interesting subject to learn. Without further ado let’s get started.

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2019 William Bahl (P)2019 William Bahl Computer Science Machine Theory & Artificial Intelligence Machine Learning Data Science Technology Artificial Intelligence Thought-Provoking

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This is really an excellent audio-book about machine learning. If the terms are used, they should be defined upfront. If various specific methods are mentioned, it would be good to provide a comparison and overview of those. I really like this audio-book and would recommend any one who need such type of information.

This is really an excellent audiobook

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Listener received this title free

This course didn't give complete knowledge on Data Science with Machine Learning for Real world project. The purpose of this book is to show you that anyone can learn to become a machine learner and put the theory into practice.

GREAT INTRODUCTION

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Machine learning can work really well when it comes to the field of data science as well as artificial intelligence. To start, data science is a pretty broad term that will include different concepts. One of these concepts is machine learning, but it can also include artificial intelligence, big data, and data mining to name a few. Data science is actually a newer field that is growing as people find more uses for computers and use them more often.

Statistics is really important when it comes to data science, and it can also be used often when it comes to machine learning. You would be able to work with classical statistics, even at the higher levels, so that the data set will stay consistent throughout. But the way that you use it will depend on what kinds of data you are using and how complex the information gets.

It is important to understand the difference between the categories of artificial intelligence and machine learning. There are some instances where they can be very similar, but there are some major differences, which is why they are considered two different things.

Great book for data scientists

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This book is designed to be an introduction to machine learning algorithms for a complete beginner. It starts with an explanation of exactly what machine learning algorithms are and then walks you through the languages and frameworks used to create them. Studying machine learning is considered to be quite challenging due to the impression that special talent is required or some unachievable level of mathematics is needed in order to understand the various algorithms and techniques. The purpose of this book is to show you that anyone can learn to become a machine learner and put the theory into practice. This book provides you with all the information you need to understand machine learning at a beginner level. You will get an idea on the different subjects that are linked to machine learning and some facts about machine learning that make it an interesting subject to learn. Without further ado let’s get started. Machine learning is the use of specialized algorithms to develop self-learning computer programs that can be used to analyze data and build analytical models. These algorithms can be applied to a wide range of problems, though they’re most commonly employed for pattern recognition and discovering relationships between datasets.

The best book on generative models out there

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This audible book is an introduction to machine learning techniques that methods many of the topics without going into many detailed explanations. This was a perfect guide for those people who need this kind of audible book. It is an excellent survey of the field of machine learning. This book provides the much-needed entry point for people who really could use machine learning to accomplish practical tasks.

This book amaze me

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