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Machine Learning

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

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Machine Learning

De: William Bahl
Narrado por: William Bahl
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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.

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
Informática Aprendizaje automático Ciencia de datos Tecnología Inteligencia artificial
Comprehensive Introduction • Accessible Explanations • Practical Applications • Beginner-friendly Content

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This is a very informative audio book. I am completely listening this audio book it's helpful for developing my skill. This audio book Machine Learning that guide all beginners to history, development and future possibilities of machine learning is very helpful for understanding. I am happy to get this audiobook. Thanks to the great author!

This is a very informative audio book

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El oyente recibió este título gratis

Businesses need to make sure that they are using the right kind of terminology to ensure that they are getting the most out of this process. You can call these things deep learning, computer vision, or machine learning; but do not call it AI. All of these do sometimes find themselves under the umbrella of artificial intelligence as a term, but they are different.

Good price at only $6.95

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This is an excellent introduction to machine learning for anyone but will likely be more satisfying for those who may be familiar with computer programming and basic statics. I would like to tell everybody, that this book was perfect for those who wants to jump in the machine learning field. Lots of real-world scenarios, perfect example is one of the best features of these audible.

This is an excellent book for beginners

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This audio book methods the fundamentals with a light language to listen to. I am keen on machine learning and my associate prescribed me to pursue this audio book. As a beginner to the topic, I got everything i needed to know in enough depth and breadth. Very good understanding and breadth.

Very good understanding and breadth

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El oyente recibió este título gratis

In supervised learning, you are going to train the machine to do what you want, and things have to be well labeled in order to see them work. You want to be able to train a machine in a manner that helps you to predict how long it is going to take to make the predictions that you want. Out of the different machine learning algorithms that are out there, you will find that supervised learning is going to be easier to work with than unsupervised learning and two of the techniques that work with this are classification and regression. The biggest challenge that programmers are going to notice with this is that if they get some input features that are irrelevant to this, then you are going to get inaccurate results. It can help you to collect up the data that you want, or even to produce a new output of data from your previous experiences. Supervised learning, according to training decision trees and networks, is the most common technique used. Machine learning technology is the only way you will be able to get these programs to work. Regular coding is not able to do this complex task. The system needs to read through your request, look through millions of websites, and then pick out the one that matches up to your needs. And in the beginning, it may not do the best job picking out what you want. But thanks to the machine learning technology behind it, these programs can learn your search preferences and will learn exactly what you are looking for based on your choice.

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