The Machine Learning Simplified: A Gentle Introduction to Supervised Learning
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(as of Nov 12, 2024 23:30:11 UTC – Details)
The underlying goal of “Machine Learning Simplified” is to develop strong intuition into inner workings of ML. We use simple intuitive examples to explain complex concepts, algorithms or methods, as well as democratize all mathematics “behind the scenes”.
After reading this book, you will understand everything that comes into the scope of supervised ML. You will be able to not only understand nitty-gritty details of mathematics, but also explain to anyone how things work on a high level.
ASIN : B0B216KMM4
Publication date : May 22, 2022
Language : English
File size : 66996 KB
Simultaneous device usage : Unlimited
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Enabled
Print length : 390 pages
Customers say
Customers find the book’s introduction well-detailed and interesting. They say it truly teaches the basics and is great for beginners. Readers also appreciate the writing style as good and simple.
AI-generated from the text of customer reviews
12 reviews for The Machine Learning Simplified: A Gentle Introduction to Supervised Learning
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Tara Dodson –
A wonderful breakdown of Machine Learning (ML)and the resolutions it provides.
This eBook helped to provide a simpler version of Machine Learning and the problems it can solve. It had an easy-to-understand introduction that provided a novice like me with the foundational knowledge of what Machine Learning is. The well detailed introduction also mentions the terminology and subject areas that you may want to be familiar with, before reading the book. Statistics and algorithms are two of those. Thus, leading to possible marketing ideas and strategies. This is one example of what Machine Learning has to offer. The body of the book goes on to provide examples of Machine Learning such as how to extract and prepare data, including data visualization provided by colorful charts and graphs, as well as easy to decipher mathematical and statistical equations. Another feature that the author has provided is helpful hyperlinks that will direct the reader to different websites where you can get a personalized experience with Machine Learning. I highly recommend this eBook if you are interested in Machine Learning. Even if you feel that you have no need of this knowledge, it is a great read. Like me, you will find helpful information, that you didn’t even know you were interested in.
P.L. (Trisha) Smith –
Good introduction
It was a good introduction to the topic. I feel he did a decent job of introducing what AI and machine learning is and how it works. He has a pretty good understanding of the topic and has conveyed that information and knowledge in a manner that is easy to read and understand. The information is good, and it shows you all of the basics, but it needs more detail that can help you better understand the topic and how it works in your own life.The writing style is good. He speaks with knowledge of the subject and explains it easily for readers. The book was well written without the mistakes in grammar, spelling, and punctuation that I often see in other books any more. His was relatively free of errors and did not distract me in the least.This is a very short book, but one with good information that can help people understand what machine learning is, why it is important, and answer any other questions they may have on the topic. I think there is value in this book and whoever reads it will find new information to help them learn more.
Zach –
A Must-Read for Mastering Supervised Machine Learning!
I recently completed âThe Machine Learning Simplified: A Gentle Introduction to Supervised Learning,â and Iâm beyond impressed with its approach to demystifying complex concepts. The bookâs primary goal of developing a strong intuition into the inner workings of machine learning is brilliantly achieved through simple, intuitive examples. After finishing the book, I now feel equipped to comprehend every facet of supervised machine learning!
Emma –
Good Summary and Intro to Supervised ML
I read this book rather quickly to get up to speed on concepts of supervised ML. Initial chapter does a good job showing an overview of AI as a whole and where supervised ML resides as part of the whole.
Kayla Poellnitz –
Perfect book for ML
This book goes into great detail on ML. I would highly recommend for those needed a very detailed introduction. The amount of content that is included in this book makes it worth every penny! The prices is extremely good! I would definitely recommend to anyone that is needing a great introduction to ML.
Jennifer –
Simple
This is a great book for beginners. It seems to be more simple to understand then any other book I’ve read on the subject. Im sure this book would be exciting for some people but, it just wasn’t something I could really get into. By no fault of the writer!
Saya Jacaranda –
nice
âThe Machine Learning Simplified: A gentle introduction to supervised learningâ by Andrew Wolf is an amazing and outstanding book that will teach you the basics of machine learning as well as the more advanced machine learning algorithms. These two different levels of difficulty are clearly divided in part one and part two, which I truly appreciated as it made it so much easier to understand the whole concept. Furthermore, concepts such as the difference between data science and MLOps and machine learning are discussed, adding to the typical problems one can solve with the help of Machine Learning. These are just a couple of examples but the book is full of enriching information. I definitely recommend it.
Falon Charles-Jabri –
A good introduction to supervised learning
Author Andrew Wolf created a good introduction to supervised learning called “Machine Learning Simplified”, a book which is easy to follow and very interesting.The topic may be seen as something difficult to grasp but the author has a nice writing style that makes the difficult something simplified. I really liked that, due to that I learned a lot with this book.I can certainly say that after reading Machine Learning Simplified, I am able to understand most things related to supervised ML. Also, I think that now I am capable of explaining some concepts to others.It is a complete and interesting reading that I think many people will benefit from. Recommended!
Cliente de Kindle –
Es un gran libro que cumple con su objetivo de proporcionar una introducción a los temas más relevantes del aprendizaje autónomo supervisado. Además es muy fácil de leer y sus fundamentos pueden ser útiles para comenzar en este campo del Machine Learning
Priscilla Credico –
A great resource for individuals who desire to learn programming but are unsure of where to begin. The book contains simple and extremely important informations available to help, and that may be used by anyone, whether they are experts/technical or completely laypeople on the subject. The chapters were all summarised and arranged in a way that wouldn’t overwhelm your mind, providing an excellent reading and incomparable learning experience. Highly recommended.
Tejj –
As the title shows simplified Machine learning in a simplified way. Very well written with good examples.
Francesco Varani –
A good introduction to machine learning.The problem is the formula formatting, they are awful, can’t distinguish if an index or something else, so the maths is nearly impossible to follow.