What are some good books for machine learning if one is starting from the ground?

Question

I am trying to learn machine learning and as maths is an integral part of this, especially statistics, I want to know the names of some foundation books on these chapters.

Answer 1

Bonjour

Answer 2

The Hundred Page Machine Learning Book by Andriy Burkov:
http://themlbook.com

Although it's focused on algorithms, not on statistics.

Answer 3

There are tons of introductory ML books on from Packt and they periodically have free offers too. Check this link every day.
https://www.packtpub.com/packt/offers/free-learning

Answer 4

Well the best book for beginners is;
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
by Aurélien Géron it's very good and easy for beginners

Answer 5

At cognitive.ai there is a free MOOC, Machine Learning in Python, made by IBM and almost equivalent to their specialization on coursera.org. I know it is not a book, but books most of the time send me asleep wjen I finally have time for them. Furthermore, here you have coding exercices!

Answer 6

If you dont already know the maths, certain aspects of machine learning can be somewhat difficult to grasp - particularly the statistical Inference aspects of machine learning (linear models, support vectors machines, PCA, gaussian processes and kernel smoothing etc.). Using machine learning as a black box is dangerous.

Having said this, if you understand statistics and linear algebra, you should be fine to check out Introductory ML books with Python, as Sascha Walliser has suggested. But for more theoretical applications of machine learning (once you know the maths) are books like Chris Bishop: Pattern Recognition and Machine Learning, and Jerome H Friedman: Elements Of Statisical Learning.

A great introduction to statistical Inference (a sort of precursor to full on Machine Learning) is Gareth James: An Introduction To Statistical Learning which gives a good introduction to the maths.

Answer 7

I would suggest Machine Learning for Beginners by John Slavio. It's just 60 pages book and in easy to understand language.

Answer 8

What is the sole purpose of machine learning

Answer 9

Machine learning is a collection of statistical data analysis methods, that you can apply to data. With this toolset a data scientist can identify relationships and dependencies between certain variables (data points), building up mathematical models. These can be used also to predict results applied to new (and eventually totally different) data.

Answer 10

Is python the best and easy to start with or Java

Answer 11

Seconding the slavio book!

Answer 12

What is the advantages of learning machine language and what will I learn from it?

Answer 13

What is machine language

Answer 14

In simple terms, Machine Learning is a kind of AI which gives a computer the ability to learn from it's experience (well usually data given by programmers).

Answer 15

Exactly this question (WHAT IS MACHINE LANGUAGE)

Answer 16

https://www.sololearn.com/post/91601/?ref=app

Answer 17

Test the technique used for manipulating output targets in machine learning

Answer 18

expalin about mcnn in machine learning

Answer 19

Please who can share with me eBook on Machine Learning for Beginners by John Slavio