Machine Learning For Absolute Beginners: A Plain English Introduction: 1 (Machine Learning from Scratch): 3

Useful and well written. Having a science background can be useful. Overall a good read. Thank you. Enjoyed reading it

The world is now behind Machine Learning, to ease up and provide better facility and thereby improving the capabilities on our the day to day actions. This is a good place to start the journey into this new world. I would say understanding ML is a must as it is invading every nook and corner of the streams available in our realm. So start your journey and for that this is a good Starter.

This is a quick read. Touches basics of Machine Learning. This book is highly recommended for non technical people who wants to understand and learn ML.

The book organizes the theoretical and practical aspects of various ML techniques in very simple way which is great for a beginner. While this is not sufficient for anybody expecting to master the science, it's a great start to look further. The terminologies and basic concepts helps to set a direction to pursue for deeper learning. It also has good references for people looking to gain more expertise.

Too basic to cover such a vast topic.

This book taught an overview of what is machine learning and how to create a model stage by stage. Also on how to use python for machine learning. Nice book helped me a lot.

It's an simplified introduction to machine learning for beginners, it gives you fair idea of what , why and how of machine learning and ends with a practical example in python

Good and easy language

es un libro excelente para aquellos, como yo, que desean iniciar su aprendizaje sobre el machine learning, en caso me resulto bastante útil para comprender lo básico, lo recomiendo a todos aquellos que desean comenzar su aventura, investigación, aprendizaje sobre este tema.

As its title says, this is an introduction. A short, structured book useful for pure beginners in order to get a good grasp of data science, machine learning and the main algorithms. Obviously less useful for people with preexisting knowledge in machine learning. Prior basic knowledge of programming and mathematics is recommended.

Easy to understand as a novice and loved the fact that in the last couple of chapters, you actually get to put the book to use by building and optimising a decision tree based machine learning model using Python.

I highly recommend this book for people who want to start with Machine learning. It is a great starting point's book to get into this world. Concepts are very we'll explained. I started to understand things I had not been able to understand with other books and YouTube videos. It is helping me a lot to understand the foundations and key concepts of Machine learning.

I bought this book for my wife and I have never seen her so happy! She rarely finishes an academic book, but this one felt so natural for her to get to the end of it. She had no knowledge of machine learning but a physics background. This book gives a great way of starting into this fascinating topic!