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Python Machine Learning Guide for Beginners & Intermediates: The Future Is Here!
Machines can learn? This is your beginner's step-by-step guide!
Artificial intelligence is taking over the world at a rapid rate. More and more, we see everything becoming automated, systematized, and self-sufficient.
Let's face it, machine learning is here to stay for the foreseeable future and will impact the lives of billions worldwide! It is drastically changing the world in which we live in the most fundamental ways, including our perceptions, life-styles, thinking, and other aspects as well.
What you will
Linear and polynomial regression Support vector machines Decision trees Random forest KNN algorithm Naive Bayes algorithm Unsupervised learning Clustering Cross validation Grid search And much, much more! If you want to learn more about Python machine learning, it is highly recommended you start from the ground up by using this audiobook. Guides on this subject matter normally retail for hundreds of dollars! Why not start off by making a small and affordable investment with your beginner's guide that walks you through Python machine learning step-by-step?
Why choose this audiobook?
Addresses fundamental concepts Goes straight to the point, no fluff or nonsense Practical examples High-quality diagrams "Noob-friendly" (good for beginners and intermediates) Contains various aspects of machine learning Endorses learn "by doing approach" Concise and to the point I have been working tirelessly to provide you quality audiobooks at an affordable price. I believe this audiobook will give you the confidence to tackle Python machine learning at a fundamental level.
What are you waiting for? Make the greatest investment in knowledge base right now. Buy your copy now!
PLEASE When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
Artificial intelligence is taking over the world at a rapid rate. More and more, we see everything becoming automated, systematized, and self-sufficient.
Let's face it, machine learning is here to stay for the foreseeable future and will impact the lives of billions worldwide! It is drastically changing the world in which we live in the most fundamental ways, including our perceptions, life-styles, thinking, and other aspects as well.
What you will
Linear and polynomial regression Support vector machines Decision trees Random forest KNN algorithm Naive Bayes algorithm Unsupervised learning Clustering Cross validation Grid search And much, much more! If you want to learn more about Python machine learning, it is highly recommended you start from the ground up by using this audiobook. Guides on this subject matter normally retail for hundreds of dollars! Why not start off by making a small and affordable investment with your beginner's guide that walks you through Python machine learning step-by-step?
Why choose this audiobook?
Addresses fundamental concepts Goes straight to the point, no fluff or nonsense Practical examples High-quality diagrams "Noob-friendly" (good for beginners and intermediates) Contains various aspects of machine learning Endorses learn "by doing approach" Concise and to the point I have been working tirelessly to provide you quality audiobooks at an affordable price. I believe this audiobook will give you the confidence to tackle Python machine learning at a fundamental level.
What are you waiting for? Make the greatest investment in knowledge base right now. Buy your copy now!
PLEASE When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
Audible Audio
Published August 23, 2018
77 people are currently reading
19 people want to read
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Displaying 1 - 3 of 3 reviews
October 7, 2018
Poorly written, littered with typographical mistakes including pagination errors and hyperlinks with just the word 'link'.
Content-wise, the book is less an introduction and more a set of predefined scripts that are repetitive and do little to teach the reader about machine learning. The book starts with a basic, albeit traditional, 'hello world' program and then swiftly moves on to reasonably complex machine learning with little in the way of explanation.
As for being illustrated, it isn't really. Bar a couple of graphs here and there the majority of what might be considered illustrations are simply code formatted to look as such.
Had I known this was self-published I would never have bought it, and I would advise you to look elsewhere.
Content-wise, the book is less an introduction and more a set of predefined scripts that are repetitive and do little to teach the reader about machine learning. The book starts with a basic, albeit traditional, 'hello world' program and then swiftly moves on to reasonably complex machine learning with little in the way of explanation.
As for being illustrated, it isn't really. Bar a couple of graphs here and there the majority of what might be considered illustrations are simply code formatted to look as such.
Had I known this was self-published I would never have bought it, and I would advise you to look elsewhere.
May 6, 2020
Nice guide
I like this book because it explains (briefly) different approaches. It is a good starting point that might help to narrow your options (if you have doubts about a model that you want to use)
I like this book because it explains (briefly) different approaches. It is a good starting point that might help to narrow your options (if you have doubts about a model that you want to use)
October 4, 2019
Bad book, the contents its very wrong in very topics, waste of time and money
Displaying 1 - 3 of 3 reviews