What do you think?
Rate this book
Python Machine Learning: The Ultimate Beginners’ Guide for Building Intelligent Systems with Python, Raspberry Pi, and TensorFlow. Includes Practical Step-by-Step Techniques and Exercises
Python Machine LearningWould you want to learn how to utilize Python to produce machine learning models, but you think it would be too complicated for you?
Or maybe you like to automate simple stuff with your PC, but you do not know how to do it.
As a novice, you might think programming is complicated. Understanding artificial intelligence coding could take several months. Not to mention that the chance of giving up before perfecting it could be high. Therefore, you could think of employing a professional developer to shorten the time if you have time to develop.
That might look like a great solution, but it is surely very costly. You still have pay for the developer if he doesn’t do the proper job you want. You know the best solution for this?
The perfect solution is to follow a complete programming manual with hands-on projects as well as practical exercises. This book is structured as a course with six chapters.
Inside the book, you will be able to go through a first section in which basic and fundamental notions of deep learning are mention, to get to the next chapters made to help you learn advanced coding insights needed to build training data sets for the development of successful machine learning models.
In detail, you will
The Fundamentals of Machine LearningMachine-Learning SystemsAn Overview of Python for Machine LearningUnderstanding Python Libraries for Machine LearningIntroducing Neural Networks and Deep LearningPractical Data ManagementWhat makes this book different? The majority of books available on the market take a brief look into machine learning, presenting some of the subjects but never going deep. This book is not one of those.
Even if you are totally new to programming in 2020 or you’re simply looking to widen your abilities as a programmer, this book is perfect for you!
Well, stress no more! Buy this book and also learn all...
and DOWNLOAD IT NOW!
Or maybe you like to automate simple stuff with your PC, but you do not know how to do it.
As a novice, you might think programming is complicated. Understanding artificial intelligence coding could take several months. Not to mention that the chance of giving up before perfecting it could be high. Therefore, you could think of employing a professional developer to shorten the time if you have time to develop.
That might look like a great solution, but it is surely very costly. You still have pay for the developer if he doesn’t do the proper job you want. You know the best solution for this?
The perfect solution is to follow a complete programming manual with hands-on projects as well as practical exercises. This book is structured as a course with six chapters.
Inside the book, you will be able to go through a first section in which basic and fundamental notions of deep learning are mention, to get to the next chapters made to help you learn advanced coding insights needed to build training data sets for the development of successful machine learning models.
In detail, you will
The Fundamentals of Machine LearningMachine-Learning SystemsAn Overview of Python for Machine LearningUnderstanding Python Libraries for Machine LearningIntroducing Neural Networks and Deep LearningPractical Data ManagementWhat makes this book different? The majority of books available on the market take a brief look into machine learning, presenting some of the subjects but never going deep. This book is not one of those.
Even if you are totally new to programming in 2020 or you’re simply looking to widen your abilities as a programmer, this book is perfect for you!
Well, stress no more! Buy this book and also learn all...
and DOWNLOAD IT NOW!
123 pages, Kindle Edition
Published June 1, 2020
8 people are currently reading
Ratings & Reviews
Friends & Following
Create a free account to discover what your friends think of this book!
Community Reviews
Displaying 1 - 5 of 5 reviews
June 13, 2020
A Good Foundation for our Brave, New World
This book is exactly what it claims to be: an introduction. You won't learn Python from it, and you won't learn how to make machines learn.
But you will understand the concepts behind how AI machines learn things. You will know the important terms that AI programmers use to describe what they are trying to do.
I wondered if knowing all those terms was really necessary for us curious folks who want to know vaguely how things work but don't plan to work in this field.
But I remembered how, at first, all the new Internet terminology seemed so foreign. Now, however, The Internet has become a ubiquitous part of everyday life. We use those terms daily without thinking much about it.
Artificial Intelligence will very soon become part of our everyday life, too, from cars that drive themselves to virtual valets whoi can help us organize our ever more complex lives.
Even now, artificial intelligence helps us decide what to watch next on Netflix or what sales are going on that might interest us.
It behooves us to read books like this which will give us a foundation for understanding the Brave New World into which we are embarking.
And, if repetition helps make new information stick, this book has that covered. Almost all concepts are repeated at least three times, each time in a more in depth way.
This book is not for the complete neophyte, however. The author assumes that you understand some intermediary math concepts. Without that, it's easy to get lost in the verbiage. Be patient, though, and take it slow. It's definitely a mental exercise to work your way through it.
But you will understand the concepts behind how AI machines learn things. You will know the important terms that AI programmers use to describe what they are trying to do.
I wondered if knowing all those terms was really necessary for us curious folks who want to know vaguely how things work but don't plan to work in this field.
But I remembered how, at first, all the new Internet terminology seemed so foreign. Now, however, The Internet has become a ubiquitous part of everyday life. We use those terms daily without thinking much about it.
Artificial Intelligence will very soon become part of our everyday life, too, from cars that drive themselves to virtual valets whoi can help us organize our ever more complex lives.
Even now, artificial intelligence helps us decide what to watch next on Netflix or what sales are going on that might interest us.
It behooves us to read books like this which will give us a foundation for understanding the Brave New World into which we are embarking.
And, if repetition helps make new information stick, this book has that covered. Almost all concepts are repeated at least three times, each time in a more in depth way.
This book is not for the complete neophyte, however. The author assumes that you understand some intermediary math concepts. Without that, it's easy to get lost in the verbiage. Be patient, though, and take it slow. It's definitely a mental exercise to work your way through it.
This book is exactly what it claims to be: an introduction. You won't learn Python from it, and you won't learn how to make machines learn.
But you will understand the concepts behind how AI machines learn things. You will know the important terms that AI programmers use to describe what they are trying to do.
I wondered if knowing all those terms was really necessary for us curious folks who want to know vaguely how things work but don't plan to work in this field.
But I remembered how, at first, all the new Internet terminology seemed so foreign. Now, however, The Internet has become a ubiquitous part of everyday life. We use those terms daily without thinking much about it.
Artificial Intelligence will very soon become part of our everyday life, too, from cars that drive themselves to virtual valets whoi can help us organize our ever more complex lives.
Even now, artificial intelligence helps us decide what to watch next on Netflix or what sales are going on that might interest us.
It behooves us to read books like this which will give us a foundation for understanding the Brave New World into which we are embarking.
And, if repetition helps make new information stick, this book has that covered. Almost all concepts are repeated at least three times, each time in a more in depth way.
This book is not for the complete neophyte, however. The author assumes that you understand some intermediary math concepts. Without that, it's easy to get lost in the verbiage. Be patient, though, and take it slow. It's definitely a mental exercise to work your way through it.
But you will understand the concepts behind how AI machines learn things. You will know the important terms that AI programmers use to describe what they are trying to do.
I wondered if knowing all those terms was really necessary for us curious folks who want to know vaguely how things work but don't plan to work in this field.
But I remembered how, at first, all the new Internet terminology seemed so foreign. Now, however, The Internet has become a ubiquitous part of everyday life. We use those terms daily without thinking much about it.
Artificial Intelligence will very soon become part of our everyday life, too, from cars that drive themselves to virtual valets whoi can help us organize our ever more complex lives.
Even now, artificial intelligence helps us decide what to watch next on Netflix or what sales are going on that might interest us.
It behooves us to read books like this which will give us a foundation for understanding the Brave New World into which we are embarking.
And, if repetition helps make new information stick, this book has that covered. Almost all concepts are repeated at least three times, each time in a more in depth way.
This book is not for the complete neophyte, however. The author assumes that you understand some intermediary math concepts. Without that, it's easy to get lost in the verbiage. Be patient, though, and take it slow. It's definitely a mental exercise to work your way through it.
June 8, 2020
Easy Syntax
This is by far an outstanding book on machine learning hence the five star rating. Why you ask? We see it everyday down to texting on our cell phones to out on the road to the stock market to banking. Python is a versatile language and super easy to use for anyone. If you have used C platform, Java platform, Julia platform, etc then you know Python is hands down awesome. I am not a programmer but as one who does it as a hobby I recommend you read this book. It is very informational on how machines learn and why Python is necessary for technological advancements. Everyday technology evolves like the human brain evolves. Python and the human brain are not so different. This is a must read for beginners because the author delivers the information in a specific way that one actually stops and thinks about the versatility of machine learning. You are right here in Amazon reading this review then you have to know Amazon learned something about your likes via Python.
This is by far an outstanding book on machine learning hence the five star rating. Why you ask? We see it everyday down to texting on our cell phones to out on the road to the stock market to banking. Python is a versatile language and super easy to use for anyone. If you have used C platform, Java platform, Julia platform, etc then you know Python is hands down awesome. I am not a programmer but as one who does it as a hobby I recommend you read this book. It is very informational on how machines learn and why Python is necessary for technological advancements. Everyday technology evolves like the human brain evolves. Python and the human brain are not so different. This is a must read for beginners because the author delivers the information in a specific way that one actually stops and thinks about the versatility of machine learning. You are right here in Amazon reading this review then you have to know Amazon learned something about your likes via Python.
June 9, 2020
Awesome book for beginners on programming
I wish I had studied a bit harder in math so I could understand the correct programming responses when setting up an algorithm but I found this book very interesting. I now know how a lot of gaming and email programs work and how things are filtered which I found fascinating!
I wish I had studied a bit harder in math so I could understand the correct programming responses when setting up an algorithm but I found this book very interesting. I now know how a lot of gaming and email programs work and how things are filtered which I found fascinating!
June 10, 2020
Good overview
If you're like me and know only that computers don't speak English but allow you to read email this book is a good overview of the ins and outs of AI. It would also serve as an introduction to an AI career.
If you're like me and know only that computers don't speak English but allow you to read email this book is a good overview of the ins and outs of AI. It would also serve as an introduction to an AI career.
June 14, 2020
Interesting.
This book was good. It was interesting to read about how with technology companies can keep up with your interests.
This book was good. It was interesting to read about how with technology companies can keep up with your interests.
Displaying 1 - 5 of 5 reviews