Python for Beginners: 2 Books in 1: Ride the Wave of Artificial Intelligence and Machine Learning with This Crash Course on Python Programmi, Python in Deep Learning
Автор: Chollet Francois Название: Deep Learning with Python ISBN: 1617294438 ISBN-13(EAN): 9781617294433 Издательство: Pearson Education Рейтинг: Цена: 7918.00 р. Наличие на складе: Поставка под заказ.
Описание:
Summary
Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher Francois Chollet, this book builds your understanding through intuitive explanations and practical examples.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
About the Technology
Machine learning has made remarkable progress in recent years. We went from near-unusable speech and image recognition, to near-human accuracy. We went from machines that couldn't beat a serious Go player, to defeating a world champion. Behind this progress is deep learning--a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications.
About the Book
Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher Francois Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.
What's Inside
Deep learning from first principles
Setting up your own deep-learning environment
Image-classification models
Deep learning for text and sequences
Neural style transfer, text generation, and image generation
About the Reader
Readers need intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required.
About the Author
Francois Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does deep-learning research, with a focus on computer vision and the application of machine learning to formal reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), the International Conference on Learning Representations (ICLR), and others.
Table of Contents
PART 1 - FUNDAMENTALS OF DEEP LEARNING
What is deep learning?
Before we begin: the mathematical building blocks of neural networks
Getting started with neural networks
Fundamentals of machine learning
PART 2 - DEEP LEARNING IN PRACTICE
Deep learning for computer vision
Deep learning for text and sequences
Advanced deep-learning best practices
Generative deep learning
Conclusions
appendix A - Installing Keras and its dependencies on Ubuntuappendix B - Running Jupyter notebooks on an EC2 GPU instance
Описание: This volume reports on excavations in advance of the development of a site in Norton-on-Derwent, North Yorkshire close to the line of the main Roman road running from the crossing point of the River Derwent near Malton Roman fort to York. This site provided much additional information on aspects of the poorly understood `small town` of Delgovicia.
Описание: Are you fascinated by Machine Learning but it seems too complicated?Do you have some coding skills but you want to go deeper in Python and Machine Learning?
If this is you, please keep reading: you are in the right place, looking at the right book.
Since you are reading this you are probably aware of how important Artificial Intelligence is in these days.
In your everyday life Artificial Intelligence is all around you. Every time you buy a product on Amazon, follow a new profile on Instagram, listen to a song on Spotify or reserve a room on Booking, they are learning something out of your behavior. And these are just the most visible aspects of how Machine Learning is having an impact on our lives.
Everyone knows (well, almost everyone) how important Machine Learning is for the growth and success of the biggest tech companies, and many people know about the Machine Learning impact in science, medicine and statistics.
Also, it is quite commonly known that Artificial Intelligence, Machine Learning, and the mastering of their most important language, Python, can offer a lot of possibilities in work and business.
And you yourself are probably thinking "I surely can see that opportunity, but how can I seize it?"
Well, if you kept reading so far you are on the right track to answer your question.
In Machine Learning with Python you will find:
Why python is the best language for Machine Learning
How to bring your ideas into a computer
The smartest way to approach Machine Learning
How to deal with variables and data
Tips and tricks for a smooth and painless journey into artificial intelligence
The most common myths about Machine Learning debunked
So, whether you decided to start now or to go deeper into Artificial Intelligence, Machine Learning and Python Programming, you will only have two unanswered questions right now: "what is the best way to do it? And when is the best time to start?"
An easy, clear and complete guide as Machine Learning with Python is the answer to your first question, and about the second one, well, that's an easy one: the best time is NOW
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Do you want to learn how to write your own codes and programming and get your computer set up to learn just like humans do? Do you want to learn how to write out codes in deep learning-without having to spend years going to school to learn to code and how all this works? Do you know a bit of Python coding and want to learn more about how this deep learning works?
This bundle is the tool that you need to not only learn how to do machine learning but also learn how to take this even further and write some of your own codes in deep learning. The field of deep learning is pretty new, and many programmers have not been able to delve into the depths of what we can see with this type of programming-but with the growing market for products and technology that can act and learn just like the human brain, this field is definitely taking off
This bundle will take some time to explore the different Python libraries that will help you to do some deep learning algorithms in no time. Investing your time in the Python language and learning the different libraries that are needed to turn this basic programming language into a deep learning machine can be one of the best decisions for you.
By learning some of the tips in this bundle, you will be able to save time and resources when it comes to your deep learning needs. Rather than spending time with other, more difficult programming languages, or having to go take complicated classes to learn how to do these algorithms, we will explore exactly how to do all of the tasks that you need with this type of machine learning.
You will learn:
1. What deep learning is, how it is different from machine learning, and why Python is such a beneficial language to use with the deep learning algorithms;
2. The basics of the three main Python languages that will help you get the work done-including TensorFlow, Keras, and PyTorch;
3. How to install the three Python libraries to help you get started;
4. A closer look at neural networks, what they are, why they are important, and some of the mathematics of making them work;
5. The basics you need to know about TensorFlow and some of the deep learning you can do with this library;
6. The basics of the Keras library and some of the deep learning you can do with this library;
7. A look at the PyTorch library, how it is different from the other two, and the basics of deep learning with this library;
How to develop modules and functions in Python
How to install and use magic command in Ipython
Functionalities of NumPy library for numerical programming
Functionalities of Pandas library for data analysis
Creating and customizing figures to visualize data with Matplotlib library
Even if you are just a beginner, with very little programming knowledge but lots of big dreams and even bigger ideas, this book is going to give you the tools that you need to start with deep learning
Описание: Are you interested in seeing what deep learning, machine learning, and data analysis are all about and how they are going to be able to help you to get more out of your business and make good decisions about the future of your company? Would you like to see how all of this is going to come together and make you more profitable than ever?
This guidebook is going to be the perfect companion and tool for your needs. You will find that we will talk about all of the topics that you need to know when it comes to working with data analysis and data science in no time. And it will not take long before we actually use some of these projects and processes on our own as well.
Many companies want to find ways to get ahead of their competition and provide the best options to their customers all at the same time. And they want to make sure that they are making some of the best decisions that you need in order to get ahead in your competition.
Some of the highlights of the book include:
What is deep learning
How to conduct a data analysis
The different Python libraries that you are able to use for deep learning.
Understanding some of the math behind neural networks.
The basics of working with the TensorFlow library that can help you with your deep learning project.
How to handle the Keras library for your needs.
The PyTorch library and how this library is going to be able to help us out with machine learning and deep learning.
Looking more at machine learning and how we are able to fit this into some of the data analysis that we are talking about.
How deep learning is going to be helpful when it is time to handle your own predictive analysis.
Deep learning, machine learning, and data analysis are important parts of many business today. These topics and processes are going to help us to really explore the industry, the customers, the competition and more that are going to come out when we want to help our business succeed and when we want to figure out what steps we need to take in order to get ahead of the competition.
Are you ready to want to master this?
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If You Are Looking For A Guide That Introduces You Step By Step Into The Articulated World Of Python Programming Then Keep Reading
It can be difficult to get started with coding if you have not the right support. You may have looked at some of the most popular coding languages, such as C++ or Java and were a little scared of what you have seen. You may have bought ebooks that have been filled to the edge with letters and symbols that you just didn't understand, and you were frustrated and just wanted to go away. Many people are afraid of programming and feel like it's just too hard. But with this Python programming language guide, filled with examples and exercises, you will find that even some of the more complex parts of the code are going to be easier to handle and you will find that it can be easier than ever to learn about coding and even to read it as a professional. This guide will give the basic principles you need to start with Python programming. We will start a little talk about what Python programming is, as well as some of the steps you need to take to download the program and gives you some more information to actually understand why this program is so GREAT. We will then step further to some keywords that will be useful to you when you start the program and even talk about the pros and cons of using Python for all your coding and app needs. The rest of the guide is dedicated to talking about some of the different things you can do with the Python Program as well as various examples of how each of them work. We are talking about adding comments in the code, working with strings and integers, and even working with variables so that they will display correctly in the program.
Here Are Some Of The Information You Will Find:
Why You Should Select Python As Your Language?
Which Version Of Python Should You Have?
Installing The Python Language In Three Of The Most Common Operating Systems
All You Need To Know About Python Variables And Python Numbers
How To Create, Replicate and Store Python Strings (and other 13 activities about strings)
Acquire The Necessary Knowledge To Get Hired In Many Companies
The Six Most Important Things To Know About Operators And Expressions
And More And More About Python Tuples And Sets, Conditional Execution And Iteration
Even if you've never written or seen a programming code in your whole life; Even if you've never used a coding programm; Even if you are bad or have no experience at coding, do not need to worry because this guide was written to guide complete beginners like you.
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Описание: Are you fascinated by Data Science but it seems too complicated? Do you want to learn everything about Artificial Intelligence but it looks like it is an exclusive club?
If this is you, please keep reading: you are in the right place, looking at the right book.
SInce you are reading these lines you have probably already noticed this: Artificial Intelligence is all around you. Your smartphone that suggests you the next word you want to type, your Netflix account that recommends you the series you may like or Spotify's personalised playlists. This is how machines are learning from you in everyday life. And these examples are only the surface of this technological revolution.
Everyone knows (well, almost everyone) how important Data Science is for the growth and success of the biggest tech companies, and many people know about the Machine Learning impact in science, medicine and statistics.
Also, it is quite commonly known that Artificial Intelligence, Machine Learning Deep Learning, and the mastering of their most important language, Python, can offer a lot of possibilities in work and business.
And you yourself are probably thinking "I surely can see that opportunity, but how can I seize it?"
Well, if you kept reading so far you are on the right track to answer your question.
Either if you want to start your own AI entreprise, to empower your business or to work in the greatest and most innovative companies, Artificial Intelligence is the future, and Python and Neural Networks programming is The Skill you want to have.
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In Data Science for Beginners you will discover:
The most effective starting points when training deep neural nets
The smartest way to approach Machine Learning
What libraries are and which one is the best for you
Tips and tricks for a smooth and painless journey into artificial intelligence
Why decision tree is the way
The TensorFlow parts that are going to make your coding life easy
Why python is the best language for Machine Learning
How to bring your ideas into a computer
How to talk with deep neural networks
How to deal with variables and data
The most common myths about Machine Learning debunked
Even If you don't know anything about programming, understanding Data Science is the ideal place to start.
Still, if you already know something about programming but not about how to apply it to Artificial Intelligence, Data Science is what you want to understand.
Buy now Data Science for Beginners to start your path of Artificial Intelligence.
If You Are Looking For A Guide That Introduces You Step By Step Into The Articulated World Of Python Programming Then Keep Reading
It can be difficult to get started with coding if you have not the right support. You may have looked at some of the most popular coding languages, such as C++ or Java and were a little scared of what you have seen. You may have bought ebooks that have been filled to the edge with letters and symbols that you just didn't understand, and you were frustrated and just wanted to go away. Many people are afraid of programming and feel like it's just too hard. But with this Python programming language guide, filled with examples and exercises, you will find that even some of the more complex parts of the code are going to be easier to handle and you will find that it can be easier than ever to learn about coding and even to read it as a professional. This guide will give the basic principles you need to start with Python programming. We will start a little talk about what Python programming is, as well as some of the steps you need to take to download the program and gives you some more information to actually understand why this program is so GREAT. We will then step further to some keywords that will be useful to you when you start the program and even talk about the pros and cons of using Python for all your coding and app needs. The rest of the guide is dedicated to talking about some of the different things you can do with the Python Program as well as various examples of how each of them work. We are talking about adding comments in the code, working with strings and integers, and even working with variables so that they will display correctly in the program.
Here Are Some Of The Information You Will Find:
Why You Should Select Python As Your Language?
Which Version Of Python Should You Have?
Installing The Python Language In Three Of The Most Common Operating Systems
All You Need To Know About Python Variables And Python Numbers
How To Create, Replicate and Store Python Strings (and other 13 activities about strings)
Acquire The Necessary Knowledge To Get Hired In Many Companies
The Six Most Important Things To Know About Operators And Expressions
And More And More About Python Tuples And Sets, Conditional Execution And Iteration
Even if you've never written or seen a programming code in your whole life; Even if you've never used a coding programm; Even if you are bad or have no experience at coding, do not need to worry because this guide was written to guide complete beginners like you.
Don't Waste Any More Time To Achieve Your Goals Scrolling Up And Ordering Now
Mastering Machine Learning with Python: A Step-by-Step Guide (That ANYONE Can Follow)
Learn Why You Might Be Failing at Python Programming and How You Can Fix It.
Learn the essential tools every beginner should know about Python. Get the methods that will help you complete your projects successfully like the pros. This is the book every aspiring programmer needs to have. Learn how to try fresh ideas and learn problem solving, improve your programming skills, but above all, boost your confidence. Imagination and creativity will open the door to new projects you never thought possible.
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Here's what you will love about this book:
What is Python Machine Learning, anyway? Here's how to get started.
Find out the "Whys" and "Hows" of Python
The One PROVEN Way for Effective Implementation of Machine Learning Algorithms
Find Out the EASIEST Way for Mastering Machine Learning with Python.
Learn Importance of Learning Data Analysis in Python.
The truth about Deep Learning vs Machine Learning
The Secret to Machine Learning with Scikit-Learn
Discover Deep Learning with TensorFlow.
The Essential Key Tips & Tricks for Deep Learning with PyTorch and Keras.
Find out The Role of Machine Learning in the Internet of Things (IoT)
Looking to the Future with Machine Learning. The Business Angle.
A beginners' friendly book with easy to follow tips.
And much more, this is truly a must-have guide
Wide-ranging support libraries and user-friendly data structures are not the only advantages of Python Programming for Machine Learning and Deep Learning, enjoy the versatility, efficiency and ease of use of this high-level programming language. With the help of this guide, you can develop projects with ease as soon as today. Clear information and instructions mean well analyzed, assessed and developed projects that are easier to apply and bring much better results, and it's even good to keep up a positive attitude. But above all, learning the basics and all the fundamentals the right way is an important part of leading an effective and satisfying programming experience. Start your journey today.
No more frustration, If you keep failing every time to finish your projects, then you need to get the new book by Zach Codings: Python Machine Learning A Beginner's Guide to Python Programming for Machine Learning and Deep Learning, Data Analysis, Algorithms and Data Science With Scikit Learn, TensorFlow, PyTorch and Keras. Get your copy today.
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If You Are Looking for a Guide That Introduces You Step By Step into The Articulated World of Python Programming Then Keep Reading...
It can be difficult to get started with coding if you have not the right support. You may have looked at some of the most popular coding languages, such as C++ or Java and were a little scared of what you have seen. You may have bought ebooks that have been filled to the edge with letters and symbols that you just didn't understand, and you were frustrated and just wanted to go away.
Many people are afraid of programming and feel like it's just too hard. But with this Python programming language guide, filled with examples and exercises, you will find that even some of the more complex parts of the code are going to be easier to handle and you will find that it can be easier than ever to learn about coding and even to read it as a professional. This guide will give the basic principles you need to start with Python programming. We will start a little talk about what Python programming is, as well as some of the steps you need to take to download the program and gives you some more information to actually understand why this program is so great
We will then step further to some keywords that will be useful to you when you start the program and even talk about the pros and cons of using Python for all your coding and app needs. The rest of the guide is dedicated to talking about some of the different things you can do with the Python Program as well as various examples of how each of them work. We are talking about adding comments in the code, working with strings and integers, and even working with variables so that they will display correctly in the program.
Here Are Some of The Information You Will Find:
Why You Should Select Python as Your Language?
Which Version of Python Should You Have?
Installing The Python Language in Three of The Most Common Operating Systems
All You Need To Know About Python Variables and Python Numbers
How To Create, Replicate and Store Python Strings (and other 13 activities about strings)
Acquire The Necessary Knowledge To Get Hired in Many Companies
The Six Most Important Things To Know About Operators and Expressions
And More and More About Python Tuples and Sets, Conditional Execution and Iteration
Even if you've never written or seen a programming code in your whole life; even if you've never used a coding programm; even if you are bad or have no experience at coding, do not need to worry because this guide was written to guide complete beginners like you.
Don't Waste Any More Time To Achieve Your Goals Scrolling Up and Ordering Now
Описание: Are you a machine learning aspirant? Do you want to learn more about machine learning associated with Python? If yes, this book a great addition to your machine learning book collection.
Being one of the most preferred computer languages, from scripting to machine learning, do not be surprised if Python is used everywhere. This programming language is gaining popularity among machine learning professionals.
Machine learning, a part of the data science category, takes the Python solutions for making informed decisions by using algorithms. As you probably noticed, many companies invest in a resourced pool related to machine learning. Plus, machine learning is combined with Python to leverage the expected results.
Not only does Python gained popularity in different sectors of software development, but it also obtained the leading position in today's machine learning domain.
What makes Python well-suited for machine learning projects? This programming language has a perfect mix of consistent syntax, shorter development time, and simplicity.
In case you are just about to explore machine learning through Python, this "Python Machine Learning" book is what you need.
This book covers:
What is machine learning
Deep learning and artificial learning
Difference between unsupervised learning and supervised learning
The advantages of using Python in machine learning
How to progress with Python machine learning
The main libraries you can use to start machine learning
And so much more
Are you excited to learn everything about Python Machine Learning? Then, grab a copy of this book now. Happy reading
Python Machine learning is an important topic in the field of artificial intelligence, has been in the limelight for quite some time. This area may be an attractive opportunity and getting started is not as difficult as it first seems. Even if you have no experience in math or programming, this is not a problem.
The most important element to your success is just your own interest and your motivation to learn all the things in this book.
If you're a freshman, do not know where to start and why you need Python machine learning and why it's getting more popular lately, you've come to the right place Brian S. Downey has put together all the necessary information and resources to help you gain new skills and complete your initial projects.
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