Deep Learning Crash Course For Beginners With Python
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Deep Learning Crash Course For Beginners With Python
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Author : Ai Publishing
language : en
Publisher:
Release Date : 2020-05-25
Deep Learning Crash Course For Beginners With Python written by Ai Publishing and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-25 with categories.
Artificial intelligence is the rage today! While you may find it difficult to understand the most recent advancements in AI, it simply boils down to two most celebrated developments: Machine Learning and Deep Learning. In 2020, Deep Learning is leagues ahead because of its supremacy when it comes to accuracy, especially when trained with enormous amounts of data. Deep Learning, essentially, is a subset of Machine Learning, but it's capable of achieving tremendous power and flexibility. And the era of big data technology presents vast opportunities for incredible innovations in deep learning. How Is This Book Different? This book gives equal importance to the theoretical as well as practical aspects of deep learning. You will understand how high-performing deep learning algorithms work. In every chapter, the theoretical explanation of the different types of deep learning techniques is followed by practical examples. You will learn how to implement different deep learning techniques using the TensorFlow Keras library for Python. Each chapter contains exercises that you can use to assess your understanding of the concepts explained in that chapter. Also, in the Resources, the Python notebook for each chapter is provided. The key advantage of buying this book is you get instant access to all the extra content presented with this book--Python codes, references, exercises, and PDFs--on the publisher's website. You don't need to spend an extra cent. The datasets used in this book are either downloaded at runtime or are available in the Resources/Datasets folder. Another advantage is a detailed explanation of the installation steps for the software that you will need to implement the various deep learning algorithms in this book is provided. That is, you get to experiment with the practical aspects of Deep Learning right from page 1. Even if you are new to Python, you will find the crash course on Python programming language in the first chapter immensely useful. Since all the codes and datasets are included with this book, you only need access to a computer with the internet to get started. The topics covered include: Python Crash Course Deep Learning Prerequisites: Linear and Logistic Regression Neural Networks from Scratch in Python Introduction to TensorFlow and Keras Convolutional Neural Networks Sequence Classification with Recurrent Neural Networks Deep Learning for Natural Language Processing Unsupervised Learning with Autoencoders Answers to All Exercises Click the BUY button and download the book now to start your Deep Learning journey.
Deep Learning With Python
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Author : Daniel Géron
language : en
Publisher: Daniel Geron
Release Date : 2021-02-19
Deep Learning With Python written by Daniel Géron and has been published by Daniel Geron this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-19 with categories.
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 guidebook 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 book 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 book, 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; 8. And so much more! 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!
Deep Learning With Python
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Author : Daniel Géron
language : en
Publisher: Daniel Geron
Release Date : 2021-02-19
Deep Learning With Python written by Daniel Géron and has been published by Daniel Geron this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-19 with categories.
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 guidebook 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 book 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 book, 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; 8. And so much more! 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!
Python Machine Learning
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Author : Leonard Smith
language : en
Publisher:
Release Date : 2019-07-31
Python Machine Learning written by Leonard Smith and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-31 with categories.
If you want a book that guides you through the programming world especially Python, then I would recommend this bookas your number one choice! There are number of interesting topics for experienced and novice developers that can be explord. These include algorithms and data structures, strings of text and numbers, types of operators, classes and objects, web programming and the main errors in the development of a program. It also talks about data science and its impact on the future so far. The purpose of this book on Python is to provide the fundamentals of this language to scientists accustomed to other languages such as Fortran, C, Matlab and so on, and also to computer scientists working in the scentific community. Basic programming skills are needed for the reader to make the most of this book. The author details the basics of language and the presents, with examples, tools and methods of implementation. Thus, anyone working in the field will enjoy this book without first having any knowledge of Python. It is nevertheless important to have good programming skills, otherwise you risk quickly being overtaken by the pace of the book. The presentation of the Python language and its standard library is quite dense but the explanations are clear and the remarks interesting, all with mant simple examples, ideal for someone who needs to dive quickly into Python. All you need to know from start to finish is contained in this book and will leave you satisfied with a better understanding of things GET IT NOW and you'll be glad you did!
Data Science For Beginners
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Author : Russel R Russo
language : en
Publisher:
Release Date : 2020-10-30
Data Science For Beginners written by Russel R Russo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-30 with categories.
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. The good news is that there is no exclusive club, you can easily (if you commit, of course) learn how to find your way around Artificial Intelligence, Data Science, Deep Learning and Machine Learning, and to do that Data Science for Beginners is the best way. 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.
Python Machine Learning
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Author : Django Smith
language : en
Publisher: Independently Published
Release Date : 2019-06-10
Python Machine Learning written by Django Smith and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-10 with categories.
Start Programming Python What if you could make your own program, one that is able to learn by trial and error, or based on the information that you show it? What if you could get a program that could adapt and change based on the input of the user? And what if you were able to make all of this happen with the Python coding language, helping even beginner's work with more complicated codes? This is all possible with Python machine learning. This guidebook is going to take some time to look at Python machine learning and all of the neat things that you are able to do with it. Machine learning is a growing field, one that a lot of programmers want to spend their time on. But even though this sounds like a complicated part of technology to work with, you will find that with the help of the Python coding language, anyone can start writing their own codes in machine learning. This guidebook is going to take a look at all of the different topics that you need to know in order to get started with Python machine learning. Some of the topics that we will explore inside include: The basics of machine learning The difference between supervised and unsupervised machine learning. Setting up your new environment in the Python language. Data preprocessing with the help of machine learning. How to use Python coding to help with linear regression. Decision trees and random forests. How to work with support vector regression problems. Can machine learning really help with Naïve Bayes problems? Accelerated data analysis using the Python code. And so much more! If you have been interested in learning more about machine learning, and you want to be able to learn a few of the codes that can make it happen for you, make sure to check out this guidebook to help you get started! If all of this sounds like your ideal book, then hop on over and hit now that buy button! Well, stress no more! Buy this book and also learn all... and DOWNLOAD IT NOW! ★★Buy the Paperback Version of this Book and get the Kindle Book version for FREE ★★
Data Science From Scratch With Python
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Author : Steve Geddis
language : en
Publisher:
Release Date : 2020-10-08
Data Science From Scratch With Python written by Steve Geddis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-08 with categories.
Data are no longer just information but a resource that is growing exponentially. There are many powerful ways to store and manipulate data and there are many helpful data science tools that you can use to begin conducting your own analyses. If you are willing to understand more, this book is a crash course on data science. This book will guide you exploring, among others: The Python programming environment, including fundamental Python programming techniques; Basics of data analysis in Python; What is a Data Scientist? Functionality and features used for data science; Data manipulation using the Python Pandas; models such as neural networks, plotting and clustering; fundamentals of big data, deep learning, artificial intelligence and machine learning; And much much more. Begin your journey and make sure you get the best crash course on data science available!
Python Programming
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Author : Sivakumar Munusami
language : en
Publisher:
Release Date : 2019-11-08
Python Programming written by Sivakumar Munusami and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-08 with categories.
Buy the Paperback Version of this Book and get the Kindle Book version for FREE CAN PYTHON PROGRAMMING HELP TO GET HIGHER PAID JOBS? YES, 100% SURE. A PYTHON PROGRAMMER EARN EVEN MORE THAN $ 150,000 PER YEAR! Are you tired of trying to learn Python Programming? Can't you find a good way to learn Python Projects? Would you like to learn Python quickly? If so, continue reading this... For everyone who wants to learn Python, this book is very helpful. This book is designed to fulfill your purpose. Python's latest information is included in this book. All of the information in this book is trustworthy. If you read this book, you will definitely know about the Learn Programming Python. By the time you read the last page of this book, you will have become a Talented Python Programmer. Overall, this book will be a treasure for you. This book is a complete and well detailed guide for beginners that will help you finding your own way in the exciting world of Python and designed to make your job easier and faster and written to make content easier to understand and memorize. Moreover, this book also explains Machine Learning, Data Science Analysis, Artificial Intelligence and Deep Learning. Now, with this new and informative guide "Python Programming: The Crash Course for Python Projects - Learn the Secrets of Machine Learning, Data Science Analysis and Artificial Intelligence. Introduction to Deep Learning for Beginners" you can learn all you need to get you started with this impressive resource. Through this book, you will learn: What is Python? Why is Python so popular? Why Python was created? Why the name Python? Why learn Python? Which companies are using python? History of Python Features of Python Why Python is different from other languages? Why the future of Python language bright? How to download Python? How Install Python? What is Python IDE? What is Code Editor? How Setup Python Environment? Python Application (Framework) Python Program Fundamental Python Programming (12 Programs) with Code What is Artificial Intelligence? What is Big Data? What is Data Science Analysis? What is Machine Learning? What is Deep Learning? And much more... What are you waiting for? Click 'Buy Now' Button at the top of this page to get started! Buy the Paperback Version of this Book and get the Kindle Book version for FREE
Python Programming
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Author : Marc Matthes
language : en
Publisher:
Release Date : 2019-09-08
Python Programming written by Marc Matthes and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-08 with categories.
Have you been interested in expanding out your programming skills to include artificial intelligence and machine learning, but worry that it is going to be too hard? Have you worked in the Python language in the past and found that you enjoyed working with this coding language, but didn't think it could actually do something more advanced? Would you be interested in learning how to combine these two ideas together in order to make some powerful and strong codes in no time? This guidebook is going to spend some time talking about Python programming, and how you can use it in order to work with such topics as artificial intelligence, machine learning, and deep learning all in one. We will explore how to download some of the various libraries that you need, how to set up some of the different learning algorithms that you need, and so much more. Some of the different topics that we will discuss in this guidebook to help you to get started with coding in Python machine learning will include: * What is deep learning and artificial intelligence * What is machine learning and how it is taking us into the future. * All about the Python coding language, and some of the best and most common libraries that can help us with machine learning. * All the machine learning algorithms you need to know including Decision trees, linear classifier, Neural networks and more. When you are ready to propel your coding into the future and learn more about machine learning, artificial intelligence, and the Python coding language, take a look at this guidebook and learn how to get started! Click on Buy Now to get started!
Python For Beginners
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Author : Aaron Khan
language : en
Publisher:
Release Date : 2019-11-23
Python For Beginners written by Aaron Khan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-23 with categories.
Python is a powerful modern computer programming language and it is easy to learn. The syntax is simple and it allows the programmers to state their ideas in fewer lines of codes. It is an interpreted language and no compilation is necessary. It is often used as a scripting language and it is available on Windows, Mac OS and UNIX operating systems. The variable and argument declarations are not necessary as it is determined implicitly. One major advantage of using Python is that it is platform-independent and you can run it on any operating system without any issues. Many people are scared to get into any type of coding because they think that it will be too hard or that they will never be able to figure it all out. But when they take a look at Python, they see how easy coding can be. That is what this guidebook took some time to look at this, and looked at some of the different codes that you want to write with this kind of coding language. We also took it a bit of the more advanced types of coding that you can do with this language as well, ensuring that you are going to be able to get the results that you would like. There are a lot of things that you are able to do with the Python language and how you can use it with machine learning. This guidebook is going to take some time to look at all of these aspects so you can do some of the codings in the process. When you are ready to begin your journey with Python, make sure to check out this guidebook to help you get started! --->This guide will focus on the following: *Data Types and Variables *Data Structures *The Files *Types of Machine Learning *Machine Learning Algorithms *Neural Networks *If, Then Statements.... AND MORE! Scroll Up and Click the Buy Now Button to start your Journey with Python Programming!