Python for Beginners: Ride the Wave of Artificial Intelligence and Machine Learning with this Crash Course on Python Programming, Deepening, In Deep Learning Python
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
Buy Machine Learning with Python now and start mastering the secrets of Artificial Intelligence.
Автор: Vasilev, Ivan Slater, Daniel Spacagna, Gianmario Roelants, Peter Zocca, Valentino Название: Python deep learning ISBN: 1789348463 ISBN-13(EAN): 9781789348460 Издательство: Неизвестно Рейтинг: Цена: 73550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book will help you learn deep neural networks and their applications in computer vision, generative models, and natural language processing. It will also introduce you to the area of reinforcement learning, where you`ll learn the state-of-the-art algorithms to teach the machines how to play games like Go and Atari.
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
Автор: Rothman Denis Название: Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBER ISBN: 1800565798 ISBN-13(EAN): 9781800565791 Издательство: Неизвестно Рейтинг: Цена: 122600.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
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 Na ve 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 you want to learn more about Machine Learning and Data Science or how to master them with Python quickly and easily, then keep reading.
Data Science and Machine Learning are one of the biggest buzzwords in the business world nowadays. Many businesses know the importance of collecting information, but as they can collect so much data in a short period, the real question is: "what is the next step?"
Data Science includes all the different steps that you take with the data: collecting and cleaning them, analyzing them, applying Machine Learning algorithms and models, and then presenting your findings from the analysis with some good Data Visualizations.
Machines and automation represent a huge part of our daily life. They are becoming part of our experience, and existence. Artificial Intelligence is currently one of the most thriving fields any programmer would wish to delve into, and for a good reason: this is the future
Simply put, Machine Learning is about teaching machines to think and make decisions as we would. The difference between the way machines learn and the way we do is that while for the most part we learn from experiences, machines learn from data.
In book one, PYTHON MACHINE LEARNING, you will learn:
What is Machine Learning and how it is applied in real-world situations
Understanding the differences between Machine Learning, Deep Learning, and Artificial Intelligence
Machine learning training models, Regression techniques and Linear Regression in Python
How to use Lists and Modules in Python
The 12 essential libraries for Machine Learning in Python
Artificial Neural Networks
And Much More
In book two, PYTHON DATA SCIENCE, you will learn:
What Data Science is all about and why so many companies are using it to give them a competitive edge.
Why Python and how to use it to implement Data Science
The main Data Structures & Object-Oriented Programming, Functions and Modules in Python with practical codes and exercises
The 7 most important algorithms and models in Data Science
Data Aggregation, Group Operations, Databases and Data in the Cloud
9 important Data Mining techniques in Data Science
And So Much More
Where most books only focus on how collecting and cleaning the data, this book goes further, providing guidance on how to perform a proper analysis in order to extract precious information that may be vital for a business.
Don't miss the opportunity to master the key points of Machine Learning technology and understand how researchers are breaking the boundaries of Data Science to mimic human intelligence in machines.
Even if some Machine Learning concepts and algorithms can appear complex to most computer programming beginners, this book takes the time to explain them in a simple and concise way. Understanding Machine Learning and Data Science is easier than it looks. You just need the right guidance. And this bundle provides all the knowledge you need in a simple and practical way. Regardless of your previous experience, you will learn the techniques to manipulate and process datasets, the principles of Python programming, and its most important real-world applications.
Would You Like To Know More?Scroll Up and Click the BUY NOW Button to Get Your Copy
If you want to learn more about Machine Learning and Data Science or how to master them with Python quickly and easily, then keep reading.
Data Science and Machine Learning are one of the biggest buzzwords in the business world nowadays. Many businesses know the importance of collecting information, but as they can collect so much data in a short period, the real question is: "what is the next step?"
Data Science includes all the different steps that you take with the data: collecting and cleaning them, analyzing them, applying Machine Learning algorithms and models, and then presenting your findings from the analysis with some good Data Visualizations.
Machines and automation represent a huge part of our daily life. They are becoming part of our experience, and existence. Artificial Intelligence is currently one of the most thriving fields any programmer would wish to delve into, and for a good reason: this is the future
Simply put, Machine Learning is about teaching machines to think and make decisions as we would. The difference between the way machines learn and the way we do is that while for the most part we learn from experiences, machines learn from data.
In book one, PYTHON MACHINE LEARNING, you will learn:
What is Machine Learning and how it is applied in real-world situations
Understanding the differences between Machine Learning, Deep Learning, and Artificial Intelligence
Machine learning training models, Regression techniques and Linear Regression in Python
How to use Lists and Modules in Python
The 12 essential libraries for Machine Learning in Python
Artificial Neural Networks
And Much More
In book two, PYTHON DATA SCIENCE, you will learn:
What Data Science is all about and why so many companies are using it to give them a competitive edge.
Why Python and how to use it to implement Data Science
The main Data Structures & Object-Oriented Programming, Functions and Modules in Python with practical codes and exercises
The 7 most important algorithms and models in Data Science
Data Aggregation, Group Operations, Databases and Data in the Cloud
9 important Data Mining techniques in Data Science
And So Much More
Where most books only focus on how collecting and cleaning the data, this book goes further, providing guidance on how to perform a proper analysis in order to extract precious information that may be vital for a business.
Don't miss the opportunity to master the key points of Machine Learning technology and understand how researchers are breaking the boundaries of Data Science to mimic human intelligence in machines.
Even if some Machine Learning concepts and algorithms can appear complex to most computer programming beginners, this book takes the time to explain them in a simple and concise way. Understanding Machine Learning and Data Science is easier than it looks. You just need the right guidance. And this bundle provides all the knowledge you need in a simple and practical way. Regardless of your previous experience, you will learn the techniques to manipulate and process datasets, the principles of Python programming, and its most important real-world applications.
Would You Like To Know More?Scroll Up and Click the BUY NOW Button to Get Your Copy
Today, we live in the era of Artificial Intelligence. Self-driving cars, customized product recommendations, real-time pricing, speech and facial recognition are just a few examples proving this truth. Also, think about medical diagnostics or automation of mundane and repetitive labor tasks; all these highlight the fact that we live in interesting times. From research topics to projects and applications in different stages of production, there is a lot going on in the world of Machine Learning.
Machines and automation represent a huge part of our daily life. They are becoming part of our experience and existence. This is Machine Learning. Artificial Intelligence is currently one of the most thriving fields any programmer would wish to delve into, and for a good reason: this is the future
Simply put, Machine Learning is about teaching machines to think and make decisions as we would. The difference between the way machines learn and the way we do is that while for the most part we learn from experiences, machines learn from data.
Starting from scratch, Python Machine Learning explains how this happens, how machines build their experience and compounding knowledge. Data forms the core of Machine Learning because within data lie truths whose depths exceed our imagination. The computations machines can perform on data are incredible, beyond anything a human brain could do. Once we introduce data to a machine learning model, we must create an environment where we update the data stream frequently. This builds the machine's learning ability. The more data Machine Learning models are exposed to, the easier it is for these models to expand their potential.
Some of the topics that we will discuss inside include:
What is Machine Learning and how it is applied in real-world situations
Understanding the differences between Machine Learning, Deep Learning, and Artificial Intelligence
Supervised learning, unsupervised learning, and semi-supervised learning
The place of Regression techniques in Machine Learning, including Linear Regression in Python
Machine learning training models
How to use Lists and Modules in Python
The 12 essential libraries for Machine Learning in Python
What is the Tensorflow library
Artificial Neural Networks
And Much More
While most books only focus on widespread details without going deeper into the different models and techniques, Python Machine Learning explains how to master the concepts of Machine Learning technology and helps you to understand how researchers are breaking the boundaries of Data Science to mimic human intelligence in machines using various Machine Learning algorithms.
Even if some concepts of Machine Learning algorithms can appear complex to most computer programming beginners, this book takes the time to explain them in a simple and concise way.
Would You Like To Know More?
Scroll up and click the BUY NOWbutton to get your copy now
Python is presumably the easiest-to-learn and nicest-to-use programming language in widespread use. Python code is clear to read and write, and it is short without being cryptic. It is a very powerful language, which means that we can generally write far fewer lines of Python code than would be needed for an equivalent application written in, say, C++ or Java.
Python is typically typed in an implicit and dynamic format; hence, there is no requirement to declare variables. These types are enforced, and the variables are sensitive to cases. There is no definite array of characters used to terminate statements in Python. Any statement which expects a level of indentation is concluded using a colon sign. Multiple variables can also be used on a single line.
This book covers the following topics:
The 7 main Features of Python ✓Why you should use Python ✓What is the best Python web app framework and why ✓Data Types in Python ✓Conditional Statements ✓Why is Python so popular in Machine Learning ✓
...And much more
In Python Programming, the English language is mainly used in coding many keywords. The mastery of these keywords means knowledge of the fundamental aspects of python programming.
However, before delving into these primary keywords, you have to understand the basic concepts associated with Python. These concepts are necessary to understand every other aspect of the scripting language.
By reading this book, you're off to a great start. It is designed to ease your way into Python programming world.
So, Ready to Become a Master of Python? Click "Buy Now" and Get the Book
Автор: Park Andrew Название: Python Machine Learning: A Complete Guide for Beginners on Machine Learning and Deep Learning ISBN: 1914167538 ISBN-13(EAN): 9781914167539 Издательство: Неизвестно Рейтинг: Цена: 22030.00 T Наличие на складе: Нет в наличии. Описание: If you want to learn how to design and master different Machine Learning algorithms quickly and easily, then keep reading.
Today, we live in the era of Artificial Intelligence. Self-driving cars, customized product recommendations, real-time pricing, speech and facial recognition are just a few examples proving this truth. Also, think about medical diagnostics or automation of mundane and repetitive labor tasks; all these highlight the fact that we live in interesting times. From research topics to projects and applications in different stages of production, there is a lot going on in the world of Machine Learning.
Machines and automation represent a huge part of our daily life. They are becoming part of our experience and existence. This is Machine Learning. Artificial Intelligence is currently one of the most thriving fields any programmer would wish to delve into, and for a good reason: this is the future
Simply put, Machine Learning is about teaching machines to think and make decisions as we would. The difference between the way machines learn and the way we do is that while for the most part we learn from experiences, machines learn from data.
Starting from scratch, Python Machine Learning explains how this happens, how machines build their experience and compounding knowledge. Data forms the core of Machine Learning because within data lie truths whose depths exceed our imagination. The computations machines can perform on data are incredible, beyond anything a human brain could do. Once we introduce data to a machine learning model, we must create an environment where we update the data stream frequently. This builds the machine's learning ability. The more data Machine Learning models are exposed to, the easier it is for these models to expand their potential.
Some of the topics that we will discuss inside include:
What is Machine Learning and how it is applied in real-world situations
Understanding the differences between Machine Learning, Deep Learning, and Artificial Intelligence
Supervised learning, unsupervised learning, and semi-supervised learning
The place of Regression techniques in Machine Learning, including Linear Regression in Python
Machine learning training models
How to use Lists and Modules in Python
The 12 essential libraries for Machine Learning in Python
What is the Tensorflow library
Artificial Neural Networks
And Much More
While most books only focus on widespread details without going deeper into the different models and techniques, Python Machine Learning explains how to master the concepts of Machine Learning technology and helps you to understand how researchers are breaking the boundaries of Data Science to mimic human intelligence in machines using various Machine Learning algorithms.
Even if some concepts of Machine Learning algorithms can appear complex to most computer programming beginners, this book takes the time to explain them in a simple and concise way.
Would You Like To Know More?
Scroll up and click the BUY NOWbutton to get your copy now
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
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
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