Python for Beginners: Ride the Wave of Artificial Intelligence and Machine Learning with this Crash Course on Python Programming, Deepening, In Deep Learning Python
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.
Today 91% of Python programmers are not quite prepared. This is what the IT companies say, according to a recent survey. Do you know why? The reason is that they have no notions of artificial intelligence, so future programmers will no longer find work without having knowledge of this particular field that is constantly evolving. Artificial intelligence has made great strides over the years, and by 2024 it is estimated that 77% of programmers will have to be experts in this field to implement it in the various programming languages. So if you are such a programmer or aspirant and ignore the importance that Python data analysis and artificial intelligence have in our future, then you will be cut off from the business world. The solution? You need to learn these things and, above all, do it in a clear, simple, and practical way. The goal of Python for Data Science is to give you an advanced level training on Python, artificial intelligence, and deep machine learning as quickly as possible.What are some points you will learn in this book?- Artificial Intelligence: How Does it Work? How is it Used?- The Key Elements of Machine Learning- Machine Learning vs Deep Learning- Data Science vs Business Intelligence- The Data Science Lifecycle- The Value of Big Data Explained to a Child- 4 Tips for Data Cleaning and Organizing Your Data- Python Data Analysis 360 - 6 Different Machine Learning Algorithms- How to Handle Data VisualizationsPython for Data Science is perfect for those who already look to the future and want to ensure a job for the next 20 years by beating the competition, even if you know nothing about computer codes and you have never turned on a computer in your life. Would You Like to Know More? Buy now to find out about Python for Data Science.
Do you have a little smartypants running around your home? Would you like to ensure the brightest possible future for your child? If so, then this book is a perfect choice for both of you.
This bundle is an excellent choice for all children who are interested in the world of computers, programming, and coding. It is specially made for kids aged from 8 to 12 that have no prior knowledge of coding.
Here is what this bundle can teach your child:
Game-based learning - there's no better way for kids to learn than through playing and fun activities that will capture your child's attention.
40+ fun coding activities and games - this bundle is packed with more than 40 fun activities that will introduce coding to your child and help them grasp the basic skills from a very young age.
Easy-to-follow guidance - Straightforward directions and tips keep young coders engaged every step of the way, making sure they don't make mistakes or get discouraged.
Creating games from scratch - all kids love video games. These guides will teach your little genius how to develop simple games (such as tic-tac-toe) from scratch.
Benefits of coding - The books involve a section devoted to the benefits of coding that will teach your child how valuable this set of skills is and maintain their interest in learning.
So what are you waiting for? Children are never too young to start learning skills that will help them become successful in life. Teach your child the basic skills related to the most promising industry today
Scroll up, click on "Buy Now with 1-Click", and Get Your Copy Now
The median annual wage for computer programmers was $86,550 in 2019
Hey you, father or mother that are reading these lines, let me introduce myself. I'm Raymond Deep, expert programmer since 1999 and father of two wonderful kids.
In my career I have worked with a lot of programming languages and, before writing this book, for months I had the problem to introduce my children in the world of programming.
Children want to have fun and I was looking for, without ever being satisfied, a product that would explain step by step, without the intervention of a parent and in a funny way, how to start writing the first line of code.
You know, I was looking for a book based on Python because, of all the programming languages I've used, I consider it the best one for a child who wants to approach this world.
Tired of searching relentlessly, I decided to write a complete step-by-step guide that would allow my children to learn on their own without my help and in total autonomy. After, I decide to integrate my product and put it on the market to help other parents that are in the situation I was in.
Python For Kids includes:
The step by step guide with screenshoot "From 0 To your First Line of Code" - Page 22
The most useful Python's construct
Step-by-step and must know
Variables, Operators, Loops, and Turtles
IF, statement
Fun Activities and Games - Page 127
...And much more
This is the book for you even if you don't know absolute nothing about programming, it's better if you don't have it because your child will learn all by himself developing problem solving and positive mindset.
Today 91% of Python programmers are not quite prepared. This is what the IT companies say, according to a recent survey. Do you know why? The reason is that they have no notions of artificial intelligence, so future programmers will no longer find work without having knowledge of this particular field that is constantly evolving. Artificial intelligence has made great strides over the years, and by 2024 it is estimated that 77% of programmers will have to be experts in this field to implement it in the various programming languages. So if you are such a programmer or aspirant and ignore the importance that Python data analysis and artificial intelligence have in our future, then you will be cut off from the business world. The solution? You need to learn these things and, above all, do it in a clear, simple, and practical way. The goal of Python for Data Science is to give you an advanced level training on Python, artificial intelligence, and deep machine learning as quickly as possible.What are some points you will learn in this book?- Artificial Intelligence: How Does it Work? How is it Used?- The Key Elements of Machine Learning- Machine Learning vs Deep Learning- Data Science vs Business Intelligence- The Data Science Lifecycle- The Value of Big Data Explained to a Child- 4 Tips for Data Cleaning and Organizing Your Data- Python Data Analysis 360 - 6 Different Machine Learning Algorithms- How to Handle Data VisualizationsPython for Data Science is perfect for those who already look to the future and want to ensure a job for the next 20 years by beating the competition, even if you know nothing about computer codes and you have never turned on a computer in your life. Would You Like to Know More? Buy now to find out about Python for Data Science.
The median annual wage for computer programmers was $86,550 in 2019
Hey you, father or mother that are reading these lines, let me introduce myself. I'm Raymond Deep, expert programmer since 1999 and father of two wonderful kids.
In my career I have worked with a lot of programming languages and, before writing this book, for months I had the problem to introduce my children in the world of programming.
Children want to have fun and I was looking for, without ever being satisfied, a product that would explain step by step, without the intervention of a parent and in a funny way, how to start writing the first line of code.
You know, I was looking for a book based on Python because, of all the programming languages I've used, I consider it the best one for a child who wants to approach this world.
Tired of searching relentlessly, I decided to write a complete step-by-step guide that would allow my children to learn on their own without my help and in total autonomy. After, I decide to integrate my product and put it on the market to help other parents that are in the situation I was in.
Python For Kids includes:
The step by step guide with screenshoot "From 0 To your First Line of Code" - Page 22
The most useful Python's construct
Step-by-step and must know
Variables, Operators, Loops, and Turtles
IF, statement
Fun Activities and Games - Page 127
...And much more
This is the book for you even if you don't know absolute nothing about programming, it's better if you don't have it because your child will learn all by himself developing problem solving and positive mindset.
Do you have a little smartypants running around your home? Would you like to ensure the brightest possible future for your child? If so, then this book is a perfect choice for both of you.
This bundle is an excellent choice for all children who are interested in the world of computers, programming, and coding. It is specially made for kids aged from 8 to 12 that have no prior knowledge of coding.
Here is what this bundle can teach your child:
Game-based learning - there's no better way for kids to learn than through playing and fun activities that will capture your child's attention.
40+ fun coding activities and games - this bundle is packed with more than 40 fun activities that will introduce coding to your child and help them grasp the basic skills from a very young age.
Easy-to-follow guidance - Straightforward directions and tips keep young coders engaged every step of the way, making sure they don't make mistakes or get discouraged.
Creating games from scratch - all kids love video games. These guides will teach your little genius how to develop simple games (such as tic-tac-toe) from scratch.
Benefits of coding - The books involve a section devoted to the benefits of coding that will teach your child how valuable this set of skills is and maintain their interest in learning.
So what are you waiting for? Children are never too young to start learning skills that will help them become successful in life. Teach your child the basic skills related to the most promising industry today
Scroll up, click on "Buy Now with 1-Click", and Get Your Copy Now
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 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
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