Описание: This Comprehensive Guide Will Help You Take the Headache Out of Python Coding, Programming, and Data Analysis
Python is a very popular language and, if you're just starting with coding, you should make sure that it is the first language to learn. But how do you start learning this language?
The first step in learning any programming language is making sure that you understand how to learn it.
The best way to learn Python is to understand the big picture of all that you need to learn before you dive in and start learning.
Learning Python is easy, even if you've never learned about coding before. It offers excellent readability and simple-to-learn syntax, which helps beginners learn this programming language in no time
This book will not only teach you everything you should know about Python, but it will also give you a greater insight into coding, programming, machine learning, and data analysis.
Here is what this book will teach you:
-The fundamental skills that will bootstrap you as a programmer
-Everything you should know about coding, programming, machine learning, and data analysis
-How to become an expert in using Python
-Make your program come to life with practical exercises
-How to start profiting from your coding and programming skills
This guide won't only give you theoretical knowledge about Python and coding. It also contains so many small exercises that will help you start your journey of building a program. And, it is this journey that will teach you the most.
Yes, you can learn a lot from reading about Python. But, the best way to learn is by using Python to build something. While you do that, you are quite likely to come across a few obstacles. But don't worry This book will help you conquer each and every one of them.
Ready to become an expert in coding and programming? Grab this book and start your Python journey
Описание: This Comprehensive Guide Will Help You Take the Headache Out of Python Coding, Programming, and Data Analysis
Python is a very popular language and, if you're just starting with coding, you should make sure that it is the first language to learn. But how do you start learning this language?
The first step in learning any programming language is making sure that you understand how to learn it.
The best way to learn Python is to understand the big picture of all that you need to learn before you dive in and start learning.
Learning Python is easy, even if you've never learned about coding before. It offers excellent readability and simple-to-learn syntax, which helps beginners learn this programming language in no time
This book will not only teach you everything you should know about Python, but it will also give you a greater insight into coding, programming, machine learning, and data analysis.
Here is what this book will teach you:
-The fundamental skills that will bootstrap you as a programmer
-Everything you should know about coding, programming, machine learning, and data analysis
-How to become an expert in using Python
-Make your program come to life with practical exercises
-How to start profiting from your coding and programming skills
This guide won't only give you theoretical knowledge about Python and coding. It also contains so many small exercises that will help you start your journey of building a program. And, it is this journey that will teach you the most.
Yes, you can learn a lot from reading about Python. But, the best way to learn is by using Python to build something. While you do that, you are quite likely to come across a few obstacles. But don't worry This book will help you conquer each and every one of them.
Ready to become an expert in coding and programming? Grab this book and start your Python journey
Описание: This Comprehensive Guide Will Help You Take the Headache Out of Python Coding, Programming, and Data Analysis
Python is a very popular language and, if you're just starting with coding, you should make sure that it is the first language to learn. But how do you start learning this language?
The first step in learning any programming language is making sure that you understand how to learn it.
(This is the color version of the book)
The best way to learn Python is to understand the big picture of all that you need to learn before you dive in and start learning.
Learning Python is easy, even if you've never learned about coding before. It offers excellent readability and simple-to-learn syntax, which helps beginners learn this programming language in no time
This book will not only teach you everything you should know about Python, but it will also give you a greater insight into coding, programming, machine learning, and data analysis.
Here is what this book will teach you:
- The fundamental skills that will bootstrap you as a programmer
- Everything you should know about coding, programming, machine learning, and data analysis
- How to become an expert in using Python
- Make your program come to life with practical exercises
- How to start profiting from your coding and programming skills
This guide won't only give you theoretical knowledge about Python and coding. It also contains so many small exercises that will help you start your journey of building a program. And, it is this journey that will teach you the most.
Yes, you can learn a lot from reading about Python. But, the best way to learn is by using Python to build something. While you do that, you are quite likely to come across a few obstacles. But don't worry This book will help you conquer each and every one of them.
Ready to become an expert in coding and programming? Grab this book and start your Python journey
If you are looking for a complete beginners guide to learn deep learning with examples, in just a few hours, then you need to continue reading.
This book delves into the basics of deep learning for those who are enthusiasts concerning all things machine learning and artificial intelligence. For those who have seen movies which show computer systems taking over the world like, Terminator, or benevolent systems that watch over the population, i.e. Person of Interest, this should be right up your alley.
This book will give you the basics of what deep learning entails. That means frameworks used by coders and significant components and tools used in deep learning, that enable facial recognition, speech recognition, and virtual assistance. Yes, deep learning provides the tools through which systems like Siri became possible.
Grab your copy today and learn:
Deep learning utilizes frameworks which allow people to develop tools which are able to offer better abstraction, along with simplification of hard programming issues. TensorFlow is the most popular tool and is used by corporate giants such as Airbus, Twitter, and even Google.
The book illustrates TensorFlow and Caffe2 as the prime frameworks that are used for development by Google and Facebook. Facebook illustrates Caffe2 as one of the lightweight and modular deep learning frameworks, though TensorFlow is the most popular one, considering it has a lot of popularity, and thus, a big forum, which allows for assistance on main problems.
The book considers several components and tools of deep learning such as the neural networks; CNNs, RNNs, GANs, and auto-encoders. These algorithms create the building blocks which propel deep learning and advance it.
The book also considers several applications, including chatbots and virtual assistants, which have become the main focus for deep learning into the future, as they represent the next frontier in information gathering and connectivity. The Internet of Things is also represented here, as deep learning allows for integration of various systems via an artificial intelligence system, which is already being used for the home and car functions.
And much more...
The use of data science adds a lot of value to businesses, and we will continue to see the need for data scientists grow.
This book is probably one of the best books for beginners. It's a step-by-step guide for any person who wants to start learning deep learning and artificial intelligence from scratch.
When data science can reduce spending costs by billions of dollars in our economy, why wait to jump in?
Описание: Break into the lucrative field of programming and kickstart your coding career with this comprehensive guide to Python programming for beginners!This guide will show you everything you need to become a Python ninja and develop in-demand Python skills that will help you become a better programmer and equip you with the skills you need
Автор: Charles M. Reigeluth; Bela H. Banathy; J.R. Olson Название: Comprehensive Systems Design: A New Educational Technology ISBN: 3642634451 ISBN-13(EAN): 9783642634451 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: So, what is the deal with intelligent machines? Will they soon decide on things such as copyright infringement? How about self-driving trucks and cars?
If you are looking for a complete beginners guide to learn deep learning with examples, in just a few hours, then you need to continue reading.
This book delves into the basics of deep learning for those who are enthusiasts concerning all things machine learning and artificial intelligence. For those who have seen movies that show computer systems taking over the world like, Terminator, or benevolent systems that watch over the population, i.e. Person of Interest, this should be right up your alley.
This book will give you the basics of what deep learning entails. That means frameworks used by coders and significant components and tools used in deep learning, that enable facial recognition, speech recognition, and virtual assistance. Yes, deep learning provides the tools through which systems like Siri became possible.
Grab your copy today and learn:
Deep learning utilizes frameworks that allow people to develop tools that are able to offer better abstraction, along with simplification of hard programming issues. TensorFlow is the most popular tool and is used by corporate giants such as Airbus, Twitter, and even Google.
The book illustrates TensorFlow and Caffe2 as the prime frameworks that are used for development by Google and Facebook. Facebook illustrates Caffe2 as one of the lightweight and modular deep learning frameworks, though TensorFlow is the most popular one, considering it has a lot of popularity, and thus, a big forum, which allows for assistance on main problems.
The book considers several components and tools of deep learning such as the neural networks; CNNs, RNNs, GANs, and auto-encoders. These algorithms create the building blocks which propel deep learning and advance it.
The book also considers several applications, including chatbots and virtual assistants, which have become the main focus for deep learning into the future, as they represent the next frontier in information gathering and connectivity. The Internet of Things is also represented here, as deep learning allows for integration of various systems via an artificial intelligence system, which is already being used for the home and car functions.
And much more...
The use of data science adds a lot of value to businesses, and we will continue to see the need for data scientists grow.
This book is probably one of the best books for beginners. It's a step-by-step guide for any person who wants to start learning deep learning and artificial intelligence from scratch.
When data science can reduce spending costs by billions of dollars in our economy, why wait to jump in?
If you want to learn about artificial intelligence without having to go through a boring textbook, then keep reading...
Two manuscripts in one book:
Artificial Intelligence: An Essential Beginner's Guide to AI, Machine Learning, Robotics, The Internet of Things, Neural Networks, Deep Learning, Reinforcement Learning, and Our Future
Robotics: What Beginners Need to Know about Robotic Process Automation, Mobile Robots, Artificial Intelligence, Machine Learning, Autonomous Vehicles, Speech Recognition, Drones, and Our Future
So, what is the deal with intelligent machines? Will they soon decide on things such as copyright infringement? How about self-driving trucks and cars?
What kind of impact will smart machines have on society and the future of human jobs?
This book will give you a glimpse into the most fascinating topic of the 21st century--artificial intelligence (AI), a hypothetical simulation of a living brain inside a computer.
In part 1 of this book, you will:
Confluence of Interests
AI Myths
Manipulating the Limbic System
Motivation for Creating AI
Basic Concepts
IoT Ecosystem
Fighting Against Tech Giants
Seminal Inventions
Fear-based Consumerism
AI and Growth Hacking
AI and Correcting Fake News
AI and Big Data
AI and Employment
AI and The Legal System
AI and Self-driving Vehicles
Tech Giants As Rulers of Society
AI as One World Religion
Dietary Advice by AI
AI and Loneliness
AI and Ethics
AI and Social Credit
Hacking AI
AI as Sports Referees
And much, much more
Some of the topics covered in part 2 of this book include:
The basics of robotics and what some of the advantages and disadvantages are.
Reasons that experts are trying to warn us about robots.
Myths about robots and the actual truth.
Robotic Process Automation and how it relates to robotics.
Mobile robots and how they have changed throughout the years.
Artificial Intelligence and how it can be tied to robotics.
Machine learning and how robots use it.
Autonomous vehicles and how they work.
How robots use speech recognition.
Drones - what they are and how they work.
How robots are being used in business and how they could take your job.
Answers to frequently asked questions about robotics.
And much, much more
If you want to learn more about artificial intelligence, then scroll up and click "add to cart"
Автор: Wittkop Название: Building a Comprehensive IT Security Program ISBN: 1484220528 ISBN-13(EAN): 9781484220528 Издательство: Springer Рейтинг: Цена: 5170.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explains the ongoing war between private business and cyber criminals, state-sponsored attackers, terrorists, and hacktivist groups. Further, it explores the risks posed by trusted employees that put critical information at risk through malice, negligence, or simply making a mistake. It clarifies the historical context of the current situation as it relates to cybersecurity, the challenges facing private business, and the fundamental changes organizations can make to better protect themselves. The problems we face are difficult, but they are not hopeless.Cybercrime continues to grow at an astounding rate. With constant coverage of cyber-attacks in the media, there is no shortage of awareness of increasing threats. Budgets have increased and executives are implementing stronger defenses. Nonetheless, breaches continue to increase in frequency and scope.Building a Comprehensive IT Security Program shares why organizations continue to fail to secure their critical information assets and explains the internal and external adversaries facing organizations today. This book supplies the necessary knowledge and skills to protect organizations better in the future by implementing a comprehensive approach to security.Jeremy Wittkop’s security expertise and critical experience provides insights into topics such as:Who is attempting to steal information and why?What are critical information assets?How are effective programs built?How is stolen information capitalized?How do we shift the paradigm to better protect our organizations?How we can make the cyber world safer for everyone to do business?
Описание: If you want to learn how to design and master different Machine Learning algorithms quickly and easily, then keep reading.
We live in a world of data deluge where gigabytes of data are generated daily. It is possible that this data might not be very useful for our daily applications. Major setbacks in the use of such data may be due to the presence of loopholes in data links previously generated or the data might be too vast for the limited human mind. Machine learning in this book presents some of the solutions to the problems above. Being an introductory guide, expect to learn the various basics involved in Machine Learning and Python. This book provides an insight into the new world of big data, then behooves you to learn more about Machine Learning.
With a detailed and concise overview of the fundamentals, along with the challenges and limitations currently being tackled by the pros, inside this comprehensive guide you will
-Learn the Fundamentals of Machine Learning which Are Being Developed and Advanced with Python
-What is Machine Learning and how it is applied in real-world situations
-Algorithms, in a Language that Requires No Prior Background in Python
-Discover best practices for evaluating and tuning models
-Discover the Details of the Supervised, Unsupervised, and Reinforcement Algorithms, which Serve as the Skeleton of Hundreds of Machine Learning Algorithms Being Developed Every Day
-Become Familiar with Data Science Technology, an Umbrella Term Used for the Cutting-Edge Technologies of Today
-Understand the Entire Process of Creating Neural Network Models on TensorFlow, Using Open Source Data Sets and real Python Code
-Uncover the Secrets of the Most Critical Aspect of Developing a Machine Learning Model - Data Pre-Processing and Training/Testing Subsets
-Artificial Neural Networks
-And Much More
So what are you waiting for?
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 on the BUY NOW button to get your copy now
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
