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81) Neural Network for Beginners: Build Deep Neural Networks and Develop Strong Fundamentals Using Pytho
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KEY FEATURES● Understand applications like reinforcement learning, automatic driving and image generation.● Understand neural networks accompanied with figures and charts.● Learn about determining coefficients and initial values of weights. DESCRIPTION Deep learning helps you solve issues related to data problems as it has a vast array of mathematical algorithms and has capacity to detect patterns. This book starts with a quick view of deep...
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Improve your coding skills and learn how to write readable code. Rather than teach basic programming, this book presumes that readers understand the fundamentals, and offers time-honed best practices for style, design, documenting, testing, refactoring, and more.
Taking an informal, conversational tone, author Michael Stueben offers programming stories, anecdotes, observations, advice, tricks, examples, and challenges based on his 38 years’ experience...
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Python Object-Oriented Programming for Beginners is a comprehensive guide that takes readers on a step-by-step journey through the fundamental principles and practices of object-oriented programming (OOP) using Python. The book is designed to be accessible to beginners with little to no programming experience, and it provides a solid foundation for building more advanced applications. The book begins with an introduction to the concepts of OOP and...
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Este libro de instrucciones es el tercer volumen de la serie Introducción a los Algoritmos y las Estructuras de Datos. Está escrito en como un curso. Es un libro muy comprensivo para las estructuras de datos y los algoritmos, que incluye:
• Tutoriales de texto con muchas ilustraciones
• 5 horas de video tutoriales de alta definición
• Preguntas comunes en las entrevistas con Google, Microsoft, Amazon y otras grandes compañías.
• Ejercicios...
85) Python Projects for Beginners: Part 4. Object-Oriented Programming (OOP). Get an Introduction to OOP
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Python Projects for Beginners: Object-Oriented Programming (OOP)" is a comprehensive guide to learning the key concepts of Object-Oriented Programming (OOP) in Python. Designed for beginners with little to no programming experience, this book covers essential OOP concepts such as classes, objects, inheritance, and polymorphism. With step-by-step guidance and hands-on examples, readers will learn how to create classes, define objects, and work with...
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This playbook is the third volume of the series "Introduction to Algorithms & Data Structures". It is written in the form of a course. It is a very comprehensive data structures and algorithms book, packed with:
> text tutorials with a lot of illustrations
> popular interview questions asked by Google, Microsoft, Amazon and other big companies,
> hands on lessons, practice exercises and solutions,
> codes written during the course and
> screenshots...
87) RUBY Beginner's Crash Course: Ruby for Beginner's Guide to Ruby Programming, Ruby On Rails & Rails P
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Ruby is a computer programming language created in the 1990s by the Japanese programmer Matz, whose full name is Yukihiro Matsumoto. It was designed to make programming fun, and is one of the few computer languages that emphasize human comprehension over machine logic. Ruby is fast becoming one of the most popular languages for developing web applications. Ruby on Rails, developed by David Heinemeier Hansson to work with Ruby, introduced more people...
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Employ essential and hands-on tools and functions of the MATLAB and Simulink packages, which are explained and demonstrated via interactive examples and case studies. This book contains dozens of simulation models and solved problems via m-files/scripts and Simulink models which help you to learn programming and modeling essentials. You'll become efficient with many of the built-in tools and functions of MATLAB/Simulink while solving engineering and...
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Master algorithms programming using Lisp, including the most important data structures and algorithms. This book also covers the essential tools that help in the development of algorithmic code to give you all you need to enhance your code.
“Programming Algorithms in Lisp” shows real-world engineering considerations and constraints that influence the programs that use these algorithms. It includes practical use cases of the applications of the...
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This book is volume 3 of Web Development from Beginner to Paid Professional. In this volume, you'll learn JavaScript Algorithms and Data Structures. While HTML and CSS control the content and styling of a page, JavaScript is used to make it interactive. In this volume, you'll learn the fundamentals of JavaScript including variables, arrays, objects, loops, and functions.
Once you have the fundamentals down, you'll apply that knowledge by creating...
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Get the most out of JavaScript for building web applications through a series of patterns, techniques, and case studies for clean coding Key Features Write maintainable JS code using internal abstraction, well-written tests, and well-documented code Understand the agents of clean coding like SOLID principles, OOP, and functional programming Explore solutions to tackle common JavaScript challenges in building UIs, managing APIs, and writing states...
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Learn the basics of PCG development
Develop a 2D game from start to finish
Explore all the different ways PCG can be applied in games
Book Description
Procedural Content Generation is a process by which game content is developed using computer algorithms, rather than through the manual efforts of game developers. This book teaches readers how to develop algorithms for procedural generation that they can use in their own games. These concepts...
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In this book, we will explore in the world of Data Science and inside you will gain informative insights in depth. You wiill access Maths needed for Data Science in detail with the formulase, examples and simple explanations. Then you will go through Python needed for Data Science, where you will get everything in Python from basics to advanced level, code examples and explanations. And the main thing is Machine Learning, here Machine Learning Basics...
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Why Should You Learn C++ at the Very Least?
Even if you want to use higher-level languages as your primary tool
C++ is the foundation of today's AI sector. AI scientists and data analysts may favor simple language bindings such as Python, but any serious project must employ C++ as its foundation.
Furthermore, many firms in the autonomous driving field will continue to employ it in the foreseeable future.
It is expected that by 2025, 15% of Robotic...
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Introducing "ALGORITHMS: COMPUTER SCIENCE UNVEILED" - Your Path to Algorithmic Mastery!
Are you fascinated by the world of computer science and the magic of algorithms?
Do you want to unlock the power of algorithmic thinking and take your skills to expert levels?
Look no further!
This exclusive book bundle is your comprehensive guide to mastering the art of algorithms and conquering the exciting realm of computer science.
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Enhance your knowledge of coding with data science theory for practical insight into data science and analysis
More than just a math class, learn how to perform real-world data science tasks with R and Python
Create actionable insights and transform raw data into tangible value
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Need to turn your skills at programming into effective data science skills? Principles of Data Science is created to help you join the...
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This book is intended to provide an introduction to recommender systems using Apache Spark and Machine Learning. Before we begin with recommender systems using Apache Spark, we define Big Data and Machine Learning. We then dive directly into our use case of building a recommender system with Apache Spark and Machine learning by showing you how to build a recommender system - step by step.
98) Practical Deep Reinforcement Learning with Python: Concise Implementation of Algorithms, Simplified
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Introducing Practical Smart Agents Development using Python, PyTorch, and TensorFlow
KEY FEATURES ● Exposure to well-known RL techniques, including Monte-Carlo, Deep Q-Learning, Policy Gradient, and Actor-Critical. ● Hands-on experience with TensorFlow and PyTorch on Reinforcement Learning projects.● Everything is concise, up-to-date, and visually explained with simplified mathematics.
DESCRIPTION Reinforcement learning is a fascinating branch...
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Know Data science with numpy, pandas, scipy, sklearn "Data science and Machine learning interview questions using Python," a book which is a true companion of people aspiring for data science and machine learning, and it provides answers to most asked questions in an easy to remember and presentable form.
Book mainly intended to be used as last-minute revision, before the interview, as all the important concepts and various terminologies have been...
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Do you wish to create an application or website that can help many people?or do you want to work in this field? Coding are the foundations of ticket booking sites, online motorcycle taxis, online shops and many more.Coding is how to make any desired program, so that many people can use it. The book does not contain any technical guide or tutorial. This book discusses myths, tips & tricks to learn, ways of thinking, challenges, creating computer programs,...
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