19 January, 2021

Mastering Reinforcement Learning with Python: Build next-generation, self-learning models using reinforcement learning techniques and best practices

eama Python ebooks ,

Mastering Reinforcement Learning with Python: Build next-generation, self-learning models using reinforcement learning techniques and best practices

DOWNLOAD

🎁Like Fanpage and Read online bellow⏬

Author(s): Enes Bilgin

Publisher: Packt Publishing, Year: 2020

Description:
Get hands-on experience in creating state-of-the-art reinforcement learning agents using TensorFlow and RLlib to solve complex real-world business and industry problems with the help of expert tips and best practices
Key Features

• Understand how large-scale state-of-the-art RL algorithms and approaches work
• Apply RL to solve complex problems in marketing, robotics, supply chain, finance, cybersecurity, and more
• Explore tips and best practices from experts that will enable you to overcome real-world RL challenges

Book Description
Reinforcement learning (RL) is a field of artificial intelligence (AI) used for creating self-learning autonomous agents. Building on a strong theoretical foundation, this book takes a practical approach and uses examples inspired by real-world industry problems to teach you about state-of-the-art RL.
Starting with bandit problems, Markov decision processes, and dynamic programming, the book provides an in-depth review of the classical RL techniques, such as Monte Carlo methods and temporal-difference learning. After that, you will learn about deep Q-learning, policy gradient algorithms, actor-critic methods, model-based methods, and multi-agent reinforcement learning. Then, you'll be introduced to some of the key approaches behind the most successful RL implementations, such as domain randomization and curiosity-driven learning.
As you advance, you'll explore many novel algorithms with advanced implementations using modern Python libraries such as TensorFlow and Ray's RLlib package. You'll also find out how to implement RL in areas such as robotics, supply chain management, marketing, finance, smart cities, and cybersecurity while assessing the trade-offs between different approaches and avoiding common pitfalls.
By the end of this book, you'll have mastered how to train and deploy your own RL agents for solving RL problems.

What you will learn
• Model and solve complex sequential decision-making problems using RL
• Develop a solid understanding of how state-of-the-art RL methods work
• Use Python and TensorFlow to code RL algorithms from scratch
• Parallelize and scale up your RL implementations using Ray's RLlib package
• Get in-depth knowledge of a wide variety of RL topics
• Understand the trade-offs between different RL approaches
• Discover and address the challenges of implementing RL in the real world

Who this book is for
This book is for expert machine learning practitioners and researchers looking to focus on hands-on reinforcement learning with Python by implementing advanced deep reinforcement learning concepts in real-world projects. Reinforcement learning experts who want to advance their knowledge to tackle large-scale and complex sequential decision-making problems will also find this book useful. Working knowledge of Python programming and deep learning along with prior experience in reinforcement learning is required.

About the Author
Enes Bilgin works as a senior AI engineer and a tech lead in Microsoft's Autonomous Systems division. He is a machine learning and operations research practitioner and researcher with experience in building production systems and models for top tech companies using Python, TensorFlow, and Ray/RLlib. He holds an M.S. and a Ph.D. in systems engineering from Boston University and a B.S. in industrial engineering from Bilkent University. In the past, he has worked as a research scientist at Amazon and as an operations research scientist at AMD. He also held adjunct faculty positions at the McCombs School of Business at the University of Texas at Austin and at the Ingram School of Engineering at Texas State University.

#evba #etipfree #eama #kingexcel

📲APP EVBA.info setting free for your phone 2021 VERSION 2.1

↪ https://bit.ly/3ipxzcO

📤How to Download ebooks:

Essential Excel 2019: A Step-By-Step Guide

eama Excel ebooks ,

Essential Excel 2019: A Step-By-Step Guide

DOWNLOAD

🎁Like Fanpage and Read online bellow⏬

Author(s): David Slager, Annette Slager

Publisher: Apress, Year: 2020

Description:

Create, edit, sort, analyze, summarize, and format data as well as graph it in Excel 2019. Chock full of visuals, user-friendly instructions, and reader exercises, this in-depth guide makes it easy for you to get on the bandwagon taking advantage of this powerful software and what it can do. Essential Excel 2019 doesn’t mess around. It provides the most clear and concise, but complete, information you need to successfully use the expansive features of Excel in your work environment.

The second edition of this soup-to-nuts book delivers essential how-to and reference information for users who are new to Excel, those who want to continue building their Excel skills, or anyone who wants to get up to speed on the latest changes and features in Excel 2019. It is heavy on the practical examples and light on the theory, providing a step-by-step process of what you need to do when you are working with Excel. You will begin with the basics, advancing as each chapter builds on knowledge from previous chapters. You will appreciate real-life examples and exercises that reinforce what you have learned, and upon finishing the book, you will have the confidence to use much more than the typical 10% that most people use in Excel.

What You Will Learn

Create amazing visualizations of your data
Get up to speed on easy and accurate methods for entering data
Extract the information you want from imported data; manipulate and format it to meet your needs
Export your results to other programs or share with others in the cloud
Organize, summarize, filter, and consolidate your data in multiple ways
Audit, validate, and protect your data

Who This Book Is For
Anyone new to Excel or looking to take better advantage of the advanced features of the platform

#evba #etipfree #eama #kingexcel

📲APP EVBA.info setting free for your phone 2021 VERSION 2.1

↪ https://bit.ly/3ipxzcO

📤How to Download ebooks: https://www.evba.info/2020/02/instructions-for-downloading-documents.html?m=1

Flask Web Development Using Python

eama Python ebooks ,

Flask Web Development Using Python

DOWNLOAD

🎁Like Fanpage and Read online bellow⏬

➥ this creative book is written by Miguel Grinberg in english language. and all the cradits of this book goes to him.

This book is divided into three parts:

➥ Part I - Introduction to Flask : explores the basics of web application development with the Flask framework and some of its extensions.(chap 6-7)

➥ Part II - Examples : A Social Blogging Application, builds Flasky, the open source blogging and social networking application that developed for this book.(chap 8-14)

➥ Part III - The Last Mil : describes some important tasks not directly related to application coding that need to be considered before publishing an application.(chap 15-18)

--Who This Book Is For--

➥ You should have some level of Python coding experience to make the most of this book. Although the book assumes no previous Flask knowledge, Python concepts such as packages, modules, functions, decorators, and object-oriented programming are assumed to be well understood. Some familiarity with exceptions and diagnosing issues from stack traces will be very useful.

➥ While working through the examples in this book, you will spend a great deal of time in the command line. You should feel comfortable using the command line of your operating system.

______________________________

➥ After finishing this book, you'll have a deep understanding of flask.

➥ i hope this book will help you to learn flask in python programming.

#evba #etipfree #eama #kingexcel

📲APP EVBA.info setting free for your phone 2021 VERSION 2.1

↪ https://bit.ly/3ipxzcO

📤How to Download ebooks: https://www.evba.info/2020/02/instructions-for-downloading-documents.html?m=1

[Free Ebook] VBA Notes for Professionals 2021

eama VBA ebooks ,

[Free Ebook] VBA Notes for Professionals 2021

DOWNLOAD PART 1

DOWNLOAD PART 2

This ExcelR VBA Notes for Professionals book is compiled from Stack Overflow
Documentation, the content is written by the beautiful people at Stack
Overflow.
Text content is released under Creative Commons BY-SA, see credits at the
end
of this book whom contributed to the various chapters. Images may be
copyright
of their respective owners unless otherwise specified
This is an unofficial free book created for educational purposes and is not
affiliated with official ExcelR VBA group(s) or company(s) nor Stack
Overflow. All
trademarks and registered trademarks are the property of their respective
company owners
The information presented in this book is not guaranteed to be correct nor
accurate, use at your own risk

#evba #etipfree #eama #kingexcel

📲APP EVBA.info setting free for your phone 2021 VERSION 2.1

↪ https://bit.ly/3ipxzcO

📤How to Download ebooks: https://www.evba.info/2020/02/instructions-for-downloading-documents.html?m=1

Excel: Portable Genius

eama Excel ebooks ,

Excel: Portable Genius

DOWNLOAD

🎁Like Fanpage and Read online bellow⏬

Author(s): Lisa A. Bucki

Year: 2020

Introduction

If having hundreds of millions of users or more constitutes success,

then Excel meets that test. In my decades as a tech writer and editor, Excel

has led the competition in providing powerful yet accessible computational

and data capabilities. “Accessible” can be a relative term, however. For

some people, the hundreds of features in Excel can be intimidating. Others

may wrestle with the best ways to create formulas or manage lists of data.

Excel Portable Genius aims to help you answer nine key questions you may

come up against when using Excel. The book covers the Excel features that

you need to know, along with some others that you should want to know. I

try to get right to the point in describing features and steps, so you can

power through, problem‐solve on your own, and free up time for other

activities.

#evba #etipfree #eama #kingexcel

📲APP EVBA.info setting free for your phone 2021 VERSION 2.1

↪ https://bit.ly/3ipxzcO

📤How to Download ebooks:https://www.evba.info/2020/02/instructions-for-downloading-documents.html?m=1

The Python Book - The ultimate guide to coding with Python

eama Python ebooks ,

The Python Book - The ultimate guide to coding with Python
DOWNLOAD
🎁Like Fanpage and Read online bellow⏬

who is this book for ?

👉 if you are beginner in python programming and have never code before , this book isn't for you. beacuse it's python 2 tutorial book.

but if you are python 2 programmer , you should read this book to know more about python 2.

and if you want to learn python 2 from beginning , you can read this book.

and some python 2 functions are still working in python 3 , so if you want to read them you can read this book 👍

how this book says about python ?

👉 Python is a great programming language for both beginners and experts. It is designed with code readability in mind, making it an excellent choice for beginners who are still getting used to various programming concepts. The language is popular and has plenty of libraries available, allowing programmers to get a lot done with

relatively little code. You can make all kinds of applications in Python: you could use the Pygame framework to write simple 2D games, you could use the GTKlibraries to create a windowed application, or you could try something a little more ambitious like an app such as creating one using Python’s Bluetooth and Input libraries to capture the input from a USB keyboard and relay the input events to an Android phone. For this guide we’re going to be using Python 2.x since that is the version that is most likely to be installed on your Linux distribution. In this book , you’ll learn how to create popular games using Python programming. We’ll also show you how to add sound and AI to these games.

#evba #etipfree #eama #kingexcel

📲APP EVBA.info setting free for your phone 2021 VERSION 2.1

↪ https://bit.ly/3ipxzcO

📤How to Download ebooks: https://www.evba.info/2020/02/instructions-for-downloading-documents.html?m=1

Practical Machine Learning with Python

eama Python ebooks ,

Practical Machine

Learning with Python

A Problem-Solver’s Guide to Building

Real-World Intelligent Systems

DOWNLOAD

🎁Like Fanpage and Read online bellow⏬

👉 This Book is a problem solver’s guide to building real-world intelligent systems. It follows a comprehensive three-tiered approach packed with concepts, methodologies, hands-on examples, and code.

👉 This book helps its readers master the essential skills needed to recognize and solve complex problems with Machine Learning and Deep Learning by following a data-driven mindset. Using real-world case studies that leverage the popular Python Machine Learning ecosystem, this book is your perfect companion for learning the art and science of Machine Learning to become a successful practitioner.

👉 The concepts, techniques, tools, frameworks, and methodologies used in this book will teach you how to think, design, build, and execute Machine Learning systems and projects successfully.

👉 This book will get you started on the ways to leverage the Python Machine Learning ecosystem with its diverse set of frameworks and libraries. The three-tiered approach of this book starts by focusing on building a strong foundation around the basics of Machine Learning and relevant tools and frameworks, the next part emphasizes the core processes around building Machine Learning pipelines, and the final part leverages this knowledge on solving some real-world case studies from diverse domains, including retail, transportation, movies, music, computer vision, art, and finance. This book also cover a wide range of Machine Learning models, including regression, classification, forecasting, rule-mining, and clustering.

👉 This book also touches on cutting edge methodologies and research from the field of Deep Learning, including concepts like transfer learning and case studies relevant to computer vision, including image classification and neural style transfer. Each chapter consists of detailed concepts with complete hands-on examples, code, and detailed discussions.

👉 The main intent of this book is to give a wide range of readers including IT professionals, analysts, developers, data scientists, engineers, and graduate students—a structured approach to gaining essential skills pertaining to Machine Learning and enough knowledge about leveraging state-of-the-art Machine Learning techniques and frameworks so that they can start solving their own real-world problems.

#evba #etipfree #eama #kingexcel

📲APP EVBA.info setting free for your phone 2021 VERSION 2.1

↪ https://bit.ly/3ipxzcO

📤How to Download ebooks: https://www.evba.info/2020/02/instructions-for-downloading-documents.html?m=1

Python Basics: A Practical Introduction to Python 3

eama Python ebooks ,

Python Basics: A Practical Introduction

to Python 3

DOWNLOAD

🎁Like Fanpage and Read online bellow⏬

👉 This book is for beginners who don't konw Python language or know some little-bit knowledge about python. this book'll starting fresh learn with no programming experience whatsoever.

👉 If you don’t have a computer science degree, don’t worry. This Book will guide you through the important computing concepts while teaching you the Python basics.

👉 In This Book , The flow of the lessons works perfectly throughout. The exercises truly helped along the way and you feel very accomplished when you finish this book.

👉 Interesting In This Book is , at the end of each particular lesson there are real world and interesting challenges.

👉 The wording of this book is casual, easy to understand, and

makes the information flow well. And coding exercises within each chapter and also interactive quizzes help fast-track your progress.

👉 i hope this book will help you in your programming.

#evba #etipfree #eama #kingexcel

📤How to Download ebooks: https://www.evba.info/2020/02/instructions-for-downloading-documents.html?m=1

Foundations of Deep Reinforcement Learning: Theory and Practice in Python

eama Python ebooks ,

Foundations of Deep Reinforcement Learning: Theory and Practice in Python

DOWNLOAD

🎁Like Fanpage and Read online bellow⏬

Author(s): Laura Graesser, Wah Loon Keng

Series: Addison-Wesley Data & Analytics Series

Publisher: Addison-Wesley, Year: 2020

Description:
The Contemporary Introduction to Deep Reinforcement Learning that Combines Theory and Practice

Deep reinforcement learning (deep RL) combines deep learning and reinforcement learning, in which artificial agents learn to solve sequential decision-making problems. In the past decade deep RL has achieved remarkable results on a range of problems, from single and multiplayer games–such as Go, Atari games, and DotA 2–to robotics.

Foundations of Deep Reinforcement Learning is an introduction to deep RL that uniquely combines both theory and implementation. It starts with intuition, then carefully explains the theory of deep RL algorithms, discusses implementations in its companion software library SLM Lab, and finishes with the practical details of getting deep RL to work.

This guide is ideal for both computer science students and software engineers who are familiar with basic machine learning concepts and have a working understanding of Python.

Understand each key aspect of a deep RL problem
Explore policy- and value-based algorithms, including REINFORCE, SARSA, DQN, Double DQN, and Prioritized Experience Replay (PER)
Delve into combined algorithms, including Actor-Critic and Proximal Policy Optimization (PPO)
Understand how algorithms can be parallelized synchronously and asynchronously
Run algorithms in SLM Lab and learn the practical implementation details for getting deep RL to work
Explore algorithm benchmark results with tuned hyperparameters
Understand how deep RL environments are designed

Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

#evba #etipfree #eama #kingexcel

📤How to Download ebooks: https://www.evba.info/2020/02/instructions-for-downloading-documents.html?m=1

Digital Filter Design using Python for Power Engineering Applications: An Open Source Guide

eama Python ebooks ,

Digital Filter Design using Python for Power Engineering Applications: An Open Source Guide

DOWNLOAD

Like Fanpage and Read online bellow⏬

Author(s): Shivkumar Venkatraman Iyer

Publisher: Springer International Publishing;Springer, Year: 2020

Description:

This book is an in-depth description on how to design digital filters. The presentation is geared for practicing engineers, using open source computational tools, while incorporating fundamental signal processing theory. The author includes theory as-needed, with an emphasis on translating to practical application. The book describes tools in detail that can be used for filter design, along with the steps needed to automate the entire process.

Breaks down signal processing theory into simple, understandable language for practicing engineers;
Provides readers with a highly-practical introduction to digital filter design;
Uses open source computational tools, while incorporating fundamental signal processing theory;
Describes examples of digital systems in engineering and a description of how they are implemented in practice;
Includes case studies where filter design is described in depth from inception to final implementation.

#evba #etipfree #eama #kingexcel

📤How to Download ebooks: https://www.evba.info/2020/02/instructions-for-downloading-documents.html?m=1

Multicriteria Portfolio Construction with Python

eama Python ebooks ,

Multicriteria Portfolio Construction with Python

DOWNLOAD

Like Fanpage and Read online bellow⏬

Author(s): Elissaios Sarmas, Panos Xidonas, Haris Doukas

Series: Springer Optimization and Its Applications 163

Publisher: Springer International Publishing;Springer, Year: 2020

Description:

This book covers topics in portfolio management and multicriteria decision analysis (MCDA), presenting a transparent and unified methodology for the portfolio construction process. The most important feature of the book includes the proposed methodological framework that integrates two individual subsystems, the portfolio selection subsystem and the portfolio optimization subsystem. An additional highlight of the book includes the detailed, step-by-step implementation of the proposed multicriteria algorithms in Python. The implementation is presented in detail; each step is elaborately described, from the input of the data to the extraction of the results. Algorithms are organized into small cells of code, accompanied by targeted remarks and comments, in order to help the reader to fully understand their mechanics. Readers are provided with a link to access the source code through GitHub.

This Work may also be considered as a reference which presents the state-of-art research on portfolio construction with multiple and complex investment objectives and constraints. The book consists of eight chapters. A brief introduction is provided in Chapter 1. The fundamental issues of modern portfolio theory are discussed in Chapter 2. In Chapter 3, the various multicriteria decision aid methods, either discrete or continuous, are concisely described. In Chapter 4, a comprehensive review of the published literature in the field of multicriteria portfolio management is considered. In Chapter 5, an integrated and original multicriteria portfolio construction methodology is developed. Chapter 6 presents the web-based information system, in which the suggested methodological framework has been implemented. In Chapter 7, the experimental application of the proposed methodology is discussed and in Chapter 8, the authors provide overall conclusions.

The readership of the book aims to be a diverse group, including fund managers, risk managers, investment advisors, bankers, private investors, analytics scientists, operations researchers scientists, and computer engineers, to name just several. Portions of the book may be used as instructional for either advanced undergraduate or post-graduate courses in investment analysis, portfolio

[Free Ebook] 21 TIPS AND TRICKS 2021 FREE PDF

eama Excel ebooks ,

[Free Ebook] 21 TIPS AND TRICKS 2021 FREE PDF

DOWNLOAD

Like Fanpage and Read online bellow⏬

#evba #etipfree #eama #kingexcel

📤How to Download ebooks: https://www.evba.info/2020/02/instructions-for-downloading-documents.html?m=1

Python for Marketing Research and Analytics

eama Python ebooks ,

Python for Marketing Research and Analytics

DOWNLOAD

Like Fanpage and Read online bellow⏬

Author(s): Jason S. Schwarz, Chris Chapman, Elea McDonnell Feit

Publisher: Springer International Publishing;Springer, Year: 2020

Description:

This book provides an introduction to quantitative marketing with Python. The book presents a hands-on approach to using Python for real marketing questions, organized by key topic areas. Following the Python scientific computing movement toward reproducible research, the book presents all analyses in Colab notebooks, which integrate code, figures, tables, and annotation in a single file. The code notebooks for each chapter may be copied, adapted, and reused in one's own analyses. The book also introduces the usage of machine learning predictive models using the Python sklearn package in the context of marketing research.

This book is designed for three groups of readers: experienced marketing researchers who wish to learn to program in Python, coming from tools and languages such as R, SAS, or SPSS; analysts or students who already program in Python and wish to learn about marketing applications; and undergraduate or graduate marketing students with little or no programming background. It presumes only an introductory level of familiarity with formal statistics and contains a minimum of mathematics.

#evba #etipfree #eama #kingexcel

📤How to Download ebooks: https://www.evba.info/2020/02/instructions-for-downloading-documents.html?m=1