Machine Learning Python: 2 Manuscripts - Artificial Intelligence Python and Reinforcement Learning with Python

Anthony Williams

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商品描述

Machine Learning Python - 2 BOOK BUNDLE!!

Book 1: Artificial Intelligence with Python

It is more than apparent that artificial intelligence techniques and practices will navigate the changes in the near future and simply shape the world. It is fair to say that AP is leading approach when it comes to the various scientific fields as well as various industries and today, it is almost impossible the world without advancements in the artificial intelligence field. Experts and scientists both agree that artificial intelligence is the field which will most certainly shape our economic future, automotive industry, health care, cybersecurity as well as cybercrime. Over the coming decades, AI will greatly impact every aspect of our lives including our work, careers, education, care for elderly and much more. Eventually, it will alter the world completely, as machines will pursue complex goals independently of their creators. AI tools have become mainstream tools when it comes to the various industries and science fields since these tools greatly reduce costs, increase profits and even save lives. If you understand the basic concept behind different AI techniques and approaches, you will be able to greatly benefit from it in various aspects. In order to maximize the benefits of AI advancements, you have to be ready to embark on different challenges. However, with this book, you will be able to overcome challenges and the reward is a success.

What you will learn in this book:

  • Different artificial intelligence approaches and goals
  • How to define AI system
  • Basic AI techniques
  • Reinforcement learning
  • How to build a recommender system
  • Genetic and logic programming
  • And much, much more...

Book 2: Reinforcement Learning with Python

Reinforcement learning is one of those data science fields, which will most certainly shape the world. The changes are already visible since we have self-driving cars, robots and much more we used to see only in some futuristic movies. Reinforcement learning is widely used machine learning technique, a computational approach when it comes to the different software agents, which are trying to maximize the total amount of possible reward they receive while interacting with some uncertain as well as very complex environments.

This book is divided into seven chapters in which you will get to reinforcement techniques and methodology better. The first chapters will introduce you to the main concept laying being reinforcement learning techniques. Further, you will see what is the difference between reinforcement learning and other machine learning techniques. The book also provides some of the basic solution methods when it comes to the Markov decision processes, dynamic programming, Monte Carlo methods and temporal difference learning.

What you will learn by reading this book:

  • Types of fundamental machine learning algorithms in comparison to reinforcement learning
  • Essentials of reinforcement learning process
  • Marko decision processes and basic parameters
  • How to integrate reinforcement learning algorithm using OpenAI Gym
  • How to integrate Monte Carlo methods for prediction
  • Monte Carlo tree search
  • Dynamic programming in Python for policy evaluation, policy iteration and value iteration
  • Temporal difference learning or TD
  • And much, much more...

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商品描述(中文翻譯)

機器學習 Python - 2本書籍組合包!

書籍1:Python人工智慧

顯而易見的是,人工智慧技術和實踐將在不久的將來引領變革並塑造世界。可以說,當談到各種科學領域以及各個行業時,人工智慧是領先的方法,今天,幾乎不可能沒有人工智慧領域的進展。專家和科學家都同意,人工智慧是最有可能塑造我們的經濟未來、汽車工業、醫療保健、網絡安全以及網絡犯罪的領域。在未來幾十年裡,人工智慧將極大地影響我們生活的方方面面,包括我們的工作、職業、教育、老年人護理等等。最終,它將完全改變世界,因為機器將獨立於其創造者追求複雜的目標。人工智慧工具已成為各種行業和科學領域的主流工具,因為這些工具大大降低成本,增加利潤,甚至拯救生命。如果您理解不同人工智慧技術和方法背後的基本概念,您將能夠在各個方面大大受益。為了最大程度地發揮人工智慧進展的好處,您必須準備好迎接不同的挑戰。然而,通過這本書,您將能夠克服挑戰,獲得成功的回報。

您將在本書中學到:


  • 不同的人工智慧方法和目標

  • 如何定義人工智慧系統

  • 基本的人工智慧技術

  • 強化學習

  • 如何建立推薦系統

  • 遺傳和邏輯編程

  • 以及更多...

書籍2:Python強化學習

強化學習是那些必將塑造世界的數據科學領域之一。變革已經可見,因為我們已經有了自動駕駛汽車、機器人等等,這些以前只在一些未來主義電影中才能看到。強化學習是廣泛使用的機器學習技術,一種計算方法,用於不確定且非常複雜的環境中,軟件代理嘗試最大化其獲得的總獎勵。

本書分為七章,讓您更好地了解強化學習技術和方法。前幾章將向您介紹強化學習技術的主要概念。此外,您還將了解強化學習與其他機器學習技術的區別。本書還提供了一些基本的解決方法,包括馬爾可夫決策過程、動態規劃、蒙特卡羅方法和時間差異學習。

閱讀本書您將學到:


  • 基本的機器學習算法類型與強化學習的比較

  • 強化學習過程的基本要素

  • 馬爾可夫決策過程和基本參數

  • 如何使用OpenAI Gym集成強化學習算法

  • 如何使用蒙特卡羅方法進行預測

  • 蒙特卡羅樹搜索

  • Python中的動態規劃,包括策略評估、策略迭代和值迭代

  • 時間差異學習或TD

  • 以及更多...

立即購買這本書籍組合,節省金錢!