Python Programming: 4 Manuscripts - Artificial Intelligence Python, Reinforcement Learning with Python, Text Analytics with Python, Convol (Python 程式設計:四部手稿 - 人工智慧 Python、強化學習 Python、文本分析 Python、卷積神經網絡)
Anthony Williams
- 出版商: CreateSpace Independ
- 出版日期: 2017-10-16
- 售價: $1,510
- 貴賓價: 9.5 折 $1,435
- 語言: 英文
- 頁數: 382
- 裝訂: Paperback
- ISBN: 1978317115
- ISBN-13: 9781978317116
-
相關分類:
Python、程式語言、Reinforcement、人工智慧、DeepLearning
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商品描述
Python Programming - 4 BOOK BUNDLE!!
Book 1: Artificial Intelligence with Python
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
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...
Book 3: Reinforcement Learning with Python
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...
Book 4: Text Analytics with Python
What you will learn by reading this book:
- Text analytics process
- How to build a corpus and analyze sentiment
- Named entity extraction with Groningen meaning bank corpus
- How to train your system
- Getting started with NLTK
- How to search syntax and tokenize sentences
- Automatic text summarization
- Stemming word and topic modeling with NLTK
- Using scikit-learn for text classification
- Part of speech tagging and POS tagging models in NLTK
- And much, much more...
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商品描述(中文翻譯)
Python程式設計 - 4本書籍合集!!
書籍1: 使用Python的人工智慧
你將在本書中學到:
- 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
- 遺傳和邏輯程式設計
- 還有更多...
書籍2: 使用Python的強化學習
閱讀本書,你將學到:
- 強化學習相對於基本機器學習算法的類型
- 強化學習過程的基本要素
- 馬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
- 使用Python進行策略評估、策略迭代和價值迭代的動態規劃
- 時間差異學習或TD
- 還有更多...
書籍3: 使用Python的強化學習
閱讀本書,你將學到:
- 強化學習相對於基本機器學習算法的類型
- 強化學習過程的基本要素
- 馬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
- 使用Python進行策略評估、策略迭代和價值迭代的動態規劃
- 時間差異學習或TD
- 還有更多...
書籍4: 使用Python的文本分析
閱讀本書,你將學到:
- 文本分析過程
- 如何建立語料庫並分析情感
- 使用Groningen意義銀行語料庫進行命名實體提取
- 如何訓練你的系統
- 開始使用NLTK
- 如何搜索語法並分割句子
- 自動文本摘要
- 使用NLTK進行詞幹提取和主題建模
- 使用scikit-learn進行文本分類
- 詞性標註和NLTK中的詞性標註模型
- 還有更多...