Python Programming: 4 Manuscripts - Artificial Intelligence Python, Reinforcement Learning with Python, Text Analytics with Python, Convol
Anthony Williams
- 出版商: CreateSpace Independ
- 出版日期: 2017-10-16
- 售價: $1,380
- 貴賓價: 9.5 折 $1,311
- 語言: 英文
- 頁數: 382
- 裝訂: Paperback
- ISBN: 1978317115
- ISBN-13: 9781978317116
-
相關分類:
Python、Reinforcement 強化學習、人工智慧、DeepLearning 深度學習
無法訂購
買這商品的人也買了...
-
$250Python數據科學入門 (Data Science Essentials in Python: Collect - Organize - Explore - Predict - Value) -
最新人工智慧應用：用強化學習快速上手 AI$580$493 -
Python : 統計人的視角$216$205 -
用 Python 實作強化學習｜使用 TensorFlow 與 OpenAI Gym (Hands-On Reinforcement Learning with Python)$520$411 -
AI With Python For Beginners: Artificial Intelligence With Python.$800$760 -
Docker 專業養成 ─ 活用基礎與實踐技能 (暢銷回饋版)$450$351 -
邁向 Linux 工程師之路：Superuser 一定要懂的技術與運用, 2/e (How Linux Works: What Every Superuser Should Know, 2/e)$600$468
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...
