Machine Learning and Deep Learning Using Python and Tensorflow (Hardcover)

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Understand the principles and practices of machine learning and deep learning

This hands-on guide lays out machine learning and deep learning techniques and technologies in a style that is approachable, using just the basic math required. Written by a pair of experts in the field, Machine Learning and Deep Learning Using Python and TensorFlow contains case studies in several industries, including banking, insurance, e-commerce, retail, and healthcare. The book shows how to utilize machine learning and deep learning functions in today's smart devices and apps. You will get download links for datasets, code, and sample projects referred to in the text.

Coverage includes:

• Machine learning and deep learning concepts
• Python programming and statistics fundamentals
• Regression and logistic regression
• Decision trees
• Model selection and cross-validation
• Cluster analysis
• Random forests and boosting
• Artificial neural networks
• TensorFlow and Keras
• Deep learning hyperparameters
• Convolutional neural networks
• Recurrent neural networks and long short-term memory

   

   

   

   

出版商註解：從第三方賣家購買的產品，出版商不保證其品質、真實性或包含的任何在線權益的使用。

了解機器學習和深度學習的原理和實踐。

這本實用指南以易於理解的方式介紹機器學習和深度學習的技術和技術，只使用了基本的數學知識。由該領域的兩位專家撰寫，《使用Python和TensorFlow進行機器學習和深度學習》一書包含了銀行、保險、電子商務、零售和醫療保健等多個行業的案例研究。本書展示了如何在今天的智能設備和應用程序中利用機器學習和深度學習功能。您將獲得文本中提到的數據集、代碼和示例項目的下載鏈接。

內容包括：
- 機器學習和深度學習概念
- Python編程和統計基礎
- 迴歸和邏輯迴歸
- 決策樹
- 模型選擇和交叉驗證
- 聚類分析
- 隨機森林和提升
- 人工神經網絡
- TensorFlow和Keras
- 深度學習超參數
- 卷積神經網絡
- 遞歸神經網絡和長短期記憶

Venkata Reddy Konasani is a data scientist and corporate trainer with experience in credit risk modeling, market response model building, social media analytics, and machine learning and deep learning. He holds a Master's degree in applied statistics and informatics from IIT Bombay.

Shailendra Kadre works at Hewlett Packard and holds a master's degree in mechanical engineering from IIT Delhi. He is the author of two books and numerous articles dealing with business analytics.

Venkata Reddy Konasani是一位資料科學家和企業培訓師，擁有信用風險建模、市場反應模型建立、社交媒體分析以及機器學習和深度學習方面的經驗。他在印度理工學院孟買分校獲得應用統計和資訊學碩士學位。

Shailendra Kadre在惠普公司工作，擁有印度理工學院德里分校的機械工程碩士學位。他是兩本書的作者，並發表了許多有關商業分析的文章。