Practical Machine Learning with Python A Problem-Solver's Guide to Building Real-World Intelligent Systems /

• Main Authors: Sarkar, Dipanjan (Author, http://id.loc.gov/vocabulary/relators/aut), Bali, Raghav (http://id.loc.gov/vocabulary/relators/aut), Sharma, Tushar (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berkeley, CA : Apress : Imprint: Apress, 2018.
• Edition: 1st ed. 2018.
• Subjects: Artificial intelligence.; Python (Computer program language).; Open source software.; Computer programming.; Artificial Intelligence.; Python.; Open Source.

Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to becom...

Table of Contents:

• Chapter 1: Machine Learning Basics
• Chapter 2: The Python Machine Learning Ecosystem
• Chapter 3: Processing, Wrangling and Visualizing Data.-Chapter 4: Feature Engineering and Selection
• Chapter 5: Building, Tuning and Deploying Models.-Chapter 6: Analyzing Bike Sharing Trends
• Chapter 7: Analyzing Movie Reviews Sentiment
• Chapter 8: Customer Segmentation and Effective Cross Selling
• Chapter 9: Analyzing Wine Types and Quality
• Chapter 10: Analyzing Music Trends and Recommendations
• Chapter 11: Forecasting Stock and Commodity Prices
• Chapter 12: Deep Learning for Computer Vision.