Hands-On Data Science and Python Machine Learning
Perform data mining and machine learning efficiently using Python and Spark
1st Edition
Published on 3. June 2024
420 pages
978-1-78728-022-9 (ISBN)
Description
No detailed description available for "Hands-On Data Science and Python Machine Learning".
More details
Person
Kane Frank :
Frank Kane has spent nine years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers all the time. He holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology and teaches others about big data analysis.
Frank Kane has spent nine years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers all the time. He holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology and teaches others about big data analysis.
Content
Table of Contents - Getting Started
- Statistics and Probability Refresher and Python Practice
- Matplotlib and Advanced Probability Concepts
- Predictive Models
- Machine Learning with Python
- Recommender Systems
- More Data Mining and Machine Learning Techniques
- Dealing with Real-World Data
- Apache Spark: Machine Learning on Big Data
- Testing and Experimental Design
- Statistics and Probability Refresher and Python Practice
- Matplotlib and Advanced Probability Concepts
- Predictive Models
- Machine Learning with Python
- Recommender Systems
- More Data Mining and Machine Learning Techniques
- Dealing with Real-World Data
- Apache Spark: Machine Learning on Big Data
- Testing and Experimental Design
