• Use Python and its wide array of machine learning libraries to build predictive models
• Learn the basics of the 7 most widely used machine learning algorithms within a week
• Know...

• Use the power of Pandas and Matplotlib to easily solve data mining issues
• Understand the basics of statistics to build powerful predictive data...

If you are ready to dive into the MapReduce framework for processing large datasets, this practical book takes you step by step through the algorithms and tools you need to build distributed MapReduce applications with Apache Hadoop or Apache Spark. Each chapter provides a recipe for solving a massive computational problem, such as...

• Explore statistics and complex mathematics for data-intensive applications
• Discover new developments in EM algorithm, PCA, and bayesian...

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from...

After college I went to work for Intel in California and mainland China. Originally my plan was to go back to grad school after two years, but time flies when you are having fun, and two years turned into six. I realized I had to go back at that point, and I didn’t want to do night school or online learning, I wanted to sit on...