Data pipelines are the foundation for success in data analytics. Moving data from numerous diverse sources and transforming it to provide context is the difference between having data and actually gaining va...

Avoid data blunders and create truly useful visualizationsAvoiding Data Pitfallsis a reputation-saving handbook for those who work with data, designed to help you avoid the all-too-common blunders that occur...

The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks

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 applic...

Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, machine translation, AI games, driverless cars, and other applications. When we use c...

Data science fundamentals for Python and MongoDB

Mining Social Media-Finding Stories in Internet Data

Data analytics may seem daunting, but if you're an experienced Excel user, you have a unique head start. With this hands-on guide, intermediate Excel users will gain a solid understanding of analytics an...