This book uses both best of breed open source software and the author's own libraries to introduce the reader to Artificial Intelligence (AI) technologies like genetic algorithms, neural networks, expert systems, machine learning, and statistical natural language processing (NLP)

According to research by Daniel Goleman, emotional intelligence has proved to be twice as important as other competencies in determining outstanding leadership. It is now one of the crucial criteria in hiring and promotion processes, performance evaluations, and professional development courses. And it's not innate--it's a skill that all of us can improve.

Building an analysis ecosystem for a smarter approach to intelligence

You need confidence to inspire trust, communicate effectively, and succeed in your organization. But self-doubt and nerves can undermine your ability to act decisively and persuade others. What can you do to push past these insecurities?

Research by Daniel Goleman, a psychologist and coauthor of Primal Leadership, has shown that emotional intelligence is a more powerful determinant of good leadership than technical competence, IQ, or vision.

The book Inc. magazine calls one of "the best, clearest guides to the numbers" on the market.

Artificial intelligence does the seemingly impossible, magically bringing machines to life--driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many analysts either cower in fear or predict an impossibly sunny future.

The long-anticipated revision of this #1 selling book offers the most comprehensive, state of the art introduction to the theory and practice of artificial intelligence for modern applications.

Big Data Analytics for Sensor-Network Collected Intelligence explores state-of-the-art methods for using advanced ICT technologies to perform intelligent analysis on sensor collected data. The book shows how to develop systems that automatically detect natural and human-made events, how to examine people’s behaviors, and how to unobtrusively provide better services.

This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks.