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About Anasse Bari
Professor Anasse Bari is a full time faculty member of computer science at New York University. He was previously professor of computer science at George Washington University where he was awarded with the Computer Science Professor of the Year award in 2014 and was recognized by the Carnegie Foundation for his nomination for the United States Professor of the Year Award. He is the co-author of Predictive Analytics for Dummies.
Prof. Bari has recently worked closely with IT leadership of the World Bank Group in Washington DC where he led enterprise data analytics projects. He was the recipient of the World Bank Spot award for his extraordinary efforts in service of the organization in 2013. He has been advising leading Wall Street firms on their data strategy, and he recently played the role of AI advisor for major international organizations in Switzerland.
Prof. Bari is a renowned speaker and his research has been focused on predictive analytics, swarm intelligence, and information retrieval. Dr. Bari was recently interviewed by Forbes Magazine, and was featured at IBT Times and PA Times magazines.
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Books By Anasse Bari
You don't need a time machine to predict the future. All it takes is a little knowledge and know-how, and Predictive Analytics For Dummies gets you there fast. With the help of this friendly guide, you'll discover the core of predictive analytics and get started putting it to use with readily available tools to collect and analyze data. In no time, you'll learn how to incorporate algorithms through data models, identify similarities and relationships in your data, and predict the future through data classification. Along the way, you'll develop a roadmap by preparing your data, creating goals, processing your data, and building a predictive model that will get you stakeholder buy-in.
Big Data has taken the marketplace by storm, and companies are seeking qualified talent to quickly fill positions to analyze the massive amount of data that are being collected each day. If you want to get in on the action and either learn or deepen your understanding of how to use predictive analytics to find real relationships between what you know and what you want to know, everything you need is a page away!
- Offers common use cases to help you get started
- Covers details on modeling, k-means clustering, and more
- Includes information on structuring your data
- Provides tips on outlining business goals and approaches
The future starts today with the help of Predictive Analytics For Dummies.