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Predictive Analytics For Dummies
Anasse Bari
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Description for Predictive Analytics For Dummies
Paperback. Use Big Data and technology to uncover real-world insights 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. Num Pages: 456 pages, illustrations. BIC Classification: PBWH. Category: (P) Professional & Vocational. Dimension: 190 x 237 x 27. Weight in Grams: 604.
Use Big Data and technology to uncover real-world insights 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 ... Read more
Use Big Data and technology to uncover real-world insights 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 ... Read more
Product Details
Publisher
John Wiley & Sons Inc
Format
Paperback
Publication date
2016
Condition
New
Number of Pages
456
Place of Publication
New York, United States
ISBN
9781119267003
SKU
V9781119267003
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-1
About Anasse Bari
Anasse Bari, Ph.D. is data science expert and a university professor who has many years of predictive modeling and data analytics experience. Mohamed Chaouchi is a veteran software engineer who has conducted extensive research using data mining methods. Tommy Jung is a software engineer with expertise in enterprise web applications and analytics.
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