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The perfect book for beginners wanting to learn about hypothesis testing & statistical significance! Best-selling IT & mathematics author Arthur Taff presents a leading book for beginners to learn and understand hypothesis testing - specifically statistical significance. Statistical significance is a way of determining if an outcome occurred by random chance, or if something caused that outcome to be different than the expected baseline.

Perfect for beginners wanting to learn about Bayes Theorem through real examples! What if you could quickly and easily learn Bayesian data analysis without complex textbooks and statistics classes? Imagine being able to apply your newly learned theory to real life situations! If you are a person that learns by example, then this audiobook is perfect for you! It is a very important topic in a wide range of industries - so dive in to get a deep understanding!

Multi-time best-selling IT and mathematics author Arthur Taff presents a leading audiobook for beginners to learn and understand probability concepts such as permutations and combinations. Learning about probability with combinations and permutations gives you a competitive edge in any field. Whether it's poker, horse racing, weather forecasting, playing the lottery, general mathematics, or virtually any other field where odds need to be determined - this audiobook will help you succeed!

Learn how to use data analytics to improve efficiencies, accelerate growth, and increase sales (even if you know nothing)!

Multi-time best-selling information technology and mathematics author Edward Mize presents the perfect introduction to machine learning for any beginner. With books and a blog that receives tens of thousands of fans monthly, Edward has compiled the most practical and high-level introduction to the components and statistical concepts found in machine learning. Well-known and incredibly popular for his ability to teach complex topics in an easy-to-understand way, Edward uses plain-English explanations, so you can learn and implement machine learning.