Essential Math For Data Science: Take Control Of Your With Fundamental Linear Algebra Probability And Statistics Thomas Nield O&Apos Reilly Media

To Succeed In Data Science You Need Some Math Proficiency But Not Just Any This Common-Sense Guide Provides A Clear Plain English Survey Of The You\ Ll Including Probability Statistics Hypothesis Testing Linear Algebra Machine Learning And Calculus Practical Examples With Python Code Will Help See How Applies Work Be Doing Providing Understanding Concepts Under Hood While Connecting Them Applications Like Get Solid Foundation Essential For More Importantly Able Use It To: Recognize Nuances Pitfalls Master (And Avoid Common Pitfalls) Discover Intuitively Understand As Transformation Space Grids Numbers Being Multiplied Added Perform Derivatives Integrals Completely From Scratch Apply What Ve Learned Regression Logistic Neural Networks Σελίδες: 350