This document provides concise visual explanations of various math and data science concepts in one picture each. These concepts include deep learning vs machine learning, traditional programming vs machine learning, p tests, support vector machines, logistic regression, regression analysis, naive bayes, bayes theorem, statistics and machine learning, correlation coefficients, r-square metrics, evaluation metrics, type 1 and 2 errors, comparing and ensemble datasets, parametric and non-parametric analyses, determining sample size, ROC curves, z-tests and t-tests, ANOVA, predictive analytics, time series methods, cross validation, confidence intervals, unsupervised learning, KNN, number of clusters selection, AB testing, EM algorithm, and number representation systems.

2. Math for Data Science

3. Deep learning vs Machine learning in One Picture

5. Traditional Programming vs ML in One Picture

16. P Test in One
Picture

19. SVM in One Picture

20. Assumption of Logistic Regression
in One Picture

21. Logistic Regression in One Picture

22. Regression Analysis in One Picture

23. Naïve Bayes in One Picture

24. Bayes Theorem in One Picture

25. Statistics and Machine learning
In One Picture

28. Correlation Coefficients in One Picture

29. R-Square metrics in One Picture

30. Evaluation metrics in One Picture

31. Type-I and Type-II in One Picture

32. Comparing Dataset in One Picture

33. Ensemble Dataset in One Picture

34. Parametric and Non-Parametric in One Picture

35. Determining Sample Size in One Picture

36. ROC CURVE in One Picture

37. Z-test and T-test in One Picture

38. Anova in One Picture

39. Predictive Analytics in One Picture

40. Time Series Method in One Picture

41. Cross Validation in One Picture

42. Confidence Interval in One Picture

43. Unsupervised Learning in One Picture

44. KNN in One Picture

45. Number of Clusters Selection
Method in One Picture

46. AB Testing in One Picture

47. EM Algorithm in One Picture

48. EM Algorithm in One Picture

49. EM Algorithm in One Picture

50. Number Representation Systems
in One Picture