beginner 32
- ⚙️ Optimization in Machine Learning: From Gradient Descent to Newton’s Method
- 🔺 What is the Hessian? Understanding Curvature and Optimization in Machine Learning
- Understanding the Jacobian – A Beginner’s Guide with 2D & 3D Examples
- 🔍 What is a Derivative? (Beginner’s Guide to Calculus for ML)
- 🔁 From Limits to Smoothness: Transformations, Limits, Continuity & Differentiability
- 🌄 Visualizing Multivariable Functions: Contour Plots, Vector-Valued Functions & Vector Fields (Beginner's Guide)
- 🧮 Understanding Functions: The Foundation of Calculus (and Machine Learning!)
- Sampling Distribution of the Sample Proportion
- Population, Sample, and Sampling Distributions Explained
- Understanding the Sampling Distribution of the Sample Mean and the Central Limit Theorem
- From Sample to Population: Basics of Sampling in Statistics
- Understanding Binomial Distribution
- Understanding Z-Distribution and Using the Z-Table
- Understanding Normal Distribution
- Mean, Variance, and Standard Deviation of Random Variables
- What Are Random Variables and How Do We Visualize Their Distributions?
- Understanding Independence and Bayes’ Rule
- Making Sense of Probabilities: Union, Tables, and Conditional Thinking
- How Random Is Random? Understanding Probability and Events
- Regression: Predicting Relationships Between Variables with the Best Fit Line
- Pearson’s r: Measuring the Strength and Direction of Linear Relationships
- Conditional vs. Marginal Proportions: What’s the Difference?
- Correlation Between Variables: Contingency Tables and Scatter Plots
- Bringing It All Together: A Real-World Stats Example
- Z-Score: Comparing Values Using Standardization
- Measuring Variability: Variance and Standard Deviation
- Understanding Dispersion: Range, IQR, and the Box Plot
- Measuring the Center: Mean, Median, and Mode Explained
- How to Build Frequency Tables in Python (With Charts)
- Choosing the Right Graph: How to Visualize Your Data in Statistics
- From Raw Data to Insight: Cases, Variables, and Frequency Tables
- Descriptive vs Inferential Statistics – A Simple Start