Все публикации

Differential & Integral Calculus (Calculus for Data Science) - A Calculus 1 view of Gradient Descent

Differential & Integral Calculus (Calculus for Data Science) - Gradient Descent Part 1

Differential & Integral Calculus (Calculus for Data Science) - Setting Up Jupyter for Julia

Differential & Integral Calculus (Calculus for Data Science) - Lecture 3 1

Differential & Integral Calculus (Calculus for Data Science) - Lecture 2

Differential & Integral Calculus (Calculus for Data Science) - Introducing Limits

Data Science and Machine Learning - Reinforcement Learning

Discrete Mathematical Structures (Spring 2022) - Computational Complexity

Discrete Mathematical Structures Spring 2022 Big O Notation

Data Science and Machine Learning - Lecture 10.1 - K-Means Clustering

Data Science and Machine Learning - Lecture 10.2 - Principal Component Analysis

Discrete Mathematical Structures (Spring 2022) - Lecture 15 - Big O Notation

Calculus 1 (Spring 2022) - Lecture 16 - Antiderivatives and the Indefinite Integral

Data Science and Machine Learning - Lecture 9.2 - Boosting

Discrete Mathematical Structures (Spring 2022) - Lecture 14 - Introduction to Algorithms Part 2

Data Science and Machine Learning - Lecture 9.1 - Ensemble Methods and Random Forests

Discrete Mathematical Structures (Spring 2022) - Lecture 13 - Introduction to Algorithms

Data Science and Machine Learning (Lecture 8.2) - Regression Trees

Data Science and Machine Learning (Lecture 8.1) - Decision Trees

Calculus 1 (Spring 2022) - Lecture 15 - Limits at Infinity

Calculus 1 (Spring 22) - Lecture 14 - Concavity and the Second Derivative Test

Calculus 1 (Spring 2022) - Lecture 13 - Increasing Functions and the First Derivative Test

Discrete Mathematical Structures (Spring 2022) - Exam Review Part 2

Discrete Mathematical Structures (Spring 2022) - Exam 1 Review Part 1