Udemy – Math 0-1: Calculus for Data Science & Machine Learning 2025-2

Udemy – Math 0-1: Calculus for Data Science & Machine Learning 2025-2 Downloadly IRSpace

Apr 17, 2025 - 11:57 Updated: Apr 20, 2025 - 22:03

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$Udemy – Math 0-1: Calculus for Data Science & Machine Learning 2025-2$

Udemy – Math 0-1: Calculus for Data Science & Machine Learning 2025-2

Math 0-1: Calculus for Data Science & Machine Learning, Common scenario: You try to get into machine learning and data science, but there’s SO MUCH MATH. Calculus is one of the most important math prerequisites for machine learning. It’s required to understand probability and statistics, which form the foundation of data science. Backpropagation, the learning algorithm behind deep learning and neural networks, is really just calculus with a fancy name. If you want to do machine learning beyond just copying library code from blogs and tutorials, you must know calculus. Normally, calculus is split into 3 courses, which takes about 1.5 years to complete.

Luckily, I’ve refined these teachings into just the essentials, so that you can learn everything you need to know on the scale of hours instead of years. This course will cover Calculus 1 (limits, derivatives, and the most important derivative rules), Calculus 2 (integration), and Calculus 3 (vector calculus). It will even include machine learning-focused material you wouldn’t normally see in a regular college course. We will even demonstrate many of the concepts in this course using the Python programming language (don’t worry, you don’t need to know Python for this course). In other words, instead of the dry old college version of calculus, this course takes just the most practical and impactful topics, and provides you with skills directly applicable to machine learning and data science, so you can start applying them today.

What you’ll learn

Limits, limit definition of derivative, derivatives from first principles
Derivative rules (chain rule, product rule, quotient rule, implicit differentiation)
Integration, area under curve, fundamental theorem of calculus
Vector calculus, partial derivatives, gradient, Jacobian, Hessian, steepest ascent
Optimize (maximize or minimize) a function
l’Hopital’s Rule
Newton’s Method

Who this course is for

Anyone who wants to learn calculus quickly
Students and professionals interested in machine learning and data science but who’ve gotten stuck on the math

Specificatoin of Math 0-1: Calculus for Data Science & Machine Learning

Publisher: Udemy
Teacher: Lazy Programmer Inc. , Lazy Programmer Team
Language: English
Level: Beginner
Number of Course: 85
Duration: 14 hours and 27 minutes

Content

$Math 0-1: Calculus for Data Science & Machine Learning$

Requirements

Firm understanding of high school math

Pictures

$Math 0-1: Calculus for Data Science & Machine Learning$

Sample Clip

Installation Guide

Extract the files and watch with your favorite player

Subtitle: English

Quality: 720p

Changes:

Version 2023/8 compared to 2023/2 has increased the number of 14 lessons and the duration of 2 hours and 17 minutes. English subtitles have also been added to the course.

Version 2025/2 compared to 2023/8 has increased the number of 4 lessons and the duration of 31 minutes.

Udemy – Math 0-1: Calculus for Data Science & Machine Learning 2025-2