Math 0-1: Calculus for Data Science

Overview

Ever felt overwhelmed by the amount of math involved in machine learning and data science? Worry not, because this online course is designed to teach you the essentials of calculus, a key prerequisite, in a much shorter time frame than traditional college courses. The course covers Calculus 1 (limits, derivatives, and derivative rules), Calculus 2 (integration), and Calculus 3 (vector calculus), with a focus on the most practical and impactful aspects that are applicable to machine learning and data science.

What sets this course apart is that it also includes machine learning-specific material not commonly found in regular college courses. And the cherry on top? The concepts are demonstrated using the Python programming language, making them even more relevant to the field. Don’t worry if you’re not familiar with Python, as prior knowledge is not necessary. Just come prepared with a firm understanding of high school math (functions, algebra, and trigonometry) and get ready to dive into the world of calculus for machine learning and data science!

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Skills you’ll learn

1. Understanding of calculus fundamentals (limits, derivatives, and integration)
2. Familiarity with vector calculus
3. Application of calculus principles in machine learning
4. Strong foundation in probability and statistics
5. Insight into backpropagation and neural networks
6. Ability to apply calculus concepts in Python programming
7. Improved problem-solving skills for machine learning and data science
8. Knowledge of practical and impactful calculus topics for real-world applications

Summary

Discover the intriguing world of Calculus in Data Science and Machine Learning, brought to you by the talented Lazy Programmer Inc. team. With a whopping 81 engaging lessons, this course has captivated the minds of 1393 eager students and boasts an impressive 4.8 out of 5-star rating! So, buckle up and get ready to embark on a thrilling mathematical journey that’s sure to enhance your skillset.