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Learner Reviews & Feedback for Calculus for Machine Learning and Data Science by DeepLearning.AI

4.8
stars
587 ratings

About the Course

After completing this course, learners will be able to: • Analytically optimize different types of functions commonly used in machine learning using properties of derivatives and gradients • Approximately optimize different types of functions commonly used in machine learning using first-order (gradient descent) and second-order (Newton’s method) iterative methods • Visually interpret differentiation of different types of functions commonly used in machine learning • Perform gradient descent in neural networks with different activation and cost functions Mathematics for Machine Learning and Data science is a foundational online program created by DeepLearning.AI and taught by Luis Serrano. This beginner-friendly program is where you’ll master the fundamental mathematics toolkit of machine learning. Many machine learning engineers and data scientists need help with mathematics, and even experienced practitioners can feel held back by a lack of math skills. This Specialization uses innovative pedagogy in mathematics to help you learn quickly and intuitively, with courses that use easy-to-follow plugins and visualizations to help you see how the math behind machine learning actually works. Upon completion, you’ll understand the mathematics behind all the most common algorithms and data analysis techniques — plus the know-how to incorporate them into your machine learning career. This is a beginner-friendly program, with a recommended background of at least high school mathematics (functions, basic algebra). We also recommend a basic familiarity with Python (loops, functions, if/else statements, lists/dictionaries, importing libraries) , as labs use Python and Jupyter Notebooks to demonstrate learning objectives in the environment where they’re most applicable to machine learning and data science....

Top reviews

MS

Aug 29, 2023

very good courses. The material is quite deep and difficult, but can be conveyed so that it is easy to understand. The lab is also very helpful to better understand the concept

AK

Feb 26, 2024

Enjoyed learning calculus from prof. Serrano. I mostly enjoyed the programing exercises, I wish this is how it was taught to us in school. But better late than never.

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126 - 128 of 128 Reviews for Calculus for Machine Learning and Data Science

By Omar A B

•

Apr 30, 2023

the single start is definitely more than this course deserves, the specialization should be Titled Math for elementary school or for Kids. the explanation is soo naive and topics are not well covered! please Do NOT waste your TIME going through This course as the overall gain is almost ~0.000001

By Michael S

•

Nov 18, 2023

this is defenitly not helping beginners , topics are not covered in an easy way , labs are a complete nightmare , defenitly made me hate machine learning , not help me understand it

By Chawanwat J

•

Sep 10, 2023

Cancel lab please, It's too complicated and has a lot of unclear questions