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

4.8
stars
749 ratings

About the Course

Newly updated for 2024! Mathematics for Machine Learning and Data Science is a foundational online program created by DeepLearning.AI and taught by Luis Serrano. In machine learning, you apply math concepts through programming. And so, in this specialization, you’ll apply the math concepts you learn using Python programming in hands-on lab exercises. As a learner in this program, you'll need basic to intermediate Python programming skills to be successful. 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 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 visualizations to help you see how the math behind machine learning actually works.  We recommend you have a high school level of mathematics (functions, basic algebra) and familiarity with programming (data structures, loops, functions, conditional statements, debugging). Assignments and labs are written in Python but the course introduces all the machine learning libraries you’ll use....

Top reviews

AA

Sep 15, 2024

this course is perfect and its also a necessary step in learning machine learning it helped me learn how calculus affects on optimization and how I can implement them using python

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

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151 - 156 of 156 Reviews for Calculus for Machine Learning and Data Science

By Daniel K

•

Apr 14, 2024

too easy

By andrew g

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Apr 12, 2024

Not possible without knowing Python 3 already. Went over easy topics too slowly and harder topics too quickly. Barely talking about ML so I'm still not sure how much of this relate.

By Ehsan s

•

May 27, 2024

better than linear algebra course.

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

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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