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Learner Reviews & Feedback for Calculus for Machine Learning and Data Science by DeepLearning.AI
731 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 - 152 of 152 Reviews for Calculus for Machine Learning and Data Science
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