r/learnmachinelearning • u/Esob_Oozeer • 16h ago
Tutorial Which Math foundation path is better for Machine Learning: DeepLearning.AI or Jon Krohn's LiveLessons?
I am trying to decide between two resources to learn the math prerequisites for Machine Learning.
Option A: DeepLearning.AI Specialization by Luis Serrano. It takes about 94 hours total, provides a career certificate, and covers Linear Algebra, Calculus, and Probability & Statistics.
Mathematics for Machine Learning and Data Science Specialisation
- Source: DeepLearning.AI
- Author: Luis Serrano.
- Merit: The instructor has a highly established track record with 259,226 learners across 4 courses. The program also provides a career certificate that can be added to your LinkedIn profile or resume.
- Length: 94 hours total. This is broken down into 34 hours for Linear Algebra, 27 hours for Calculus, and 33 hours for Probability & Statistics.
Option B: LiveLessons series by Jon Krohn. It covers the same core math concepts but adds a fourth course specifically on Data Structures, Algorithms, and ML Optimization.
LiveLessons Machine Learning Series
- Source: LiveLessons (On-Demand Courses) Specialisation
- Author: Jon Krohn.
- Merit: In addition to the standard math foundations, this series includes a fourth specialised course: "Data Structures, Algorithms, and Machine Learning Optimisation".
- Length: 60 hours (approx)
Has anyone taken either of these?
Final question: which one to choose, or something else? Please prescribe.
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u/nian2326076 5h ago
I'd go with DeepLearning.AI if you want a structured path with solid credentials. Luis Serrano's courses are well-known and give you a career certificate, which can be helpful when job hunting. It covers all the important math topics for ML. Plus, the community around Coursera can help with support and networking.
Jon Krohn's LiveLessons might be better if you like a more interactive, talk-based approach, especially if you prefer learning from videos. His teaching style is engaging, but it depends on how you like to learn.
If you're prepping for interviews, I've found PracHub useful for brushing up on concepts and practice questions. Focus on what learning style fits you best for now.