ML Maths Basics
Understand linear algebra, probability, and calculus concepts used in ML.
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After this skill you can…
- Manipulate vectors and matrices
- Understand gradient descent intuitively
- Apply Bayes' theorem and basic probability
Watch (10 videos)
The Test Is Right 99% of the Time
→ Understand the concept of base rate→ Apply statistical reasoning to real-world problems
Quant Interview Question #quant
→ Calculate probabilities in a random walk→ Apply stochastic processes to solve problems
Happy & Sad
→ Understand basic machine learning concepts→ Apply mathematical concepts to AI
The Pareto Distribution - The Mean Is Finite, The Variance Is Infinite
→ Understand probability distributions→ Compute running averages and standard deviations
Quant Interview Question #quant
→ Calculate probabilities→ Apply statistical concepts
Professional PDF Reports with Matplotlib in Python
→ Create data visualizations→ Generate PDF reports
Unlimited OCR in 6 mins!
→ Understand the mathematical foundations of Unlimited OCR→ Apply model optimization techniques for improved performance
Will I get a job if I learn data science? | Codegnan | SumanTV Information
→ Understand machine learning concepts→ Apply machine learning algorithms→ Evaluate machine learning models
Machine Learning with Rust and Candle: Part 3
→ Build VAE models→ Generate images with VAEs→ Understand Candle library basics
Inferring Unobserved Trajectories from Multiple Temporal Snapshots
→ Understand statistical inference→ Apply mathematical modeling→ Analyze data distributions
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