Kickstart Machine Learning, understand maths behind essential algorithms, implement them in python & build 8+ projects!
InstructorMohit Uniyal
Editorial course preview
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A white slide titled ML Techniques from scratch lists algorithms such as Linear Regression and Neural Networks beside a laptop displaying code
A course slide titled Course Projects lists eight machine learning tasks beside a white humanoid robot and a small presenter overlay.
Course slide outlining fundamental machine learning problems, categorizing supervised and unsupervised learning methods with a presenter overlay.
Course slide listing machine learning topics such as Convex Optimisation and Bias Variance Tradeoff, featuring a robot image and presenter inset.
The curriculum includes specific lessons for implementing algorithms from scratch, such as Gradient Descent and Logistic Regression training loops.
Lessons cover essential mathematical concepts including Loss/Error Functions and Bayes Theorem derivation.
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The curriculum aligns with the stated goals of programmers and students interested in machine learning fundamentals.