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Zero maths assumed — to random forests, SVMs and neural nets
Not yet ratedA full university-level ML curriculum for people with no programming or maths background. Builds the required mathematics from arithmetic upward, then covers preprocessing, every major supervised and unsupervised algorithm, deep learning, model evaluation, and applications across RNA-seq, GWAS, drug discovery and digital pathology.
2 chapters are free to read. The remaining 80 unlock with a subscription.
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This course hasn't been rated yet. If you've read a chapter, yours would be the first — it genuinely helps other biologists decide where to start.
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