Data Science Decoded

Data Science #21 - Steps Toward Artificial Intelligence (1961)

Data Science TLDR 11 - "Benchmarking Uncertainty Disentanglement" (2024)

Data Science #20 - The Cramér–Rao bound paper (1945)

Data Science #19 - The Kullback–Leibler divergence paper (1951)

Data Science #18 - The k-nearest neighbors algorithm (1951)

Data Science TLDR 10- "Efficient infinite context transformers with infini-attention" (2024)

Data Science #17 - The Monte Carlo Algorithm (1949)

Data Science TLDR 9- "Learning to Compress: Local Rank and Information Compression in DNN's" (2024)

Data Science #16 - The First Stochastic Descent Algorithm (1952)

Data Science TLDR 8 - "MLE-bench: Evaluating ML Agents on Machine Learning Engineering" (2024)

Data Science TLDR 7 - "Liquid time-constant networks"

Data Science #15 - The First Decision Tree Algorithm (1963)