Computer Science Basics: Algorithms
2:30
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Computer Science Basics: Algorithms
We use computers every day, but how often do we stop and think, “How do they do what they do?” This video series explains some of the core concepts behind computer science. To view the entire playlist, visit https://www.youtube.com/playlist?list=PLpQQipWcxwt-Q9izCl0mm-QZ4seuBdUtr. We hope you enjoy!
695.5K viewsOct 3, 2018
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My ranking of the top 26 algorithms for practical data science, breaking down their strengths, quirks, and when (or if) you should use them. Algorithm List: Latent Dirichlet Allocation, GANs, Boruta, Hierarchical Clustering, RNN/LSTMs, CART, PPO, Prophet, SVM, Isolation Forest, Autoencoders, T-SNE, ARIMA, Naive Bayes, CNNs, kNN, UMAP, HDBSCAN, PCA, Neural Networks, Linear Regression, KMeans, Random Forest, Logistic Regression, Transformers, Gradient Boosting.
1:55
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My ranking of the top 26 algorithms for practical data science, breaking down their
rajistics
6 Important Types of Algorithms
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6 Important Types of Algorithms
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