Linking pages
- data-science-career/README.md at master · firmai/data-science-career · GitHub https://github.com/firmai/data-science-career/blob/master/README.md 4 comments
- GitHub - rbhatia46/Data-Science-Interview-Resources: A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently. https://github.com/rbhatia46/Data-Science-Interview-Resources 1 comment
- GitHub - andrewekhalel/MLQuestions: Machine Learning and Computer Vision Engineer - Technical Interview Questions https://github.com/andrewekhalel/MLQuestions 0 comments
- GitHub - ujjwalkarn/Machine-Learning-Tutorials: machine learning and deep learning tutorials, articles and other resources https://github.com/ujjwalkarn/Machine-Learning-Tutorials 0 comments
- GitHub - onmyway133/awesome-machine-learning: 🎰 A curated list of machine learning resources, preferably CoreML https://github.com/onmyway133/fantastic-machine-learning/blob/master/README.md#blogs 0 comments
Linked pages
- An Interactive Guide To The Fourier Transform – BetterExplained https://betterexplained.com/articles/an-interactive-guide-to-the-fourier-transform/ 298 comments
- [2005.14165] Language Models are Few-Shot Learners https://arxiv.org/abs/2005.14165 201 comments
- WebSequenceDiagrams - Draw sequence diagrams online in seconds http://www.websequencediagrams.com/ 43 comments
- Find Open Datasets and Machine Learning Projects | Kaggle https://www.kaggle.com/datasets 36 comments
- Fourier transform - Wikipedia http://en.wikipedia.org/wiki/Fourier_transform 36 comments
- Type I and type II errors - Wikipedia http://en.wikipedia.org/wiki/Type_I_and_type_II_errors#Statistical_error 23 comments
- [1611.09347] Quantum Machine Learning https://arxiv.org/abs/1611.09347 14 comments
- Precision and recall - Wikipedia https://en.wikipedia.org/wiki/Precision_and_recall 12 comments
- http://www.quandl.com/ 11 comments
- Mastering the game of Go with deep neural networks and tree search | Nature http://www.nature.com/nature/journal/v529/n7587/full/nature16961.html 6 comments
- An Intuitive (and Short) Explanation of Bayes’ Theorem – BetterExplained http://betterexplained.com/articles/an-intuitive-and-short-explanation-of-bayes-theorem/ 6 comments
- Hash table - Wikipedia https://en.wikipedia.org/wiki/Hash_table 3 comments
- data structures - Array versus linked-list - Stack Overflow http://stackoverflow.com/questions/166884/array-vs-linked-list 2 comments
- GitHub - openai/gpt-3: GPT-3: Language Models are Few-Shot Learners https://github.com/openai/gpt-3 2 comments
- Netflix Prize - Wikipedia https://en.wikipedia.org/wiki/Netflix_Prize 1 comment
- reCAPTCHA https://www.google.com/recaptcha/ 1 comment
- terminology - What is the difference between "likelihood" and "probability"? - Cross Validated https://stats.stackexchange.com/questions/2641/what-is-the-difference-between-likelihood-and-probability 1 comment
- 8 Tactics to Combat Imbalanced Classes in Your Machine Learning Dataset - MachineLearningMastery.com https://machinelearningmastery.com/tactics-to-combat-imbalanced-classes-in-your-machine-learning-dataset/ 0 comments
- How a Machine Learning Algorithm Helped Make Hurricane Damage Assessments Safer, Cheaper, and More Effective https://learn.springboard.com/school-of-data/white-paper/how-a-machine-learning-algorithm-helped-make-hurricane-damage-assessments-safer-cheaper-and-more-effective/ 0 comments
- http://www.cs.toronto.edu/~hinton/absps/NatureDeepReview.pdf 0 comments
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