- Glossary of Machine Learning Terminology by Google https://developers.google.com/machine-learning/glossary/ 3 comments learnmachinelearning
Linking pages
- GitHub - google-research/tuning_playbook: A playbook for systematically maximizing the performance of deep learning models. https://github.com/google-research/tuning_playbook 20 comments
- Setting Fairness Goals with the TensorFlow Constrained Optimization Library – Google AI Blog http://ai.googleblog.com/2020/02/setting-fairness-goals-with-tensorflow.html 14 comments
- TensorFlow 2 quickstart for beginners | TensorFlow Core https://www.tensorflow.org/beta/tutorials/quickstart/beginner 9 comments
- swift-evolution/0253-callable.md at main · apple/swift-evolution · GitHub https://github.com/apple/swift-evolution/blob/master/proposals/0253-callable.md 7 comments
- Intro to Autoencoders | TensorFlow Core https://www.tensorflow.org/tutorials/generative/autoencoder 5 comments
- 10 Useful AI & ML Slides | AISOMA - Herstellerneutrale KI-Beratung https://www.aisoma.de/10-useful-ai-ml-slides/ 5 comments
- Dear AI, can you translate the Rails Guide for me? - DEV Community https://dev.to/kevinluo201/dear-ai-can-you-translate-the-rails-guide-for-me-3hc 5 comments
- 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
- Turn your raw data into a machine learning model without Python or SQL | Google Cloud Blog https://cloud.google.com/blog/products/ai-machine-learning/from-raw-data-to-machine-learning-model-no-coding-required 3 comments
- Classify structured data with feature columns | TensorFlow Core https://www.tensorflow.org/tutorials/structured_data/feature_columns 3 comments
- Model training walkthrough | Swift for TensorFlow https://www.tensorflow.org/swift/tutorials/model_training_walkthrough 2 comments
- Basic classification: Classify images of clothing | TensorFlow Core https://www.tensorflow.org/tutorials/keras/classification 2 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
- How I Passed the Google Cloud Professional Data Engineer Certification Exam | by Daniel Bourke | Towards Data Science https://towardsdatascience.com/passing-the-google-cloud-professional-data-engineer-certification-87da9908b333 1 comment
- Google Cloud Professional Machine Learning Engineer Prep in 2023 | GCP | Medium https://medium.com/@matrixdev/google-cloud-professional-machine-learning-engineer-prep-in-2023-1d290b714484 1 comment
- GitHub - amrzv/awesome-colab-notebooks: Collection of google colaboratory notebooks for fast and easy experiments https://github.com/amrzv/awesome-colab-notebooks 0 comments
- 35 Best Free Resources To Learn Machine Learning https://www.theinsaneapp.com/2021/11/machine-learning-algorithms-and-neural-networks-visualization.html 0 comments
- ML-fairness-gym: A Tool for Exploring Long-Term Impacts of Machine Learning Systems – Google AI Blog https://ai.googleblog.com/2020/02/ml-fairness-gym-tool-for-exploring-long.html 0 comments
- Massively Large-Scale Distributed Reinforcement Learning with Menger – Google AI Blog https://ai.googleblog.com/2020/10/massively-large-scale-distributed.html 0 comments
- TensorFlow.js and Machine Learning in JavaScript with Suz and Nick featuring Paige Bailey (JS Party #64) |> Changelog https://changelog.com/jsparty/64 0 comments
Linked pages
- DALL·E: Creating Images from Text https://openai.com/blog/dall-e/ 461 comments
- A Neural Network Playground http://playground.tensorflow.org/#activation=tanh&batchSize=10&dataset=circle®Dataset=reg-plane&learningRate=0.03®ularizationRate=0&noise=0&networkShape=4,2&seed=0.44309&showTestData=false&discretize=false&percTrainData=50&x=true&y=true&xTimesY=false&xSquared=false&ySquared=false&cosX=false&sinX=false&cosY=false&sinY=false&collectStats=false&problem=classification&initZero=false&hideText=false 235 comments
- Attack discrimination with smarter machine learning http://research.google.com/bigpicture/attacking-discrimination-in-ml/ 173 comments
- LaMDA: our breakthrough conversation technology https://blog.google/technology/ai/lamda/ 149 comments
- Google Developers http://developers.google.com 109 comments
- Federated Learning https://federated.withgoogle.com/ 76 comments
- OpenAI https://openai.com/ 67 comments
- Keras: the Python deep learning API https://keras.io 46 comments
- ALBERT: A Lite BERT for Self-Supervised Learning of Language Representations – Google AI Blog https://ai.googleblog.com/2019/12/albert-lite-bert-for-self-supervised.html 45 comments
- Locality-sensitive hashing - Wikipedia https://en.wikipedia.org/wiki/Locality-sensitive_hashing 40 comments
- Language-Agnostic BERT Sentence Embedding – Google AI Blog https://ai.googleblog.com/2020/08/language-agnostic-bert-sentence.html 35 comments
- Taxicab geometry - Wikipedia https://en.wikipedia.org/wiki/Taxicab_geometry 34 comments
- pandas - Python Data Analysis Library http://pandas.pydata.org/ 34 comments
- Protocol Buffers | Google Developers https://developers.google.com/protocol-buffers/ 34 comments
- Euclidean distance - Wikipedia http://en.wikipedia.org/wiki/Euclidean_distance 33 comments
- NumPy https://numpy.org 16 comments
- scikit-learn: machine learning in Python — scikit-learn 0.16.1 documentation http://scikit-learn.org/ 13 comments
- Cartesian product - Wikipedia https://en.wikipedia.org/wiki/Cartesian_product#Infinite_products 10 comments
- [1406.2661] Generative Adversarial Networks https://arxiv.org/abs/1406.2661 7 comments
- An Intuitive (and Short) Explanation of Bayes’ Theorem – BetterExplained http://betterexplained.com/articles/an-intuitive-and-short-explanation-of-bayes-theorem/ 6 comments
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