Weekly Update, Aug 25, 2019

Updates from week of Aug 27, 2019

A lot of NLP related stuff:

• How to code the Transformer in PyTorch: https://blog.floydhub.com/the-transformer-in-pytorch/
• Gensim wordvectors: https://radimrehurek.com/gensim/models/keyedvectors.html
• BERT Tutorial: http://mccormickml.com/2019/05/14/BERT-word-embeddings-tutorial/
• BERT as service: http://mccormickml.com/2019/05/14/BERT-word-embeddings-tutorial/
• Transformers from scratch: http://www.peterbloem.nl/blog/transformers
• NLP from Domino DataLab: https://blog.dominodatalab.com/deep-learning-illustrated-building-natural-language-processing-models/
• NLP from Scratch (Goncalves): https://github.com/dataforscience/nlp
• Best Word & Sentence Embeddings: https://medium.com/huggingface/universal-word-sentence-embeddings-ce48ddc8fc3a
• Universal Sentence Encoder: https://tfhub.dev/google/universal-sentence-encoder/2 and colab: https://colab.research.google.com/github/tensorflow/hub/blob/master/examples/colab/semantic_similarity_with_tf_hub_universal_encoder.ipynb
• Fast Sentence Embeddings: https://towardsdatascience.com/fse-2b1ffa791cf9 and code https://github.com/oborchers/Fast_Sentence_Embeddings
• Word Embeddings with Spacy & Gensim: https://www.shanelynn.ie/word-embeddings-in-python-with-spacy-and-gensim/
• FLAIR tutorials: https://github.com/zalandoresearch/flair/tree/master/resources/docs
• Building GPT-2 https://blog.floydhub.com/gpt2/
• Grover: https://rowanzellers.com/grover/
• State of Sentiment Analysis: https://webdocs.cs.ualberta.ca/~zaiane/postscript/survey-SentimentAnalysis.pdf

Finance/Time Series:

• MLCourse.ai: https://mlcourse.ai/articles/topic9-part1-time-series/
• Alphavantage.co has free API for stock data: https://www.alphavantage.co/
• Financial ML Links: https://github.com/firmai/financial-machine-learning
• ML for Asset Mgmt: https://github.com/firmai/machine-learning-asset-management
• RL for Trading: https://teddykoker.com/
• Mutivariate Time Series with Keras: https://medium.com/datadriveninvestor/multivariate-time-series-using-rnn-with-keras-7f78f4488679

Misc

• Unblocked: Book on Blockchain (not in Scribd or Liby) https://www.amazon.com/Unblocked-Blockchains-Change-Business-about/dp/0998042005/ref=sr_1_3?keywords=unblocked&qid=1566796503&s=gateway&sr=8-3
• RAdam optimizer: https://www.amazon.com/Unblocked-Blockchains-Change-Business-about/dp/0998042005/ref=sr_1_3?keywords=unblocked&qid=1566796503&s=gateway&sr=8-3
• FirmAI ML & DS Applications in Industry: https://github.com/firmai/industry-machine-learning
• WhatsApp Automation: https://medium.com/better-programming/i-wrote-a-script-to-whatsapp-my-parents-every-morning-in-just-20-lines-of-python-code-5d203c3b36c1
• Share Jupyter Notebooks: https://www.jvn.io/
• TWIML Platforms: https://s3-us-west-2.amazonaws.com/com.cloudpulsestrat/public/TWIML_ML_Platforms.pdf
• Snokel : https://www.snorkel.org/hello-world-v-0-9
• Inspection Paradox: https://towardsdatascience.com/the-inspection-paradox-is-everywhere-2ef1c2e9d709
• Survival Analysis: KM and Gamma distributions: https://better.engineering/2019/07/29/modeling-conversion-rates-and-saving-millions-of-dollars-using-kaplan-meier-and-gamma-distributions
• Memory Networks: https://arxiv.org/pdf/1410.3916.pdf
• Jupyter Widgets: https://towardsdatascience.com/bring-your-jupyter-notebook-to-life-with-interactive-widgets-bc12e03f0916