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CNN

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  1. A Guide to Convolutional Neural Networks for Computer Vision
  2. A Guide to Receptive Field Arithmetic for Convolutional Neural Networks
  3. CS231n Convolutional Neural Networks for Visual Recognition

Data Analysis

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  1. Introduction to Hidden Markov Models with Python Networkx and Sklearn
  2. SymPy Intervals

Machine learning

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Books

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  1. Building Machine Learning Systems with Python / Second Edition / 2015

    Отличная книга для новичков. Нравится за развитие сюжета на ошибках

DS Tools

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  1. scikit-learn: machine learning in Python — scikit-learn 0.18.1 documentation

NN

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  1. The Annotated Transformer

Recommneder systems

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  1. Recommender Systems Framework in Python — scikit-recommender v0.1 documentation
  2. Seeking Python tools/modules/add-ins for GIS?
  3. Home
  4. Recommending movies with additional features using collaborative filtering
  5. Collaborative filtering for recommendation systems in Python, Nicolas…

Reinforcement Learning

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  1. Bootstrapping Reinforcement Learning – Suman Deb Roy – Medium
  2. reinforce.io

Strategy

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  1. Designing at leverage points – Shopify UX

Бизнес

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  1. От хорошего к великому

Боты&API

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  1. Designing a RESTful API with Python and Flask
  2. Build an API under 30 lines of code with Python and Flask
  3. Create AI Chat Bot for Facebook

NLP

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  1. chartbeat-labs/textacy
  2. Weighting words using Tf-Idf - NLP-FOR-HACKERS
  3. CLARK GRUBB | NLP
  4. spaCy now speaks German
  5. kmike/pymorphy2
  6. грамматическим словарем
  7. 11 more

Intro

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  1. Into to NLP
  2. kpibigdataclub/nlp: Intro
  3. NLP Morning@Lohika part 2

    Юрий Гутц

Watson

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  1. Natural Language Understanding
  2. Alchemy Language v1 API Explorer

Relations Extraction

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  1. huggingface/neuralcoref
  2. DeepDive Applications
  3. TextRazor | The Natural Language Processing API

    Используют maltparser

Word2Vec

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  1. Spark Word2Vec
  2. gensim: topic modelling for humans
  3. Wrapper for google word2vec
  4. Gensim Word2vec Tutorial

IE (Information Retrieval)

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  1. deep_learning_for_information_retrieval.pdf
  2. tsinghua_opportunities_and_challenges_in_deep_learning_for_information_retrieval.pdf
  3. Information Retrieval with Deep Learning

Data Mining

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  1. pyspark distributed kmodes

Books

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  1. Introduction to Data Mining

Tools

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  1. Einstein Home
  2. Extract data from any websites into a spreadsheet
  3. QuickDBD
  4. Stash

Apache Spark

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  1. Apache-Spark-The-Definitive-Guide-Excerpts-R1.pdf
  2. visualapi.pdf
  3. Downloads | Apache Spark
  4. An Overview of Apache Spark
  5. PySpark Tutorial-Learn to use Apache Spark with Python
  6. Clustering Clickstream Data Using Spark

    https://github.com/ThinkBigAnaly…/pyspark-distributed-kmodes

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  1. Anna Pipko
    Anna Pipko · over 8 years ago

    https://docs.google.com/spreadsheets/d/1miN1dUvPMmnLdhunhZCil80LwlJ3xj8gRXrUNA-KrIE/edit#gid=0 Suggested

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