DataRoot Library

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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

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

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

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 · 5 months ago

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

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