2018.09.29. 데이터 사이언스 뉴스레터

데이터 사이언스 뉴스레터 (wordcloud)

Kaggle Blog NEWS TITLE

• no new article

Data Camp NEWS TITLE

• What is Data Engineering?
  Keyword(freq): engineer(6), profession(2), scientist(2), type(2), algorithm(1), analysis(1), analyst(1), customer(1), example(1), format(1)

• Uncertainty in Data Science (Transcript)
  Keyword(freq): prediction(20), time(14), question(8), simulation(8), algorithm(7), cdf(7), example(7), histogram(7), method(7), statistics(7)

Analytics Vidhya NEWS TITLE

• Building DataHack Summit 2018 <U+2013> India’s Most Advanced AI Conference. Are you Ready?
  Keyword(freq): session(6), price(2), auditorium(1), cake(1), corner(1), development(1), domain(1), event(1), hacker(1), highlight(1)

• A Multivariate Time Series Guide to Forecasting and Modeling (with Python codes)
  Keyword(freq): value(19), variable(12), prediction(7), detail(3), equation(3), term(3), comment(2), method(2), result(2), set(2)

• The Winning Approaches from codeFest 2018 <U+2013> NLP, Computer Vision and Machine Learning!
  Keyword(freq): hackathon(4), feature(3), approach(2), classifier(2), image(2), participant(2), scientist(2), tweet(2), analytics(1), answer(1)

• Reinforcement Learning Guide: Solving the Multi-Armed Bandit Problem from Scratch in Python
  Keyword(freq): action(7), trial(7), algorithm(4), arm(4), case(3), result(3), reward(3), sample(3), strategy(3), work(3)

• 10 Mind-Blowing TED Talks on Artificial Intelligence Every Data Scientist & Business Leader Must Watch
  Keyword(freq): talk(8), machine(4), algorithm(3), advance(2), car(2), leader(2), system(2), technique(2), algo(1), application(1)

Machine Learning Mastery NEWS TITLE

• How to Load and Explore Household Electricity Usage Data
  Keyword(freq): plot(15), method(13), variable(10), observation(9), example(6), value(6), feature(5), model(5), row(5), distribution(3)

• Deep Learning Models for Human Activity Recognition
  Keyword(freq): network(26), layer(25), model(19), activity(18), feature(18), window(16), method(11), sensor(9), cnn(8), problem(8)

• How to Develop RNN Models for Human Activity Recognition Time Series Classification
  Keyword(freq): feature(21), step(18), model(11), result(10), sequence(7), window(7), subsequence(6), time(6), activity(5), lstm(5)