2018.07.28. 데이터 사이언스 뉴스레터

데이터 사이언스 뉴스레터 (wordcloud)

Kaggle Blog NEWS TITLE

• Data Notes: Winning Solutions of Kaggle Competitions
  Keyword(freq): avocado(2), app(1), competition(1), dataset(1), data(1), image(1), kernel(1), method(1), price(1), principle(1)

Data Camp NEWS TITLE

• New Project: Visualizing Inequalities in Life Expectancy
  Keyword(freq): data(2), man(2), woman(2), expectancy(1), nation(1), period(1), question(1), NA(NA), NA(NA), NA(NA)

• Data Science at Doctors without Borders (Transcript)
  Keyword(freq): data(79), village(18), survey(14), doctor(11), net(11), result(10), border(9), question(9), project(7), term(5)

• Chatbots, Conversational Software & Data Science (Transcript)
  Keyword(freq): conversation(15), data(14), chatbot(13), library(11), case(10), rule(9), question(8), company(7), developer(6), industry(6)

Analytics Vidhya NEWS TITLE

• Top 10 Pretrained Models to get you Started with Deep Learning (Part 1 <U+2013> Computer Vision)
  Keyword(freq): image(13), model(10), application(7), kera(5), weight(4), caption(3), car(3), object(3), tomato(3), article(2)

• Infographic <U+2013> 13 Common Mistakes Amateur Data Scientists Make and How to Avoid Them
  Keyword(freq): data(4), scientist(3), mistake(2), resource(2), challenge(1), effort(1), expert(1), list(1), tip(1), trap(1)

• Top Highlights from AV’s Record-Breaking Weekend Online Hackathon
  Keyword(freq): analytics(4), participant(3), agent(2), data(2), hackathon(2), policy(2), approach(1), comment(1), criterion(1), demographic(1)

• DataHack Radio Episode #5: Building High Performance Data Science teams with Kiran R
  Keyword(freq): data(21), competition(6), model(6), technique(5), analytics(4), kiran(4), problem(4), platform(3), science(3), skill(3)

Machine Learning Mastery NEWS TITLE

• How to Configure the Number of Layers and Nodes in a Neural Network
  Keyword(freq): layer(28), node(20), network(12), function(7), problem(7), variable(6), hyperparameter(4), idea(4), input(4), output(4)

• How to Calculate McNemar’s Test to Compare Two Machine Learning Classifiers
  Keyword(freq): model(19), mcnemar(16), test(11), classifier(9), result(8), algorithm(7), case(7), cell(6), method(5), data(4)

• When to Use MLP, CNN, and RNN Neural Networks
  Keyword(freq): network(21), data(17), problem(14), type(9), layer(6), model(6), rnn(6), cnn(5), input(5), detail(4)