데이터 사이언스 뉴스레터 (wordcloud)
Kaggle Blog NEWS TITLE
- Hackathon Winner Interview: Penn State | Kaggle University Club
Keyword(freq): competition(4), aspiration(3), team(3), approach(2), art(2), idea(2), kernel(2), oake(2), algorithm(1), book(1)
Data Camp NEWS TITLE
- DataCamp Announces New Funding
Keyword(freq): analytics(3), company(3), datacamp(2), project(2), capability(1), exercise(1), expert(1), hint(1), integration(1), learner(1)
Analytics Vidhya NEWS TITLE
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DataHack Radio #14: Quantum Computing and Quantum Machine Learning with Dr. Mandaar Pande
Keyword(freq): computer(3), atom(2), folk(2), mechanic(2), optic(2), physic(2), transistor(2), application(1), aspect(1), avenue(1) -
A Technical Overview of AI & ML (NLP, Computer Vision, Reinforcement Learning) in 2018 & Trends for 2019
Keyword(freq): model(9), task(7), application(6), time(6), company(5), development(5), image(5), thought(4), analytics(3), embedding(3) -
Top Highlights from the Amazing Machine Learning Tutorials Presented at NeurIPS (NIPS) 2018
Keyword(freq): method(9), neurip(9), speaker(9), system(9), researcher(7), session(7), topic(7), feature(5), model(5), term(5) -
A Comprehensive Guide to Digital Marketing and Analytics Every Data Science Professional Must Read
Keyword(freq): analytics(24), media(21), tag(16), cooky(9), customer(9), advertiser(8), visitor(7), impression(6), tool(6), adword(5)
Machine Learning Mastery NEWS TITLE
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How to Reduce the Variance of Deep Learning Models in Keras Using Model Averaging Ensembles
Keyword(freq): model(29), prediction(12), score(8), kera(6), point(6), sample(6), result(5), ensemble(4), variable(4), curve(3) -
Ensemble Methods for Deep Learning Neural Networks to Reduce Variance and Improve Performance
Keyword(freq): model(37), network(32), prediction(29), method(9), weight(9), ensemble(7), result(7), error(5), layer(5), input(4) -
Introduction to Regularization to Reduce Overfitting of Deep Learning Neural Networks
Keyword(freq): network(12), method(9), weight(8), example(7), parameter(6), input(5), case(4), change(4), layer(4), node(4)