2018.10.20. 데이터 사이언스 뉴스레터

데이터 사이언스 뉴스레터 (wordcloud)

Data Notes: The Secret of Academic Success
Keyword(freq): architecture(1), car(1), cnn(1), dataset(1), kernel(1), network(1), review(1), right(1), script(1), truck(1)

SQL Server, PostgreSQL, MySQL… what’s the difference? Where do I start?
Keyword(freq): system(4), table(4), platform(3), question(3), skill(3), student(3), column(2), databasis(2), dialect(2), difference(2)
Project Jupyter and Interactive Computing (Transcript)
Keyword(freq): notebook(32), project(27), organization(19), contributor(15), user(13), term(10), tool(10), feature(9), contribution(8), case(7)

Deep Learning in the Trenches: Understanding Inception Network from Scratch
Keyword(freq): layer(7), image(5), architecture(4), idea(4), kera(4), author(3), article(2), learning(2), library(2), module(2)
Must Read Books<U+00A0>for Beginners on Machine Learning and Artificial Intelligence
Keyword(freq): book(19), link(11), algorithm(7), author(7), pdf(7), machine(6), technique(4), thank(4), topic(4), aspect(3)
An NLP Approach to Mining Online Reviews using Topic Modeling (with Python codes)
Keyword(freq): review(26), topic(11), product(6), consumer(5), term(5), technique(3), thank(3), customer(2), dataset(2), item(2)
DataHack Radio #12: Exploring the Nuts and Bolts of Natural Language Processing with Sebastian Ruder
Keyword(freq): language(5), media(4), linguistic(3), model(3), technique(3), analytics(2), source(2), algorithm(1), application(1), article(1)

How to Develop Machine Learning Models for Multivariate Multi-Step Air Pollution Time Series Forecasting
Keyword(freq): observation(34), model(28), variable(24), algorithm(20), chunk(18), time(18), row(12), gap(10), hour(9), implement(9)
How to Develop Autoregressive Forecasting Models for Multi-Step Air Pollution Time Series Forecasting
Keyword(freq): value(26), plot(25), chunk(21), observation(18), model(17), variable(16), hour(15), time(13), row(10), gap(9)
How to Develop Baseline Forecasts for Multi-Site Multivariate Air Pollution Time Series Forecasting
Keyword(freq): chunk(17), method(16), mae(15), observation(14), time(14), variable(11), row(10), forecast(9), site(9), implement(8)