π @Emil_Hvitfeldt takes {ggplot2} 3.2.0's legend options for a spinβ¦
β Mara Averick (@dataandme) June 18, 2019
π "Changing Glyph in legend in ggplot2"https://t.co/tv312fAnix #rstats #dataviz pic.twitter.com/u6IZX2RUwc
π @Emil_Hvitfeldt takes {ggplot2} 3.2.0's legend options for a spinβ¦
β Mara Averick (@dataandme) June 18, 2019
π "Changing Glyph in legend in ggplot2"https://t.co/tv312fAnix #rstats #dataviz pic.twitter.com/u6IZX2RUwc
Nice talk from David Silver on AlphaStar: https://t.co/7wBczTZG6G
β Miles Brundage (@Miles_Brundage) June 18, 2019
New mathematical explanation of lack of barriers in deep learning landscape (i.e., low-cost solutions interconnected via regions of low cost; ICML18). Applies to realistic deep nets and uses noise stability property. Rong Ge's blog post about our paper https://t.co/KjpWerVxJ3
β Sanjeev Arora (@prfsanjeevarora) June 17, 2019
Detailed ICML 2019 Notes from David Abel https://t.co/glU9NUdVzD
β /MachineLearning (@slashML) June 17, 2019
π©βπ« If you haven't seen @minebocek's Pickard Lecture, it's a great watch for #rstats and stats/DS ed. in general:
β Mara Averick (@dataandme) June 16, 2019
π "Let them eat cake (first)!"
π₯ video: https://t.co/7nhfPPZCzD
π½ slides: https://t.co/cV4t9rhxAy pic.twitter.com/r4HOcSUHfE
Slides & Code for my Normalizing Flow tutorial at ICML here: https://t.co/fyFc9hfYMQ
β Eric Jang (@ericjang11) June 15, 2019
ICYMI, π₯ From the basics to predictive analytics, this is fire!
β Mara Averick (@dataandme) June 14, 2019
π "UC Business Analytics R Programming Guide" by @bradleyboehmke https://t.co/3n3GcJl4q6 via @UC_Rstats #rstats pic.twitter.com/KgM0bdphqw
My AutoML keynote will be streaming live from this link, starting in 5 mins #icml2019https://t.co/4geXi8EIwo
β Rachel Thomas (@math_rachel) June 14, 2019
ICYMI, π§ @cpsievert's plotly book covers all sorts of interesting stuff I never knew existedβ¦
β Mara Averick (@dataandme) June 14, 2019
π "Interactive web-based data visualization w/ R, plotly, and shiny" https://t.co/fF2ttLJUf3 #rstats #dataviz pic.twitter.com/NBLd1xcd3x
π Forecasting noisy time seriess w/ {nnfor} & {tsintermittent}
β Mara Averick (@dataandme) June 13, 2019
"Intermittent demand, Croston, and Die Hard" β @brodriguescohttps://t.co/RmhycfIQ4N #rstats
[gif: Die Hard - welcome to the party, pal] pic.twitter.com/IpFvvyt6TQ
A curated list of decision, classification and regression tree research papers from the last 30 years with implementations. It covers NeurIPS, ICML, ICLR, KDD, ICDM, CIKM, AAAI etc.https://t.co/JDj6bkTYth
β Jeremy Howard (@jeremyphoward) June 13, 2019
Check my tutorials for Swift For TensorFlow all in @GoogleColab https://t.co/sissjGm8Xp pic.twitter.com/cEBP7qb2A6
β Zaid Ψ²ΩΨ― (@zaidalyafeai) June 13, 2019