Reading time: 3 minutesBest links of the week from 16th September to 29th September Links Why is it that machine-learning systems are black boxes even to the researchers that build them? at Quora. AEV Autonomous Driving Dataset (A2D2). Visual Vocabulary at Financial Times’ Visual & Data Journalism team’s GitHub. What is the difference between conjecture and hypothesis? at …
How can I evaluate my model? Part I.
Reading time: 8 minutesDo you want to know more about terms such as recall, specificity, sensitivity, precision, f-score, accuracy, ROC, AUC? Come with me! 😉
Best links of the week #36
Reading time: 2 minutesBest links of the week from 9th September to 15th September Links Apple announces three groundbreaking health studies at Apple.com. MACHINE LEARNING: An online comic from Google AI. Discoveries from Canada’s largest health data collection project point to huge potential for precision medicine to be used with targeted policies at Policy Options Politiques. Meta-analysis course …
Best links of the week #35
Reading time: 2 minutesFree Resource for Learning Data Science, how to deal with unbalanced data, so many things this week! Is PDF probability? And of course, several work and academic opportunities 🙂
Best links of the week #34
Reading time: 2 minutesAny idea of what overfitting is? How about F1 Score? Come and check one more release of my best links of the week with several work and academic opportunities 🙂
Best links of the week #33
Reading time: 3 minutesHave you ever thought of how to evaluate your ML model? Regression models? MAE, RMSE, ROC, AUC, overfitting? new words to you? Come with me 😉
Best links of the week #32
Reading time: 2 minutesPublic datasets, a shiny app on pesticides, an interview with Wickham, an R guide by Norm Matloff and LOTS of opportunities 🙂
Best links of the week #31
Reading time: 2 minutesThis release of my best links of the week comes with A LOT of knowledge on bayesian reasoning and statistics. But that’s not it, there are also data for you to analyze, podcasts episodes and SEVERAL opportunities! 🙂
Best links of the week #30
Reading time: 2 minutesShiny apps controlled by your webcam? Your voice? How about an R package to help you catch cheaters? Data visualization, statistics and much more! Oh! Several opportunities, as always 🙂
Best links of the week #29
Reading time: 3 minutesHave you ever thought of drawing maps in R? How about measuring how unobserved confounders can mess your cause-effect analysis? Scraping data from your browser using just your browser? Come check out the most recent release of my best links of the week 🙂