Category: BestLinks

Best links of the week #53

Reading time: 2 minutesBest links of the week from 20th January to 26th January Links Anscombe’s quartet at Wikipedia. Robust regression at Wikipedia. Generalized linear model at Wikipedia. Same Stats, Different Graphs: Generating Datasets with Varied Appearance and Identical Statistics through Simulated Annealing at Autodesk Research. Technologies to watch in 2020 at Nature. The value of owning more …

Best links of the week #51

Reading time: 2 minutesBest links of the week from 6th January to 12th January I’m on vacations so don’t expect a lot of links in the following releases 🙂 Links Universal approximation theorem at Wikipedia. No free lunch theorem at Wikipedia. What’s Lost When Research Is Driven Primarily by Funding at Scientific American. How the Internet Travels Across …

Best links of the week #50

Reading time: 2 minutesBest links of the week from 30th December to 5th January I’m on vacations so don’t expect a lot of links in the following releases 🙂 Blog/posts Explaining Away at Martin Thoma. 12 things I wish I’d known before starting as a Data Scientist at Deliberate Data Science. The Grandmaster in the Corner Office: What …

Best links of the week #49

Reading time: 2 minutesBest links of the week from 23rd December to 29th December Links How Margaret Dayhoff Brought Modern Computing to Biology at Smithsonian Magazine. Humans have a natural lifespan of only 38 years at Daily Mail (paper here). When Surgeons Listen To Their Preferred Music, Their Stitches Are Better and Faster at FAC Medicine. Artificial intelligence …

Best links of the week #48

Reading time: 4 minutesBest links of the week from 2nd December to 8th December Links What can you expect at NeurIPS 2019? at PacktPub. NeurIPS 2019 Livestream. Is it worth attending NeurIPS if you’re not an academic? Colliders in Epidemiology: an educational interactive web application. Treinamento técnico em Bioinformática com bolsa da FAPESP at Agência FAPESP. Properties of …

Best links of the week #45

Reading time: 3 minutesWhat does it mean for a machine to “understand”? Well, if we’re talking about understanding, a link on the top 10 bias and causality techniques that everyone needs to master is a must! And there is one! Come and check also our weekly list of academic and industry opportunities in the data science world 🙂