Best 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

1. Universal approximation theorem at Wikipedia.
2. No free lunch theorem at Wikipedia.
3. What’s Lost When Research Is Driven Primarily by Funding at Scientific American.
4. How the Internet Travels Across Oceans at the New York Times.
5. Huawei’s Linux Distribution openEuler is Available Now! at It’s FOSS.
6. The Unstoppable Rise of Sci-Hub: How does a new generation of researchers perceive Sci-Hub? at LSE Impact Blog.

Best 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

1. Explaining Away at Martin Thoma.
2. 12 things I wish I’d known before starting as a Data Scientist at Deliberate Data Science.
3. The Grandmaster in the Corner Office: What the Study of Chess Experts Teaches Us about Building a Remarkable Life at the Study Hacks Blog.
4. Does Living a Remarkable Life Require Courage or Effort? the Study Hacks Blog.
5. Your job is not Machine Learning at Deliberate Data Science.

Best links of the week from 23rd December to 29th December

Links

1. How Margaret Dayhoff Brought Modern Computing to Biology at Smithsonian Magazine.
2. Humans have a natural lifespan of only 38 years at Daily Mail (paper here).
3. When Surgeons Listen To Their Preferred Music, Their Stitches Are Better and Faster at FAC Medicine.
4. Artificial intelligence predictions for 2020: 16 experts have their say at Verdict.
5. Unpacking the Black Box in Artificial Intelligence for Medicine at Undark.
6. Vanishing gradient problem at Wikipedia.
7. O que acontece com as crianças-prodígio quando elas crescem? at BBC News.

Reading Time: 13 minutes

Best links of the week from 2nd December to 8th December

Links

1. What can you expect at NeurIPS 2019? at PacktPub.
2. NeurIPS 2019 Livestream.
3. Is it worth attending NeurIPS if you’re not an academic?
4. Colliders in Epidemiology: an educational interactive web application.
5. Treinamento técnico em Bioinformática com bolsa da FAPESP at Agência FAPESP.
6. Properties of the OLS estimator at StatLect.

Blog/posts

1. NIPS 2017: 1st day at Dmytro Mishkin‘s Medium.
2. NIPS 2017, Day 4 (orals + symposium) at Dmytro Mishkin‘s Medium.
3. Nine things I wish I had known the first time I came to NIPS at Jennifer Wortman Vaughan‘s Medium (Some extra comments on this post here).
4. Preparing for NeurIPS at Keren Gu‘s Medium.
5. How to NeurIPS at Jade Abbott‘s Medium.
6. How to analyze a research paper at Jade Abbott‘s Medium.
7. NeurIPS 2018 Through the Eyes of First-Timers at Synced Review.
8. NeurIPS: A Beginner’s Guide at Max Marion‘s website.
9. Regressão Linear at Natan Anael‘s Medium.
10. Beware the Propensity Score: It’s a Collider at Fernando Martel García’s GitHub.
11. Remarks on Chen and Pearl on causality in econometrics textbooks at Chris Auld’s Blog.

Videos

1. Origin of Markov chains at Khan Academy Labs’s YouTube channel.
2. OpenAI Plays Hide and Seek…and Breaks The Game! at Two Minute Papers’s YouTube channel.
3. Artificial Intelligence Debate – Yann LeCun vs. Gary Marcus – Does AI Need More Innate Machinery? at The Artificial Intelligence Channel on YouTube. I wrote a Twitter thread here commenting on the debate.

Podcasts

1. Quantitative Bias Analysis with Matt Fox at Casual Inference Podcast.
2. Você confiaria num “Robô Juiz”? at Spin de Notícias.

Positions available

1. Research Scientist – Machine Learning for Autonomous Driving Behavior at Bosch.
2. Research Engineer – Machine Learning for Autonomous Driving Behavior at Bosch.
3. Research Intern in Machine Learning at Bosch.
4. 8 Ph.D. fellowships at Institut Curie.
5. Assistant or Associate Professor in Machine Learning at Université de Montreal.
6. Ph.D. and Postdoctoral opportunities in Recurrent Neural Networks and Related Machines That Learn Algorithms at Swiss AI Lab IDSIA.
7. Research position in Natural Language Processing / Machine Learning at INESCTEC.
8. Research position in Machine Learning at INESCTEC.
9. Four Postdoctoral Research Assistant position in AI for Healthcare at the University of Oxford.
10. Two Senior Research Associate in Biomedical Engineering at the University of Oxford.
11. Two Research Scientist in AI for Healthcare at the University of Oxford.
12. 50+ opportunities in Engineering, Information Technology and Research at ACT.
13. Research Fellow/Senior Research Fellow in Machine Learning For Autonomous Robot at UCL.
14. Research Fellow/Senior Research Fellow in Machine Learning for Climate Science at UCL.
15. Postdoctoral fellowship in fairness aware artificial intelligence, federated learning, dynamic sequence data modeling, and recommendation at the University of Arkansas.
    The next opportunities (30+) are reserved for readers registered in the newsletter. By having registered, you will receive updates on the posts in the blog!
    How do you want to be called? (optional)

    Email

    Age (optional) <=20 years old >20 and <=30 years old <30 and <= 40 years old 40+ years old

    Where are you from? (optional)

Best links of the week from 25th November to 1st December

Links

1. Researchers Have Successfully Tricked A.I. Into Seeing The Wrong Things at PopSci.
2. Fooling the machine at PopSci.
3. Why isn’t confounding a statistical concept? at Judea Pearl’s discussion with readers.
4. The impossibility of asymmetric causation at Judea Pearl’s discussion with readers.
5. d-SEPARATION WITHOUT TEARS at Judea Pearl’s discussion with readers. There is an interactive adaptation from this at dagitty’s website here.
6. An Illustration of Pearl’s Simpson Machine at dagitty.
7. Do you think you know DAG terminology? This game can help you try your skills. There is also another game here for testing your knowledge on covariate roles and another one about Table 2 Fallacy. All this at dagitty.
8.  On causality and decision trees at Judea Pearl’s discussion with readers.
9. On causality and decision trees (cont.) at Judea Pearl’s discussion with readers.
10. Back-door criterion and epidemiology at Judea Pearl’s discussion with readers.
11. Indirect Effects at Judea Pearl’s discussion with readers.
12. The meaning of counterfactuals at Judea Pearl’s discussion with readers.
13. Has causality been defined? at Judea Pearl’s discussion with readers.
14. The tidyverse for Machine Learning presentation by Bruna Wundervald at satRday São Paulo.
15. Centrality measures as a proxy for causal influence? at Fabian Dablander‘s website.
16. Garoto de 12 anos já trabalha como cientista de dados at Olhar Digital.
17. CGU lança novo Painel Correição em Dados at CGU.

Blog/posts

1. Causality in Machine Learning 101 for Dummies like Me by Sangeet Moy Das at Towards Data Science.
2. An introduction to Causal inference at Fabian Dablander‘s Blog.
3. Spurious correlations and random walks at Fabian Dablander‘s Blog.
4. Curve fitting and the Gaussian distribution at Fabian Dablander‘s Blog.
5. In Review: Ten Great Ideas About Chance at Fabian Dablander‘s Blog.
6. Using causal graphs to understand missingness and how to deal with it at Cookie Scientist.

Videos

1. A network of science: 150 years of Nature papers at nature video‘s YouTube channel.
2. ViennaR Meetup March 2019 | Hadley Wickham Tidy Data at Quantargo‘s YouTube channel.
3. Causal Graphs by Julian Schüssler at MZES Methods Bites‘s YouTube channel.

Positions available

1. Lecturer/Senior Lecturer/Reader in Media & Data Science at the University of Glasgow.
2. Ph.D. fellowship in Machine Learning for Robot Manipulation at Bosch.
3. Fully Funded Ph.D. position in AI and Machine Learning for mental well being at Örebro University.
4. Research Assistant in Computer Vision and Deep Learning at Edge Hill University.
5. Tenure Track ML Teaching Professor Position at UCSD.
6. Post-doctoral fellowship (Genomics) at Instituto Tecnológico Vale.
7. Data Science Vice President at Big Cloud.
8. Director of Data Science at Ideal Team Consulting.
9. Gerente de Governança e Arquitetura de Dados at Wiz.
10. Senior Business Intelligence Analyst at SumUp.
11. Data Architect – Restaurant Product at iFood.
12. Lead Data Engineer at QuintoAndar.
13. Software Engineer at Google.
14. Senior SQL Server/ETL Developer at Cognizant.
15. Data Architect D2- Lunch DFN at iFood.
    The next opportunities (30+) are reserved for readers registered in the newsletter. By having registered, you will receive updates on the posts in the blog!
    How do you want to be called? (optional)

    Email

    Age (optional) <=20 years old >20 and <=30 years old <30 and <= 40 years old 40+ years old

    Where are you from? (optional)

Best links of the week from 18th November to 24th November

Links

1. How do I encrypt a file or folder in my home directory? at the Department of Statistics (UC Berkley).
2. RAWGraphs, The missing link between spreadsheets and data visualization.
3. InterpretML is an open-source python package for training interpretable models and explaining blackbox systems.
4. Misunderstandings Involving Conditional Probabilities at COMMON MISTEAKS MISTAKES IN USING STATISTICS.
5. Misunderstandings arising from different perspectives on probability at COMMON MISTEAKS MISTAKES IN USING STATISTICS.
6. Over-Interpretation at COMMON MISTEAKS MISTAKES IN USING STATISTICS.
7. Mistakes Involving the Limitations of Frequentist Inference Procedures (Hypothesis Tests and Confidence Intervals) at COMMON MISTEAKS MISTAKES IN USING STATISTICS.
8. The new dot com bubble is here: it’s called online advertising at The Correspondent.
9. Cientista tem planos de editar genes humanos com DNA de tardígrados at Revista Galileu.
10. Dados públicos CNPJ at Receita Federal.
11. Painéis de Dados da Anatel at Anatel.
12. Acre vive surto de doença causada por medo de vacinação at Jornal da USP.
13. Inteligência Artificial na Educação: RN usa algorítimo para analisar risco e combater a evasão escolar at Globo G1.

Best links of the week from 11th November to 17th November

Links

1. Hyping research runs risk of devaluing science at The Irish Times.
2. The Cobra Effect: Lessons in Unintended Consequences at The Foundation for Economic Education.
3. 3 Myths About Machine Learning in Health Care at Harvard Business Review.
4. SEMINAL DEBATE : YOSHUA BENGIO | GARY MARCUS — LIVE STREAMING.
5. Intel open-sources HE-Transformer, a tool that allows AI models to operate on encrypted data at Venture Beat.
6. Google’s secret cache of medical data includes names and full details of millions – whistleblower at The Guardian.
7. Professores brasileiros realizam chamada por reconhecimento facial at Olhar Digital.
8. O círculo vicioso da conspiração at Revista Questão de Ciência.
9. Sete em cada dez projetos de inteligência artificial em empresas falham, diz estudo at Estadão.
10. Falha de segurança da Claro expõe dados de 8 milhões de usuários at Olhar Digital.

Best links of the week from 4th November to 10th November

Links

1. Amazon makes its second digital health acquisition with Health Navigator at Mobi Health News.
2. Metasyntactic variable at Wikipedia.
3. Statistical Relationship: Definition, Examples at Statistics How To.
4. ggtext at Claus Wilke‘s GitHub.
5. Plot Ridge coefficients as a function of the regularization at Scikit-Learn website.
6. IBM pede regulamentação para reconhecimento facial at Olhar Digital.
7. Indiferença à verdade na era dos totalitarismos customizados at Revista Questão de Ciência.
8. Google lança aplicativos para ajudar a passar menos tempo no celular at TechTudo.
9. Laura: a inteligência artificial que já salvou 12 mil vidas no Brasil at Endeavor.
10. Por que o novo filme do ‘Exterminador do Futuro’ está irritando pesquisadores de inteligência artificial at BBC Brasil.
11. Esta empresa criou uma inteligência artificial que funciona como a humana at Época Negócios.

Best links of the week from 28th October to 3rd November

Links

1. Several links related to governmental data in Brazil at Colaboradados.
2. What They Forgot to Teach You About R by Jennifer Bryan and Jim Hester.
3. Joplin, an open-source note taking and to-do application with synchronization capabilities.
4. Typora, a truly minimal markdown editor (goes hand in hand with Joplin.
5. How to Turn Vim Into an IDE for R at Kade Killary‘s Medium.
6. Otter.ai: 600 minutes of free transcription per month!
7. Free Online Image Editor.
8. How Millennial Parents Are Embracing Health and Wellness Technologies for Their Generation Alpha Kids at IEEE Transmitter.
9. Giving algorithms a sense of uncertainty could make them more ethical at MIT Technology Review.
10. What would a PhD graduate advise a new PhD student? at Quora.
11. Por que o novo filme do ‘Exterminador do Futuro’ está irritando pesquisadores de inteligência artificial at BBC News Brasil.
12. Entrevista: Por que homeopatia é placebo – e não deve ser paga pelo SUS at Super Interessante.