How to Learn Faster? Multi-Task and Meta-Learning to the Rescue
(T) One of the key goals of many data scientist teams is to develop models faster for new use cases and new applications. To that end, “transfer learning” which aims […]
COVID-19 – Day 206: Looking back at the Mistakes that Caused Human Lives
(E) Looking back at the mistakes that caused human lives, Professor Philippe Parola, directeur de service de soins et d’unité de recherche à L’Institut Hospitalo-Universitaire (IHU) de Marseilles, looked back […]
How to be a Successful Machine Learning Product Manager?
(B) Someone from LinkedIn emailed me to attend a virtual meet-up “AI/ML: in Product Management: Applications and best practices for leveraging AI/ML in products”, organized by the “LinkedIn Women in […]
A Gentle Introduction to Machine Learning for Product Managers
(B) I taught a machine learning class to Product Managers two years ago. I have slightly updated the content of that class. A lot of Product Managers working on machine […]
Covid-19 – Day 158: A SARS-CoV-2 Protein Interaction Map to Repurpose Antiviral Drugs
(E) Excellent research from UCSF, Institut Pasteur, Gladstone Institutes, and Icahn School of Medicine at Mount Sinai to find the right antiviral drugs for Covid-19: “A SARS-CoV-2 protein interaction map […]
Covid-19 – Day 157: Yale School of Medicine Updated Treatment for Hospitalized Patients with Non–Severe COVID-19
(E) Yale School of Medicine has updated its initial treatment algorithm for hospitalized patients with non–severe COVID-19 which uses hydroxychloroquine and tocilizumab: Yale Releases COVID-19 Treatment Algorithm Covid-19 adult treatment […]
Covid-19 – Day 156: Covid-19 Vaccines
(E) The Vaccine Centre at the London School of Hygiene & Tropical has developed a site that tracks all Covid-19 vaccine candidates as they progress through the development pipeline. The […]
Covid-19 – Day 155: An Open Source Ventilator for Covid-19 Patients
(E) I have heard many times Professor William Dally from Stanford University and nVIDIA’s Chief Scientist talking about training deep learning systems on GPUs. During the shelter, Professor Dally led […]
COVID-19 – Day 155: Latest Analyses on the Pandemic from Professor Didier Raoult
(E) Latest analyses from Professor Didier Raoult and the Institut Hospitalo-Universitaire (IHU) de Marseille, who conducted early successful tests with the hydroxychloroquine and azithromycin as a treatment to Covid-19, on […]
Covid-19 – Day 149: Virology 101
(E) A fantastic Q&A about virology with Professor Etienne Simon-Lorière for everyone to listen to. Questions asked were what is a virus, the virus genome, RNA and DNA viruses, the family of coronavirus viruses, what is a cell receptor, how a virus infects the body, how a cell replicates a virus, what is an infection, […]
Covid-19 – Day 147: Understanding the Nicotinic Acetylcholine Receptor for the Prevention and Control of Covid-19
(E) The latest epidemiological data have revealed that current smoking status appears to be a protective factor against the infection by SARS-CoV-2. A new research paper from the Institut Pasteur […]
Covid-19 – Day 146: According to Institut Pasteur – 5.7% of the French Population has been Infected
(E) Institut Pasteur has today published a detailed analysis “estimating the burden of SARS-CoV-2 in France“, and an overview of its analysis in a press release in French “une modélisation […]
Covid-19 – Day 146: Interpreting Covid-19 Seroprevalence Surveys
(E) Many have challenged the preliminary results from a study, COVID-19 Antibody Seroprevalence in Santa Clara County, published by Stanford University last Friday. That study indicated that the number of […]
Covid-19 – Day 144: Epidemic Overshoot as Pertains to Herd Immunity
(E) An excellent Twitter thread from Professor Carl Bergstrom, from the University of Washington, on explaining the impact of overshoot when trying to achieve herd immunity. Long story short: “with […]
Covid-19 – Day 140: Countries with the Lowest Number of Deaths have all Women Leaders
(E) Germany, Taiwan, New Zealand, Iceland, Finland, Norway, and Danemark have all women leaders. And, all those countries had the most adequate response to the Covid-19 pandemic, as analyzed in a Forbes magazine article. Note: The picture above is the picture of Angela Merkel from Wikipedia (By Raimond Spekking / CC BY-SA 4.0 (via Wikimedia […]
Covid-19 – Day 137: Why Japan has so many few Cases of Covid-19?
(E) Several hypotheses discussed by Professors Akiko Iwasaki and Nathan Grubaugh from the Yale School of Medicine and Yale School of Public Health Department of Epidemiology about why japan has […]
Covid-19 – Day 137: Correlation between BCG Vaccinations and Covid-19
(E) There have been many articles recently, such as this one from ScienceMag, that have reported the correlation between the BCG and the propagation of Covid-19: Can a century-old tuberculose […]
Covid-19 – Day 135: Coronavirus Antiviral Research Database
(E) Stanford University has created an antiviral research database for the coronavirus. In particular, it includes the ongoing and planned clinical trials of antiviral compounds. Note: The picture above is […]
Covid-19 – Day 133: The Profile of Covid-19 Patients Admitted to an ICU
(E) Professor Matthieu Schmidt ,from the Service of Réanimation Médicale (Intensive Care Unit) of the Hôpital La Pitié Salpêtrière in Paris, described the characteristics of the Covid-19 patients that are […]
Covid-19 – Day 130: The Cytokine Storm or the Last Response of the Immune System against the SARS-CoV-2
(E) Another great article from the New York Times that explained the cytokine storm of the immune system in its fight against the SARS-CoV-2: The Coronavirus Patients Betrayed by Their […]
Covid-19 – Day 129: Inside the Coronavirus Genome
(E) A great article from the New York Times that explained the genome of SARS-CoV-2: Bad News Wrapped in Protein: Inside the Coronavirus Genome. Note: The picture above is wild […]
Covid-19 – Day 128: Simulating Covid-19 Pandemic with SIR and SEIR Models
(E) Another great video from 3blue1brown’s YouTube channel about understanding and experimenting SIR models. A SIR model is an epidemiological model, more exactly a compartmental model, that computes the theoretical […]
Covid-19 – Day 126: How did Taiwan Control the Covid-19 Pandemic?
(E) Stanford University’s Human-Centered Artificial Intelligence (HAI) organized today a virtual conference on Covid-19 and AI. Following are a few slides from Professor Jason Wang at The Lucile Salter Packard […]
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