Following up on our discussion the other day, Andrew Ng writes: Looking at the “typical” ML syllabus, I think most classes do a great job teaching the core ideas, but that there’re two recent trends in ML that are usually not yet reflected. First, unlike 10 years ago, a lot of our students are now […]The post More on that machine learning course appeared first on Statistical Modeling, Causal Inference,…
Aleks pointed me to some posts on Gary Rubenstein’s blog, where I found this disheartening description of the teaching at a local high school. None of this is a surprise, but Rubenstein writes it vividly, and it’s interesting to see how ba...
Nando de Freitas writes: We’re designing two machine learning (ML) courses at Oxford (introductory and advanced ML). In doing this, we have many questions and wonder what your thoughts are on the following: - Which do you think are the key optimization papers/ideas that should be covered. - Which topics do you think are coolest […]The post What should be in a machine learning course? appeared first on Statistical Modeling,…
The problem with probability is that it doesn’t really exist. Certainly it never exists in the past. Probability is an invention we use to communicate our thoughts about how likely something is to happen. We have collectively agreed that 1 … Continue reading →
Dave Decker writes: I’ve seen some Bayes related things recently that might make for interesting fodder on your blog. There are two books, teaching Bayesian analysis from a programming perspective. And also a “web application for data analysis using powerful Bayesian statistical methods.” I took a look. The first book is Think Bayes: Bayesian Statistics […]The post Bayes related appeared first on Statistical Modeling, Causal Inference, and Social Science.
Mark Street writes: I teach a high school (grade 11) statistics class outside the USA and I am always looking for hands-on demonstrations. In fact, last week (the start of our school year here), I did the in-class exercise about “guessing ages of ten pictures” (p. 11-13) from your book “Teaching Statistics – A Bag […]The post Data to use for in-class sampling exercises? appeared first on Statistical Modeling, Causal…
I do my own video-editing using a very versatile and complex program called Adobe Premiere Pro. I have had no formal training, and get help by ringing my son, who taught me all I know and can usually rescue me … Continue reading →
What can you do with ordinal data? Or more to the point, what shouldn’t you do with ordinal data? First of all, let’s look at what ordinal data is. It is usual in statistics and other sciences to classify types … Continue reading →
A few days ago I came across Jack Heinemann and collaborators’ article (Sustainability and innovation in staple crop production in the US Midwest, Open Access) comparing the agricultural sectors of USA and Western Europe‡. While the article is titled around the word sustainability, the main comparison stems from the use of Genetically Modified crops in […]
The most useful thing I learned in my teacher training at Auckland College of Education in 1985 was to write learning objectives. Not many years, and two babies later, I began lecturing at the University of Canterbury in Management Science/Operations … Continue reading →
