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Showing posts with label Courses. Show all posts
Showing posts with label Courses. Show all posts

Sunday, August 28, 2022

Tufte Courses

Notable always liked Tufte's work.   Attended a few courses in the big enterprise.

ANALYZING/PRESENTING    DATA/INFORMATION:

AN ONLINE VIDEO COURSE TAUGHT BY EDWARD TUFTE

EDWARD TUFTE COURSE REVIEWS + REGISTRATION INFORMATION

ET Books - Covers

"Best single-day class ever." TAOSECURITY       "The da Vinci of data." THE NEW YORK TIMES

"In university halls and conference centers, Tufte's appeal crackles. Fans spend the day looking at art and information through Tufte's eyes, as he walks them through images and analysis of his books. In 4 books and popular auditorium gigs, he teaches by visual example. Next to a bad example of a graph, he positions a sublimely clear treatment, often using the same data. Tufte's work is relevant to anyone who needs to write or present information clearly, from business executives to students. About 10 years ago, The New York Times crowned Tufte the "da Vinci of data." A more fitting title might be the "Galileo of graphics." Where da Vinci is remembered as an inventor of new technologies, Galileo put right our understanding of the solar system by positioning the sun at its center. Tufte, who owns a handful of nearly 400-year-old first editions by Galileo considers the early scientist a master of analytical design." BLOOMBERG

"The Information Sage: Meet Edward Tufte, the graphics guru to the power elite who is revolutionizing how we see data." Edward Tufte's many goverment data presentations in Washington, DC, including his presidential appointment to the Recovery Independent Advisory Panel and work on recovery.org."" THE WASHINGTON MONTHLY

"One visionary day. Few speak as eloquently as Edward Tufte, whose theories of information design not only illuminate, they inspire. In a full-day seminar, Tufte, author of the classic The Visual Display of Quantitative Information, uses maps, graphs, charts, and tables to communicate what prose alone cannot. For information designers Tufte's work is a model of clarity and craftsmanship. Given that the heart of his enterprise is statistics (of which he's a professor at Yale), one might worry about "lognormal distributions" and "trimetric projections." This would be a mistake. Tufte keeps jargon to a minimum. His insights lead to new levels of understanding both for creators and viewers of visual display. What makes Tufte most persuasive are his works themselves: His books and his seminar embody his belief that "good design is clear thinking made visible." WIRED

"Ivy League Rock and Roll: Edward Tufte, the world's most renowned visualization expert, holds legendary information design courses. I recently was among the hundreds that flock to each of his live performances. What an experience! Tufte's seminars are legendary. Anyone who deals with data and visualization on a professional level knows his books. Today in Washington's Crystal Forum many participants come from government agencies and military institutions. There are also several students whose majors range from information technology and graphic design to economics, biology and medicine. Some, balancing notebooks on their laps, will take detailed notes so that they can fully absorb Tufte's messages later at home. He gently takes an awe-striking original from Galileo Galilei or a centuries-old copy of Euclid's scripts and proceeds to carry it down the aisle. Later, one of his assistants will also walk through the auditorium with one of these precious books in hand." NICOLAS BISSANTZ  .... ' 

Saturday, November 28, 2020

A New, Free, MIT Introduction to Machine Learning AI Course

We worked with MIT in a number of ways, with their supply chain group,  their Media Laboratory and with a number of their researchers.  Impressive group.  I still provide publicity for some of their research. We introduced early AI to the enterprise.  I have now been asked to provide a review of their latest. A new, Free Introduction to Machine Learning AI Course.    See more more about it below.   If you also take it please provide some of your own thoughts about it to me.  - Franz  

MIT Released a New, Free Machine Learning Course

Don’t miss this!  By Frederik Bussler from Medium

MIT Open Learning Library just released an Introduction to Machine Learning course    . The free 13-week course covers machine learning algorithms, supervised and reinforcement learning, and more.

While you don’t need these skills to deploy AI, given no-code AI companies like Obviously.AI   , it can help if you want to work on the cutting-edge and build new architectures.

Why MIT?

MIT is a world-famous organization, and for a good reason. This prestigious university boasts graduates like Buzz Aldrin, the second person to walk on the moon (fun fact: Buzz Lightyear was named after Buzz Aldrin).

You’ll be part of a community of learners. Dreamers. Doers. Indeed, part of the Open Learning Library’s mission is “Extending MIT’s knowledge to the world.” You get all this for free.  ....

Friday, February 21, 2020

Superforecasting Short Course from The Edge

Quite interesting, free, have followed the concept for some time, but have yet to apply it.  Videos embedded at the link.   Good to see this followup.  Is enough said about embedded risk analysis?  Following.

A Short Course in Superforecasting—Philip Tetlock: An EDGE Master Class
(ED. NOTE: In 2015, Edge presented "A Short Course in Superforecasting" with political and social scientist Philip Tetlock. Superforecasting is back in the news this week thanks to the UK news coverage of comments by Boris Johnson's chief adviser Dominic Cummings, who urged journalists to "read Philip Tetlock's Superforecasters [sic], instead of political pundits who don't know what they're talking about.")

PHILIP E. TETLOCK, political and social scientist, is the Annenberg University Professor at the University of Pennsylvania, with appointments in Wharton, psychology and political science. He is co-leader of the Good Judgment Project, a multi-year forecasting study, author of Expert Political Judgment, co-author of Counterfactual Thought Experiments in World Politics (with Aaron Belkin), and co-author of Superforecasting: The Art & Science of Prediction (with Dan Gardner). Further reading on Edge: "How to Win at Forecasting: A Conversation with Philip Tetlock" (December 6, 2012). Philip Tetlock's Edge Bio Page.

CLASS I — Forecasting Tournaments: What We Discover When We Start Scoring Accuracy
It is as though high status pundits have learned a valuable survival skill, and that survival skill is they've mastered the art of appearing to go out on a limb without actually going out on a limb. They say dramatic things but there are vague verbiage quantifiers connected to the dramatic things. It sounds as though they're saying something very compelling and riveting. There's a scenario that's been conjured up in your mind of something either very good or very bad. It's vivid, easily imaginable.

It turns out, on close inspection they're not really saying that's going to happen. They're not specifying the conditions, or a time frame, or likelihood, so there's no way of assessing accuracy. You could say these pundits are just doing what a rational pundit would do because they know that they live in a somewhat stochastic world. They know that it's a world that frequently is going to throw off surprises at them, so to maintain their credibility with their community of co-believers they need to be vague. It's an essential survival skill. There is some considerable truth to that, and forecasting tournaments are a very different way of proceeding. Forecasting tournaments require people to attach explicit probabilities to well-defined outcomes in well-defined time frames so you can keep score.   ... " 

Monday, September 11, 2017

Machine Learning Resources

Good list, mostly courses, on these topics.

Writing about AI/ML, growing @YupTechnologies. Previously @Upstart, @Yale, @TrueVenturesTEC.    By Vishal Maini 

The Best Machine Learning Resources
A compendium of resources for crafting a curriculum on artificial intelligence, machine learning, and deep learning. .... "