How do you optimise your slides, audio or video when delivering online teaching?

There are many learning theories out there, but Mayer’s Multimedia Learning Theory is epic.

Read this thread + use his theories to improve learning transfer

Non-ideal slide to get started👇

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How to Get Rich (without getting lucky):

Seek wealth, not money or status. Wealth is having assets that earn while you sleep. Money is how we transfer time and wealth. Status is your place in the social hierarchy.

Understand that ethical wealth creation is possible. If you secretly despise wealth, it will elude you.

Ignore people playing status games. They gain status by attacking people playing wealth creation games.

You’re not going to get rich renting out your time. You must own equity - a piece of a business - to gain your financial freedom.

NARHARI AND BHAGWAN PANDURANG/VITTHAL

Once a goldsmith by the name of Narhari lived in Pandharpur. He excelled in his craft. He had vowed not to look at Pandurang or visit his mandir ever, as he was a Shiva Bhakt.
One day, a wealthy merchant visited him.

He wanted a gold girdle studded with precious gems, to be made for Prabhu Vitthal. Narhari refused to make it as it was for Vitthal.
After many requests, he agreed to make the girdle but asked the merchant to bring the measurement from the mandir as he himself would not go there

The measurement was given n he made the girdle. When the girdle was put on Vitthal, it was loose. Narhari had to shorten it. Now the girdle became tight. So Narhari was forced to take measurement on his own. He had to go to the mandir but went blindfolded to avoid seeing Vitthal

In the Mandir, when blindfolded Narhari touched Vitthal, he felt as if he was touching Shiva with matted hair, the moon, snake in His neck and Trishul in His hand. Ecstatic with joy, he removed the blindfold to see Shiva but he found the murti of Vitthal with Rukmini there.

He realised the truth that there was no difference between Vitthal and Shiva. Narhari at once fell at the feet of Panduranga. He then took the measurement of the waist of Vitthal and this time the ornament fit the Murti perfectly.

Narayan Hari🙏🏻

Some quick thoughts on Sam Gyimah's resignation after conversations with various Conservative MPs: 1) the chances of a second referendum are a lot higher than I thought:

2) At this point, if you are a young and ambitious Tory MP it is now so overwhelmingly in your interest to vote against the withdrawal agreement. V v hard to see how Julian Smith can cap rebellion at under 100:

3) Really just to reiterate 1) Gyimah is the kind of "No, never gonna rebel" vaguely pro-EU Tory you'd need to get on side to outweigh Labour Leavers and Real Concerners.

Important paper from Google on large batch optimization. They do impressively careful experiments measuring # iterations needed to achieve target validation error at various batch sizes. The main "surprise" is the lack of surprises. [thread]

https://t.co/7QIx5CFdfJ

The paper is a good example of lots of elements of good experimental design. They validate their metric by showing lots of variants give consistent results. They tune hyperparamters separately for each condition, check that optimum isn't at the endpoints, and measure sensitivity.

They have separate experiments where the hold fixed # iterations and # epochs, which (as they explain) measure very different things. They avoid confounds, such as batch norm's artificial dependence between batch size and regularization strength.

When the experiments are done carefully enough, the results are remarkably consistent between different datasets and architectures. Qualitatively, MNIST behaves just like ImageNet.

Importantly, they don't find any evidence for a "sharp/flat optima" effect whereby better optimization leads to worse final results. They have a good discussion of experimental artifacts/confounds in past papers where such effects were reported.