Jasdev Sekhon

Stop watching Netflix to save pubs, Welsh first minister Eluned Morgan says Eluned Morgan said her government can't be expected

www.bbc.co.uk/news/article...

Nice day for a swim 🌧️

Boston Standard Plans have been submitted to transform a former private school in Boston into a special educational needs site. Link to the story in the comments ...

Did you ever get a response to this? My memory was triggered by a random Facebook post in my feed
www.facebook.com/bostonstanda...

Becoming popular by ditching your bffs and pretending to like what all the cool kids like
Or just play Mean Girls

Just don't read "Nuclear War: A Scenario", it's not worth your time (I gave it a two out of five).

I spoke with a member of staff at my wall a few weeks ago, and he told us about his crypto friend who'd implored his mates to go in on $TRUMP as he stressed it was an opportunity for creating serious money. The staff member said his friend ended up making high five-figures.

Well... are you really a Northerner if it *doesn't*?

I thought I was unusual for having sets of old clothes to be worn when getting my hair cut. I’ve just seen a teenager walk topless into a barber, on this cold, drizzly February afternoon!

What do you think of the latter two? I have only seen District 9, praying for a sequel someday.

Massive coincidence but I saw @sarahjeong.bsky.social post this a while ago and I just retrieved her posts to show a friend this afternoon.

Advertisement for a new TV series called "Mahabharat - Ek Dharmayudh" on JioHotstar and StarPlus, with a tagline that reads "First-ever premium entertainment series fully powered by AI".

I think this is the series I see promoted on a billboard on one route home from my climbing gym... anyway it has a 1.4 out of 10 rating on IMDb, no mean feat!

It is getting quite hard.

So apparently the price of being 40, single, and child-less, is to hear one and only one advertisement on Spotify Free, twice per advertisement break, and that is:
"Chase is the digital bank..."

Social media; allowing people to ask the question "Is it possible for a human being to eat 11 & 1/2 kg (25 lbs) of oats in a single week?" that no-one previously thought to ask.

Supposing that a graduate tax were chosen instead of a system of student loans, would the total amount repaid over a lifetime be any different? At least the Student Loans Company can chase graduates down around the world and demand repayment. Graduate taxes might incentivise emigration to escape.

If you look at the likes of, say, Bella Wallersteiner, they previously wrote about how the Tory Party left them and how they could not vote for this version of the Tories, only to pivot back later. Luke Robert Black is yet another young Tory who inexplicably remains a Tory.

Q became C 😆

All that steak and eggs must make for some noxious farts

The Yellow Fever vaccination book is one thing but would the records within the mobile NHS app suffice for your purpose?

Gen AI creates new content - images, text - and NLP enables machines to understand and interpret human language

* Stable diffusion
* Generative adversarial networks
* Image generation
* Text classification
* Conversational AI
* Transformer models
* Fine tuning and custom models
* AI agents
* RAG

Deep learning
Uses neural networks, CNNS, RNNs with multiple layers to learn complex patterns from large amounts of data

* CNN
* Batch size and epochs
* Supervised NN
* Loss functions
* Unsupervised NN
* ANN
* Long short term memory
* Transfer learning
* RNN

Unsupervised learning
Model identifies patterns and structures in unlabelled data without explicit instructions

* K means
* Principal component analysis
* Time series clustering
* T-stochastic neighbour embedding
* Feature learning
* UMAP
* Autoencoders

Supervised learning
Techniques for training models on labelled data, learning to map inputs to correct outputs based on examples

* Linear regression
* Sentiment analysis
* Logistic regression
* Decision trees
* SVMs
* Random forest
* KNNs
* Gradient Boosting
* Naive Bayes classifier

Traditional machine learning
intro to practical machine learning applications

* Training models
* Business applications
* Basics of time series
* ML ops basics
* Model validation (train/test)
* Python frameworks
* Model evaluation metrics
* Feature selection importance
* Overfitting vs underfitting

Maths, statistics and data
Core maths concepts and methods for visualisation and analysis

* Linear algebra
* Probability
* Calculus
* Data Distributions
* Descriptive Stats
* Feature engineering
* A/B testing
* Inferential statistics
* Data preprocessing

Mariana Antaya, a product manager at Microsoft, put together this helpful list of subjects to learn on her Instagram Stories last April, which I kept a note of in case I ever needed it.

It’s of interest to me that I read this after reading much of the book East West Street, specifically the description of Hans Frank, Governor General of occupied Poland, on trial at Nuremberg, covering his left hand to disguise his earlier suicide attempt.

I need to read this to find out why I’ve been single for 10 years 😅

I need to read this to find out why I’ve been single for 10 years 😅

Virtually every influencer has some form of anti-ICE post now and the comments are incredible.