Vosco Pereira

@InfoUNTL

[Swapna Kumar Panda @swapnakpanda]

11 O'Reilly FREE Books

- Data Analysis
- Data Science
- Machine Learning
- Deep Learning

[Victor @victor_explore]

Complete course on linear algebra with immersive visualizations(link in comment)

[RadioGenoa @RadioGenoa]

In Indonesia, Muslims are hunting down anyone who doesn't observe Ramadan, even Christians. This is Islam. Coming soon to your neighborhood Europe.

[Kirk Borne @KirkDBorne]

Source: @ordax on LinkedIn >>

10 YouTube channels for learning AI:

🎓 1) Andrej Karpathy – Deep yet accessible lectures on deep learning, LLMs, and an intro course on neural networks. https://t.co/JGq4zaAmif
📊 2) 3Blue1Brown – Stunning visualizations that make abstract mathematical concepts intuitive. https://t.co/SScA6QqnEc
🎙️ 3) Lex Fridman – In-depth conversations with AI leaders, offering a broader perspective on the field. https://t.co/JUeEk8A7ez
🤖 4) Machine Learning Street Talk – Technical deep dives and discussions with top AI researchers. https://t.co/8yNh0HpOIz
📚 5) StatQuest with Joshua Starmer PhD – Beginner-friendly explainers on machine learning and statistics. https://t.co/luJ72plFyx
🍉 6) Serrano Academy (Luis Serrano) – Clear and accessible content on ML, deep learning, and AI advancements.https://https://t.co/hzXa2Lsd2i
💻 7) Jeremy Howard – Practical deep learning courses and AI-powered web app tutorials. https://t.co/7dm26tsZK6
🛠️ 8) Hamel Husain – Hands-on lessons in LLMs, RAG, fine-tuning, and AI evaluations. https://t.co/pVruDAsbgP
🚀 9) Jason Liu – Expert-led lectures on RAG and AI freelancing tips for ML developers. https://t.co/M8vZqsWxml
⚙️ 10) Dave Ebbelaar – Practical guides on building AI systems and real-world applications. https://t.co/Ayd1jHYTFt

[Vosco Pereira @vcoreira]

Thanks @elonmusk

[Elon Musk @elonmusk]

116

[Vosco Pereira @vcoreira]

@RadioGenoa Not at all

[Vosco Pereira @vcoreira]

@DorisW @EuropeInvasionn Or start a pig farm there

[Vosco Pereira @vcoreira]

He looks completely inbred, just deport him to his homeland.

[Dr. Maalouf ‏ @realMaalouf]

This Palestinian protester has become the face of the pro-Palestinian movement in Germany.

He has been arrested several times for attacking the police and German people, but he never learns.

So German citizens have now started a petition for him to be deported!

[AshutoshShrivastava @ai_for_success]

In 5-6 years this will be real.

[Movies with Milan 🍿 @MilanBarsopia]

25 Films To Watch “Alone” 😉

A thread 🧵

[Swapna Kumar Panda @swapnakpanda]

Data Science courses w/ Certificates (FREE)

❯ Python
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❯ SQL
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❯ Data Analysis
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❯ Mathematics & Statistics
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❯ Probability
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❯ Machine Learning
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❯ Deep Learning
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[Levi @levikul09]

The math behind Bayes' Theorem clearly explained!

🧵

[Kirk Borne @KirkDBorne]

How a young statistician identified a cognitive bias called "Survivorship Bias" and saved lives:

During World War II, the U.S. wanted to add reinforcement armor to specific areas of its planes.

Analysts examined returning bombers, plotted the bullet holes and damage on them (as in the image below), and came to the conclusion that adding armor to the tail, body, and wings would improve their odds of survival.

But a young statistician named Abraham Wald noted that this would be a tragic mistake.

By only plotting data on the planes that returned, they were systematically omitting the data on a critical, informative subset:

The planes that were damaged and unable to return.

• The "seen" planes had sustained damage that was survivable.
• The "unseen" planes had sustained damage that was not.

Wald concluded that armor should be added to the *unharmed* regions of the returning planes (the areas without bullet holes on the image below).

His profound logic: Where the survivors were unharmed was actually where the planes were most vulnerable.

Based on his insight, the military reinforced the engine and other vulnerable parts, significantly improving the safety of the crews during combat and saving thousands of lives.

Abraham Wald had identified a cognitive bias called "Survivorship Bias":

The error resulting from systematically focusing on survivors (successes) and ignoring casualties (failures) that causes us to miss the true base rates of survival (the actual probability of success) and arrive at flawed conclusions.

Survivorship Bias is all around us — its cost to business can be huge.

When we fail to consider the range of outcomes and the hidden evidence, we develop a skewed (and often incorrect) view of reality.

What is unseen often has more value than what is seen.

Source for this post: https://t.co/3mjCVJOQMY

[The Cultural Tutor @culturaltutor]

12 Reasons Why Cities Need More Trees:

1. Temperature Control

One large tree is equivalent to 10 air conditioning units, and the shade they provide can reduce street temperature by more than 30%.

2. Noise Reduction

Trees can reduce loudness by up to 50%. In urban areas filled with the sound of cars, construction, sirens, aeroplanes, and music, trees are essentially the best way to block noise and keep cities — along with the homes and workplaces in them — quieter.

3. Air Purity

Trees remove an astonishing amount of harmful pollutants and toxins from the air. In urban areas air quality is often disastrously bad — with severe consequences for our health. Trees make the air we breathe much cleaner.

4. Oxygen

And, while absorbing all those pollutants, trees also put more oxygen back into the urban environment. Oxygen levels are significantly lower in cities compared to the countryside; trees help to solve that problem.

5. Water Management

Trees do more than just shelter us and our buildings from rain — which is, in fact, extremely important. They also absorb huge quantities of water, reduce run-off, neutralise the severity of flooding, and make flooding more unlikely altogether. Not to forget that their roots absorb pollutants and prevent them from feeding back into a city's water supply.

6. Psychological Health

Studies have proven what we instinctively know to be true: that human beings are significantly happier when surrounded by nature rather than sterile urban environments. Our emotions, behaviour, and thoughts are shaped by the places we spend time — and trees have a profoundly positive effect on our psychology. The consequential benefits of being happier and more peaceful — as individuals and as a society — are immense.

7. Physical Health

Beyond all the other ways in which trees improve air quality and the urban environment, much to the benefit of our health, they also encourage people to go outside. Cycling, running, and walking are all more common in urban areas with plenty of trees. A knock-on effect of people spending more time outdoors is also social integration and stronger communities.

8. Privacy

A simple point, but not inconsequential, is that trees provide privacy.

9. Economics

The total economic benefit of urban trees is hard to calculate. There are costs, of course, including the repair of infrastructure damaged by roots and maintaining the trees themselves. But the total economic benefit — a consequence of everything else in this list and more — far outweighs the expenditure. Trees make cities wealthier.

10. Wildlife

Trees are miniature cities all of their own, serving as a habitat for hundreds of different species, including birds and mammals and insects.

11. Light Pollution

Trees don't only block the light shining down, therefore keeping us and our cities cooler — they also disrupt light shining up, from street lighting, cars, houses, and billboards. Skies are clearer in cities with more trees.

12. Aesthetics

And, finally, trees are beautiful. They break up the potential monotony of urban environments — the sharp geometry, the greyscale roads and buildings, the endless rows of cars — with their trunks, boughs, canopies, and flowers.

Just think: the gold and red of falling leaves in autumn, the white and pink blossom of spring, the vast green canopies of summer, and the branches lined with hoar-frost in winter. Every single tree is a myriad of intricacy and texture, of colour and scent, of dappled light on the pavement, mottled bark, knotted roots, of clustered leaves and delicate petals and stern boughs.

Few streets would not be improved by the kaleidoscopic aesthetic delights of a tree, not to mention the many different species of tree, all over the world, whether willow, oak, lime, cherry, aspen, maple, birch, horse chestnut, dogwood, hornbeam, ash, sycamore... the list goes on.

There are some drawbacks to urban trees, most of them context-specific, and they are not — of course — universally appropriate. But it seems fair to say that many cities would benefit from at least a few more trees here and there.

[Guido van Rossum @gvanrossum]

Yeah, so I helped the Excel team with this. Excited that it's out! https://t.co/zH1o2Fiaad

[World of Statistics @stats_feed]

What the world would look like if there were only 100 people:

18 would be from India 🇮🇳
18 from China 🇨🇳
4 from the USA 🇺🇸
3 from Indonesia 🇮🇩
3 from Pakistan 🇵🇰
3 from Nigeria 🇳🇬
3 from Brazil 🇧🇷
2 from Bangladesh 🇧🇩
2 from Russia 🇷🇺
2 from Japan 🇯🇵
2 from Mexico 🇲🇽
40 from the rest of the world🌎

Religion:

Christianity: 31 people
Muslims: 23 people
Hindus: 15 people
Buddhist: 7 people
not be religious: 16 people
Others: 8 people

Continent wise:

60 from Asia 🌏
16 from Africa🌍
10 from Europe🌍
9 from Latin America. 🌎
5 from North America 🌎

[Kirk Borne @KirkDBorne]

Download 424-page PDF eBook >> “Advanced #DataScience and #Analytics with #Python” at https://t.co/REX4XiEeYc
————
#BigData #MachineLearning #AI #Coding #DataScientists #DataAnalytics

[Essential Mastery @EssentialMastry]

5 laws to live by...

1.