PochiLaBiashara

LipaNaMpesa

[Cine Vichaar @Cine_vichaar]

🎬 Top 50 Greatest Films of All Time

1. The Godfather
2. The Shawshank Redemption
3. Citizen Kane
4. Seven Samurai
5. Schindler's List
6. 12 Angry Men
7. The Godfather Part II
8. Casablanca
9. The Dark Knight
10. Rear Window
11. Tokyo Story
12. 2001: A Space Odyssey
13. Bicycle Thieves
14. Singin' in the Rain
15. City Lights
16. Parasite
17. City of God
18. Cinema Paradiso
19. La Dolce Vita
20. Metropolis
21. Pulp Fiction
22. Vertigo
23. The Lord of the Rings: The Return of the King
24. Psycho
25. Apocalypse Now
26. The Good, the Bad and the Ugly
27. Sunset Boulevard
28. Chinatown
29. On the Waterfront
30. The Third Man
31. Spirited Away
32. Goodfellas
33. It's a Wonderful Life
34. Rashomon
35. The Seventh Seal
36. Fight Club
37. Inception
38. Forrest Gump
39. The Matrix
40. One Flew Over the Cuckoo's Nest
41. 8½
42. Mulholland Drive
43. North by Northwest
44. The Wizard of Oz
45. Persona
46. The 400 Blows
47. In the Mood for Love
48. Modern Times
49. All About Eve
50. Pather Panchali

[Learn Something @cooltechtipz]

Techniques for folding laundry

[Atal @ZabihullahAtal]

Google's AI and Machine learning FREE courses!

No Prerequisites are required, Perfect for all levels.

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1. Intro to Generative AI,
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Deep dive into AI basics!

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6. Duet AI in Docs,
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8. Free Learning Path on AI,
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Unravel the power of LLMs.

Embrace the future of tech with #GoogleAI! Perfect for #TechEnthusiasts and #FutureInnovators looking to level up their skills.

That's a wrap;
If you enjoyed it and found it helpful
1. Repost & Bookmark for future use.
2. Follow me @ZabihullahAtal for more about AI, AI Tools, and Tech Updates.

[Matt Dancho (Business Science) @mdancho84]

Residuals (Lesson 5 of 24): Residuals are the key to improving model performance. But it took me 5 years to figure this out. In 5 minutes, I'll share what took me 5 years to figure out. Let's go.

1. What are residuals? In statistics and machine learning, "residuals" refer to the differences between observed values and the values predicted by a model. These are your model errors.

2. Residual Analysis: The key to understanding if your model is any good is residual analysis. What I'm looking for is: Linearity, Homoskedasticity (constant variance), and lack of pattern.

3. Why it took me 5 years (what they don't teach you)? Residuals are a treasure trove of information. I assumed if the "diagnostic plots" in the Residual Analysis looked good, I was good. This is wrong.

4. The 2 mistakes I made: When residuals didn't look good, I tried to create a more complex model (Mistake 1). When I thought the residuals "looked good", I'd stop modeling and move on (Mistake 2).

5. My Epiphany 💡 (The Residual Trick): In 2019, I was researching time series competitions, and I stumbled upon one where the 2nd place solutions used what I call "Residual Modeling". The concept isn't new (in fact ARIMA actually uses residual modeling to model the errors in the "MA" part of the ARIMA model). But what was new was using XGBoost to do it. A light bulb went off...

6. The Residual Trick: What would often happen in my time series models is that ARIMA (or SARIMAX more specifically) would leave information in the residuals. Through trial and error, I found that adding an XGBoost model on the residuals of the first-pass ARIMA model worked awesome for extracting more information.

7. Birth of ARIMA Boost: In my Modeltime R package, I turned this simple 2-step process into a model called "ARIMA Boost". And it combines the strengths of both models. ARIMA for trend and basic seasonality. XGBoost for xregs and multiple seasonality.

Links (ARIMA Boost): https://t.co/kyxmXIysX9

===

Ready to learn Data Science for Business?

I put together a free on-demand workshop that covers the 10 skills that helped me make the transition to Data Scientist: https://t.co/LR39RJ5XKB

And if you'd like to speed it up, I have a live workshop where I'll share how to use ChatGPT for Data Science: https://t.co/EaMpKrJiqX

If you like this post, please reshare ♻️ it so others can get value.

[Akshay 🚀 @akshay_pachaar]

My lecture at MIT!✨

From Physics to Linear Algebra & Machine learning, I have learned a lot from MIT!

Yesterday, I had the honour of delivering a guest lecture on The state of AI Engineering, exploring:

- Prompt Engineering
- Retrieval Augmented Generation.
- Fine-Tuning Large Language Models.
- And, how LLMs are bringing a paradigm shift

Thank you @RoyShilkrot for the invitation! 🙏

Grateful for the opportunity to engage with such brilliant minds!

If you are interested AI Engineering, I write a free weekly newsletter → @ML_Spring

[Python Programming @PythonPr]

Connect, Install, and Query PostgreSQL in Python: A Step-by-Step
#postgresql #python
https://t.co/ByUn0rl4ia

[Python Coding @clcoding]

Get address and zip code using Python

[EFG Hermes Kenya @efghermeske]

Buffett, through his "Secret Millionaires Club" animated series, shares lessons with his own kids. These lessons help kids master the art of money management by empowering them to work towards their goals. Download the #EFGHermesOne #Kenya App today. https://t.co/qpI5FTmQXr.

[Craft Gallery @5min__crafts]

Easy way to fold shirt
https://t.co/rZhKiT0XDC

[Rodgers Kipembe Mpuru @RodgersKipembe]

Kenya kuboeka ni juu yako, 😂.

[Akshay 🚀 @akshay_pachaar]

We've all dealt with activation functions while working with neural nets.

- Sigmoid
- Tanh
- ReLu & Leaky ReLu
- Gelu

Ever wondered why they are so important❓🤔

Let me explain it to you today...👇

[Timeless Praise™🤴 @First_alphas]

Best series I've seen this year.

Thread 🍿:

[Kirk Borne @KirkDBorne]

HT @ujjwalscript

Start learning #Python for FREE:

1. https://t.co/5yOuz0F0PF

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3. https://t.co/ayUwpvkCkL

4. https://t.co/nUHr4O2NCk

5. https://t.co/lXfhSjzC7L

6. https://t.co/ouhD9Am7U3
———
#DataScience #DataScientists #MachineLearning #Analytics

[Billy, The GOAT @_CrazyNairobian]

Kumbe ni Friday...

[NJAMBI❄️ @njambifever]

Ndio hii chai ya Lil Maina sasa. So walienda Diani Summer Tides na hawakuwa na pesa. Saahii anadishi manzi anaitwa Wangare sijui kama ni real girlfriend ama hookup tu. Anyway wakaenda Diani bila pesa but the girl’s friend called Muthoni ndio alikuwa ananunua drinks … (Thread)

[Kirk Borne @KirkDBorne]

Tiny #Python Projects — 21 small fun projects for Python beginners designed to build programming skill, teach new algorithms and techniques: https://t.co/dl40lMvP1l
————
#Coding #BigData #DataScience #AI #MachineLearning #DataScientists #100DaysOfCode

[Matt Dancho (Business Science) @mdancho84]

There are more than 10,685,000 people learning to work with data.

Yet most data science jobs now have over 1000+ applicants.

And only 5 actually make it to an interview.

Use these 4 skills to stand out (free to steal & use to advance your career).

#datascience #career #skills

[Moyinoluwa Ánòmá @moyinoluwaanoma]

Learn Data Analytics for free with these resources:

📊 1. Excel: https://t.co/RUCWBfSY4K

📊 2. Tableau: https://t.co/oINwKzAPK7

📊 3. PowerBi: https://t.co/Hn2asyWiUg

📊 4. SQL: https://t.co/urHXZGP4pU

📊 5. Python: https://t.co/W1bFdofjdt

I hope these help, ✨.

#datanerd

[TurboDiesel @alexmwanzo]

Siku za kueka mtungi kwa boot kama madere wa githurai ziliisha.
Get this powerful underseat sub that delivers immense insane bass with minimum footprint
Or just upgrade your entire audio unit with @Keen_Audio
They will update anything from your LC300 to a vitz