Napoleanic_

I Self Le/G\end Am Master♦️Analytics♦️Tribe of Shabazz▪️ 🗻Big fields are awaiting for the wide Awake man to work out. 🌟🌛

[Napoleanic_ @Napoleanic_]

Remove the Nation of Islam & Minister Farrakhan’s Good Name from All Hate Group Listings! - Sign the Petition! https://t.co/9lFl5f1pKi via @Change

[Napoleanic_ @Napoleanic_]

Do you remember when you joined Twitter? I do! #MyTwitterAnniversary

[Napoleanic_ @Napoleanic_]

Shit was all good just a week ago!

[THE HONORABLE MINISTER LOUIS FARRAKHAN @LouisFarrakhan]

Desire to be the best you that you can be because nobody can beat you being you and nobody will beat us if we want for each other what we want for ourselves.

[Saurav Jain (Open Source + Communities) @Sauain]

Five Basic Python Project Ideas 💡

🧵👇

[Santiago @svpino]

Many online courses are useless. They will not get you anywhere.

But there are gems out there.

Here is a curated list that will help you build a machine learning career without paying a fortune in tuition fees. ↓

[Santiago @svpino]

When applying to a Machine Learning role, these 6 skills will make you stand out:

1. Ability to handle data
2. Ability to tell the story of the data
3. Programming
4. Fundamentals of machine learning
5. Deep learning
6. MLOps

Let's break these down.

[Napoleanic_ @Napoleanic_]

@itskerrii Still a ⭐

[Rebecca Ramirez @rebeccalramirez]

looking for good (popular) #Math books. Any recs?

[Santiago @svpino]

Beginners guide to start with machine learning.

What you need:

1. A programming language
2. A place to write and run code
3. A way to deal with data
4. A way to visualize results
5. A cool algorithm
6. An introductory course
7. A project to solve

Here are my recommendations.

[Brad Traversy @traversymedia]

Some things I suggest learning (not mastering) before jumping to a JS framework

- Basics (data types, functions, loops, etc)
- Basic DOM Manipulation
- Arrow Functions
- Some Array Methods (forEach, map, filter)
- Async JS & Fetch API
- ES Modules, Import/Export
- NPM Basics

[Google AI @GoogleAI]

A challenge in quantum computing is understanding when a problem is better suited for a quantum computer or a classical one. Today we present research on this question, with clues to how the answer changes with the availability of supporting data. https://t.co/dc1UnGIKoa

[AI at Meta @AIatMeta]

Deep neural networks have long been considered too complicated to understand from first principles — but new research from @ShoYaida, @danintheory, and @BorisHanin does just that, presenting a theoretical framework for deep learning.

Learn more:https://t.co/So05VoUNvN

[LandingAI @LandingAI]

6 keys to creating quality images needed for training your model:
✅ Lighting
✅ Background
✅ Field of View
✅ Exposure
✅ Depth of Field
✅ Color vs black and white
Learn more: https://t.co/lPDzSotY65 @DillonLaird @ivanzhouyq #MachineVision #ComputerVision #AI

[Irene @rebuildingirene]

#30DaysofThreads

Biggest credit mistakes that I see people make, a thread:

1. Focusing on their credit “score” instead of their credit profile health. Two people with 720 credit scores and one can be denied credit for not having a strong enough credit profile.

[Streamlytics @Streamlytics]

150,000,000 data points processed! In Q2 alone we’ve doubled our total number! Thank you to our community for your support, we’re just heating up! 🔥💜

[Napoleanic_ @Napoleanic_]

@ABenton @Streamlytics Congratulations 👏🏾👏🏾👏🏾

[Sunil Kumar | Freelancing Tips @sunilc_]

20 free JavaScript e-books:

🧵👇🏻

[Pratham @Prathkum]

You can learn 90% of CSS using these 10 threads

🧵👇

[Napoleanic_ @Napoleanic_]

Live all you can; it's a mistake not to📝 #todaysmath wisdom/culture