#howtolearnmachinelearning arama sonuçları

Shraddha Bharuka

24 sa

🚀 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗡𝗼𝘁𝗲𝘀 (𝗛𝗮𝗻𝗱𝘄𝗿𝗶𝘁𝘁𝗲𝗻 𝗣𝗗𝗙) Master the core of 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 —algorithms, models, training, evaluation & real-world examples. Perfect for interviews & AI enthusiasts! 🤖📊 📘FREE for the first 500 people! 1.…

BharukaShraddha's tweet image. 🚀 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗡𝗼𝘁𝗲𝘀 (𝗛𝗮𝗻𝗱𝘄𝗿𝗶𝘁𝘁𝗲𝗻 𝗣𝗗𝗙)

Master the core of 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 —algorithms, models, training, evaluation &amp; real-world examples. Perfect for interviews &amp; AI enthusiasts! 🤖📊

📘FREE for the first 500 people!

1.…

Vipin Gautam (Viipin I Gautam)

@viipin8

31 Eki

If you still don’t understand AI in 2025, you’re already behind. The world’s smartest professionals are reskilling. FAST. Here are 8 free AI courses from Google, Harvard & OpenAI that will turn you from “AI user” to AI strategist.

viipin8's tweet image. If you still don’t understand AI in 2025, you’re already behind.

The world’s smartest professionals are reskilling. FAST.

Here are 8 free AI courses from Google, Harvard &amp; OpenAI that will turn you from “AI user” to AI strategist.

AI StackLab

@AIStackLabX

4 sa

AI = (Clarity + Context + Creativity) × Precision Smart prompts aren’t written, they’re engineered. These 17 rules are your formula for unlocking machine intelligence. Master the equation, and you master ChatGPT. Precision in input = brilliance in output.

AIStackLabX's tweet image. AI = (Clarity + Context + Creativity) × Precision

Smart prompts aren’t written, they’re engineered.

These 17 rules are your formula for unlocking machine intelligence.

Master the equation, and you master ChatGPT.

Precision in input = brilliance in output.

HereIsYourAi

@Ai_here202

30 Eki

This "AI Engineering" Book is Goat But here’s the secret: Its GitHub repo has a goldmine Learn LLM apps, prompt engineering, fine-tuning, RAG & more. To Get it: 1. Follow me (so I can DM you) 2. Repost 3. Comment "AI"

Ai_here202's tweet image. This "AI Engineering" Book is Goat

But here’s the secret:
Its GitHub repo has a goldmine

Learn LLM apps, prompt engineering, fine-tuning, RAG &amp; more.

To Get it:

1. Follow me (so I can DM you)
2. Repost
3. Comment "AI"

Dr. Khulood Almani | د.خلود المانع

@Khulood_Almani

14 Ara

💥🤖How Does #MachineLearning Work❓➡️ (Secrets of smart machines)🧠📊 ✨ ✅Here Is How It Works ⤵️ 1. Collects the #data 2. Prepares the data 3. Chooses an algorithm 4. Trains the model 5. Tests the model 6. Adjusts the model 7. Makes predictions and decisions 8.…

Khulood_Almani's tweet image. 💥🤖How Does #MachineLearning Work❓➡️ (Secrets of smart machines)🧠📊 ✨

✅Here Is How It Works ⤵️
1. Collects the #data
2. Prepares the data
3. Chooses an algorithm
4. Trains the model
5. Tests the model
6. Adjusts the model
7. Makes predictions and decisions
8.…

Sam

@Sam_web4

1 sa

Remember, I told you that AI hasn’t reached its peak yet? Now, this is why... x402 x AI — #x402 all you need to know + AI positionning! Let’s talk about x402 and how it’s positioned to make AI even bigger!! Short thread 🧵

Sam_web4's tweet image. Remember, I told you that AI hasn’t reached its peak yet? Now, this is why...

x402 x AI — #x402 all you need to know + AI positionning!

Let’s talk about x402 and how it’s positioned to make AI even bigger!!

Short thread 🧵

Andrew Bolis

@AndrewBolis

30 Eki

If you want ChatGPT to do high-quality research. Start by improving the prompts you’re using. Here are 15 prompts to help you structure research from idea to output. [ 🔖 bookmark this post for later ] 1. Create a Research Plan 2. Brainstorm Research Topics 3. Review Recent…

AndrewBolis's tweet image. If you want ChatGPT to do high-quality research.

Start by improving the prompts you’re using.

Here are 15 prompts to help you structure research from idea to output.

[ 🔖 bookmark this post for later ]

1. Create a Research Plan
2. Brainstorm Research Topics
3. Review Recent…

Thinking Machines

@thinkymachines

26 Eyl

Efficient training of neural networks is difficult. Our second Connectionism post introduces Modular Manifolds, a theoretical step toward more stable and performant training by co-designing neural net optimizers with manifold constraints on weight matrices.…

thinkymachines's tweet image. Efficient training of neural networks is difficult. Our second Connectionism post introduces Modular Manifolds, a theoretical step toward more stable and performant training by co-designing neural net optimizers with manifold constraints on weight matrices.…

Beginnersblog

@beginnersblog1

29 Eki

8 Machine Learning Algorithms ( A quick revision) 👇 1. Linear Regression: Predicts numbers (e.g., house prices). Straight line fit. Easy, but sensitive to outliers. 2. Logistic Regression: Predicts categories (e.g., spam/not spam). Uses probabilities. Great for classification.…

beginnersblog1's tweet image. 8 Machine Learning Algorithms ( A quick revision) 👇

1. Linear Regression: Predicts numbers (e.g., house prices). Straight line fit. Easy, but sensitive to outliers.

2. Logistic Regression: Predicts categories (e.g., spam/not spam). Uses probabilities. Great for classification.…

Dhanian 🗯️

@e_opore

3 sa

LLMs (Large Language Models) Learning Roadmap |-- Foundations of Machine Learning | |-- Linear Algebra, Probability & Statistics | |-- Supervised, Unsupervised & Reinforcement Learning | |-- Model Training, Validation & Evaluation | |-- Overfitting, Regularization &…

e_opore's tweet image. LLMs (Large Language Models) Learning Roadmap

|-- Foundations of Machine Learning
| |-- Linear Algebra, Probability &amp; Statistics
| |-- Supervised, Unsupervised &amp; Reinforcement Learning
| |-- Model Training, Validation &amp; Evaluation
| |-- Overfitting, Regularization &amp;…

MIT CSAIL

@MIT_CSAIL

6 Eyl

A free beginner’s guide to machine learning: bit.ly/45Ho2rS v/@swapnakpanda

.RW🦦

@weloverw

2 sa

how to study and learn really difficult subjects: 1. don’t panic. hard just means dense. it’s not impossible, it’s just packed. unwrap it slowly. 2. get a map before diving in. watch an overview video, read the table of contents, or skim the wikipedia page. you need context…

Alex Xu

@alexxubyte

22 sa

Why is DeepSeek-OCR such a BIG DEAL? Existing LLMs struggle with long inputs because they can only handle a fixed number of tokens, known as the context window, and attention cost grows quickly as inputs get longer. DeepSeek-OCR takes a new approach. Instead of sending long…

alexxubyte's tweet image. Why is DeepSeek-OCR such a BIG DEAL?

Existing LLMs struggle with long inputs because they can only handle a fixed number of tokens, known as the context window, and attention cost grows quickly as inputs get longer.

DeepSeek-OCR takes a new approach.

Instead of sending long…

Ruben Hassid

@RubenHssd

30 Eki

Andrej Karpathy says you should learn AI depthwise, not breadthwise. Most education is breadthwise: watch lectures, memorize formulas, and trust you'll need it later. Karpathy flips this by learning "depthwise, on demand." What this means: Pick a project, start building, and…

Wenli Xiao

@_wenlixiao

21 sa

What if robots could improve themselves by learning from their own failures in the real-world? Introducing 𝗣𝗟𝗗 (𝗣𝗿𝗼𝗯𝗲, 𝗟𝗲𝗮𝗿𝗻, 𝗗𝗶𝘀𝘁𝗶𝗹𝗹) — a recipe that enables Vision-Language-Action (VLA) models to self-improve for high-precision manipulation tasks. PLD…