Machine Learning
1297 Threads
Introducing Python in Excel 🔥 You can now use Python right inside Excel to do: - Data Cleaning - Data Analysis - Advanced Visualizations with Matplotlib & Seaborn - Machine Learn...
I started my career in Data Science back in 2016 ⏳ Here's a detailed roadmap for those starting out today! What's covered: - Python - Machine Learning - Maths for ML - ML Books -...
✅ Principal Component Analysis ( PCA) is an important technique in ML - Explained in simple terms. A quick thread 👇🏻🧵 #MachineLearning #Coding #100DaysofCode #deepl...
MIT is offering FREE Coding Courses 🔥🔥 💻 Computer Science 🔥 Machine Learning ✨ Data Science 📈 Data Analysis 🕹️ Game Design 🧠 Computational Thinking 📱 Mobile UX 🧑💻 Engineer...
Top 5 Course for Python Developers 🧵: https://t.co/3hc6tv1Ec0
PyTorch 101: Dataset Class clearly explained! Understanding the Dataset Class is crucial for efficiently managing & preprocessing your data while building models in PyTorch! Toda...
Permit me to pique your interest: Self-Taught Optimizer (STOP) This paper reveals a powerful new capability of large language models - the ability to recursively improve how they...
Python is the new Excel. Don't be the only one stuck with 1,048,576 rows. Here are 6 resources to help you quickly get started with Python now: https://t.co/YKL8Ke5EAQ
Data Science is the hottest job of the 21st century. It's the golden ticket to earning six-figures a year. Master Data Science in 2023 with these FREE courses:
AI Engineering is going to be a high leverage skill! Here's a list of top GitHub repos on LLMs & AI Engineering! Topics covered: - LLMs - LLMOps - AI Agents - Fine-tuning LLMs -...
We always hear about supervised & unsupervised learning. But there is another way to divide ML models. A thread on Parametric and Nonparametric models. 🧵 https://t.co/pQBEMD1L5i
Knowledge Distillation is a great way to reduce model complexity. Today I will explain student-teacher models. 🧵 https://t.co/D9Ms9s1VtO
✅ Training and Evaluation in ML - Explained in simple terms. A quick thread 🧵👇🏻 #MachineLearning #Coding #100DaysofCode #deeplearning #DataScience PC : Research Gate...
Does a language model trained on “A is B” generalize to “B is A”? E.g. When trained only on “George Washington was the first US president”, can models automatically answer “Who was...
I used to write messy ML training scripts... ... until I discovered these 𝟯 𝘁𝗶𝗽𝘀. Watch this free lecture 🎬 and thread🧵↓ https://t.co/tOSjLJqIzz
10 Facts about ReLU. It is a first choice in models for a reason....
Bagging & Boosting 101 They are ensembling techniques to improve performance by combining models. But how do they work? Let's find out in this thread. 🧵 https://t.co/M4XTD3gwve
I started my career in Data Science back in 2016 ⏳ Being self-taught, I came across several courses and books, but these are some of my favourites! 📚 1️⃣ ISL Tested by time and...
Outliers do not fit in with the rest of the data. But how can an ML model identify them? Let me introduce one-class classification. 1/7 https://t.co/2mZ9gm6Kre
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...
Discover one of the most used feature scaling techniques: ✨Min-Max Scaling✨ 🧵 👇 https://t.co/1OvIENtxcs
Data preprocessing is a crucial step in the machine learning pipeline, ensuring that the dataset is ready for training. One essential aspect of data preprocessing is ✨feature scal...
It's clear AI is more than a narrative, it's the future and the now🤖 Introducing $TAO 🤯soon to be the decentralized, globally distributed, peer-to-peer marketplace for AI and Mach...
4 Python Certificates to Boost Your Resume 🔥🔥 1. Scientific Computing https://t.co/lABEhhZXkV 2. Data Visualization https://t.co/4vumnRRyvi 3. Machine Learning https://t.co/YpYH...