📚 Become a professional data scientist with these 17 resources!



1️⃣ Python libraries for machine learning

◀️ Introducing the best Python tools and packages for building ML models.

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2️⃣ Deep Learning Interactive Book

◀️ Learn deep learning concepts by combining text, math, code, and images.

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3️⃣ Anthology of Data Science Learning Resources

◀️ The best courses, books, and tools for learning data science.

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4️⃣ Implementing algorithms from scratch

◀️ Coding popular ML algorithms from scratch

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5️⃣ Machine Learning Interview Guide

◀️ Fully prepared for job interviews

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6️⃣ Real-world machine learning projects

◀️ Learning how to build and deploy models.

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7️⃣ Designing machine learning systems

◀️ How to design a scalable and stable ML system.

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8️⃣ Machine Learning Mathematics

◀️ Basic mathematical concepts necessary to understand machine learning.

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9️⃣ Introduction to Statistical Learning

◀️ Learn algorithms with practical examples.

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1️⃣ Machine learning with a probabilistic approach

◀️ Better understanding modeling and uncertainty with a statistical perspective.

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1️⃣ UBC Machine Learning

◀️ Deep understanding of machine learning concepts with conceptual teaching from one of the leading professors in the field of ML,

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1️⃣ Deep Learning with Andrew Ng

◀️ A strong start in the world of neural networks, CNNs and RNNs.

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1️⃣ Linear Algebra with 3Blue1Brown

◀️ Intuitive and visual teaching of linear algebra concepts.

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🔴 Machine Learning Course

◀️ A combination of theory and practical training to strengthen ML skills.

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1️⃣ Mathematical Optimization with Python

◀️ You will learn the basic concepts of optimization with Python code.

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1️⃣ Explainable models in machine learning

◀️ Making complex models understandable.

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⚫️ Data Analysis with Python

◀️ Data analysis skills using Pandas and NumPy libraries.


✅ @MachineLearning_Programming

Build Your Social Media Automation Agent

What if you could create a month’s worth of social media content in just one hour? Our AI workshop shows you how

Date: Thursday, 24th April at 9 PM IST

Registration Link: https://lu.ma/08r6okdy?tk=TyIt92

This session is led by Satvik, founder of Build Fast With AI, an IIT Delhi graduate and AI expert who has trained over 10,000 people!

🔗 SOURCE

❇️ CFG-Zero*: Improved Classifier-Free Guidance for Flow Matching Models 🔥

Join my channel:
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@Deeplearning_ai

🚨 FREE MLOps TRAINING ALERT 🚨

💼 Earn up to ₹35.1 Lakhs/Year as a Certified MLOps Engineer!

🚀 Master MLOps & LLMOps on AWS, Azure, GCP, and Open-Source Tools!

🔥 LIMITED SPOTS – Act Fast!
📝 Secure Your Spot Now:

https://www.eventbrite.com/e/mlops-specialization-course-demo-tickets-710123256777

💡 Transform Your Career with our Expert Training!

🎯 Share with fellow ML Enthusiasts and future tech leaders!
#MLOps #AI #TechCareers #FreeTraining

FastVLM: Efficient Vision Encoding for Vision Language Models

Code: https://github.com/apple/ml-fastvlm

Paper: https://www.arxiv.org/abs/2412.13303


✅ @MachineLearning_Programming

🚀 Introducing: Face Landmark Auto-Labeling Toolkit 🧠
📌 The Ultimate Tool for Facial Landmark Detection & Dataset Creatio

Tired of manually annotating facial landmarks? Here's a deep learning-powered desktop app that will change your workflow forever!

🔧 Key Features:
✅ 68-point facial landmark detection (PIPNet + ONNX)
✅ Modern GUI with theme support (Tkinter + TTKBootstrap)
✅ Smart drag-and-drop editing
✅ Batch processing of entire folders
✅ Export as .json and .pts
✅ Real-time dataset statistics

📽️ See it in action:
▶️ Demo Video #1
▶️ Demo Video #2

🌟 Star the repo & share with your community!
🔗 GitHub: https://github.com/Shohruh72/Landmark-Auto-Label

https://github.com/Shohruh72


@deeplearning_ai

🌟 SmolVLM Realtime Inference UI

On-device vision–language in your browser—webcam, video & image. Zero-config HTML/JS powered by llama.cpp.


🚀 Try it: https://github.com/Shohruh72/SmolVLM-UI

Join my channel:
👇👇👇👇👇👇
@Deeplearning_ai