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🚀 Day 1 of My Machine Learning Journey Machine Learning isn’t magic — it’s built on three strong pillars 👇 🔹 1. Mathematics You don’t need to be a professor in math ❌ Just a clear understanding of these core concepts is enough: ✔ Linear Algebra ✔

What Advice to give Beginners to learn Machine learning And Ai...

Day 2/100 : free AI resources sharing topic of day : machine learning Books ✓Machine Learning For Absolute Beginners by Oliver Theobald https://mrce.in/ebooks/Machine%20Learning%20for%20Absolute%20Beginners.pdf ✓Hands-On Machine Learning with

I wish to learn Machine Learning but however I have heard Python is necessary to learn before starting to learn ML. So can anyone suggest me some free courses for learning Python

The ultimate AI/ML roadmap for beginners 👇 𝗠𝗮𝘁𝗵𝘀 What to learn: • Linear Algebra • Calculus • Statistics Resources: • Practical Statistics for Data Science( https://amzn.to/446czl5 ) • Mathematics for Machine Learning( https://amzn.to/441s

AI Resources for Beginners Courses: 1. Stanford CS229: Machine Learning Full Course taught by Andrew NG also you can try his website DeepLearning. Al - https://www.youtube.com/playlist?list=PLoROMvodv4rMiGQp3WXShtMGgzqpfVfbU 2. Convolutional Neur

𝐋𝐞𝐯𝐞𝐥 𝐔𝐩 𝐘𝐨𝐮𝐫 𝐀𝐈 𝐒𝐤𝐢𝐥𝐥𝐬 𝐢𝐧 𝟐𝟎𝟐𝟓 — 𝐓𝐡𝐞 𝐎𝐧𝐥𝐲 𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞𝐬 𝐘𝐨𝐮’𝐥𝐥 𝐍𝐞𝐞𝐝 AI skills are 𝐞𝐬𝐬𝐞𝐧𝐭𝐢𝐚𝐥 in 2025 as they enhance job security and productivity across industries, with employers increasingly

Excited to dive into Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow Machine learning is evolving rapidly, and this book is a goldmine for anyone looking to build intelligent systems using the latest tools and frameworks. From Scikit

Hi! I’m Yashavanth. I know Python, Machine Learning, and C. Looking for a startup where I can learn and grow. Let’s connect!

Looking for an AI/ML Internship! Passionate about Machine Learning, Deep Learning & AI projects. Ready to learn, build, and contribute! DM if you know any opportunities. #InternshipHunt #AI #ML #OpenToWork