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Hey! anybody completed graduation in Artificial intelligence and machine learning Would you like to give me some advice that what are things or skills should learn during our graduation 🎓

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

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

Why do you want to learn programming? For me, learning to code is like learning a superpower! It helps me create fun things and understand cool fields like Machine Learning and AI. Plus, it's a good backup skill for the future. What about you? W

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

How AI Security Works To Prevent Cyber Attacks | Digitdefence Learn how AI security utilizes machine learning and predictive analytics to detect and prevent cyberattacks in real-time, enhancing system protection. https://digitdefence.com/

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

Tools for developers: Unleash Machine Learning with Colab (Free!) Google Colab lets you explore machine learning without needing a fancy computer. It's free, cloud-based, and runs on powerful servers. Train complex models and analyze massive data

AI Resources for Beginners Books: 1. Deep Learning. Illustrated Edition. Ian Goodfellow, Yoshua Bengio, and Aaron Courville. 2. Mathematics for Machine Learning. Deisenroth, A. Aldo Faisal, and Cheng Soon Ong. 3. Reinforcement learning, An Introd