AI Frameworks Explained: A Beginner’s Guide #3 #Ai #ML #new
Previously we talked about Python and statistics of AI. Going forward to the next point.
Now ai basics learning with frameworks.
4. Dive into Machine Learning
What: Learn supervised learning (regression, classification), unsupervised learning (clustering), and reinforcement learning.
Free Resources: Coursera’s Machine Learning by Andrew Ng (Stanford) – ~60 hours
Google’s free ML Crash Course – ~15 hours
Practice: Kaggle’s free courses and datasets for hands-on projects (e.g., Titanic dataset).
5. Explore Deep Learning and Neural Networks
What: Deep learning powers advanced AI (e.g., image recognition, NLP). Learn about neural networks, backpropagation, and frameworks like TensorFlow or PyTorch.
Free Resources: Deep Learning Specialization (~3 months)
YouTube: XX Learning AI and Siraj Raval tutorials
Book: Deep Learning by Goodfellow, Bengio, and Courville (technical but comprehensive)
Machine Learning, Deep Learning, Neural Networks
machine learning #generativeai game development #deep learning
How I’d learn ML in 2025.
If you want to learn AI/ ML in 2025
#artificial neural network #ai develoment #ai for beginners
AI – ML – DL and Generative AI video. Want to learn about AI agents.
#ai tools #neural network deep learning #deeplearning ai
Machine Learning vs Deep Learning
#MLtutorial # MLproject # ML in AI
Learn in demand AI skill. AI in machine learning
What is an AI. Artificial Intelligence course for beginners
#neural network in ai #future tech
Part 1 :- https://youtube.com/shorts/IiCQuLN3ZTY?si=lUUg2nimb3OPxo2X
Part2:- https://youtube.com/shorts/liK4fmzVJmM?si=DAvIiASpDXtWPV-X
Part 3:- https://youtube.com/shorts/Nc1hbHU9rqw?si=s62cs5ESkNbA5nj8
iPhone 17 series :- https://youtube.com/shorts/DgDRejwghPY?si=D91mAbSSkb7q_RBS
how i learn ai in 2025
what are the tos used for ai
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ai kaise sikhe
ai sikhne ke liye kya karna padta hai
what is machine learning?
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Intelligence Book
what is Generative AI?
Is AI is dangerous for human?
AI is dangerous for job?
what is Data Handling?
What are the Data Tools?
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