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This Machine Learning Full Course 2025 by Simplilearn offers a structured learning path for beginners and professionals looking to deepen their expertise. The journey starts with Machine Learning Basics, followed by an exploration of What is Machine Learning and its connection to Deep Learning. A comprehensive ML tutorial then introduces key algorithms like K-Nearest Neighbors (KNN), Linear Algebra for ML, and Q-Learning. The course also covers LLM Benchmarking, Stable Diffusion, and Hugging Face, crucial for working with AI models. More advanced topics include Reinforcement Learning, Meta's latest Lama 3.2, Confusion Matrix analysis, and LSTMs. Practical knowledge is reinforced through Machine Learning Projects and insights into Agentic AI and AI monetization strategies. Finally, the course wraps up with Machine Learning Interview Questions, ensuring learners are well-prepared for real-world applications and job opportunities.
Following are the topics covered in the Machine Learning Full Course 2025:
00:00:00 Introduction to Machine Learning Full Course 2025
00:07:32 Machine Learning Basics
01:04:03 What is Machine Learning
01:11:02 Deep Learning
04:07:41 Machine Learning Tutorial
04:11:25 KNN Tutorial
04:40:10 Linear Algebra for Machine Learning
04:41:00 Q Learning
05:11:35 LLM Benchmarking
05:22:10 Stable diffusion tutorial
06:12:30 Hugging face
10:39:35 Reinforcement Learning
10:47:53 Meta New Lama 3.2
11:06:04 Confusion Matrix Machine Learning
11:12:16 LSTM
11:12:49 Machine Learning Projects
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➡️ About Caltech Post Graduate Program In AI And Machine Learning
Designed to boost your career as an AI and ML professional, this program showcases Caltech CTME's excellence and IBM's industry prowess. The artificial intelligence course covers key concepts like Statistics, Data Science with Python, Machine Learning, Deep Learning, NLP, and Reinforcement Learning through an interactive learning model with live sessions.
Key Features
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ PGP AI & ML completion certificate from Caltech CTME
✅ Masterclasses delivered by distinguished Caltech faculty and IBM experts
✅ Caltech CTME Circle Membership
✅ Earn up to 22 CEUs from Caltech CTME
✅ Online convocation by Caltech CTME Program Director
✅ IBM certificates for IBM courses
✅ Access to hackathons and Ask Me Anything sessions from IBM
✅ 25+ hands-on projects from the likes of Twitter, Mercedes Benz, Uber, and many more
✅ Seamless access to integrated labs
✅ Capstone projects in 3 domains
✅ 8X higher interaction in live online classes by industry experts
Skills Covered
✅ Statistics
✅ Python
✅ Supervised Learning
✅ Unsupervised Learning
✅ Recommendation Systems
✅ NLP
✅ Neural Networks
✅ GANs
✅ Deep Learning
✅ Reinforcement Learning
✅ Speech Recognition
✅ Ensemble Learning
✅ Computer Vision
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