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Overview
Complete hands-on machine learning and GenAI tutorial with data science, Tensorflow, GPT, OpenAI, and neural networks What you'll learn: Build generative AI systems with OpenAI, RAG, and LLM AgentsBuild artificial neural networks with Tensorflow and KerasImplement machine learning at massive scale with Apache Spark's MLLibClassify images, data, and sentiments using deep learningMake predictions using linear regression, polynomial regression, and multivariate regressionData Visualization with MatPlotLib and SeabornUnderstand reinforcement learning - and how to build a Pac-Man botClassify data using K-Means...
Syllabus
- Getting Started
- Statistics and Probability Refresher, and Python Practice
- Predictive Models
- Machine Learning with Python
- Recommender Systems
- More Data Mining and Machine Learning Techniques
- Dealing with Real-World Data
- Apache Spark: Machine Learning on Big Data
- Experimental Design / ML in the Real World
- Deep Learning and Neural Networks
Instructor
Sundog Education by Frank Kane
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