Master Course : Fundamentals of Machine Learning (101 level)
Machine Learning, Supervised Machine Learning, Unsupervised Machine Learning, Deep Learning, TensorFlow, Keras, NLP
4.04 (312 reviews)
23,621
students
2 hours
content
Mar 2025
last update
$19.99
regular price
What you will learn
Understand the fundamental principles of data preprocessing and supervised learning techniques.
Apply unsupervised learning methods and evaluate model performance effectively.
Implement feature engineering strategies to enhance machine learning model accuracy.
Build and train deep learning models using TensorFlow and Keras frameworks.
Develop natural language processing (NLP) solutions for text-based applications.
Analyze and interpret computer vision models and reinforcement learning algorithms.
Evaluate ethical considerations in the development and deployment of AI systems.
Explore advanced AI techniques such as generative models and transfer learning in real-world scenarios.
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udemy ID
6/29/2023
course created date
8/14/2023
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