Introduction to Machine Learning with TensorFlow
|
Explore machine learning concepts and applications using the TensorFlow framework.
The Introduction to Machine Learning with TensorFlow program covers supervised and unsupervised learning methods for machine learning. Course 1 introduces regression, perceptron algorithms, decision trees, naive Bayes, support vector machines, and evaluation metrics. Course 2 focuses on neural networks and creating an image classifier. Course 3 covers unsupervised learning methods, including clustering and dimensionality reduction for customer segmentation. Key skills include data preprocessing, model selection, and evaluation using TensorFlow and Python.
User Reviews
Be the first to review “Introduction to Machine Learning with TensorFlow”
Related Products
Digital Arts and AI Tools Fluency
Gain proficiency in using AI tools for digital art creation, enhancing creativity and workflow.
Generative AI
Discover the principles and applications of generative AI, including content creation and enhancement techniques.
Generative AI Fundamentals
Explore the core concepts of generative AI, including types, models, and use cases in various domains.
Introduction to Python for AI Programmers
Learn Python programming with a focus on applications in AI and machine learning development.
Advanced Computer Vision and Deep Learning
Explore advanced topics in computer vision and deep learning techniques for complex image analysis tasks.
Building Generative Adversarial Networks
Learn to design and implement GANs for generating realistic data samples in various applications.
There are no reviews yet.