Artificial Intelligence
Showing 409–420 of 563 results
Machine Learning and DeepLearning for Interview and Research
Detailed machine learning, and deep learning concepts and case studies with implementation
Machine Learning Engineer with Microsoft Azure
Acquire the skills needed to build and deploy machine learning models using Microsoft Azure's tools and services.
Machine Learning For Absolute Beginners
A complete guide to master machine learning concepts and create real world ML solutions
Machine Learning for Trading
Explore machine learning techniques for developing trading algorithms and strategies in financial markets.
Machine Learning in Physics: Glass Identification Problem
Apply machine learning techniques to solve physics problems
Machine Learning Interview Preparation
Prepare for machine learning job interviews with essential concepts, techniques, and practice problems.
Machine Learning Terminology & Process For Beginners
Learn Machine Learning Terminology & Process and gain solid understanding along with hand-on labs. Master 5 Steps of ML
Machine Learning With TensorFlow The Practical Guide
A comprehensive source to help you learn Machine learning with TensorFlow
Machine Learning: Artificial Intelligence Decision Making with Minimax
Teach computers how to make decisions and play games with the Minimax Algorithm!
Machine Learning: Perceptrons
Level up your machine learning skills by learning how to build perceptrons: the foundations of neural networks.
Machine Learning/AI Engineer
Machine Learning/AI Engineers build end-to-end ML applications and power many of the apps we use every day. They work in Python, Git, & ML.
Machine Teaching for Autonomous AI
In this path, you'll learn to design and implement a new AI paradigm called Machine Teaching for Autonomous AI. Machine Teaching uses the knowledge of subject matter experts to teach AI. Machine Teaching integrates known control methods, for stable control, Machine Learning, for advance perception, and Deep Reinforcement Learning, for learning strategies and human-like decision making. The deployment in industrial processes without disruption and providing real business value is considered from its design. Machine Teaching for Autonomous AI stores expert operators' skill set, and it helps companies achieve new levels of optimization for competitiveness, profitability, and sustainability. The hands-on development of Autonomous solutions will be taught using the Microsoft Project Bonsai Platform, a low-code platform where Machine Teaching is used to the implementation, training, and validation of Bonsai brains.