Data Science
Showing 1021–1032 of 1577 results
Machine Learning System Design
Gain insights into ML system design, state-of-the-art techniques, and best practices for scalable production. Learn from top researchers and stand out in your next ML interview.
Machine Learning with NumPy, pandas, scikit-learn, and More
This course equips learners with practical data analysis and machine learning with pandas and other frameworks such as NumPy and TensorFlow.
Machine Learning with Python – Practical Application
Many problems are solved using Machine Learning. This course will teach you how to pick the ML algorithm that can help you create the right ML model to solve the problem at hand.
Machine Learning: Artificial Intelligence Decision Making with Minimax
Teach computers how to make decisions and play games with the Minimax Algorithm!
Machine Learning: Clustering with K-Means
Level up your machine learning skills by using unsupervised learning to find patterns hidden in data.
Machine Learning: Introduction with Regression
Get started with machine learning and learn how to build, implement, and evaluate linear regression models.
Machine Learning: K-Nearest Neighbors
Sharpen your machine learning skills by learning how to prepare, implement, and assess the K-Nearest Neighbors algorithm.
Machine Learning: Logistic Regression
Predict the probability that a datapoint belongs to a given class with Logistic Regression.
Machine Learning: Perceptrons
Level up your machine learning skills by learning how to build perceptrons: the foundations of neural networks.
Machine Learning: Random Forests & Decision Trees
Learn how to build decision trees and then build those trees into random forests.
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.
Make data available in Azure Machine Learning
Learn about how to connect to data from the Azure Machine Learning workspace. You're introduced to datastores and data assets.