310 results for "machine learning foundations"
Skills you'll gain: Cloud Computing
Amazon Web Services
Skills you'll gain: Data Analysis, Machine Learning
Stanford University
Skills you'll gain: Bayesian Network, General Statistics, Probability & Statistics, Graph Theory, Bayesian Statistics, Markov Model
- Status: Free
Scrimba
Skills you'll gain: Computer Programming, Javascript, Machine Learning
Microsoft
Skills you'll gain: Cloud Computing, Cloud Infrastructure, Data Management, Database Administration, Database Application, Databases, Microsoft Azure, PostgreSQL, SQL, NoSQL
Duke University
Skills you'll gain: Machine Learning, Python Programming
Duke University
Skills you'll gain: Amazon Web Services, Big Data, DevOps, Machine Learning
University of California, Davis
Skills you'll gain: Data Analysis, Data Model, Exploratory Data Analysis, Python Programming, SQL
Stanford University
Skills you'll gain: Bayesian Network, Machine Learning, Probability & Statistics, Human Learning, Algorithms
The Hong Kong University of Science and Technology
Skills you'll gain: BlockChain, FinTech, Finance, Banking, Data Analysis, E-Commerce, Innovation, Payments, Exploratory Data Analysis, Financial Accounting
The Hong Kong University of Science and Technology
Skills you'll gain: Calculus, Linear Algebra, Mathematical Theory & Analysis, Mathematics, Differential Equations, Algebra, Critical Thinking, Geometry, Continuous Integration
Searches related to machine learning foundations
In summary, here are 10 of our most popular machine learning foundations courses
- Introduction to AI and Machine Learning on Google Cloud:Â Google Cloud
- Fundamentals of Generative AI for Beginners:Â Amazon Web Services
- Probabilistic Graphical Models 2: Inference:Â Stanford University
- Learn to code with AI:Â Scrimba
- Microsoft Azure SQL:Â Microsoft
- Introduction to Generative AI:Â Duke University
- SIEM Splunk Hands-On Guide:Â EDUCBA
- DevOps, DataOps, MLOps:Â Duke University
- SQL for Data Science Capstone Project:Â University of California, Davis
- Probabilistic Graphical Models 3: Learning:Â Stanford University