Filter by
The language used throughout the course, in both instruction and assessments.
Results for "introduction to machine learning"
DeepLearning.AI
Skills you'll gain: Applied Mathematics, Calculus, NumPy, Machine Learning, Jupyter, Python Programming, Artificial Neural Networks, Deep Learning, Visualization (Computer Graphics), Derivatives
Corporate Finance Institute
Skills you'll gain: Feature Engineering, Data Science, Data Analysis, Business Analytics, Statistical Methods, Predictive Analytics, Data-Driven Decision-Making, Regression Analysis, Data Modeling, Business Intelligence, Machine Learning, Supervised Learning, Exploratory Data Analysis
Skills you'll gain: Machine Learning, Applied Machine Learning, Human Learning, Machine Learning Algorithms, Data Science
DeepLearning.AI
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Tensorflow, Supervised Learning, Deep Learning, Random Forest Algorithm, Artificial Neural Networks, Algorithms, Regression Analysis, Performance Tuning
University of California San Diego
Skills you'll gain: Exploratory Data Analysis, Apache Spark, Big Data, Regression Analysis, Data Mining, Applied Machine Learning, Statistical Analysis, Machine Learning, Data Analysis, Data Transformation, Predictive Modeling, Data Cleansing, Supervised Learning
Alberta Machine Intelligence Institute
Skills you'll gain: Algorithms, Human Learning, Machine Learning, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Software, Exploratory Data Analysis, Regression
University of Washington
Skills you'll gain: Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Deep Learning, Classification And Regression Tree (CART), Computer Vision, Predictive Modeling, Natural Language Processing, Text Mining, Python Programming
University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Algorithms, Deep Learning, Systems Development, Simulations, Solution Architecture, Feature Engineering, Markov Model, Supervised Learning, Artificial Neural Networks, Applied Machine Learning, Performance Testing, Algorithms, Statistical Methods, Pseudocode, Linear Algebra
University of Colorado Boulder
Skills you'll gain: Deep Learning, Machine Learning
Duke University
Skills you'll gain: Deep Learning, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Computer Vision, Supervised Learning, Statistical Methods, Natural Language Processing, Predictive Modeling, Performance Metric
Alberta Machine Intelligence Institute
Skills you'll gain: Machine Learning, Human Learning
Alberta Machine Intelligence Institute
Skills you'll gain: Data Analysis, Machine Learning, Applied Machine Learning, Human Learning, Machine Learning Algorithms, Computer Programming, Linear Algebra, Python Programming, Statistical Analysis
Searches related to introduction to machine learning
In summary, here are 10 of our most popular introduction to machine learning courses
- Calculus for Machine Learning and Data Science: DeepLearning.AI
- Data Science & Machine Learning Fundamentals: Corporate Finance Institute
- Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls: SAS
- Advanced Learning Algorithms: DeepLearning.AI
- Machine Learning With Big Data: University of California San Diego
- Machine Learning Algorithms: Supervised Learning Tip to Tail: Alberta Machine Intelligence Institute
- Machine Learning Foundations: A Case Study Approach: University of Washington
- Reinforcement Learning: University of Alberta
- Introduction to Deep Learning: University of Colorado Boulder
- Machine Learning Foundations for Product Managers: Duke University