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Explore the Applied Machine Learning Course Catalog
- Status: Free Trial
Johns Hopkins University
Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Wrangling, Plot (Graphics), Statistical Programming, Statistical Visualization, Ggplot2, R (Software), Dimensionality Reduction, Data Visualization Software, Knitr, Data Sharing, GitHub, Machine Learning
Coursera Project Network
Skills you'll gain: Regression Analysis, NumPy, Applied Machine Learning, Supervised Learning, Machine Learning, Predictive Modeling, Deep Learning, Data Science, Python Programming
- Status: Free Trial
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Unstructured Data, Natural Language Processing, Algorithms, Computational Thinking, Test Data
- Status: NewStatus: Free Trial
Skills you'll gain: PySpark, Apache Spark, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Statistical Machine Learning, Unsupervised Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Machine Learning Algorithms, Supervised Learning, Data Pipelines
- Status: NewStatus: Free Trial
Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Machine Learning, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation
- Status: Free Trial
DeepLearning.AI
Skills you'll gain: iOS Development, Android Development, Tensorflow, Swift Programming, Mobile Development, Applied Machine Learning, Embedded Systems, Machine Learning Methods, Computer Vision, Machine Learning
- Status: NewStatus: Preview
Simplilearn
Skills you'll gain: Mathematical Modeling, Linear Algebra, Dimensionality Reduction, Applied Mathematics, Data Analysis, Applied Machine Learning, Analytics, Data Science
- Status: NewStatus: Preview
Skills you'll gain: Data Ethics, No-Code Development, Data Cleansing, Artificial Intelligence, Data Processing, Business Solutions, Machine Learning, Business Metrics, Data Storytelling, Usability, User Experience Design, Application Design, Generative AI, Business Analytics, Application Deployment, Scalability, Data Validation, Dashboard, Compliance Management, Automation
Coursera Project Network
Skills you'll gain: Keras (Neural Network Library), Tensorflow, Applied Machine Learning, Deep Learning, Machine Learning, Computer Vision
- Status: Free Trial
University of Minnesota
Skills you'll gain: Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Algorithms, Advanced Mathematics, Linear Algebra
- Status: NewStatus: Free Trial
Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, AI Personalization, Responsible AI, Data Ethics, ChatGPT, Education Software and Technology, Anthropic Claude, Artificial Intelligence and Machine Learning (AI/ML), Learning Management Systems, Artificial Intelligence, Ethical Standards And Conduct, Image Quality, Machine Learning, Virtual Environment, Information Privacy, Emerging Technologies, Data Security, Mitigation
- Status: Free Trial
Johns Hopkins University
Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Graph Theory, Geometry, Applied Machine Learning, Markov Model, Probability
Applied Machine Learning learners also search
In summary, here are 10 of our most popular applied machine learning courses
- Data Science: Foundations using R:Â Johns Hopkins University
- Linear Regression with Python:Â Coursera Project Network
- Probabilistic Graphical Models:Â Stanford University
- PySpark: Apply & Evaluate Predictive ML Models:Â EDUCBA
- Data Science Fundamentals Part 1: Unit 1:Â Pearson
- Device-based Models with TensorFlow Lite:Â DeepLearning.AI
- Linear Algebra for ML and Analytics Training:Â Simplilearn
- Foundations of No-Code AI for Real-World Applications:Â LearnQuest
- Creating Multi Task Models With Keras:Â Coursera Project Network
- Matrix Factorization and Advanced Techniques:Â University of Minnesota