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Results for "fundamental concepts in machine learning"
Skills you'll gain: Cloud Computing Architecture, Cloud Services, Cloud Security, Cloud Infrastructure, Data Mining, Cloud Platforms, Cloud Computing, Artificial Intelligence, Generative AI, Data Ethics, OpenAI, Cloud Storage, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure As A Service (IaaS), Big Data, Emerging Technologies, Data Analysis, Data Science, Deep Learning, Digital Transformation
Johns Hopkins University
Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Visualization, Statistical Programming, Ggplot2, Dimensionality Reduction, Data Visualization Software, Data Integration, Knitr, Data Analysis, Data Import/Export, General Science and Research, Data Sharing, Statistical Reporting
Skills you'll gain: Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Supervised Learning, Computer Vision, Machine Learning, Natural Language Processing
- Status: Free
Peking University
Skills you'll gain: Language Learning, Vocabulary
University of Washington
Skills you'll gain: Regression Analysis, Predictive Modeling, Supervised Learning, Statistical Modeling, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Machine Learning, Statistical Methods, Dimensionality Reduction, Python Programming, Data Validation
University of Alberta
Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistical Methods, Probability Distribution
Skills you'll gain: Unsupervised Learning, Supervised Learning, Applied Machine Learning, Machine Learning Algorithms, Data-Driven Decision-Making, Regression Analysis, Machine Learning Methods, Machine Learning, Decision Tree Learning, Data Mining, Python Programming, Analytics, Statistical Modeling, Predictive Modeling, Statistical Methods, Classification And Regression Tree (CART), Statistical Analysis, Random Forest Algorithm, Feature Engineering
- Status: Free
Edge Impulse
Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, Embedded Systems, Embedded Software, Deep Learning, Data Ethics, Machine Learning, Artificial Intelligence, Python Programming
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Visualization, Plotly, Machine Learning Algorithms, Interactive Data Visualization, Probability & Statistics, Knitr
Skills you'll gain: Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Data Ethics, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Application Deployment, Data Pipelines
Skills you'll gain: Computer Vision, Image Analysis, Matlab, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Performance Tuning, Data Analysis
Skills you'll gain: Natural Language Processing, Supervised Learning, Dimensionality Reduction, Text Mining, Machine Learning, Feature Engineering, Artificial Intelligence, Unstructured Data, Regression Analysis, Bayesian Statistics
In summary, here are 10 of our most popular fundamental concepts in machine learning courses
- Key Technologies for Business: IBM
- Data Science: Foundations using R: Johns Hopkins University
- Build Decision Trees, SVMs, and Artificial Neural Networks: CertNexus
- Chinese for Beginners: Peking University
- Machine Learning: Regression: University of Washington
- Sample-based Learning Methods: University of Alberta
- Applied Machine Learning with Python: Edureka
- Computer Vision with Embedded Machine Learning: Edge Impulse
- Data Science: Johns Hopkins University
- Microsoft Azure Machine Learning for Data Scientists: Microsoft