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Results for "fundamental concepts in machine learning"
The University of Chicago
Skills you'll gain: Keras (Neural Network Library), Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Statistical Methods, Tensorflow, Feature Engineering, Artificial Neural Networks, Pandas (Python Package)
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Deep Learning, Supervised Learning, IBM Cloud, Predictive Modeling, Classification And Regression Tree (CART), Unsupervised Learning, Program Evaluation, Reinforcement Learning
Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Cleansing, Data Access, Data Analysis, Statistical Inference, Statistical Hypothesis Testing, Data Quality, Probability & Statistics, Jupyter, Big Data, Machine Learning, Data Manipulation, Pandas (Python Package), Statistical Analysis, Data Transformation, Data Presentation, Artificial Intelligence
DeepLearning.AI
Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Supervised Learning, Keras (Neural Network Library), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Machine Learning Methods, Python Programming, Data-Driven Decision-Making, Text Mining, Network Architecture
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: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Jupyter, Statistical Machine Learning, Decision Tree Learning, Machine Learning, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Feature Engineering, Performance Measurement, Data Processing, Process Optimization, Data Transformation
Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Applied Machine Learning, Regression Analysis, Predictive Modeling, Image Analysis, Pandas (Python Package), Artificial Intelligence and Machine Learning (AI/ML), Data Science, MLOps (Machine Learning Operations), Machine Learning, Supervised Learning, Tensorflow, Artificial Neural Networks
DeepLearning.AI
Skills you'll gain: Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms, Regression Analysis
DeepLearning.AI
Skills you'll gain: Data Ethics, Market Opportunities, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Team Building, Machine Learning, Strategic Thinking, Generative AI, Data Science, Deep Learning, Business Ethics, Artificial Neural Networks, Business Transformation
Alberta Machine Intelligence Institute
Skills you'll gain: Feature Engineering, Data Quality, Data Processing, Supervised Learning, Data Validation, Data Cleansing, Data Transformation, Verification And Validation, Applied Machine Learning, Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Predictive Modeling, Exploratory Data Analysis, Algorithms
Wesleyan University
Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Statistical Machine Learning, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Unsupervised Learning, Machine Learning Algorithms, Machine Learning, Supervised Learning, Data Analysis, Data Science, Feature Engineering, Exploratory Data Analysis, Regression Analysis, Statistical Analysis
New York University
Skills you'll gain: Supervised Learning, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Statistical Methods, Artificial Neural Networks, Statistical Modeling, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Financial Services, Finance, Financial Market, Unsupervised Learning, Tensorflow, Reinforcement Learning
In summary, here are 10 of our most popular fundamental concepts in machine learning courses
- Machine Learning: Concepts and Applications: The University of Chicago
- Machine Learning Introduction for Everyone: IBM
- Exploratory Data Analysis for Machine Learning: IBM
- Deep Learning: DeepLearning.AI
- Machine Learning With Big Data: University of California San Diego
- Machine Learning Algorithms: Supervised Learning Tip to Tail: Alberta Machine Intelligence Institute
- Create Machine Learning Models in Microsoft Azure: Microsoft
- Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
- AI For Everyone: DeepLearning.AI
- Data for Machine Learning: Alberta Machine Intelligence Institute