Filter by
The language used throughout the course, in both instruction and assessments.
Results for "machine+learning+concepts"
Stanford University
Skills you'll gain: Data Ethics, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Artificial Neural Networks, Medical Science and Research, Health Care, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Supervised Learning, Deep Learning, Predictive Modeling, Health Care Procedure and Regulation, Data Processing, Image Analysis, Natural Language Processing
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Deep Learning, Supervised Learning, IBM Cloud, Classification And Regression Tree (CART), Predictive Modeling, Unsupervised Learning, Program Evaluation, Reinforcement Learning
Google Cloud
Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Tensorflow, Reinforcement Learning, Computer Vision, Google Cloud Platform, Keras (Neural Network Library), Systems Design, Image Analysis, Hybrid Cloud Computing, Applied Machine Learning, Systems Architecture, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Distributed Computing, Unsupervised Learning
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
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
DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Data Science, Exploratory Data Analysis, Data Analysis, Statistical Visualization
Skills you'll gain: Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Data Infrastructure, MLOps (Machine Learning Operations), Application Deployment, Data Cleansing, Artificial Intelligence, Continuous Deployment, Data Security, Application Frameworks, PyTorch (Machine Learning Library), Machine Learning, Tensorflow, Applied Machine Learning, Data Pipelines, Scikit Learn (Machine Learning Library), Scalability, Feature Engineering, Version Control
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
Duke University
Skills you'll gain: Data Ethics, Decision Tree Learning, Regression Analysis, Generative AI, Artificial Intelligence, Predictive Modeling, Machine Learning, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Ethical Standards And Conduct, Python Programming, Applied Machine Learning, Natural Language Processing, Deep Learning, Business Ethics, Visualization (Computer Graphics), Artificial Neural Networks, Computer Vision, Data-Driven Decision-Making, Decision Making
Skills you'll gain: Predictive Modeling, Data Ethics, Predictive Analytics, Machine Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Data-Driven Decision-Making, Statistical Modeling, Performance Measurement, Supervised Learning, Machine Learning Software, Business Ethics, Decision Tree Learning, Leadership and Management, Artificial Intelligence, Business Analytics, Machine Learning Algorithms, Data Processing, Business Leadership, Feature Engineering
DeepLearning.AI
Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Data Transformation, Data Manipulation, Data Science, Machine Learning Algorithms, Applied Mathematics, Python Programming
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
Searches related to machine+learning+concepts
In summary, here are 10 of our most popular machine+learning+concepts courses
- Fundamentals of Machine Learning for Healthcare: Stanford University
- Machine Learning Introduction for Everyone: IBM
- Advanced Machine Learning on Google Cloud: Google Cloud
- Machine Learning With Big Data: University of California San Diego
- Microsoft Azure Machine Learning for Data Scientists: Microsoft
- Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI
- Foundations of AI and Machine Learning: Microsoft
- Machine Learning Foundations for Product Managers: Duke University
- Explainable AI (XAI): Duke University
- Machine Learning Rock Star – the End-to-End Practice: SAS