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Results for "machine learning in distributed environments"
University of Washington
Skills you'll gain: Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Modeling, Deep Learning, Data Mining, Computer Vision, Statistical Machine Learning, Text Mining, Machine Learning Algorithms, Big Data, Statistical Inference, Dimensionality Reduction
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: Data Warehousing, Google Cloud Platform, Big Data, Apache Spark, Data Integration, SQL, Data Pipelines, Metadata Management, Data Management, Real Time Data, Tensorflow, Data Science, Command-Line Interface, Applied Machine Learning, Cloud-Based Integration, Apache Hadoop, Query Languages, Data Processing, Data Loss Prevention, Data Mining
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
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
- Status: Free
National Taiwan University
Skills you'll gain: Supervised Learning, Machine Learning, Machine Learning Algorithms, Data Validation, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Algorithms, Regression Analysis, Predictive Modeling, Verification And Validation, Feature Engineering, Statistical Methods, Data Transformation
Skills you'll gain: Generative AI, Data Wrangling, Unit Testing, Supervised Learning, Feature Engineering, ChatGPT, Keras (Neural Network Library), Unsupervised Learning, Natural Language Processing, Data Cleansing, Jupyter, Data Analysis, Deep Learning, Data Manipulation, PyTorch (Machine Learning Library), Data Transformation, Artificial Intelligence, Data Import/Export, Data Ethics, Exploratory Data Analysis
Multiple educators
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Portfolio Management, Securities Trading, Artificial Intelligence and Machine Learning (AI/ML), Market Data, Financial Market, Artificial Neural Networks
Johns Hopkins University
Skills you'll gain: Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Classification And Regression Tree (CART), Predictive Analytics, Applied Machine Learning, R Programming, Machine Learning, Random Forest Algorithm, Regression Analysis, Data Analysis
Skills you'll gain: PyTorch (Machine Learning Library), Supervised Learning, Feature Engineering, Generative AI, Keras (Neural Network Library), Jupyter, Unsupervised Learning, Natural Language Processing, Reinforcement Learning, Deep Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Manipulation, Tensorflow, Python Programming, Verification And Validation, Applied Machine Learning, ChatGPT, Artificial Neural Networks, Statistical Machine Learning
Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Real Time Data, Data Lakes, MLOps (Machine Learning Operations), Dashboard, Data Warehousing, Extract, Transform, Load, Data Infrastructure, Cloud Storage, Big Data, Tensorflow, Unstructured Data, Data Integration, Data Processing, Data Visualization Software, Apache Hadoop, Apache Spark, Cloud Computing
Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Scalability, Machine Learning, Technical Design, Amazon Elastic Compute Cloud, Cloud Computing, AWS Identity and Access Management (IAM), Cloud Security, Disaster Recovery, Data Security
In summary, here are 10 of our most popular machine learning in distributed environments courses
- Machine Learning: University of Washington
- Machine Learning Algorithms: Supervised Learning Tip to Tail: Alberta Machine Intelligence Institute
- Hands-on Foundations for Data Science and Machine Learning with Google Cloud Labs: Google Cloud
- Machine Learning for Data Analysis: Wesleyan University
- Reinforcement Learning: University of Alberta
- 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
- IBM Generative AI Engineering: IBM
- Machine Learning for Trading: Google Cloud
- Practical Machine Learning: Johns Hopkins University
- IBM AI Engineering: IBM