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Results for "using machine learning in science and engineering"
- Status: Free
Stanford University
Skills you'll gain: Grant Writing, Peer Review, Technical Writing, Technical Communication, Writing, Journals, Editing, Science and Research, Grammar, Proofreading, Storytelling, Data Ethics
University of Michigan
Skills you'll gain: Pandas (Python Package), Jupyter, NumPy, Data Manipulation, Data Science, Data Analysis, Statistical Analysis, Pivot Tables And Charts, Data Cleansing, Data Import/Export, Probability & Statistics, Python Programming, Programming Principles
- Status: Free
Amazon Web Services
Skills you'll gain: Feasibility Studies, Business Analysis, Business Analytics, Decision Making, Strategic Decision-Making, Applied Machine Learning, Data-Driven Decision-Making, Machine Learning, Strategic Thinking, Program Evaluation, Business Leadership, Strategic Leadership, Project Planning
Skills you'll gain: SQL, Jupyter, Data Mining, Peer Review, Data Modeling, Databases, Stored Procedure, Relational Databases, Database Design, Query Languages, Data Science, Database Management, Big Data, Data Cleansing, Data Visualization Software, GitHub, Business Analysis, Cloud Computing, Data Analysis, Data Processing
EDHEC Business School
Skills you'll gain: Investment Management, Portfolio Management, Text Mining, Asset Management, Network Analysis, Data Visualization Software, Investments, Machine Learning Methods, Unstructured Data, Predictive Modeling, Web Scraping, Financial Management, Machine Learning, Financial Statements, Applied Machine Learning, Financial Market, Financial Modeling, Risk Analysis, Python Programming, Financial Analysis
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
- Status: AI skills
University of Pennsylvania
Skills you'll gain: Statistical Machine Learning, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Statistical Modeling, Supervised Learning, Statistics, Machine Learning, Data Processing, Artificial Intelligence, Artificial Neural Networks, Algorithms, Theoretical Computer Science, Machine Learning Algorithms, Computational Thinking
Imperial College London
Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Applied Mathematics, Linear Algebra, Artificial Neural Networks, Mathematical Modeling, Deep Learning, Mathematical Theory & Analysis, Python Programming, Derivatives
- Status: Free
Coursera Project Network
Skills you'll gain: Applied Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Microsoft Azure, Machine Learning, Predictive Analytics, Feature Engineering, Data Processing, Data Cleansing, Application Deployment, Exploratory Data Analysis
Johns Hopkins University
Skills you'll gain: Data Science, Data Analysis, Business Analytics, Data-Driven Decision-Making, Project Design, Performance Metric, Software Engineering, Project Performance, Machine Learning, Statistical Inference
- Status: New
Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Data Manipulation, Tensorflow, Verification And Validation, Generative AI, Artificial Neural Networks, Data Processing, Predictive Modeling, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Statistical Methods, Data Import/Export, Artificial Intelligence, Scientific Visualization, Computer Vision, Time Series Analysis and Forecasting
Johns Hopkins University
Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Computer Vision, Machine Learning Algorithms, Applied Machine Learning, Image Analysis, Dimensionality Reduction, Supervised Learning, Reinforcement Learning, Feature Engineering, Regression Analysis, Data Cleansing, Machine Learning, Data Mining, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Statistical Machine Learning, Deep Learning, Artificial Neural Networks, Decision Tree Learning
In summary, here are 10 of our most popular using machine learning in science and engineering courses
- Writing in the Sciences: Stanford University
- Introduction to Data Science in Python: University of Michigan
- Planning a Machine Learning Project: Amazon Web Services
- Introduction to Data Science: IBM
- Investment Management with Python and Machine Learning: EDHEC Business School
- Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
- AI and Machine Learning Essentials with Python: University of Pennsylvania
- Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
- Machine Learning Pipelines with Azure ML Studio: Coursera Project Network
- A Crash Course in Data Science: Johns Hopkins University