Results for "matrix+methods"
University of Minnesota
Skills you'll gain: Dimensionality Reduction, Linear Algebra, Unsupervised Learning, Machine Learning Methods, Numerical Analysis, Mathematical Modeling, Applied Mathematics, Applied Machine Learning, Data Manipulation, Algorithms, Python Programming
Skills you'll gain: Root Cause Analysis, Data Ethics, Responsible AI, Retrieval-Augmented Generation, LLM Application, Operations Research, General Data Protection Regulation (GDPR), Regulatory Compliance, Strategic Decision-Making, Apache Kafka, Pareto Chart, Operational Analysis, Decision Intelligence, Stakeholder Communications, Revenue Management, Large Language Modeling, Real Time Data, Information Privacy, Statistical Inference, Reinforcement Learning
Johns Hopkins University
Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, Advanced Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Engineering Analysis, Mathematical Theory & Analysis, Geometry, Applied Machine Learning, Markov Model
DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Linear Algebra, Statistical Inference, Model Optimization, Machine Learning Methods, Statistics, Applied Mathematics, Probability, Calculus, Dimensionality Reduction, Applied Machine Learning, Mathematical Software, Data Transformation, Machine Learning
Skills you'll gain: Marketing Analytics, Data-Driven Marketing, Marketing Effectiveness, A/B Testing, Target Audience, Marketing Strategies, Marketing, Marketing Planning, Marketing Strategy and Techniques, Online Advertising, Customer Analysis, Conversion Funnel Analysis, Marketing Channel, Advertising Campaigns, Persona Development, Customer Insights, Regression Analysis, Model Evaluation, Data Analysis, Descriptive Analytics
O.P. Jindal Global University
Skills you'll gain: Sampling (Statistics), Statistical Programming, Statistical Analysis, Probability Distribution, Data Visualization, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Correlation Analysis, Regression Analysis, R (Software), R Programming, Probability & Statistics, Statistics, Statistical Modeling, Statistical Visualization, Statistical Inference, Classification And Regression Tree (CART), Probability, Big Data
What brings you to Coursera today?
University of Toronto
Skills you'll gain: Bioinformatics, Network Analysis, Laboratory Reports, Molecular Biology, Research Reports, Molecular, Cellular, and Microbiology, Biology, R (Software), Correlation Analysis, Informatics, Data Visualization Software, Biotechnology, Scientific Visualization, Network Model, Data Analysis Software, Data Synthesis, Life Sciences, Data Analysis, Microbiology, Analysis
Skills you'll gain: Time Series Analysis and Forecasting, Financial Forecasting, Forecasting, Trend Analysis, Advanced Analytics, Predictive Modeling, Predictive Analytics, Data-Driven Decision-Making, Business Analytics, Supervised Learning, Business Metrics, Market Data, Generative AI, Financial Management, Strategic Decision-Making, Market Intelligence, Statistical Analysis, Model Evaluation, Data Storytelling, Applied Machine Learning
Coursera
Skills you'll gain: B2B Sales, Cost Benefit Analysis, Price Negotiation, Sales Strategy, Decision Making, Microsoft Excel, Sales, Strategic Decision-Making, Business Marketing, User Feedback, Data-Driven Decision-Making, Competitive Analysis, Customer Insights, Matrix Management, Gross Profit, Strategic Thinking, Business Strategies, Continuous Improvement Process
Coursera
Skills you'll gain: Decision Making, Strategic Decision-Making, Solution Selling, Decision Intelligence, Sales, Data-Driven Decision-Making, Decision Support Systems, Complex Problem Solving, Cost Benefit Analysis, Decision Tree Learning, Negotiation, Prioritization, Return On Investment
Johns Hopkins University
Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Geometry, Applied Machine Learning, Markov Model
Skills you'll gain: Model Evaluation, Classification Algorithms, R Programming, Apache Spark, Deep Learning, Applied Machine Learning, Data Wrangling, Keras (Neural Network Library), Unsupervised Learning, Model Training, Statistical Machine Learning, Data Manipulation, Machine Learning Methods, Machine Learning Algorithms, Data Science, Machine Learning, Tidyverse (R Package), Data Analysis, Bayesian Network, Logistic Regression
In summary, here are 10 of our most popular matrix+methods courses
- Matrix Methods:Â University of Minnesota
- AI Techniques, Causal Inference & Business Optimization:Â Coursera
- Linear Algebra from Elementary to Advanced:Â Johns Hopkins University
- Mathematics for Machine Learning and Data Science:Â DeepLearning.AI
- Data Analytics Methods for Marketing:Â Meta
- Statistical Methods and Data Analysis :Â O.P. Jindal Global University
- Plant Bioinformatic Methods:Â University of Toronto
- Forecasting and Predictive Analytics Methods Pack:Â Coursera
- Matrix Your Discounts:Â Coursera
- Smart Decision Matrix:Â Coursera
