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Results for "introduction to machine learning"
- Status: Free Trial
Shanghai Jiao Tong University
Skills you'll gain: Oral Comprehension, Language Learning, Cultural Diversity, Culture, Vocabulary, Language Competency, Literacy, Cultural Sensitivity
Stanford University
Skills you'll gain: Physics, Timelines, Verification And Validation, Scientific Methods, Research, Mechanics, Mathematical Modeling, Systems Of Measurement
- Status: Free Trial
University of Colorado Boulder
Skills you'll gain: Power Electronics, Control Systems, Semiconductors, Electronic Systems, Electrical Engineering, Electronic Components, Basic Electrical Systems, Electric Power Systems, Electrical Power, Systems Analysis, Electronics, Simulations, Engineering Analysis, Mathematical Modeling, Systems Design, Plot (Graphics), Technical Design, Engineering Design Process, Engineering Calculations, Matlab
- Status: Free Trial
Skills you'll gain: Node.JS, Server Side, MongoDB, React Redux, NoSQL, Restful API, React.js, Back-End Web Development, Front-End Web Development, JavaScript Frameworks, Ajax, Javascript, UI Components, Application Deployment, Data Structures, Authentications, Debugging, Cloud Applications, Full-Stack Web Development, JSON
- Status: Free Trial
Berklee
Skills you'll gain: Music Theory, Music, Music Performance, Instrumental Music, Performing Arts, Musical Composition, Creativity
- Status: Free Trial
University of California, Irvine
Skills you'll gain: Writing, Grammar, Editing, Proofreading, Peer Review
- Status: Free Trial
Skills you'll gain: Anomaly Detection, Image Analysis, Text Mining, Unsupervised Learning, Computer Vision, Artificial Intelligence, Natural Language Processing, Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Large Language Modeling, Regression Analysis, Predictive Modeling, Machine Learning Methods, Statistical Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Automation
- Status: Free Trial
University of California, Irvine
Skills you'll gain: Oral Comprehension, Vocabulary, Literacy, English Language, Language Competency, Grammar, Language Learning
University of Pittsburgh
Skills you'll gain: Medical Terminology, Vital Signs, Laboratory Testing, General Medical Tests and Procedures, Patient Safety, Medication Administration, Emergency and Intensive Care, Medical Prescription, Chronic Diseases, Anatomy
- Status: Free Trial
Duke University
Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Software, Descriptive Statistics
- Status: Free Trial
University of Pennsylvania
Skills you'll gain: Entrepreneurship, Market Opportunities, Product Development, Ideation, Target Market, New Product Development, Competitive Analysis, Innovation, Business Planning, Strategic Thinking, Business Analysis, Analysis, Business Development, Needs Assessment, Customer Insights, Technology Strategies
- Status: Free Trial
University of California, Santa Cruz
Skills you'll gain: Debugging, C (Programming Language), Code Review, Data Structures, Computer Programming, Program Development, Computer Science, Computational Thinking, Integrated Development Environments, Software Technical Review, Algorithms
Searches related to introduction to machine learning
In summary, here are 10 of our most popular introduction to machine learning courses
- Learn Mandarin Chinese:Â Shanghai Jiao Tong University
- Understanding Einstein: The Special Theory of Relativity:Â Stanford University
- Power Electronics:Â University of Colorado Boulder
- JavaScript Programming with React, Node & MongoDB:Â IBM
- How to Play Guitar:Â Berklee
- Advanced Writing:Â University of California, Irvine
- Microsoft Azure AI Fundamentals AI-900 Exam Prep:Â Microsoft
- TOEFL Preparation:Â University of California, Irvine
- Clinical Terminology for International and U.S. Students:Â University of Pittsburgh
- Introduction to Probability and Data with R:Â Duke University