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    Results for "machine learning"

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Essential English for University Success

      Skills you'll gain: Learning Styles, Discussion Facilitation, Verbal Communication Skills, Public Speaking, Learning Strategies, Time Management, Communication, Writing, Organizational Skills, Active Listening, Literacy, Research, Social Skills, Interpersonal Communications, Student Engagement, Ethical Standards And Conduct, Cooperation, Grammar, Editing, Intellectual Property

      4.7
      Rating, 4.7 out of 5 stars
      ·
      252 reviews

      Beginner · Specialization · 1 - 3 Months

    • H

      H2O.ai

      Data Science and Machine Learning H2O.ai Platforms

      Skills you'll gain: Generative AI, Application Deployment, Data Wrangling, Project Planning, Data Governance, Governance, Exploratory Data Analysis, Applied Machine Learning, Large Language Modeling, Data Visualization, Data-Driven Decision-Making, MLOps (Machine Learning Operations), Data Science, Artificial Intelligence, Predictive Modeling

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      AI Strategy and Governance

      Skills you'll gain: Data Ethics, Data Governance, Personally Identifiable Information, Data Security, Governance, Business Strategy, Organizational Strategy, Business Transformation, Artificial Intelligence, Ethical Standards And Conduct, Machine Learning, Innovation, Algorithms, Decision Making

      4.7
      Rating, 4.7 out of 5 stars
      ·
      295 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Sports Performance Analytics

      Skills you'll gain: Forecasting, Statistical Methods, Regression Analysis, Data Cleansing, Scikit Learn (Machine Learning Library), Supervised Learning, Data Processing, Statistical Hypothesis Testing, Correlation Analysis, Predictive Analytics, Predictive Modeling, Matplotlib, Applied Machine Learning, Kinesiology, Injury Prevention, Statistical Machine Learning, Analytics, Data Analysis, Statistical Analysis, Probability & Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      257 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      Università di Napoli Federico II

      English Lower Intermediate B1.1

      Skills you'll gain: English Language, Language Competency, Vocabulary, Literacy, Oral Comprehension, Grammar

      4.5
      Rating, 4.5 out of 5 stars
      ·
      190 reviews

      Intermediate · Course · 1 - 3 Months

    • Y

      Yale University

      Health Behavior Change: From Evidence to Action

      Skills you'll gain: Public Health and Disease Prevention, Nutrition and Diet, Public Health, Behavioral Health, Mental Health, Mental and Behavioral Health, Behavioral Economics, Patient Education And Counseling, Program Evaluation, Preventative Care

      4.8
      Rating, 4.8 out of 5 stars
      ·
      451 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      AI Applications in People Management

      Skills you'll gain: HR Tech, Human Resources, Data Ethics, Data-Driven Decision-Making, People Management, Artificial Intelligence, Employee Engagement, Machine Learning, Employee Retention, Predictive Analytics, Blockchain

      4.8
      Rating, 4.8 out of 5 stars
      ·
      260 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Full-Stack Developer

      Skills you'll gain: CI/CD, GitHub, C# (Programming Language), HTML and CSS, Load Balancing, Continuous Integration, Git (Version Control System), Role-Based Access Control (RBAC), Scalability, Object Oriented Programming (OOP), Authentications, ASP.NET, Full-Stack Web Development, Web Development, Debugging, SQL, Application Deployment, Microsoft Azure, Microsoft Copilot, Graph Theory

      4.4
      Rating, 4.4 out of 5 stars
      ·
      144 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Business English: Marketing and Sales

      Skills you'll gain: Sales Presentations, Brainstorming, Selling Techniques, Marketing Communications, Business Correspondence, Advertising, Business Marketing, Business Communication, Promotional Strategies, Presentations, Consultative Selling, Persuasive Communication, Marketing, Employee Surveys, Public Speaking, Communication Strategies, Vocabulary

      4.7
      Rating, 4.7 out of 5 stars
      ·
      682 reviews

      Intermediate · Course · 1 - 3 Months

    • T

      Tel Aviv University

      The Holocaust - An Introduction (I): Nazi Germany: Ideology, The Jews and the World

      Skills you'll gain: Public History, World History, European History, Social Justice, Research, Political Sciences, Social Sciences, Cultural Diversity, Policy Analysis, Ethical Standards And Conduct

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Build Better Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Data Ethics, Deep Learning, Machine Learning, Image Analysis, Artificial Neural Networks, Performance Testing, Machine Learning Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      681 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Modernize Infrastructure and Applications with Google Cloud

      Skills you'll gain: Serverless Computing, Digital Transformation, Application Programming Interface (API), Hybrid Cloud Computing, Cloud Infrastructure, Google Cloud Platform, Containerization, Multi-Cloud, Cloud Computing, Cloud API, Kubernetes, Microservices, Application Development, Virtual Machines

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to machine learning

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    machine learning foundations: a case study approach
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    1…707172…416

    In summary, here are 10 of our most popular machine learning courses

    • Essential English for University Success: University of California, Irvine
    • Data Science and Machine Learning H2O.ai Platforms: H2O.ai
    • AI Strategy and Governance: University of Pennsylvania
    • Sports Performance Analytics: University of Michigan
    • English Lower Intermediate B1.1: Università di Napoli Federico II
    • Health Behavior Change: From Evidence to Action: Yale University
    • AI Applications in People Management : University of Pennsylvania
    • Microsoft Full-Stack Developer: Microsoft
    • Business English: Marketing and Sales: Arizona State University
    • The Holocaust - An Introduction (I): Nazi Germany: Ideology, The Jews and the World: Tel Aviv University

    Frequently Asked Questions about Machine Learning

    Machine learning courses on Coursera cover a range of essential skills including:

    • Supervised learning and unsupervised learning methodologies
    • Neural networks and deep learning architectures
    • Algorithmic foundations such as regression, classification, and clustering
    • Data preprocessing, feature engineering, and data augmentation techniques
    • Model evaluation and optimization methods
    • Practical applications of machine learning in various industries
    • Implementation of machine learning algorithms using Python and libraries like TensorFlow and PyTorch‎

    No prior programming experience is required to begin beginner machine learning courses, but having some foundational knowledge in programming (especially Python) can be very beneficial. The curriculum is structured to accommodate learners at all levels:

    • Beginners can start with introductory courses that cover basic programming and data handling.
    • Intermediate learners can advance to applying machine learning algorithms on real data.
    • Advanced professionals can explore specialized areas such as deep learning, reinforcement learning, or natural language processing.‎

    Machine learning courses on Coursera offer a variety of credentialing options:

    • Professional certificates that demonstrate a more comprehensive understanding of machine learning concepts and techniques.
    • Specialized course certificates in areas such as artificial intelligence, data science, or specific technologies like TensorFlow.
    • Certifications from leading tech companies and universities that can help enhance your professional credibility and career prospects.‎

    Skills in machine learning can open doors to numerous high-demand roles in technology and research, including:

    • Machine Learning Engineer
    • Data Scientist
    • AI Research Scientist
    • Robotics Engineer
    • Quantitative Analyst in finance
    • Software Developer specializing in AI
    • Professionals in these roles utilize machine learning techniques to create innovative solutions, improve data-driven decision-making, and push the boundaries of artificial intelligence.

    Discover which machine learning role suits you best by taking our career quiz!‎

    Yes, Coursera offers a variety of free courses across many topics, including machine learning. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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