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    Results for "machine learning"

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Legal Risk Mitigation: Proactive Case Analysis

      Skills you'll gain: Prompt Engineering, Risk Management Framework, Legal Risk, Risk Control, Risk Mitigation, Generative AI, Compliance Management, Governance Risk Management and Compliance, Regulatory Compliance, Legal Strategy, Data Ethics, Law, Regulation, and Compliance, Artificial Intelligence, Ethical Standards And Conduct, Data Analysis

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Gen AI - RAG Application Development using LlamaIndex

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI Agents, Generative AI, Application Development, Data Storage Technologies, Query Languages, Natural Language Processing, Data Integration, Development Environment

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Use AI Responsibly

      Skills you'll gain: Data Ethics, Security Awareness, Artificial Intelligence, Diversity Awareness, Risk Management Framework, Ethical Standards And Conduct, Information Privacy, Data Security, Social Sciences

      4.9
      Rating, 4.9 out of 5 stars
      ·
      74 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Inside Sales: Crafting Effective Outreach

      Skills you'll gain: Inside Sales, Generative AI Agents, AI Personalization, Sales Development, Sales Process, Sales Enablement, Sales Strategy, Prompt Engineering, ChatGPT, Marketing Automation, HubSpot CRM, Personalized Service, Content Performance Analysis, Workflow Management, Customer Engagement, Customer Relationship Management (CRM) Software, Business Process Automation, Campaign Management

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Loan Officers: Revolutionizing Credit Scoring

      Skills you'll gain: Loan Origination, Lending and Underwriting, Consumer Lending, Commercial Lending, Workflow Management, Generative AI, Regulatory Compliance, Customer Communications Management, Compliance Management, Customer experience improvement, Loans, Credit Risk, Document Management, Financial Services, Business Process Automation, Artificial Intelligence, Ethical Standards And Conduct, Automation, Risk Management

      Intermediate · Course · 1 - 4 Weeks

    • U

      Università Bocconi

      Food & Beverage Management

      Skills you'll gain: Food and Beverage, Hospitality Management, Restaurant Management, Product Quality (QA/QC), Global Marketing, Market Dynamics, Business Strategy, Consumer Behaviour, Value Propositions, Competitive Analysis, Innovation, Brand Management, Growth Strategies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.9K reviews

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      AI in Supply Chain Forecasting and Risk Management

      Skills you'll gain: Supply Chain Management, Supply Chain Planning, Supply Chain, Inventory Management System, Demand Planning, Materials Management, Forecasting, Customer Demand Planning, Supplier Management, Risk Mitigation, Transportation, Supply Chain, and Logistics, Risk Analysis, Business Risk Management, Automation, Risk Management, Warehouse Management

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Bayesian Statistics

      Skills you'll gain: Time Series Analysis and Forecasting, Bayesian Statistics, R Programming, Forecasting, Statistical Inference, Statistical Modeling, Technical Communication, Data Analysis, Probability, Statistical Machine Learning, Statistical Methods, Statistical Analysis, Advanced Analytics, Mathematical Modeling, Microsoft Excel, Markov Model, Probability Distribution, Probability & Statistics, Unsupervised Learning, Regression Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Statistical Modeling, Bayesian Statistics, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Natural Language Processing, Algorithms, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free
      Free
      A

      Amazon Web Services

      Building a Machine Learning Ready Organization

      Skills you'll gain: Resource Allocation, Business Leadership, Business Transformation, Organizational Strategy, Organizational Leadership, Data Strategy, Business Priorities, Digital Transformation, Change Management, MLOps (Machine Learning Operations), Performance Measurement, Return On Investment

      Mixed · Course · 1 - 4 Weeks

    • R

      Rice University

      English and Academic Preparation - Pre-Collegiate

      Skills you'll gain: Oral Comprehension, Critical Thinking, Writing, Learning Strategies, Active Listening, Literacy, English Language, Vocabulary, Verbal Communication Skills, Grammar, Language Learning, Research, Communication, Analytical Skills

      4.7
      Rating, 4.7 out of 5 stars
      ·
      541 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Georgia Institute of Technology

      Build Your Professional ePortfolio in English

      Skills you'll gain: Professional Networking, LinkedIn, Instagram, Writing, Concision, Social Media, Grammar, Business Writing, English Language, Branding, Vocabulary

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.7K reviews

      Mixed · 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…424344…418

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

    • GenAI for Legal Risk Mitigation: Proactive Case Analysis: Coursera Instructor Network
    • Gen AI - RAG Application Development using LlamaIndex: Packt
    • Use AI Responsibly: Google
    • GenAI for Inside Sales: Crafting Effective Outreach: Coursera Instructor Network
    • GenAI for Loan Officers: Revolutionizing Credit Scoring: Coursera Instructor Network
    • Food & Beverage Management: Università Bocconi
    • AI in Supply Chain Forecasting and Risk Management: Coursera Instructor Network
    • Bayesian Statistics: University of California, Santa Cruz
    • Probabilistic Graphical Models: Stanford University
    • Building a Machine Learning Ready Organization: Amazon Web Services

    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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