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    Results for "machine learning"

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing with Probabilistic Models

      Skills you'll gain: Natural Language Processing, Markov Model, Text Mining, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Methods, Data Processing, Algorithms, Data Cleansing, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      R Ultimate 2023 - R for Data Science and Machine Learning

      Skills you'll gain: Rmarkdown, Deep Learning, Shiny (R Package), Data Import/Export, Regression Analysis, Dimensionality Reduction, R Programming, Data Manipulation, Data Visualization, Reinforcement Learning, Web Scraping, Ggplot2, Plotly, Applied Machine Learning, Image Analysis, Artificial Intelligence, Data Mining, Machine Learning, PyTorch (Machine Learning Library), Predictive Modeling

      Beginner · Specialization · 3 - 6 Months

    • U

      Universitat Autònoma de Barcelona

      English for Teaching Purposes

      Skills you'll gain: Lecturing, Language Competency, English Language, Verbal Communication Skills, Higher Education, Language Learning, Professional Development, Stress Management, Educational Materials, Train The Trainer, Grammar, Communication, Communication Strategies, Constructive Feedback, Motivational Skills

      4.7
      Rating, 4.7 out of 5 stars
      ·
      602 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Applied Data Science Capstone

      Skills you'll gain: Plotly, Exploratory Data Analysis, Predictive Modeling, Data Science, Data-Driven Decision-Making, Data Presentation, Data Analysis, Pandas (Python Package), Web Scraping, Statistical Modeling, Data Wrangling, Machine Learning Methods, Data Collection

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.3K reviews

      Intermediate · Course · 1 - 3 Months

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

      Google

      Start Writing Prompts like a Pro

      Skills you'll gain: Prompt Engineering, Data Ethics, Generative AI, Artificial Intelligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      288 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      T

      The Museum of Modern Art

      Teaching with Art: Using Inquiry, Activities, and Themes

      Skills you'll gain: Design Thinking, Art History, Liberal Arts, Lesson Planning, Literacy, Creative Thinking, Aesthetics, Learning Styles, Creativity, Teaching, Social Studies, Learning Strategies, Empathy, Critical Thinking, Emotional Intelligence, Instructional Strategies, Student Engagement, Self-Awareness, Curriculum Planning, Curriculum Development

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Michigan

      Finding Purpose and Meaning In Life: Living for What Matters Most

      Skills you'll gain: Goal Setting, Self-Awareness, Stress Management, Personal Development, Lifelong Learning, Resilience, Mindfulness, Positive Behavior Support, Liberal Arts, Decision Making

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      From Data to Insights with Google Cloud

      Skills you'll gain: Looker (Software), Dashboard, SQL, Data Transformation, Big Data, Google Cloud Platform, Applied Machine Learning, Data Cleansing, Machine Learning, Cloud Infrastructure, Data Import/Export, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Data Access, Data Warehousing, Supervised Learning, Database Architecture and Administration, Data Visualization Software, Predictive Modeling, Deep Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IESE Business School

      Accounting: Principles of Financial Accounting

      Skills you'll gain: Financial Statement Analysis, Financial Statements, Income Statement, Cash Flows, Balance Sheet, Financial Accounting, Accrual Accounting, Financial Analysis, Financial Reporting, Generally Accepted Accounting Principles (GAAP)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      AI For Everyone (すべての人のためのAIリテラシー講座)

      Skills you'll gain: Artificial Intelligence, Artificial Neural Networks, Digital Transformation, Deep Learning, Team Building, Technical Management, Applied Machine Learning, Machine Learning, Data Ethics, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      285 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Prediction and Control with Function Approximation

      Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      836 reviews

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      No-Code Machine Learning Using Amazon AWS SageMaker Canvas

      Skills you'll gain: AWS SageMaker, Applied Machine Learning, Machine Learning, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Data Processing, Version Control, Amazon S3, Data Validation, Cloud Services

      Beginner · Course · 1 - 3 Months

    Searches related to machine learning

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    1…424344…418

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

    • Natural Language Processing with Probabilistic Models: DeepLearning.AI
    • R Ultimate 2023 - R for Data Science and Machine Learning: Packt
    • English for Teaching Purposes: Universitat Autònoma de Barcelona
    • Applied Data Science Capstone: IBM
    • Start Writing Prompts like a Pro: Google
    • Teaching with Art: Using Inquiry, Activities, and Themes: The Museum of Modern Art
    • Finding Purpose and Meaning In Life: Living for What Matters Most: University of Michigan
    • From Data to Insights with Google Cloud: Google Cloud
    • Accounting: Principles of Financial Accounting: IESE Business School
    • AI For Everyone (すべての人のためのAIリテラシー講座): DeepLearning.AI

    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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