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    Results for "machine learning"

    • Status: New
      New
      Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Visualization

      Skills you'll gain: Data Visualization Software, Scientific Visualization, Interactive Data Visualization, Geospatial Information and Technology, Data Presentation, Color Theory, Graphic and Visual Design, Tree Maps, Visualization (Computer Graphics), Statistical Visualization, Data Storytelling, Design Elements And Principles, Plot (Graphics), Data Literacy, Heat Maps, Computer Displays, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Mapping, Scatter Plots

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      F

      Fundação Instituto de Administração

      Innovation & Entrepreneurship Mindset

      Skills you'll gain: Innovation, Strategic Decision-Making, Competitive Analysis, Ideation, Entrepreneurship, Organizational Strategy, Business Strategy, Strategic Thinking, Corporate Strategy, Project Risk Management, Risk Management, Value Propositions, New Product Development, Presentations, Business Strategies, Entrepreneurial Finance, Business Modeling, Corporate Sustainability, Market Analysis, Product Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      52 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      K

      KodeKloud

      Ansible for the Absolute Beginners

      Skills you'll gain: Ansible, IT Automation, YAML, Devops Tools, Infrastructure as Code (IaC), Automation, Scripting, Configuration Management, System Configuration

      4.1
      Rating, 4.1 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Università di Napoli Federico II

      Data Science con Python e R

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Object Oriented Programming (OOP), PyTorch (Machine Learning Library), R Programming, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Python Programming, Deep Learning, Computer Programming, Scripting Languages, Computer Vision, Keras (Neural Network Library), Scripting, Machine Learning, Exploratory Data Analysis, Programming Principles

      4.3
      Rating, 4.3 out of 5 stars
      ·
      51 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Statistics for Data Science Essentials

      Skills you'll gain: Probability, Probability & Statistics, Sampling (Statistics), Probability Distribution, Statistics, Data Science, Statistical Inference, Descriptive Statistics, Statistical Analysis, General Mathematics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • P

      Peking University

      Nursing Research: Principles and Methods(护理研究:基本原理与方法)

      Skills you'll gain: Nursing, Science and Research, Clinical Research, Nursing Practices, Scientific Methods, Healthcare Ethics, Biostatistics, Data Analysis Software

      Intermediate · Course · 1 - 3 Months

    • E

      EDUCBA

      Regression & Forecasting for Data Scientists using Python

      Skills you'll gain: Time Series Analysis and Forecasting, Exploratory Data Analysis, Feature Engineering, Statistical Analysis, Forecasting, Regression Analysis, Python Programming, Data Analysis, Predictive Modeling, Pandas (Python Package), Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Supervised Learning, Data Cleansing, Data Transformation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      39 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      CCNA Expert – Network Automation, Cloud, and Emerging Technologies

      Skills you'll gain: Wireless Networks, Cloud Computing, Network Monitoring, Network Security, Event Monitoring, Network Performance Management, Software-Defined Networking, Ansible, IT Automation, Authentications, Virtualization, Network Protocols, Encryption, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Restful API

      4.7
      Rating, 4.7 out of 5 stars
      ·
      15 reviews

      Advanced · Course · 1 - 3 Months

    • P

      Packt

      The STATA OMNIBUS: Regression and Modelling with STATA

      Skills you'll gain: Stata, Regression Analysis, Statistical Modeling, Statistical Analysis, Advanced Analytics, Correlation Analysis, Statistical Visualization, Data Manipulation, Sampling (Statistics), Statistical Hypothesis Testing, Descriptive Statistics

      Beginner · Course · 3 - 6 Months

    • U

      Universiteit Leiden

      Population Health: Predictive Analytics

      Skills you'll gain: Predictive Analytics, Predictive Modeling, Risk Modeling, R Programming, Statistical Modeling, Sample Size Determination, Statistical Inference, Regression Analysis, Statistical Machine Learning, Feature Engineering, Sampling (Statistics), Data Manipulation, Data Validation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Dell

      Dell Technologies Technical Support Career Introduction

      Skills you'll gain: Professional Development, Technical Support, Lifelong Learning, Desktop Support, Willingness To Learn, Product Support, End User Training and Support, System Support, Help Desk Support, Active Listening, Time Management, Interpersonal Communications, Teamwork, Relationship Building, Problem Solving, Communication

      4.9
      Rating, 4.9 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      Well Being & Self Care: for Physical and Mental Health

      Skills you'll gain: Stress Management, Positivity, Personal Care, Mindfulness, Behavioral Health, Personal Development, Productivity, Self-Motivation, Self-Awareness, Mental Health, Resilience, Goal Setting, Activities of Daily Living (ADLs)

      4.9
      Rating, 4.9 out of 5 stars
      ·
      48 reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to machine learning

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    1…238239240…419

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

    • Data Visualization: Johns Hopkins University
    • Innovation & Entrepreneurship Mindset: Fundação Instituto de Administração
    • Ansible for the Absolute Beginners: KodeKloud
    • Data Science con Python e R: Università di Napoli Federico II
    • Statistics for Data Science Essentials: University of Pennsylvania
    • Nursing Research: Principles and Methods(护理研究:基本原理与方法): Peking University
    • Regression & Forecasting for Data Scientists using Python: EDUCBA
    • CCNA Expert – Network Automation, Cloud, and Emerging Technologies: Packt
    • The STATA OMNIBUS: Regression and Modelling with STATA: Packt
    • Population Health: Predictive Analytics: Universiteit Leiden

    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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