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    Results for "machine learning"

    • W

      Whizlabs

      Infrastructure Automation with Terraform

      Skills you'll gain: Terraform, Infrastructure as Code (IaC), Cloud Infrastructure, Google Cloud Platform, Cloud Computing, Amazon Web Services, Microsoft Azure, Infrastructure Architecture, Virtual Machines, Data Store

      4.1
      Rating, 4.1 out of 5 stars
      ·
      10 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      D

      DeepLearning.AI

      Understanding and Applying Text Embeddings

      Skills you'll gain: Large Language Modeling, Anomaly Detection, Google Cloud Platform, Text Mining, Applied Machine Learning, Natural Language Processing, Semantic Web, Unsupervised Learning, Unstructured Data

      4.8
      Rating, 4.8 out of 5 stars
      ·
      63 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      M2M & IoT Interface Design & Protocols for Embedded Systems

      Skills you'll gain: Internet Of Things, Cloud Computing Architecture, Amazon Web Services, Application Security, Application Programming Interface (API), Microservices, Embedded Systems, Cloud Services, Network Protocols, Cloud Technologies, Cybersecurity, Serial Peripheral Interface, Wireless Networks, Wide Area Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      122 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of California, Irvine

      Skepticism

      Skills you'll gain: Liberal Arts, Social Justice, Research, Policy Analysis, Scientific Methods, Ethical Standards And Conduct

      4.7
      Rating, 4.7 out of 5 stars
      ·
      83 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Python Basics: Create a Guessing Number Game from Scratch

      Skills you'll gain: Game Design, Programming Principles, Python Programming, Scripting, Computer Programming, Scripting Languages

      4.6
      Rating, 4.6 out of 5 stars
      ·
      122 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      C

      CertNexus

      CertNexus Certified Data Science Practitioner

      Skills you'll gain: Extract, Transform, Load, Data Analysis, Jupyter, Data Visualization, Unsupervised Learning, Applied Machine Learning, Statistical Analysis, Exploratory Data Analysis, Machine Learning, Analytical Skills, Data Manipulation, Data Cleansing, Data Processing, Stakeholder Engagement, Project Scoping, Data Presentation, Business Priorities, Classification And Regression Tree (CART), Stakeholder Management, Business Analytics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      70 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • F

      Fred Hutchinson Cancer Center

      AI for Decision Makers

      Skills you'll gain: Data Ethics, Technology Strategies, Artificial Intelligence, Business Ethics, Business Leadership, Strategic Leadership, Artificial Intelligence and Machine Learning (AI/ML), Project Management, Organizational Leadership, Law, Regulation, and Compliance, Resource Allocation, Ethical Standards And Conduct, Regulation and Legal Compliance, Decision Making, Generative AI, Applied Machine Learning, Information Privacy

      4.6
      Rating, 4.6 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      J

      Johns Hopkins University

      Foundational Mathematics for AI

      Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Bayesian Statistics, Statistics, Artificial Intelligence and Machine Learning (AI/ML), Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Integral Calculus, Algebra, Machine Learning Algorithms, Dimensionality Reduction, Correlation Analysis

      Beginner · Course · 1 - 3 Months

    • E

      EDUCBA

      Data Center Security Management with Microsoft System Center

      Skills you'll gain: Incident Response, Incident Management, Data Centers, DevSecOps, System Monitoring, Threat Detection, Infrastructure Security, Microsoft Servers, Security Management, Payment Card Industry (PCI) Data Security Standards, Information Systems Security, Windows Servers, IT Infrastructure, Security Information and Event Management (SIEM), Disaster Recovery, IT Automation, Virtual Machines, Configuration Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      37 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      B

      Board Infinity

      Advanced SHRM Competencies and Knowledge

      Skills you'll gain: Talent Acquisition, Human Resources, Diversity Equity and Inclusion Initiatives, Recruitment Strategies, Human Resource Strategy, Leadership Development, HR Tech, Organizational Change, Communication, Strategic Leadership, Human Resources Information System (HRIS), Organizational Effectiveness, Innovation, Team Building, Change Management, Employee Onboarding, Decision Making, Ethical Standards And Conduct

      3.9
      Rating, 3.9 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      F

      Fundação Instituto de Administração

      Ciência de Dados para Finanças

      Skills you'll gain: Data Mining, Big Data, Data-Driven Decision-Making, Data Visualization, FinTech, Data Processing, Data Science, Data Visualization Software, Deep Learning, R Programming, Predictive Analytics, Data Capture, Analytics, Data Manipulation, Data Analysis, Business Analytics, Machine Learning, Financial Market, Business Intelligence, Data Structures

      4.3
      Rating, 4.3 out of 5 stars
      ·
      78 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Interactive eLearning and Assessment with Edulastic

      Skills you'll gain: Differentiated Instruction, Teaching, Education Software and Technology, Student Engagement, Blended Learning, Instructional Strategies, Interactive Learning, Instructional and Curriculum Design, Needs Assessment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      41 reviews

      Beginner · Guided Project · Less Than 2 Hours

    Searches related to machine learning

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    machine learning foundations: a case study approach
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    1…201202203…418

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

    • Infrastructure Automation with Terraform: Whizlabs
    • Understanding and Applying Text Embeddings: DeepLearning.AI
    • M2M & IoT Interface Design & Protocols for Embedded Systems: University of Colorado Boulder
    • Skepticism: University of California, Irvine
    • Python Basics: Create a Guessing Number Game from Scratch: Coursera Project Network
    • CertNexus Certified Data Science Practitioner: CertNexus
    • AI for Decision Makers: Fred Hutchinson Cancer Center
    • Foundational Mathematics for AI: Johns Hopkins University
    • Data Center Security Management with Microsoft System Center: EDUCBA
    • Advanced SHRM Competencies and Knowledge: Board Infinity

    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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