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    Results for "machine learning"

    • Status: Free Trial
      Free Trial
      P

      Packt

      Quantum Computing with Qiskit and Advanced Algorithms

      Skills you'll gain: Algorithms, IBM Cloud, Python Programming, Theoretical Computer Science, Artificial Intelligence and Machine Learning (AI/ML), Computer Programming, Computational Thinking, Jupyter, Emerging Technologies, Linear Algebra, Simulations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      EDUCBA

      Modern Web Development Specialization

      Skills you'll gain: Restful API, CI/CD, Model View Controller, ASP.NET, Cloud Infrastructure, Continuous Deployment, Load Balancing, OAuth, Continuous Integration, Continuous Delivery, Cloud Computing, Application Deployment, Cloud-Native Computing, Web Applications, Web Development, Application Programming Interface (API), Scalability, Microservices, Microsoft Azure, Secure Coding

      4.9
      Rating, 4.9 out of 5 stars
      ·
      160 reviews

      Intermediate · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Encoder-Decoder Architecture

      Skills you'll gain: Keras (Neural Network Library), Tensorflow, Generative AI, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Natural Language Processing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      44 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Data Science for Marketing

      Skills you'll gain: Marketing Analytics, Classification And Regression Tree (CART), Probability & Statistics, AI Personalization, Statistical Software, Statistical Methods, Regression Analysis, Data-Driven Decision-Making, Data Ethics, Unsupervised Learning, Statistical Modeling, Data Visualization, Customer Analysis, Statistical Analysis, Predictive Analytics, Marketing Effectiveness, Anomaly Detection, Statistical Hypothesis Testing, Advanced Analytics, Bayesian Network

      4.8
      Rating, 4.8 out of 5 stars
      ·
      11 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Azure Backup, Security, and Compliance Administration

      Skills you'll gain: Disaster Recovery, Microsoft Azure, Microsoft Copilot, Cloud Security, Continuous Monitoring, Systems Administration, Cloud Storage, Patch Management, Virtual Machines, Identity and Access Management, Data Security

      4.4
      Rating, 4.4 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      Vector Search with NoSQL Databases using MongoDB & Cassandra

      Skills you'll gain: MongoDB, NoSQL, Applied Machine Learning, Databases, Apache Cassandra, Text Mining, Image Analysis, Generative AI, AI Personalization

      4.7
      Rating, 4.7 out of 5 stars
      ·
      29 reviews

      Intermediate · Course · 1 - 4 Weeks

    • A

      Amazon Web Services

      Python for Serverless Applications and Automation on AWS

      Skills you'll gain: Software Architecture, Amazon Web Services, API Gateway, Amazon DynamoDB, Python Programming, Service Oriented Architecture, Cloud Computing Architecture, Microservices, Serverless Computing, Cloud Applications, Databases, Scripting, Programming Principles, Automation, Relational Databases, Application Development, Development Environment

      4.5
      Rating, 4.5 out of 5 stars
      ·
      13 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      B

      Board Infinity

      Essential Testing Techniques in Software Development

      Skills you'll gain: Test Case, Software Testing, Integration Testing, Software Development Life Cycle, System Testing, Acceptance Testing, Maintainability, Regression Testing, Test Planning, Software Quality Assurance, Unit Testing, Functional Testing, User Acceptance Testing (UAT)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Industrial Applications of AI

      Skills you'll gain: Machine Learning Algorithms, Computer Vision, Image Analysis, Applied Machine Learning, Machine Learning, Artificial Intelligence, Civil Engineering, Tensorflow, Automation, Computer Engineering, Engineering Software, Deep Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Electrical Engineering, Mechanical Engineering, Predictive Modeling, Data Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 3 Months

    • T

      The Hong Kong University of Science and Technology

      Understanding China, 1700-2000: A Data Analytic Approach, Part 2

      Skills you'll gain: Social Sciences, Big Data, Sociology, Demography, Anthropology, Economics, Data Analysis, Analytics, Cultural Diversity, World History, Statistical Analysis, Quantitative Research

      4.5
      Rating, 4.5 out of 5 stars
      ·
      60 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Cluster Analysis, Association Mining, and Model Evaluation

      Skills you'll gain: Unsupervised Learning, Data Analysis, Regression Analysis, Statistical Analysis, Data Mining, Predictive Modeling, Predictive Analytics, Anomaly Detection, Statistical Modeling, Classification And Regression Tree (CART), Machine Learning, Correlation Analysis, Probability & Statistics, Scatter Plots, Market Analysis, Supervised Learning, AI Personalization, Cross Selling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      44 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Teaching Impacts of Technology: Fundamentals

      Skills you'll gain: Computer Science, Information Technology, Computational Thinking, Technology Solutions, Geospatial Information and Technology, Computer Networking, Technical Communication, Media and Communications, Digital Communications, Mobile Development, Culture, Data Centers, Algorithms, Global Positioning Systems, Data Analysis Software, Graph Theory

      4.9
      Rating, 4.9 out of 5 stars
      ·
      36 reviews

      Beginner · Course · 1 - 3 Months

    Searches related to machine learning

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    1…226227228…417

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

    • Quantum Computing with Qiskit and Advanced Algorithms: Packt
    • Modern Web Development Specialization: EDUCBA
    • Encoder-Decoder Architecture: Google Cloud
    • Data Science for Marketing: University of Colorado System
    • Azure Backup, Security, and Compliance Administration: Microsoft
    • Vector Search with NoSQL Databases using MongoDB & Cassandra: SkillUp EdTech
    • Python for Serverless Applications and Automation on AWS: Amazon Web Services
    • Essential Testing Techniques in Software Development: Board Infinity
    • Industrial Applications of AI: L&T EduTech
    • Understanding China, 1700-2000: A Data Analytic Approach, Part 2: The Hong Kong University of Science and Technology

    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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