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    • Applied Machine Learning

    Applied Machine Learning Courses Online

    Explore applied machine learning for practical applications. Learn to implement models using scikit-learn, TensorFlow, and real-world datasets.

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    Explore the Applied Machine Learning Course Catalog

    • D

      DeepLearning.AI

      AI Python for Beginners

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Artificial Intelligence, Jupyter, Python Programming, Data Analysis, ChatGPT, Application Development, Generative AI, Scripting, Automation, Computer Programming, Application Programming Interface (API)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      118 reviews

      Beginner · Course · 1 - 4 Weeks

    • T

      The University of Edinburgh

      Philosophy and the Sciences: Introduction to the Philosophy of Cognitive Sciences

      Skills you'll gain: Artificial Intelligence, Agentic systems, Psychology, Anthropology, Human Learning, Human Development, Machine Learning, Science and Research

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.4K reviews

      Mixed · Course · 1 - 3 Months

    • T

      Technical University of Denmark (DTU)

      Antimicrobial resistance - theory and methods

      Skills you'll gain: Laboratory Testing, Quality Assurance, Microbiology, Infectious Diseases, Bioinformatics, Medical Laboratory, Clinical Laboratory Science, Epidemiology, Public Health and Disease Prevention, Data Quality, Medical Science and Research, Biology, Public Health, Pharmacology, Molecular Biology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.5K reviews

      Intermediate · Course · 1 - 3 Months

    • N

      Northwestern University

      Fundamentals of Digital Image and Video Processing

      Skills you'll gain: Image Analysis, Digital Communications, Computer Vision, Data Processing, Visualization (Computer Graphics), Medical Imaging, Electrical and Computer Engineering, Motion Graphics, Linear Algebra, Color Theory, Bayesian Statistics, Applied Mathematics, Sampling (Statistics), Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.8K reviews

      Mixed · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      الذكاء الاصطناعي للجميع

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Generative AI, Artificial Neural Networks, Deep Learning, Team Building, Data Ethics, Business Solutions, Machine Learning, Business Transformation, Data Science, Business Strategy, Data Literacy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      911 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Software Processes and Agile Practices

      Skills you'll gain: Agile Methodology, Kanban Principles, Agile Software Development, Software Development Methodologies, Software Development Life Cycle, Scrum (Software Development), Software Engineering, Process Driven Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Washington

      Programming Languages, Part A

      Skills you'll gain: Software Installation, Programming Principles, Other Programming Languages, Functional Design, Ruby (Programming Language), Software Design Patterns, Computational Thinking

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.9K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Politecnico di Milano

      Artificial Intelligence: an Overview

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Intellectual Property, Ethical Standards And Conduct, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Legal Risk, Artificial Intelligence, Reinforcement Learning, General Data Protection Regulation (GDPR), Dimensionality Reduction, Governance, Cloud Platforms, Deep Learning, Law, Regulation, and Compliance, Computer Science, Computer Vision

      4.6
      Rating, 4.6 out of 5 stars
      ·
      621 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      T

      Tableau Learning Partner

      Introduction to Tableau

      Skills you'll gain: Tableau Software, Data Presentation, Interactive Data Visualization, Data Visualization Software, Business Analytics, Business Intelligence, Data Analysis, Data Integration, Data Cleansing, Data Processing, Performance Tuning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      265 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Global Financial Markets and Instruments

      Skills you'll gain: Financial Market, Investments, Securities (Finance), Financial Systems, Investment Management, Securities Trading, Capital Markets, Equities, Finance, Financial Services, Market Liquidity, Asset Management, Portfolio Management, Derivatives, Fixed Asset, Cash Flows

      4.5
      Rating, 4.5 out of 5 stars
      ·
      2.2K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Introduction to FPGA Design for Embedded Systems

      Skills you'll gain: Field-Programmable Gate Array (FPGA), Hardware Design, Electronic Hardware, Electronic Systems, Embedded Systems, Application Specific Integrated Circuits, Electrical and Computer Engineering, Schematic Diagrams, Technical Design, System Design and Implementation, Computer Architecture, Software Design, Hardware Architecture, Microarchitecture, Computational Logic, System Configuration, Verification And Validation, Design Software, Simulation and Simulation Software, Prototyping

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Introduction to Embedded Systems Software and Development Environments

      Skills you'll gain: Software Configuration Management, Embedded Software, Embedded Systems, Git (Version Control System), Version Control, System Programming, Build Tools, Software Development Tools, C (Programming Language), Development Environment, Software Design, Hardware Architecture, Debugging, Command-Line Interface

      4.5
      Rating, 4.5 out of 5 stars
      ·
      639 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • AI Python for Beginners: DeepLearning.AI
    • Philosophy and the Sciences: Introduction to the Philosophy of Cognitive Sciences: The University of Edinburgh
    • Antimicrobial resistance - theory and methods: Technical University of Denmark (DTU)
    • Fundamentals of Digital Image and Video Processing: Northwestern University
    • الذكاء الاصطناعي للجميع: DeepLearning.AI
    • Software Processes and Agile Practices: University of Alberta
    • Programming Languages, Part A: University of Washington
    • Artificial Intelligence: an Overview: Politecnico di Milano
    • Introduction to Tableau: Tableau Learning Partner
    • Global Financial Markets and Instruments: Rice University

    Skills you can learn in Machine Learning

    Python Programming (33)
    Tensorflow (32)
    Deep Learning (30)
    Artificial Neural Network (24)
    Big Data (18)
    Statistical Classification (17)
    Reinforcement Learning (13)
    Algebra (10)
    Bayesian (10)
    Linear Algebra (10)
    Linear Regression (9)
    Numpy (9)

    Frequently Asked Questions about Applied Machine Learning

    It's important to learn about applied machine learning if you want to pursue a career in it or if you want to know how to use it in data analysis. Applied machine learning can be used to solve problems and collect insights from big data sets. When you learn machine learning fundamentals, you will be able to do predictive analysis, data analysis, and text mining. You'll be able to apply different programming languages and platforms to the data problems faced in your organization. Applied machine learning can help you pull insights and make decisions from the information that has been collecting for a long time.‎

    Career opportunities that arise from learning applied machine learning are mostly in computer programming. Applied machine learning, also known as automatic machine learning or AutoML, involves using computer languages for data analysis of large data. Being able to create the programs to do this is important. It is also useful to understand the power and limitations of applied machine learning if you will be using reports and making decisions based on applied machine learning. More and more management information systems include aspects of applied machine learning. This makes the field more useful to those who use data in their daily work.‎

    Online courses on Coursera can help you learn applied machine learning in several languages and platforms, including Python, Matlab, Google Cloud, H20 in R, and TensorFlow. Some courses cover programming languages, and others look at how machine learning is applied to decision making in specific fields. Most courses are at an intermediate level, but a few offer a beginner-level introduction to the fundamentals of applied machine learning and how to chart, plot, and mine text to make big data usable. The courses include lectures, readings, and projects so that you can apply what you learn. Some courses stand alone, and others are part of Specializations and Professional Certificates.‎

    Online Applied Machine Learning courses offer a convenient and flexible way to enhance your existing knowledge or learn new Applied Machine Learning skills. With a wide range of Applied Machine Learning classes, you can conveniently learn at your own pace to advance your Applied Machine Learning career skills.‎

    When looking to enhance your workforce's skills in Applied Machine Learning, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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