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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

    • E

      Epic Games

      Epic Games Game Design

      Skills you'll gain: Unreal Engine, Game Design, Video Game Development, Animation and Game Design, Ideation, 3D Modeling, Prototyping, Visualization (Computer Graphics), Software Documentation, Software Design Documents, User Experience Design, Computer Graphics, Usability, Interactive Design, Virtual Environment, User Interface (UI) Design, Version Control, Conceptual Design, Web Content Accessibility Guidelines, UI Components

      4.2
      Rating, 4.2 out of 5 stars
      ·
      344 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Colorado Boulder

      Excel/VBA for Creative Problem Solving, Part 1

      Skills you'll gain: Excel Macros, Programming Principles, Visual Basic (Programming Language), Data Structures, Program Development, Computer Programming, Spreadsheet Software, Automation, Algorithms, Debugging, Data Management, Data Cleansing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.3K reviews

      Beginner · Course · 1 - 3 Months

    • H

      Hebrew University of Jerusalem

      Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course)

      Skills you'll gain: Computer Science, Computer Engineering, Computer Architecture, Computer Programming, System Software, Virtual Machines, Operating Systems, Software Architecture, Algorithms, Software Design, Program Development, Object Oriented Programming (OOP), Data Structures, System Implementation, Computer Graphics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      525 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Michigan

      Introduction to Machine Learning in Sports Analytics

      Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Statistical Machine Learning, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Machine Learning, Data Analysis, Random Forest Algorithm

      4.8
      Rating, 4.8 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 4 Weeks

    • A

      Atlassian

      Version Control with Git

      Skills you'll gain: Git (Version Control System), Version Control, GitHub, Bitbucket, Software Configuration Management, Command-Line Interface, Code Review, Collaborative Software, Graphical Tools

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3K reviews

      Mixed · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      IA Para Todos (Español)

      Skills you'll gain: Market Opportunities, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Strategic Thinking, Artificial Neural Networks, Data Science, Business Intelligence, Deep Learning, Machine Learning, Business Transformation, Computer Vision

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      AI Workflow: Business Priorities and Data Ingestion

      Skills you'll gain: Design Thinking, Data Science, Artificial Intelligence, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Quality, Business Priorities, NumPy, IBM Cloud, Python Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      164 reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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 Integration, Data Analysis, Data Cleansing, Data Processing, Performance Tuning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      256 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      U

      University of Illinois Urbana-Champaign

      Introduction to Artificial Intelligence

      Skills you'll gain: Generative AI, Applied Machine Learning, Deep Learning, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Unsupervised Learning, Regression Analysis, Emerging Technologies, Law, Regulation, and Compliance, Business Analytics, Governance

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      The Science of Success: What Researchers Know that You Should Know

      Skills you'll gain: Growth Mindedness, Action Oriented, Personal Development, Resilience, Conscientiousness, Optimism, Goal Setting, Open Mindset, Self-Motivation, Self-Awareness, Relationship Building, Positivity, Motivational Skills, Persistence, Social Skills, Lifelong Learning, Prioritization, Planning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.8K reviews

      Beginner · Course · 1 - 3 Months

    • A

      Arizona State University

      Teach English Now! Teaching Language Online

      Skills you'll gain: Grammar, English Language, Education Software and Technology, Language Learning, Oral Comprehension, Vocabulary, Requirements Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      682 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of California, Irvine

      IELTS Writing Section Skills Mastery

      Skills you'll gain: Time Management, Literacy, Grammar, Concision, Analytical Skills, Planning, English Language, Vocabulary

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 4 Weeks

    Applied Machine Learning learners also search

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

    • Epic Games Game Design: Epic Games
    • Excel/VBA for Creative Problem Solving, Part 1: University of Colorado Boulder
    • Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course): Hebrew University of Jerusalem
    • Introduction to Machine Learning in Sports Analytics: University of Michigan
    • Version Control with Git: Atlassian
    • IA Para Todos (Español): DeepLearning.AI
    • AI Workflow: Business Priorities and Data Ingestion: IBM
    • Introduction to Tableau: Tableau Learning Partner
    • Introduction to Artificial Intelligence: University of Illinois Urbana-Champaign
    • The Science of Success: What Researchers Know that You Should Know: University of Michigan

    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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