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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

    • U

      University of Virginia

      Artificial Intelligence in Marketing

      Skills you'll gain: Marketing Strategies, Digital Transformation, Marketing, Marketing Analytics, Data-Driven Decision-Making, Artificial Intelligence, Algorithms, Business Strategy, Competitive Analysis, Network Analysis, Customer experience improvement, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      291 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      T

      The Hong Kong University of Science and Technology

      Matrix Algebra for Engineers

      Skills you'll gain: Linear Algebra, Engineering Calculations, Algebra, Engineering Analysis, General Mathematics, Advanced Mathematics, Applied Mathematics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      4.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Automatic Data Processing, Inc. (ADP)

      ADP Entry-Level Payroll Specialist

      Skills you'll gain: Payroll, Payroll Processing, Payroll Systems, Payroll Administration, Payroll Tax, Payroll Reporting, Compensation Strategy, Tax Management, Data Entry, Employee Onboarding, Labor Compliance, Labor Law, Human Resource Strategy, Compensation Management, Compensation and Benefits, Non-Profit Accounting, Tax Compliance, Human Resources, Benefits Administration, Specialized Accounting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      458 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Y

      Yale University

      Overcoming Dyslexia

      Skills you'll gain: Disabilities, Special Education, Literacy, Individualized Education Programs (IEP), Mental and Behavioral Health Specialties, Working With Children, Psychological Evaluations, Education Software and Technology, Resilience, Empowerment, Learning Strategies, Law, Regulation, and Compliance, Neurology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      977 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Digital Transformation with Google Cloud

      Skills you'll gain: Digital Transformation, Cloud Services, Cloud Infrastructure, Infrastructure As A Service (IaaS), Cloud Computing, Public Cloud, Business Transformation, Technology Strategies, Google Cloud Platform, Software As A Service, Platform As A Service (PaaS), Hybrid Cloud Computing, Cloud Security, Multi-Cloud, Capital Expenditure

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.5K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SAS

      Getting Started with SAS Programming

      Skills you'll gain: SAS (Software), Data Import/Export, Data Validation, Data Access, Data Manipulation, Exploratory Data Analysis, Data Analysis, SQL, Data Presentation, Microsoft Excel, Descriptive Statistics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Python Functions, Files, and Dictionaries

      Skills you'll gain: Data Import/Export, Python Programming, File Management, Programming Principles, Data Processing, Data Structures, Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Business English: Planning & Negotiating

      Skills you'll gain: Negotiation, Event Planning, Communication, Business Correspondence, Business Writing, Business Communication, Verbal Communication Skills, Proposal Development, Decision Making, Customer Complaint Resolution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      587 reviews

      Intermediate · Course · 1 - 4 Weeks

    • W

      Workday

      Workday Basics Series

      Skills you'll gain: Workday (Software), Business Process, Workflow Management, Business Reporting, System Configuration, Data Security, Organizational Structure, Branding, Data Integration

      4.8
      Rating, 4.8 out of 5 stars
      ·
      278 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Salesforce

      Sales and CRM Overview

      Skills you'll gain: Sales Process, Sales, Salesforce, Customer Relationship Management (CRM) Software, Sales Operations, Customer Relationship Management, Sales Development, B2B Sales, Data Management, Customer Data Management, Databases, Data Cleansing, Business-To-Consumer

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Developing Interpersonal Skills

      Skills you'll gain: Active Listening, Interpersonal Communications, Conflict Management, Constructive Feedback, Social Skills, Trustworthiness, Relationship Building, Business Communication, Collaboration, Communication, Communication Strategies, Professional Development, Empathy, Assertiveness, Emotional Intelligence, Influencing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI for Medical Prognosis

      Skills you'll gain: Risk Modeling, Decision Tree Learning, Predictive Modeling, Feature Engineering, Applied Machine Learning, Random Forest Algorithm, Forecasting, Machine Learning, Statistical Methods, Statistical Analysis, Probability & Statistics, Data Analysis, Regression Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      787 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Artificial Intelligence in Marketing: University of Virginia
    • Matrix Algebra for Engineers: The Hong Kong University of Science and Technology
    • ADP Entry-Level Payroll Specialist: Automatic Data Processing, Inc. (ADP)
    • Overcoming Dyslexia: Yale University
    • Digital Transformation with Google Cloud: Google Cloud
    • Getting Started with SAS Programming: SAS
    • Python Functions, Files, and Dictionaries: University of Michigan
    • Business English: Planning & Negotiating: University of Washington
    • Workday Basics Series: Workday
    • Sales and CRM Overview: Salesforce

    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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