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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 Minnesota

      Software Development Lifecycle

      Skills you'll gain: User Story, Agile Software Development, Software Design Patterns, Design Thinking, Software Development Methodologies, Software Design, Agile Methodology, Agile Project Management, Engineering Software, Process Mapping, Software Engineering, Kanban Principles, Software Development Life Cycle, Software Quality Assurance, Program Development, Application Security, Scrum (Software Development), Requirements Analysis, Lean Methodologies, Lean Manufacturing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9.6K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Toronto

      Self-Driving Cars

      Skills you'll gain: Computer Vision, Image Analysis, Control Systems, Embedded Software, Automation, Deep Learning, Software Architecture, Simulations, Safety Assurance, Artificial Neural Networks, Global Positioning Systems, Hardware Architecture, Systems Architecture, Artificial Intelligence, Estimation, Algorithms, Machine Learning Methods, Predictive Modeling, Scenario Testing, Spatial Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free
      Free
      N

      National Taiwan University

      機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

      Skills you'll gain: Supervised Learning, Machine Learning, Machine Learning Algorithms, Data Validation, Classification And Regression Tree (CART), Applied Machine Learning, Algorithms, Regression Analysis, Predictive Modeling, Verification And Validation, Feature Engineering, Statistical Methods, Data Transformation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      330 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Washington

      Business English: Networking

      Skills you'll gain: Business Writing, Business Correspondence, Professional Networking, English Language, Writing, Oral Expression, Business Communication, Rapport Building, Telephone Skills, Language Competency, Relationship Building, Verbal Communication Skills, Grammar, Vocabulary, Scheduling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.4K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of California, Irvine

      Learn English: Advanced Grammar and Punctuation

      Skills you'll gain: Video Production, Grammar, Peer Review, Writing, Editing, Proofreading, English Language, Language Competency, Language Learning, Creativity

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.6K reviews

      Advanced · Specialization · 3 - 6 Months

    • U

      University of Pennsylvania

      Fintech: Foundations & Applications of Financial Technology

      Skills you'll gain: FinTech, Portfolio Management, Consumer Lending, Return On Investment, Blockchain, Cryptography, Credit/Debit Card Processing, Digital Assets, Financial Services, Payment Processing, Investments, Lending and Underwriting, Investment Management, Technology Strategies, Emerging Technologies, Risk Analysis, Fundraising and Crowdsourcing, Financial Market, Market Analysis, Artificial Intelligence and Machine Learning (AI/ML)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of California, Davis

      Learn Spanish: Basic Spanish Vocabulary

      Skills you'll gain: Peer Review, Language Learning, Spanish Language, Grammar, Oral Expression, Oral Comprehension, Vocabulary, Culture, Writing, Writing and Editing, Research, Literacy

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Build a Machine Learning Web App with Streamlit and Python

      Skills you'll gain: Machine Learning Algorithms, Data Visualization, Dashboard, Interactive Data Visualization, Data Visualization Software, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Web Applications, Predictive Modeling, Classification And Regression Tree (CART), Python Programming, Pandas (Python Package)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      405 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Cisco Learning and Certifications

      Cybersecurity Operations Fundamentals

      Skills you'll gain: MITRE ATT&CK Framework, Incident Response, Cyber Threat Intelligence, Cyber Threat Hunting, Key Management, Data Security, Threat Modeling, Computer Security Incident Management, File Systems, Endpoint Security, Cryptography, Network Security, Distributed Denial-Of-Service (DDoS) Attacks, Linux, Malware Protection, Vulnerability Assessments, Encryption, Threat Management, Threat Detection, Network Monitoring

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Illinois Urbana-Champaign

      Accounting Data Analytics

      Skills you'll gain: Machine Learning Algorithms, Jupyter, Tableau Software, Matplotlib, Data Visualization Software, Unsupervised Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, Machine Learning, Excel Macros, Text Mining, Applied Machine Learning, Time Series Analysis and Forecasting, Data Processing, Analytics, SQL, Supervised Learning, Accounting and Finance Software, Specialized Accounting

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      564 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of California San Diego

      Big Data

      Skills you'll gain: Apache Spark, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Graph Theory, Data Pipelines, Database Design, Data Modeling, Regression Analysis, Applied Machine Learning, Data Presentation, Scalability, Data Mining, Data Processing, Statistical Analysis, Data Management, NoSQL, Database Management Systems, Network Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      14K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Toronto

      GIS, Mapping, and Spatial Analysis

      Skills you'll gain: ArcGIS, Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, GIS Software, Data Mapping, Data Visualization, Metadata Management, Query Languages, Global Positioning Systems, Quantitative Research, Data Compilation, Data Modeling, Typography, Data Manipulation, Data Processing, Data Storytelling, Design Elements And Principles, Image Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3K reviews

      Beginner · Specialization · 3 - 6 Months

    Applied Machine Learning learners also search

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    1…303132…449

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

    • Software Development Lifecycle: University of Minnesota
    • Self-Driving Cars: University of Toronto
    • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
    • Business English: Networking: University of Washington
    • Learn English: Advanced Grammar and Punctuation: University of California, Irvine
    • Fintech: Foundations & Applications of Financial Technology: University of Pennsylvania
    • Learn Spanish: Basic Spanish Vocabulary: University of California, Davis
    • Build a Machine Learning Web App with Streamlit and Python: Coursera Project Network
    • Cybersecurity Operations Fundamentals: Cisco Learning and Certifications
    • Accounting Data Analytics: University of Illinois Urbana-Champaign

    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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