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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

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Exploring Data Transformation with Google Cloud

      Skills you'll gain: Data Governance, Digital Transformation, Real Time Data, Google Cloud Platform, Data Management, Data Warehousing, Big Data, Looker (Software), Cloud Storage, Analytics, Business Intelligence, Data Processing, Dataflow, Database Systems, Data Migration

      4.8
      Rating, 4.8 out of 5 stars
      ·
      897 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Spanish Vocabulary: Cultural Experience

      Skills you'll gain: Spanish Language, Language Learning, Vocabulary, Grammar, Oral Expression

      4.5
      Rating, 4.5 out of 5 stars
      ·
      556 reviews

      Beginner · Course · 1 - 4 Weeks

    • W

      Wesleyan University

      Introduction to Complex Analysis

      Skills you'll gain: Mathematical Theory & Analysis, Algebra, Advanced Mathematics, Geometry, Calculus, Trigonometry, Graphing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Hands-on Internet of Things

      Skills you'll gain: Internet Of Things, Networking Hardware, Network Infrastructure, Network Routers, General Networking, Embedded Software, Network Switches, Network Protocols, Network Architecture, Cloud Infrastructure, Wireless Networks, Infrastructure Security, Local Area Networks, Wide Area Networks, Virtual Local Area Network (VLAN), Emerging Technologies, Data Science, Telecommunications, Embedded Systems, Distributed Computing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      587 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Y

      Yale University

      Introduction to Medical Software

      Skills you'll gain: Clinical Trials, Software Development Life Cycle, Software Quality Assurance, Systems Development, Usability, Software Development, Medical Privacy, Human Computer Interaction, Verification And Validation, Risk Management, Medical Management, User Interface (UI), Health Care Procedure and Regulation, Software Design, Healthcare Industry Knowledge, Regulatory Compliance, Health Technology, Entrepreneurship, Artificial Intelligence and Machine Learning (AI/ML), Cybersecurity

      4.8
      Rating, 4.8 out of 5 stars
      ·
      263 reviews

      Intermediate · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      SQL: A Practical Introduction for Querying Databases

      Skills you'll gain: SQL, Relational Databases, Microsoft SQL Servers, MySQL, Query Languages, Database Systems, Databases, Database Management, Stored Procedure, IBM DB2, Data Manipulation, Data Analysis, Transaction Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      595 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Python Essentials for MLOps

      Skills you'll gain: Pandas (Python Package), MLOps (Machine Learning Operations), NumPy, Data Manipulation, Software Testing, Data Import/Export, Python Programming, Debugging, Data Structures, Object Oriented Programming (OOP), Scripting, Program Development, Numerical Analysis, Application Programming Interface (API), Command-Line Interface

      4.2
      Rating, 4.2 out of 5 stars
      ·
      273 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI and LLMs: Architecture and Data Preparation

      Skills you'll gain: Large Language Modeling, Generative AI, PyTorch (Machine Learning Library), Text Mining, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Data Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      209 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      TOEFL Speaking and Writing Sections Skills Mastery

      Skills you'll gain: English Language, Oral Comprehension, Language Competency

      4.4
      Rating, 4.4 out of 5 stars
      ·
      178 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Enterprise Workflow

      Skills you'll gain: Feature Engineering, Data Visualization, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Dashboard, Unit Testing, Artificial Neural Networks, Data Science, Artificial Intelligence

      4.3
      Rating, 4.3 out of 5 stars
      ·
      320 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Toronto

      State Estimation and Localization for Self-Driving Cars

      Skills you'll gain: Global Positioning Systems, Estimation, Machine Learning Methods, Computer Vision, Spatial Data Analysis, Mathematical Modeling, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      835 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Machine Learning Operations (MLOps): Getting Started

      Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, DevOps, Machine Learning Software, Continuous Deployment, Machine Learning, Continuous Integration, Continuous Monitoring, Automation, Software Development Methodologies

      4
      Rating, 4 out of 5 stars
      ·
      462 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Exploring Data Transformation with Google Cloud: Google Cloud
    • Spanish Vocabulary: Cultural Experience: University of California, Davis
    • Introduction to Complex Analysis: Wesleyan University
    • Hands-on Internet of Things: University of Illinois Urbana-Champaign
    • Introduction to Medical Software: Yale University
    • SQL: A Practical Introduction for Querying Databases: IBM
    • Python Essentials for MLOps: Duke University
    • Generative AI and LLMs: Architecture and Data Preparation: IBM
    • TOEFL Speaking and Writing Sections Skills Mastery: University of California, Irvine
    • IBM AI Enterprise Workflow: IBM

    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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