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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
      Free
      U

      University of Pennsylvania

      English for Journalism

      Skills you'll gain: Journalism, Research, Oral Expression, Interviewing Skills, Vocabulary, Writing, Media and Communications, Grammar, Electronic Media, Digital Publishing, English Language, Storytelling, Editing, Proofreading, Ethical Standards And Conduct

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

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      P

      Pontificia Universidad Católica de Chile

      Introducción a la programación en Python I: Aprendiendo a programar con Python

      Skills you'll gain: Python Programming, Data Structures, Computer Programming, Program Development, Application Development, Algorithms, File Management

      4.4
      Rating, 4.4 out of 5 stars
      ·
      4.8K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Pennsylvania

      Introduction to Programming with Python and Java

      Skills you'll gain: Matplotlib, Object Oriented Design, Java, Object Oriented Programming (OOP), Data Analysis, Unit Testing, Pandas (Python Package), Eclipse (Software), Data Structures, Data Cleansing, Debugging, Pivot Tables And Charts, Data Visualization Software, Software Testing, Integrated Development Environments, Program Development, Programming Principles, Python Programming, Computer Programming, Computational Thinking

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Illinois Urbana-Champaign

      Instructional Design Foundations and Applications

      Skills you'll gain: Instructional and Curriculum Design, Needs Assessment, Instructional Design, Learning Theory, Diversity and Inclusion, Education and Training, Talent Management, Systems Analysis, Job Analysis, Analysis

      4
      Rating, 4 out of 5 stars
      ·
      768 reviews

      Mixed · Course · 1 - 3 Months

    • D

      Duke University

      Introduction to Logic and Critical Thinking

      Skills you'll gain: Deductive Reasoning, Logical Reasoning, Computational Logic, Probability, Sampling (Statistics), Persuasive Communication, Research, Writing, Statistics, Scientific Methods, Oral Expression, Correlation Analysis, Interpersonal Communications, Interactive Learning, Learning Strategies, Instructional Strategies

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Michigan

      Capstone: Retrieving, Processing, and Visualizing Data with Python

      Skills you'll gain: Data Processing, Data Collection, Data Visualization Software, Data Manipulation, Python Programming, Exploratory Data Analysis, Algorithms, Data Analysis, Web Scraping, Unstructured Data

      4.7
      Rating, 4.7 out of 5 stars
      ·
      14K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of California, Irvine

      The Pronunciation of American English

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      S

      Simplilearn

      AI ML with Deep Learning and Supervised Models

      Skills you'll gain: Supervised Learning, Data Modeling, Data Analysis, Regression Analysis, Unsupervised Learning, Artificial Intelligence, Classification And Regression Tree (CART), Machine Learning Algorithms, Tensorflow, Deep Learning, Keras (Neural Network Library), Machine Learning, Applied Machine Learning, Artificial Neural Networks, Predictive Modeling, Predictive Analytics, Data Ethics, Algorithms, Random Forest Algorithm, Computer Vision

      Beginner · Specialization · 1 - 3 Months

    • M

      Macquarie University

      Excel Skills for Business: Intermediate II

      Skills you'll gain: Excel Formulas, Microsoft Excel, Excel Macros, Data Validation, Spreadsheet Software, Data Analysis Expressions (DAX), Data Modeling, Financial Forecasting, Predictive Modeling, Financial Modeling, Workflow Management, Data Integrity, Business Modeling, Automation, Process Optimization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8.3K reviews

      Intermediate · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Advanced Computer Vision with TensorFlow

      Skills you'll gain: Computer Vision, Tensorflow, Image Analysis, Applied Machine Learning, Deep Learning, Feature Engineering, Artificial Neural Networks, Visualization (Computer Graphics), Data Processing, Network Architecture

      4.7
      Rating, 4.7 out of 5 stars
      ·
      520 reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      Python Project for Data Science

      Skills you'll gain: Dashboard, Pandas (Python Package), Data Visualization Software, Web Scraping, Jupyter, Matplotlib, Data Analysis, Data Science, Data Processing, Data Manipulation, Python Programming, Data Collection

      4.5
      Rating, 4.5 out of 5 stars
      ·
      4.6K reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Build Better Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Data Ethics, Deep Learning, Machine Learning, Image Analysis, Artificial Neural Networks, Performance Testing, Machine Learning Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      679 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • English for Journalism: University of Pennsylvania
    • Introducción a la programación en Python I: Aprendiendo a programar con Python: Pontificia Universidad Católica de Chile
    • Introduction to Programming with Python and Java: University of Pennsylvania
    • Instructional Design Foundations and Applications: University of Illinois Urbana-Champaign
    • Introduction to Logic and Critical Thinking: Duke University
    • Capstone: Retrieving, Processing, and Visualizing Data with Python: University of Michigan
    • The Pronunciation of American English: University of California, Irvine
    • AI ML with Deep Learning and Supervised Models: Simplilearn
    • Excel Skills for Business: Intermediate II: Macquarie University
    • Advanced Computer Vision with TensorFlow: DeepLearning.AI

    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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