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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

      Universitat Autònoma de Barcelona

      English for Teaching Purposes

      Skills you'll gain: Classroom Management, Language Competency, English Language, Verbal Communication Skills, Higher Education, Collaboration, Vocabulary, Instructional Strategies, Grammar, Communication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      602 reviews

      Mixed · Course · 1 - 4 Weeks

    • I

      Icahn School of Medicine at Mount Sinai

      Systems Biology and Biotechnology

      Skills you'll gain: Matlab, Bioinformatics, Quantitative Research, Unsupervised Learning, Data Synthesis, Mathematical Modeling, Molecular Biology, Data Analysis, Pharmacology, Science and Research, Network Analysis, Analytical Skills, Scientific Methods, Differential Equations, Computational Logic, Experimentation, Biochemistry, Laboratory Experience, Analysis, Biology

      4.4
      Rating, 4.4 out of 5 stars
      ·
      973 reviews

      Intermediate · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Principal Component Analysis with NumPy

      Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Seaborn, Matplotlib, Cloud Computing, Jupyter, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Python Programming, Linear Algebra

      4.6
      Rating, 4.6 out of 5 stars
      ·
      295 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of Colorado Boulder

      The Structured Query Language (SQL)

      Skills you'll gain: SQL, Database Systems, Database Theory, Database Management, Query Languages, Database Design, Relational Databases, Data Access, Data Analysis, Data Manipulation, Data Modeling, Data Integrity

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1K reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Recommendation Systems on Google Cloud

      Skills you'll gain: Reinforcement Learning, Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Deep Learning, Applied Machine Learning, Unsupervised Learning, Artificial Neural Networks, Feature Engineering, Predictive Modeling, Data Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      478 reviews

      Advanced · Course · 1 - 3 Months

    • S

      Shanghai Jiao Tong University

      Learn Mandarin Chinese

      Skills you'll gain: Oral Comprehension, Language Learning, Cultural Diversity, Culture, Vocabulary, Language Competency, Literacy, Cultural Sensitivity

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • P

      Palo Alto Networks

      Palo Alto Networks Cybersecurity

      Skills you'll gain: Network Security, Cloud Security, DevSecOps, Cybersecurity, Cloud-Native Computing, General Networking, TCP/IP, Zero Trust Network Access, Cryptography, Endpoint Security, Cyber Threat Intelligence, Cloud Computing Architecture, Malware Protection, Firewall, Cloud Computing, Encryption, Network Infrastructure, Security Information and Event Management (SIEM), Application Security, Infrastructure Security

      4.6
      Rating, 4.6 out of 5 stars
      ·
      770 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • D

      Duke University

      Large Language Model Operations (LLMOps)

      Skills you'll gain: Prompt Engineering, Databricks, Large Language Modeling, Generative AI, Performance Analysis, Apache Airflow, Workflow Management, Data Lakes, ChatGPT, Extract, Transform, Load, OpenAI, AWS SageMaker, Performance Tuning, Scalability, Dataflow, Data Transformation, Data Infrastructure, Microsoft Azure, MLOps (Machine Learning Operations), Natural Language Processing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      176 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Illinois Urbana-Champaign

      Text Retrieval and Search Engines

      Skills you'll gain: Text Mining, Natural Language Processing, Data Mining, Unstructured Data, Big Data, Web Analytics and SEO, Machine Learning, Information Architecture, Statistical Methods, Algorithms, Probability & Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      959 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      S

      Stanford University

      Social and Economic Networks: Models and Analysis

      Skills you'll gain: Network Analysis, Network Model, Social Sciences, Sociology, Economics, Policy, and Social Studies, Game Theory, Behavioral Economics, Graph Theory, Mathematical Modeling, Markov Model, Probability & Statistics, Probability Distribution, Bayesian Statistics, Simulations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      754 reviews

      Advanced · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Machine Learning with PySpark: Customer Churn Analysis

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, PySpark, Data Processing, Data Cleansing, Data Transformation, Apache Spark, Data-Driven Decision-Making, Decision Tree Learning, Predictive Modeling, Predictive Analytics, Applied Machine Learning, Application Deployment, Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • D

      Duke University

      Developing Explainable AI (XAI)

      Skills you'll gain: Data Ethics, Generative AI, Artificial Intelligence, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Information Privacy

      4.6
      Rating, 4.6 out of 5 stars
      ·
      22 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 Teaching Purposes: Universitat Autònoma de Barcelona
    • Systems Biology and Biotechnology: Icahn School of Medicine at Mount Sinai
    • Principal Component Analysis with NumPy: Coursera Project Network
    • The Structured Query Language (SQL): University of Colorado Boulder
    • Recommendation Systems on Google Cloud: Google Cloud
    • Learn Mandarin Chinese: Shanghai Jiao Tong University
    • Palo Alto Networks Cybersecurity: Palo Alto Networks
    • Large Language Model Operations (LLMOps): Duke University
    • Text Retrieval and Search Engines: University of Illinois Urbana-Champaign
    • Social and Economic Networks: Models and Analysis: Stanford University

    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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