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  • Using Machine Learning In Science And Engineering

Results for "using machine learning in science and engineering"


  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud

    Skills you'll gain: Big Data, Apache Spark, Apache Hadoop, Apache Mahout, Distributed Computing, Data Storage, Data Processing, NoSQL, Apache Kafka, Cloud Computing, Real Time Data, Databases, Analytics, Deep Learning, Scalability, Machine Learning Algorithms, Graph Theory, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    342 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free
    Free
    A

    American Museum of Natural History

    Virology and Epidemiology in the Time of COVID-19

    Skills you'll gain: Health Disparities, Social Determinants Of Health, Infectious Diseases, Immunology, Epidemiology, Public Health, Pathology, Microbiology, Mathematical Modeling, Molecular Biology, Taxonomy, Cell Biology, Diagnostic Tests, Clinical Trials

    4.8
    Rating, 4.8 out of 5 stars
    ·
    48 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Securing Virtual Machines using Chrome Enterprise Premium

    Skills you'll gain: Remote Access Systems, Firewall, Virtual Machines, Virtual Networking, TCP/IP, Identity and Access Management, Proxy Servers, Test Tools

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Introduction to Scripting in Python

    Skills you'll gain: Data Visualization Software, File I/O, Data Visualization, Plot (Graphics), Package and Software Management, Python Programming, Data Cleansing, Programming Principles, Data Manipulation, Development Environment, Data Structures, Scripting, Data Storage, Data Import/Export, Data Processing, Data Analysis, Program Development, Data Integration, Scripting Languages, Computer Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.3K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Parallel Programming in Java

    Skills you'll gain: Dataflow, Java, Distributed Computing, Programming Principles, Application Frameworks, Algorithms, Performance Tuning, Functional Design, Computer Science

    4.6
    Rating, 4.6 out of 5 stars
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    1.2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    Asynchronism using .NET Core: Implement a banking system

    Skills you'll gain: Real Time Data, Transaction Processing, Application Development, .NET Framework, Systems Integration, C# (Programming Language), Performance Tuning, Programming Principles, Data Analysis Software

    Intermediate · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Process Documents with Python Using the Document AI API

    Skills you'll gain: Google Cloud Platform, Unstructured Data, Data Processing, Cloud API, Jupyter, Real Time Data, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Beginner · Project · Less Than 2 Hours

  • C

    Coursera

    Simulation of Call Centre Operations Using R Simmer

    Skills you'll gain: Simulations, Resource Management, Call Center Experience, Process Management, Workflow Management, Data Analysis, Process Analysis, Plot (Graphics), R Programming, Statistical Analysis, Statistical Modeling

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Executives and Business Leaders

    Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, Data Ethics, AI Product Strategy, AI Enablement, Artificial Intelligence, Risk Analysis, Hybrid Cloud Computing, Business Leadership, Risk Mitigation, Compliance Training, IBM Cloud, Cloud Computing Architecture, Data Management, Data Strategy, Brainstorming, Return On Investment, Model Deployment, Governance

    4.7
    Rating, 4.7 out of 5 stars
    ·
    660 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Stanford University

    Introduction to Statistics

    Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
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    4.3K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    Università Bocconi

    Management of Fashion and Luxury Companies

    Skills you'll gain: Retail Store Operations, Brand Management, Case Studies, Global Marketing, Communication Strategies, Business Management, Business Modeling, Business Strategy, New Business Development, E-Commerce, Market Dynamics, Consumer Behaviour, Market Trend, Product Development

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6.2K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    Universitat de Barcelona

    Prehospital care of acute stroke and patient selection for endovascular treatment using the RACE scale

    Skills you'll gain: Acute Care, Triage, Emergency Medical Services, Emergency Departments, Emergency Medicine, Neurology, Patient Evaluation, Patient Treatment, Diagnostic Tests, Clinical Assessment

    4.8
    Rating, 4.8 out of 5 stars
    ·
    123 reviews

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular using machine learning in science and engineering courses

  • Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud: University of Illinois Urbana-Champaign
  • Virology and Epidemiology in the Time of COVID-19: American Museum of Natural History
  • Securing Virtual Machines using Chrome Enterprise Premium: Google Cloud
  • Introduction to Scripting in Python: Rice University
  • Parallel Programming in Java: Rice University
  • Asynchronism using .NET Core: Implement a banking system: Coursera
  • Process Documents with Python Using the Document AI API: Google Cloud
  • Simulation of Call Centre Operations Using R Simmer: Coursera
  • Generative AI for Executives and Business Leaders: IBM
  • Introduction to Statistics: Stanford University

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