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  • Using Machine Learning In Science And Engineering

Results for "using machine learning in science and engineering"


  • Status: Preview
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    U

    University of Pennsylvania

    Philosophy of Science

    Skills you'll gain: Scientific Methods, Science and Research, Research, Experimentation, Research Methodologies, Research Design, Data Collection, Peer Review, Simulations, Ethical Standards And Conduct

    4.7
    Rating, 4.7 out of 5 stars
    ·
    253 reviews

    Intermediate · Course · 1 - 4 Weeks

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    U

    University of Manchester

    Protecting the World: Introducing Corrosion Science and Engineering

    Skills you'll gain: Chemical Engineering, Oil and Gas, Environmental Engineering, Process Engineering, Materials science, Engineering, Engineering Design Process, Failure Analysis, Industrial Design, Engineering Calculations, Chemistry, Environmental Issue, Laboratory Testing

    4.6
    Rating, 4.6 out of 5 stars
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    951 reviews

    Intermediate · Course · 1 - 4 Weeks

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    U

    University of Colorado Boulder

    Introduction to Machine Learning: Unsupervised Learning

    Skills you'll gain: Feature Engineering, AI Personalization, Statistical Methods, Linear Algebra

    Intermediate · Course · 1 - 3 Months

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    G

    Google Cloud

    Machine Learning in the Enterprise - Português Brasileiro

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, Data Governance, AI Workflows, Data Management, Predictive Modeling, Machine Learning, Model Evaluation, AI Orchestration, Data Pipelines, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    V

    Vanderbilt University

    Advanced Prompt Engineering for Everyone

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Prompt Patterns, Generative AI, ChatGPT, AI Personalization, Anthropic Claude, LLM Application, Large Language Modeling, Artificial Intelligence, Context Management, Model Evaluation, Data Analysis, Verification And Validation

    4.8
    Rating, 4.8 out of 5 stars
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    486 reviews

    Intermediate · Course · 1 - 3 Months

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    C

    Coursera

    Databricks Machine Learning Fundamentals

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Application Deployment, Model Evaluation, Real Time Data, Exploratory Data Analysis, Engineering

    Intermediate · Course · 1 - 4 Weeks

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    N

    Nanyang Technological University, Singapore

    Introduction to Forensic Science

    Skills you'll gain: Criminal Investigation and Forensics, Scientific Methods, Chemistry, Blood Collection, Investigation, Case Studies, Biochemistry, Analytical Chemistry, Pharmacology, Laboratory Testing, Pathology, Molecular Biology, Deductive Reasoning, Estimation

    4.9
    Rating, 4.9 out of 5 stars
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    2.8K reviews

    Mixed · Course · 1 - 3 Months

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    S

    SAS

    SAS Machine Learning Engineer

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Supervised Learning, Decision Tree Learning, Probability & Statistics, Statistics, Machine Learning Software, Classification And Regression Tree (CART), Workflow Management, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Applied Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    103 reviews

    Advanced · Professional Certificate · 3 - 6 Months

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    U

    University of Michigan

    Ethics in Engineering

    Skills you'll gain: Failure Analysis, Engineering Practices, Biomedical Engineering, Ethical Standards And Conduct, Social Impact, Engineering, Case Studies, Civil Engineering, Software Engineering, Safety Assurance

    4.7
    Rating, 4.7 out of 5 stars
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    81 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    IBM

    Deep Learning with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Applied Machine Learning, Supervised Learning, Logistic Regression, Classification Algorithms, Model Evaluation

    4.5
    Rating, 4.5 out of 5 stars
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    79 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Status: AI skills
    AI skills
    I

    IBM

    IBM Data Engineering

    Skills you'll gain: NoSQL, Apache Spark, Data Warehousing, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, SQL, IBM Cognos Analytics, MySQL, Database Administration, Data Store, Generative AI, Professional Networking, Data Import/Export, Python Programming, Data Analysis, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    62K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: New
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    B

    Birla Institute of Technology & Science, Pilani

    Discrete Mathematics for Computer Science and Engineering

    Skills you'll gain: Theoretical Computer Science, Applied Mathematics, Algorithms, Cryptography, Relational Databases, Data Management

    Beginner · Course · 1 - 3 Months

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

  • Philosophy of Science: University of Pennsylvania
  • Protecting the World: Introducing Corrosion Science and Engineering: University of Manchester
  • Introduction to Machine Learning: Unsupervised Learning: University of Colorado Boulder
  • Machine Learning in the Enterprise - Português Brasileiro: Google Cloud
  • Advanced Prompt Engineering for Everyone: Vanderbilt University
  • Databricks Machine Learning Fundamentals: Coursera
  • Introduction to Forensic Science: Nanyang Technological University, Singapore
  • SAS Machine Learning Engineer: SAS
  • Ethics in Engineering: University of Michigan
  • Deep Learning with PyTorch: IBM

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