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  • Using Machine Learning In Science And Engineering

Results for "using machine learning in science and engineering"


  • Status: Free Trial
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    U

    University of Washington

    Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Applied Machine Learning, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Text Mining, Machine Learning Algorithms, Scalability, Machine Learning, Natural Language Processing, Big Data, Probability & Statistics, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.7K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    I

    IBM

    Data Science Methodology

    Skills you'll gain: Jupyter, Data Modeling, Model Deployment, Data Science, Data Preprocessing, Data Cleansing, Data-Driven Decision-Making, Data Mining, Predictive Modeling, Data Manipulation, Model Evaluation, Business Analysis, Data Analysis, Business Requirements, Decision Tree Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    21K reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning in the Enterprise - Español

    Skills you'll gain: MLOps (Machine Learning Operations), Enterprise Modeling, Google Cloud Platform, AI Workflows, Workflow Management, Model Deployment, Data Preprocessing, Tensorflow, Data Pipelines, Applied Machine Learning, Model Evaluation, Machine Learning, Predictive Modeling, Data Management

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    D

    Duke University

    Data Science Math Skills

    Skills you'll gain: Probability, Graphing, Algebra, Bayesian Statistics, Arithmetic, Data Science, Calculus, General Mathematics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Regression

    Skills you'll gain: Regression Analysis, Model Evaluation, Predictive Modeling, Supervised Learning, Statistical Modeling, Feature Engineering, Machine Learning, Data Preprocessing, Python Programming, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.6K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Siemens

    Introduction to Model-Based Systems Engineering

    Skills you'll gain: Model Based Systems Engineering, Unified Modeling Language, Systems Engineering, Systems Design, Software Systems, Systems Architecture, Systems Analysis, Product Lifecycle Management, System Requirements, Requirements Analysis, Verification And Validation, Cloud Computing

    4.1
    Rating, 4.1 out of 5 stars
    ·
    70 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Introduction to Data Engineering

    Skills you'll gain: Data Pipelines, Data Architecture, Requirements Analysis, Amazon Web Services, Data Warehousing, Data Processing, System Requirements, Extract, Transform, Load, Performance Tuning, Security Controls, Cloud Computing, Scalability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    468 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning in the Enterprise - 한국어

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Management, Data Governance, AI Workflows, Google Cloud Platform, Development Environment, Model Evaluation, Machine Learning, Data Processing, Feature Engineering, Data Transformation, Containerization

    Intermediate · Course · 1 - 3 Months

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

    IBM

    IBM Data Science

    Skills you'll gain: Exploratory Data Analysis, Dashboard, Data Visualization Software, Data Visualization, Model Evaluation, SQL, Unsupervised Learning, Plotly, Interactive Data Visualization, Data Transformation, Supervised Learning, Jupyter, Data Analysis, Data Cleansing, Data Manipulation, Data Literacy, Data Mining, Generative AI, Professional Networking, Data Import/Export

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    149K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
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    U

    University of London

    Mathematics for Computer Science

    Skills you'll gain: Arithmetic, Applied Mathematics, Computer Science, Computational Thinking, General Mathematics, Mathematical Theory & Analysis, Algebra, Cryptography, Systems Of Measurement

    4.2
    Rating, 4.2 out of 5 stars
    ·
    268 reviews

    Beginner · Course · 1 - 4 Weeks

  • N

    Northeastern University

    Master of Science in Data Analytics Engineering

    Skills you'll gain: Data Storytelling, Text Mining, Data Warehousing, Unsupervised Learning, Database Design, Data Governance, Data Mining, Interactive Data Visualization, Generative AI, Web Scraping, Plotly, Classification Algorithms, PyTorch (Machine Learning Library), Operations Research, Supervised Learning, NoSQL, Database Theory, Exploratory Data Analysis, Time Series Analysis and Forecasting, Natural Language Processing

    Earn a degree

    Degree · 1 - 4 Years

  • Status: Free Trial
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    N

    New York University

    Guided Tour of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Model Evaluation, Applied Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Finance, Financial Market, Tensorflow, Logistic Regression, Jupyter, Reinforcement Learning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    680 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

  • Machine Learning: Classification: University of Washington
  • Data Science Methodology: IBM
  • Machine Learning in the Enterprise - Español: Google Cloud
  • Data Science Math Skills: Duke University
  • Machine Learning: Regression: University of Washington
  • Introduction to Model-Based Systems Engineering: Siemens
  • Introduction to Data Engineering: DeepLearning.AI
  • Machine Learning in the Enterprise - 한국어: Google Cloud
  • IBM Data Science: IBM
  • Mathematics for Computer Science: University of London

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