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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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    G

    Google

    Create High-Fidelity Designs and Prototypes in Figma

    Skills you'll gain: Figma (Design Software), User Experience Design, Mockups, User Centered Design, Usability Testing, User Interface (UI) Design, Design Elements And Principles, Interaction Design, Prototyping, Technical Communication, Typography, Layout Design, Color Theory

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

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Azure ML Bootcamp: Machine Learning on the Cloud

    Skills you'll gain: Data Preprocessing, Model Deployment, Model Evaluation, Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Large Language Modeling, Data Cleansing, Supervised Learning, Data Transformation, Cloud Deployment, Data Ethics, CI/CD, Machine Learning Algorithms, Transfer Learning, Data Quality, Performance Tuning

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Google Cloud

    Smart Analytics, Machine Learning, and AI on GCP en Français

    Skills you'll gain: Google Cloud Platform, Unstructured Data, Tensorflow, Model Deployment, Applied Machine Learning, Jupyter, Cloud API, Big Data, Data Pipelines, Machine Learning, Natural Language Processing, Image Analysis

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Object Oriented Programming in Java

    Skills you'll gain: Event-Driven Programming, Interactive Data Visualization, Java, Java Programming, Object Oriented Programming (OOP), User Interface (UI), Object Oriented Design, Computer Programming, Algorithms, Software Engineering, Data Structures, Programming Principles, Software Documentation, Development Environment, Debugging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Data Structures and Algorithms

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Program Development, Bioinformatics, Data Storage, Development Testing, Theoretical Computer Science, Computational Thinking, Network Analysis, Test Case, Programming Principles, Computer Programming, Python Programming, C and C++, Java, Rust (Programming Language), Javascript, Software Testing, Debugging

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    O

    O.P. Jindal Global University

    Unsupervised Learning and Its Applications in Marketing

    Skills you'll gain: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Feature Engineering, Autoencoders, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Marketing, Statistical Machine Learning, Target Audience, Python Programming, Market Analysis, Exploratory Data Analysis, Model Evaluation, Algorithms

    Beginner · Course · 1 - 3 Months

  • U

    University of Leeds

    Master of Science in Data Science (Statistics)

    Skills you'll gain: Data Ethics, Data Presentation, Regression Analysis, Web Scraping, Data Storytelling, Statistical Hypothesis Testing, Matplotlib, Bayesian Statistics, Data Analysis, Statistical Machine Learning, Model Evaluation, Exploratory Data Analysis, Classification And Regression Tree (CART), Network Analysis, Statistical Methods, Data Visualization, Applied Machine Learning, Statistical Modeling, Data Preprocessing, Linear Algebra

    Earn a degree

    Degree · 1 - 4 Years

  • C

    Coursera

    Build a Machine Learning Image Classifier with Python

    Skills you'll gain: Data Preprocessing, Keras (Neural Network Library), Model Evaluation, Image Analysis, Data Manipulation, Visualization (Computer Graphics), Convolutional Neural Networks, Applied Machine Learning, Computer Vision, Jupyter, Deep Learning, Python Programming, Machine Learning

    4.1
    Rating, 4.1 out of 5 stars
    ·
    11 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - 한국어

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, DevOps, Application Lifecycle Management, Continuous Deployment, Model Evaluation, Applied Machine Learning, Cloud Solutions, Automation, Data Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - Français

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, DevOps, Application Lifecycle Management, Model Evaluation, AI Workflows, Cloud Deployment, Continuous Deployment, Automation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Introduction to Data Science and scikit-learn in Python

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, NumPy, Classification Algorithms, Data Preprocessing, Data Analysis, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Data Science, Statistical Hypothesis Testing, Supervised Learning, Statistical Methods, Data Structures

    3.7
    Rating, 3.7 out of 5 stars
    ·
    52 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Using Date and Time Functions in Excel

    Skills you'll gain: Microsoft Excel, Spreadsheet Software, Real Time Data

    4.6
    Rating, 4.6 out of 5 stars
    ·
    29 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

  • Create High-Fidelity Designs and Prototypes in Figma: Google
  • Azure ML Bootcamp: Machine Learning on the Cloud: Packt
  • Smart Analytics, Machine Learning, and AI on GCP en Français: Google Cloud
  • Object Oriented Programming in Java: University of California San Diego
  • Data Structures and Algorithms: University of California San Diego
  • Unsupervised Learning and Its Applications in Marketing: O.P. Jindal Global University
  • Master of Science in Data Science (Statistics): University of Leeds
  • Build a Machine Learning Image Classifier with Python: Coursera
  • Machine Learning Operations (MLOps): Getting Started - 한국어: Google Cloud
  • Machine Learning Operations (MLOps): Getting Started - Français: Google Cloud

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