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  • Using Machine Learning In Engineering

Results for "using machine learning in engineering"


  • C

    Commonwealth Education Trust

    Foundations of Teaching for Learning: Being a Teacher

    Skills you'll gain: Pedagogy, Communication Strategies, Teaching, Instructional Strategies, Classroom Management, Student Engagement, Professional Development, Self-Awareness, Cultural Diversity

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    A Practical Approach to Timeseries Forecasting Using Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Forecasting, Statistical Modeling, Model Evaluation, Feature Engineering, Data Visualization Software

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    L

    Ludwig-Maximilians-Universität München (LMU)

    Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python

    Skills you'll gain: Finite Element Methods, Numerical Analysis, Engineering Analysis, Jupyter, Engineering Calculations, Differential Equations, Applied Mathematics, Mathematical Modeling, Distributed Computing, Python Programming, Mechanics, Vibrations, Simulations

    4.8
    Rating, 4.8 out of 5 stars
    ·
    389 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Online teaching: Using Zoom to connect with learners

    Skills you'll gain: Collaborative Software, Digital pedagogy, Education Software and Technology, Instructional Design, Planning, Virtual Environment, Collaboration, System Configuration, Safety and Security, Information Privacy

    4.8
    Rating, 4.8 out of 5 stars
    ·
    76 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced CNNs, Transfer Learning, and Recurrent Networks

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Natural Language Processing, Network Architecture, Model Evaluation, Performance Tuning

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Explainable deep learning models for healthcare - CDSS 3

    Skills you'll gain: Autoencoders, Model Evaluation, Deep Learning, Healthcare 5.0, Recurrent Neural Networks (RNNs), Applied Machine Learning, Time Series Analysis and Forecasting, Machine Learning, Convolutional Neural Networks, Responsible AI, Electocardiography, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Create a Simple Gantt Chart using Microsoft Excel

    Skills you'll gain: Timelines, Project Schedules, Microsoft Excel, Data Visualization, Dashboard, Scheduling, Project Management Software

    4.5
    Rating, 4.5 out of 5 stars
    ·
    119 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning with Keras and Practical Applications

    Skills you'll gain: Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), Transfer Learning, Data Analysis, Data Preprocessing, Image Analysis, Deep Learning, Classification Algorithms, Applied Machine Learning, Computer Vision, Model Evaluation, Machine Learning, Performance Tuning

    Intermediate · Course · 3 - 6 Months

  • Status: Preview
    Preview
    I

    IBM

    z/Architecture Assembler Language Pt 2: Machine Instructions

    Skills you'll gain: z/OS, Computer Architecture, Mainframe Computing, System Programming, Computer Programming, Computational Logic, Data Storage, Job Control Language (JCL)

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Building Test Automation Framework using Selenium and TestNG

    Skills you'll gain: Test Automation, Test Case, Selenium (Software), Software Testing, Test Tools, Maintainability, Test Data, Debugging, Configuration Management

    4.5
    Rating, 4.5 out of 5 stars
    ·
    158 reviews

    Advanced · Guided Project · Less Than 2 Hours

  • P

    Packt

    Advanced Chatbots with Deep Learning and Python

    Skills you'll gain: Large Language Modeling, Deep Learning, Data Preprocessing, Keras (Neural Network Library), Tensorflow, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Generative Model Architectures, Natural Language Processing

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Using Google Forms to Analyze User Research Data

    Skills you'll gain: User Research, User Feedback, Project Scoping, Data Presentation, Analysis, Data Analysis, Mobile Banking, Data Collection

    4.7
    Rating, 4.7 out of 5 stars
    ·
    269 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 engineering courses

  • Foundations of Teaching for Learning: Being a Teacher: Commonwealth Education Trust
  • A Practical Approach to Timeseries Forecasting Using Python: Packt
  • Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python: Ludwig-Maximilians-Universität München (LMU)
  • Online teaching: Using Zoom to connect with learners : Macquarie University
  • Advanced CNNs, Transfer Learning, and Recurrent Networks: Packt
  • Explainable deep learning models for healthcare - CDSS 3: University of Glasgow
  • Create a Simple Gantt Chart using Microsoft Excel: Coursera
  • Deep Learning with Keras and Practical Applications: Packt
  • z/Architecture Assembler Language Pt 2: Machine Instructions: IBM
  • Building Test Automation Framework using Selenium and TestNG: Coursera

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