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  • Using Machine Learning In Engineering

Results for "using machine learning in engineering"


  • Status: Free Trial
    Free Trial
    D

    Duke University

    Python, Bash and SQL Essentials for Data Engineering

    Skills you'll gain: Pandas (Python Package), Bash (Scripting Language), Version Control, Jupyter, Linux Commands, Git (Version Control System), Shell Script, Linux, Web Scraping, Linux Administration, Data Manipulation, MySQL, Microservices, AWS SageMaker, SQL, JSON, Cloud Engineering, Python Programming, Big Data, Data Science

    4.5
    Rating, 4.5 out of 5 stars
    ·
    464 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free
    Free
    D

    DeepLearning.AI

    Prompt Engineering with Llama 2&3

    Skills you'll gain: Prompt Engineering, LLM Application, Large Language Modeling, Responsible AI, AI Security, Code Review, Computer Programming Tools

    4.4
    Rating, 4.4 out of 5 stars
    ·
    50 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Embedded Systems using C

    Skills you'll gain: C (Programming Language), Embedded Systems, Embedded Software, Debugging, System Programming, Hardware Architecture, Microarchitecture, Computer Architecture, Data Structures, Peripheral Devices

    4
    Rating, 4 out of 5 stars
    ·
    120 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SkillUp

    Machine Learning for Medical Data

    Skills you'll gain: Healthcare Ethics, Health Informatics, Machine Learning, Deep Learning, Machine Learning Software, Clinical Informatics, Statistical Machine Learning, Convolutional Neural Networks, Data Preprocessing, Predictive Modeling, Electronic Medical Record System, Machine Learning Algorithms, Recurrent Neural Networks (RNNs), Model Evaluation, Data Analysis

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Clustering and Classification with Machine Learning in R

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, R (Software), Classification Algorithms, Machine Learning, Decision Tree Learning, Data Science, Ggplot2, Feature Engineering, Data Preprocessing, Statistical Programming, Predictive Modeling, Data Manipulation, Model Evaluation, Regression Analysis

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    Cluster Analysis and Unsupervised Machine Learning in Python

    Skills you'll gain: Unsupervised Learning, Machine Learning Algorithms, Interactive Data Visualization, Applied Machine Learning, Machine Learning, Data Mining, Scikit Learn (Machine Learning Library), Statistical Methods, Algorithms, NumPy, Python Programming, Development Environment

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Java Programming and Software Engineering Fundamentals

    Skills you'll gain: File I/O, Java Programming, Software Design, Debugging, Software Engineering, Javascript, Computer Programming, Event-Driven Programming, Encryption, Algorithms, Image Analysis, AI Personalization, Program Development, Data Processing, Statistical Analysis, Data Import/Export, Predictive Modeling, Integrated Development Environments, Data Analysis, Cascading Style Sheets (CSS)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22K reviews

    Beginner · Specialization · 3 - 6 Months

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

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: Transfer Learning, PyTorch (Machine Learning Library), Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Convolutional Neural Networks, Unsupervised Learning, Autoencoders, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Machine Learning Methods, Generative AI, Generative Adversarial Networks (GANs), Logistic Regression, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Data Preprocessing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4.1K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    Columbia University

    Introduction to Financial Engineering and Risk Management

    Skills you'll gain: Financial Market, Securities (Finance), Derivatives, Mathematical Modeling, Applied Mathematics, Capital Markets, Futures Exchange, Equities, Financial Modeling, Probability, Risk Management, Portfolio Management, Probability Distribution, Cash Flows

    4.7
    Rating, 4.7 out of 5 stars
    ·
    310 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Deep Learning with Python: CNN, ANN & RNN

    Skills you'll gain: Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Keras (Neural Network Library), Image Analysis, Deep Learning, Tensorflow, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Python Programming, Customer Analysis, Applied Machine Learning, Cloud Computing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    42 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: PCA

    Skills you'll gain: Dimensionality Reduction, NumPy, Data Preprocessing, Unsupervised Learning, Feature Engineering, Jupyter, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Calculus

    4
    Rating, 4 out of 5 stars
    ·
    3.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    An Introduction to Learning Experience Design (LXD)

    Skills you'll gain: Program Evaluation, Course Development, Web Content Accessibility Guidelines, Educational Materials, Multimedia, Instructional Design, Learning Theory, Design, Learning Management Systems, Education Software and Technology, Professional Development, Brainstorming, Needs Assessment, Content Creation, Motivational Skills, Diversity Equity and Inclusion Initiatives, User Centered Design, Prototyping, Design Strategies, Creative Thinking

    4.8
    Rating, 4.8 out of 5 stars
    ·
    115 reviews

    Beginner · Specialization · 1 - 3 Months

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

  • Python, Bash and SQL Essentials for Data Engineering: Duke University
  • Prompt Engineering with Llama 2&3: DeepLearning.AI
  • Embedded Systems using C: EDUCBA
  • Machine Learning for Medical Data : SkillUp
  • Clustering and Classification with Machine Learning in R: Packt
  • Cluster Analysis and Unsupervised Machine Learning in Python: Packt
  • Java Programming and Software Engineering Fundamentals: Duke University
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
  • Introduction to Financial Engineering and Risk Management: Columbia University
  • Deep Learning with Python: CNN, ANN & RNN: EDUCBA

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