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  • Using Machine Learning In Science And Engineering

Results for "using machine learning in science and engineering"


  • Status: Free
    Free
    D

    DeepLearning.AI

    Reinforcement Learning from Human Feedback

    Skills you'll gain: LLM Application, Large Language Modeling, Model Evaluation, Prompt Engineering, Reinforcement Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    32 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: Preview
    Preview
    Y

    Yale University

    Rocket Science for Everyone

    Skills you'll gain: Global Positioning Systems, Wireless Networks, General Networking, Communication Systems, Mechanics, Telecommunications, Technical Communication, Physics, Environmental Monitoring

    4.9
    Rating, 4.9 out of 5 stars
    ·
    669 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Deep Learning with PyTorch : Image Segmentation

    Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation, Convolutional Neural Networks, Transfer Learning, Image Analysis, Deep Learning, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    227 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    U

    University of Amsterdam

    Introduction to Communication Science

    Skills you'll gain: Culture, Interpersonal Communications, Media and Communications, Research, Persuasive Communication, Qualitative Research

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.9K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    DeepLearning.AI

    ChatGPT Prompt Engineering for Developers

    Skills you'll gain: OpenAI API, ChatGPT, Prompt Engineering, LLM Application, Large Language Modeling

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.2K reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistical Learning for Data Science

    Skills you'll gain: Model Evaluation, Statistical Modeling, Applied Machine Learning, Unsupervised Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Data Science, Decision Tree Learning, Statistical Methods, Artificial Neural Networks, Statistical Analysis, Regression Analysis, Predictive Modeling, Classification Algorithms, Supervised Learning, R Programming, Machine Learning Algorithms, Dimensionality Reduction, Machine Learning, Random Forest Algorithm

    Build toward a degree

    4
    Rating, 4 out of 5 stars
    ·
    19 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free
    Free
    C

    Coursera

    Data Science Coding Challenge: Loan Default Prediction

    Skills you'll gain: Applied Machine Learning, Jupyter, Predictive Modeling, Machine Learning, Data Manipulation, Data Preprocessing, Data Science, Model Evaluation, Data Analysis, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    108 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    Generative AI Course in Software Testing and Documentation

    Skills you'll gain: Software Documentation, API Testing, Test Automation, Generative AI, Software Testing, AI Security, Vulnerability Assessments, Test Case, Secure Coding, Full-Stack Web Development, LLM Application, Technical Documentation

    4.1
    Rating, 4.1 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Follow a Machine Learning Workflow

    Skills you'll gain: Data Preprocessing, Data Analysis, Data Collection, AI Workflows, Statistical Analysis, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Cleansing, Applied Machine Learning, Predictive Modeling, Machine Learning, Model Evaluation, Descriptive Statistics, Feature Engineering, Machine Learning Algorithms, Process Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    19 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Machine Learning, Visual Recognition and NLP

    Skills you'll gain: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    90 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Statistics for Data Science with Python

    Skills you'll gain: Descriptive Statistics, Statistical Analysis, Data Analysis, Probability Distribution, Statistics, Data Visualization, Statistical Methods, Statistical Hypothesis Testing, Regression Analysis, Probability & Statistics, Scientific Visualization, Data Science, Matplotlib, Exploratory Data Analysis, Probability, Correlation Analysis, Pandas (Python Package), Jupyter

    4.5
    Rating, 4.5 out of 5 stars
    ·
    453 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    NVIDIA: Fundamentals of Machine Learning

    Skills you'll gain: Data Preprocessing, Unsupervised Learning, Model Evaluation, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Feature Engineering, Artificial Intelligence, Deep Learning, Classification Algorithms, Statistical Analysis, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    21 reviews

    Intermediate · Course · 1 - 4 Weeks

1…313233…834

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

  • Reinforcement Learning from Human Feedback: DeepLearning.AI
  • Rocket Science for Everyone: Yale University
  • Deep Learning with PyTorch : Image Segmentation : Coursera
  • Introduction to Communication Science: University of Amsterdam
  • ChatGPT Prompt Engineering for Developers: DeepLearning.AI
  • Statistical Learning for Data Science: University of Colorado Boulder
  • Data Science Coding Challenge: Loan Default Prediction: Coursera
  • Generative AI Course in Software Testing and Documentation: Simplilearn
  • Follow a Machine Learning Workflow: CertNexus
  • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM

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