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  • Machine Learning Model Development

Results for "machine learning model development"


  • C

    Coursera

    Building an Ecosystem model with Insight Maker

    Skills you'll gain: Simulation and Simulation Software, Systems Thinking, Data Sharing, Data Modeling, Systems Design, Mathematical Modeling, Interactive Data Visualization, Biology, Environment, Storytelling

    4.7
    Rating, 4.7 out of 5 stars
    ·
    208 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • S

    SAS

    SAS Machine Learning Engineer

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Supervised Learning, Decision Tree Learning, Probability & Statistics, Statistics, Machine Learning Software, Classification And Regression Tree (CART), Workflow Management, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Applied Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    104 reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    D

    DeepLearning.AI

    PyTorch for Deep Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Model Deployment, Convolutional Neural Networks, Transfer Learning, Data Quality, Generative AI, Deep Learning, Image Analysis, MLOps (Machine Learning Operations), Data Pipelines, Embeddings, Applied Machine Learning, Artificial Neural Networks, Model Evaluation, Software Visualization, Computer Vision, Data Preprocessing, Natural Language Processing, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    87 reviews

    Intermediate · Professional Certificate · 1 - 3 Months

  • C

    Columbia University

    The Age of Sustainable Development

    Skills you'll gain: Sustainable Development, Climate Change Mitigation, Socioeconomics, Community Development, Social Justice, Human Development, Environmental Science, Economics, Health Policy, Natural Resource Management, Public Health, Food Services, World History

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.1K reviews

    Mixed · Course · 3 - 6 Months

  • M

    Meta

    Introduction to Front-End Development

    Skills you'll gain: HTML and CSS, Bootstrap (Front-End Framework), Responsive Web Design, Front-End Web Development, User Interface (UI), JavaScript Frameworks, Web Design and Development, Web Applications, Web Development Tools, React.js, General Networking

    4.8
    Rating, 4.8 out of 5 stars
    ·
    14K reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Introduction to Machine Learning: Supervised Learning

    Skills you'll gain: Scikit Learn (Machine Learning Library), Data Preprocessing

    4.1
    Rating, 4.1 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Washington

    Machine Learning: Clustering & Retrieval

    Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Scalability, Data Structures, Distributed Computing, Probability Distribution, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.4K reviews

    Mixed · Course · 1 - 3 Months

  • G

    Google Cloud

    Production Machine Learning Systems

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Systems Design, Tensorflow, Hybrid Cloud Computing, Google Cloud Platform, Systems Architecture, Performance Tuning, Machine Learning, Model Evaluation, Distributed Computing, Scalability

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1K reviews

    Advanced · Course · 1 - 3 Months

  • D

    Duke University

    Explainable Machine Learning (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Generative AI, Artificial Intelligence, Model Evaluation, Python Programming, Applied Machine Learning, Machine Learning, Visualization (Computer Graphics), Deep Learning, Plot (Graphics), Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Politecnico di Milano

    Machine Learning: an overview

    Skills you'll gain: Machine Learning Methods, Unsupervised Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning, Reinforcement Learning, Dimensionality Reduction, Model Evaluation, Classification Algorithms, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    208 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Advanced Machine Learning and Deep Learning

    Skills you'll gain: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Tensorflow, Predictive Modeling, Dimensionality Reduction, Classification Algorithms, Time Series Analysis and Forecasting, Model Evaluation

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Machine Learning in Retail

    Skills you'll gain: Customer Analysis, Unsupervised Learning, Customer Insights, Marketing Analytics, Applied Machine Learning, Data Analysis, Web Analytics, Retail Store Operations, Machine Learning, Machine Learning Algorithms, Histogram, Decision Tree Learning, Model Evaluation, Pandas (Python Package)

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular machine learning model development courses

  • Building an Ecosystem model with Insight Maker: Coursera
  • SAS Machine Learning Engineer: SAS
  • PyTorch for Deep Learning: DeepLearning.AI
  • The Age of Sustainable Development: Columbia University
  • Introduction to Front-End Development: Meta
  • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
  • Machine Learning: Clustering & Retrieval: University of Washington
  • Production Machine Learning Systems: Google Cloud
  • Explainable Machine Learning (XAI): Duke University
  • Machine Learning: an overview: Politecnico di Milano

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