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  • Pytorch Machine Learning Library

Results for "pytorch (machine learning library)"


  • P

    Packt

    Machine Learning for Absolute Beginners - Level 1

    Skills you'll gain: Generative AI, Responsible AI, Large Language Modeling, Generative Model Architectures, Data Ethics, Model Training, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, AI Security, Machine Learning, AI powered creativity, Applied Machine Learning, Artificial Intelligence, Supervised Learning, AI literacy, LLM Application, Artificial Neural Networks, Unsupervised Learning, Deep Learning

    Beginner Ā· Course Ā· 1 - 3 Months

  • U

    UniversitĆ  di Napoli Federico II

    Machine Learning e Data MiningĀ in R

    Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, R (Software), Machine Learning Methods, Statistical Machine Learning, Artificial Neural Networks, Applied Machine Learning, Transfer Learning, Machine Learning, Machine Learning Algorithms, Exploratory Data Analysis, Tidyverse (R Package), Deep Learning, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Wrangling, Data Manipulation

    ā˜… 4.9 (10) Ā· Intermediate Ā· Course Ā· 1 - 4 Weeks

  • N

    Northeastern University

    Machine Learning with Small Data Part 2

    Skills you'll gain: Generative AI, Transfer Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Applied Machine Learning, Small Data, Autoencoders, Model Training, Model Optimization, Deep Learning, Machine Learning Methods, Computer Graphics, Machine Learning, Image Analysis, Machine Learning Algorithms, Simulation and Simulation Software, Computer Vision, Simulations, 3D Assets, 3D Modeling

    Mixed Ā· Course Ā· 1 - 3 Months

  • C

    Coursera

    Training, Evaluating, and Monitoring Machine Learning Models

    Skills you'll gain: Model Evaluation, Model Training, MLOps (Machine Learning Operations), System Monitoring, Continuous Monitoring, Model Deployment, Verification And Validation, Performance Metric, A/B Testing, Statistical Methods, Failure Analysis, Statistical Hypothesis Testing, Applied Machine Learning, Statistical Analysis, Scikit Learn (Machine Learning Library), Benchmarking

    Intermediate Ā· Course Ā· 1 - 3 Months

  • N

    Northeastern University

    Introduction to Machine Learning and Algorithmic Bias

    Skills you'll gain: Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning, Governance, Data Ethics, Machine Learning Methods, Applied Machine Learning, Model Training, AI literacy, Model Evaluation, Risk Mitigation, Algorithms, Data Preprocessing, Data Collection, Regulatory Requirements, Business, Business Strategy, Data Transformation, Business Planning

    Beginner Ā· Course Ā· 1 - 4 Weeks

  • P

    Packt

    Matrix Calculus for Data Science & Machine Learning

    Skills you'll gain: Model Optimization, Calculus, Machine Learning Methods, NumPy, Machine Learning Algorithms, Applied Machine Learning, Tensorflow, Python Programming, Derivatives, Development Environment

    Intermediate Ā· Course Ā· 1 - 3 Months

  • N

    Northeastern University

    Machine Learning with Small Data Part 1

    Skills you'll gain: Transfer Learning, Small Data, Deep Learning, Applied Machine Learning, Machine Learning Methods, Model Training, Unsupervised Learning, Machine Learning, Data Synthesis, Supervised Learning

    Mixed Ā· Course Ā· 1 - 3 Months

  • E

    Edureka

    No-Code Data Science and Machine Learning

    Skills you'll gain: Model Evaluation, Data Analysis, Data Manipulation, Data Wrangling, Classification Algorithms, Data Collection, Image Analysis, Model Deployment, No-Code Development, Machine Learning Software, Data Analysis Software, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Methods, Data Science, Exploratory Data Analysis, Machine Learning Algorithms, Artificial Intelligence, Data Processing, Natural Language Processing

    Intermediate Ā· Specialization Ā· 3 - 6 Months

  • C

    Coursera

    Train, Tune, & Ship: End-to-End Machine Learning Engineering

    Skills you'll gain: Model Training, Fine-tuning, Model Evaluation, Model Optimization, Machine Learning Methods, Predictive Modeling, Tensorflow, Statistical Machine Learning, Machine Learning Software, MLOps (Machine Learning Operations), Computer Vision, Performance Testing, Transfer Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Verification And Validation, Network Architecture, Deep Learning, Benchmarking, PyTorch (Machine Learning Library)

    Intermediate Ā· Specialization Ā· 1 - 3 Months

  • G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - FranƧais

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, Application Lifecycle Management, Model Training, DevOps, Applied Machine Learning, Cloud Deployment, AI Workflows, Devops Tools, Automation, CI/CD

    Intermediate Ā· Course Ā· 1 - 4 Weeks

  • B

    Board Infinity

    DevOps for Machine Learning: CI/CD, APIs & Deployment

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, DevOps, CI/CD, Containerization, Application Deployment, Devops Tools, Cloud Deployment, Continuous Integration, Continuous Deployment, Docker (Software), Model Training, Model Evaluation, Restful API, Version Control, API Testing, Application Programming Interface (API), GitHub, Automation, Data Validation

    Beginner Ā· Course Ā· 1 - 4 Weeks

  • E

    Edureka

    Getting Started with Automated Machine Learning (AutoML)

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Optimization, Automation, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Data Validation, Data Quality

    Beginner Ā· Course Ā· 1 - 4 Weeks

1…293031…784

In summary, here are 10 of our most popular pytorch (machine learning library) courses

  • Machine Learning for Absolute Beginners - Level 1:Ā Packt
  • Machine Learning e Data MiningĀ in R:Ā UniversitĆ  di Napoli Federico II
  • Machine Learning with Small Data Part 2:Ā Northeastern University
  • Training, Evaluating, and Monitoring Machine Learning Models:Ā Coursera
  • Introduction to Machine Learning and Algorithmic Bias:Ā Northeastern University
  • Matrix Calculus for Data Science & Machine Learning:Ā Packt
  • Machine Learning with Small Data Part 1:Ā Northeastern University
  • No-Code Data Science and Machine Learning:Ā Edureka
  • Train, Tune, & Ship: End-to-End Machine Learning Engineering:Ā Coursera
  • Machine Learning Operations (MLOps): Getting Started - FranƧais:Ā Google Cloud

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