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  • Pytorch Machine Learning Library

Results for "pytorch (machine learning library)"


  • P

    Packt

    Azure ML Bootcamp: Machine Learning on the Cloud

    Skills you'll gain: Data Preprocessing, Model Deployment, Model Evaluation, Model Optimization, Generative Model Architectures, Feature Engineering, Model Training, Machine Learning Methods, Microsoft Azure, Applied Machine Learning, Machine Learning, Azure DevOps Pipelines, Data Processing, Large Language Modeling, Cloud Deployment, Machine Learning Software, Data Cleansing, Supervised Learning, Machine Learning Algorithms, AI Workflows

    Intermediate · Specialization · 1 - 3 Months

  • G

    Google Cloud

    Introduction to Generative AI Learning Path

    Skills you'll gain: Responsible AI, LLM Application, Google Gemini, AI literacy, Deep Learning, Stakeholder Analysis

    ★ 4.7 (14K) · Intermediate · Specialization · 1 - 3 Months

    Category: Top AI Program
    Top AI Program
  • C

    Coursera

    Machine/Deep Learning for Mining Quality Prediction-Enhanced

    Skills you'll gain: Exploratory Data Analysis, Model Training, Model Evaluation, Data Preprocessing, Regression Analysis, Predictive Modeling, Machine Learning Methods, Applied Machine Learning, Data Analysis, Plot (Graphics), Machine Learning, Data Visualization, Decision Tree Learning, Predictive Analytics, Machine Learning Algorithms, Data Visualization Software, Artificial Neural Networks, Deep Learning, Statistical Methods, Python Programming

    ★ 4.9 (7) · Beginner · Guided Project · Less Than 2 Hours

  • E

    EDUCBA

    Apply R for Predictive Analytics and Machine Learning

    Skills you'll gain: Predictive Modeling, Model Evaluation, Data Visualization, Statistical Analysis, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Data Mining, Advanced Analytics, Statistical Modeling, Risk Modeling, R (Software), R Programming, Data Preprocessing, Data Cleansing, Transaction Processing, Unsupervised Learning, Model Training, Model Optimization, Machine Learning

    Beginner · Specialization · 1 - 3 Months

  • W

    Whizlabs

    Azure ML: Designing and Preparing Machine Learning Solutions

    Skills you'll gain: Model Deployment, Machine Learning Algorithms, Machine Learning Methods, Data Management, Model Training, Data Import/Export, Data Pipelines, Development Environment, Statistical Modeling

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Data Engineering, Big Data, and Machine Learning on GCP

    Skills you'll gain: Dashboard Creation, Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Apache Hadoop, Dashboard, Data Architecture, Data Governance, Apache Kafka, Data Store, Cloud Services, Cloud Deployment, Data Access, Cloud API, Data Quality, Data Cleansing, Machine Learning Methods

    ★ 4.6 (4.4K) · Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Advancing Your Career in AI and Machine Learning Engineering

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Technical Communication, MLOps (Machine Learning Operations), Machine Learning, Artificial Intelligence, Model Deployment, Technical Design, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

  • W

    Whizlabs

    Azure ML: Explore & Configure the Machine Learning Workspace

    Skills you'll gain: Statistical Modeling, Microsoft Azure, Statistical Methods, Data Processing, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Data Store, Apache Spark, Azure Synapse Analytics, Model Training, Cloud Computing, Data Preprocessing, Data Management, Model Deployment, Development Environment

    Intermediate · Course · 1 - 4 Weeks

  • C

    Cleveland Clinic

    Computer Vision and Sequence Analysis in Machine Learning

    Skills you'll gain: Convolutional Neural Networks, Transfer Learning, Predictive Modeling, Applied Machine Learning, Biomedical Engineering, Model Evaluation, Markov Model, Health Informatics, Data Structures

    Intermediate · Course · 1 - 4 Weeks

  • S

    SAS

    Statistics You Need to Know for Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Logistic Regression, Correlation Analysis, Applied Machine Learning, Model Evaluation, Data Modeling

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Tidymodels in R: Building tidy machine learning models

    Skills you'll gain: Tidyverse (R Package), Model Evaluation, Data Visualization, Clinical Data Management, Statistical Visualization, Data Preprocessing, Model Deployment, Data Manipulation, Data Wrangling, Model Training, Predictive Modeling, Model Optimization, R Programming, Data Processing, R (Software), Ggplot2, Predictive Analytics, Data Pipelines, Machine Learning Methods, Machine Learning

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Naive Bayes 101: Resume Selection with Machine Learning

    Skills you'll gain: Data Visualization, Plot (Graphics), Exploratory Data Analysis, Text Mining, Model Evaluation, Model Training, Classification Algorithms, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Statistical Machine Learning, Data Preprocessing, Natural Language Processing, Predictive Modeling, Machine Learning, Unstructured Data, Data Analysis, Machine Learning Algorithms, Python Programming, Computer Science

    ★ 4.5 (17) · Intermediate · Guided Project · Less Than 2 Hours

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

  • Azure ML Bootcamp: Machine Learning on the Cloud: Packt
  • Introduction to Generative AI Learning Path: Google Cloud
  • Machine/Deep Learning for Mining Quality Prediction-Enhanced: Coursera
  • Apply R for Predictive Analytics and Machine Learning: EDUCBA
  • Azure ML: Designing and Preparing Machine Learning Solutions: Whizlabs
  • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
  • Advancing Your Career in AI and Machine Learning Engineering: Coursera
  • Azure ML: Explore & Configure the Machine Learning Workspace: Whizlabs
  • Computer Vision and Sequence Analysis in Machine Learning: Cleveland Clinic
  • Statistics You Need to Know for Machine Learning: SAS

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