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  • Pytorch Machine Learning Library

Results for "pytorch (machine learning library)"


  • C

    Coursera

    Interpretable machine learning applications: Part 3

    Skills you'll gain: Artificial Neural Networks, Tensorflow, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Machine Learning Software, Deep Learning, Machine Learning, Feature Engineering, Risking, Model Evaluation, Mortgage Loans, Consumer Lending

    4.6
    Rating, 4.6 out of 5 stars
    ·
    29 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Building, Optimizing, and Validating Machine Learning Models

    Skills you'll gain: Model Training, Model Optimization, Model Evaluation, Machine Learning Software, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Feature Engineering, Workflow Management, Verification And Validation, Machine Learning, Supervised Learning, Statistical Machine Learning, Statistical Modeling, Scikit Learn (Machine Learning Library), Benchmarking, Random Forest Algorithm, Performance Analysis, Cost Management, Resource Utilization

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 4

    Skills you'll gain: Predictive Modeling, Applied Machine Learning, Data Preprocessing, Data Analysis, Data Import/Export, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Model Training, Data Processing, Analysis, Machine Learning, Classification Algorithms, Machine Learning Methods, Random Forest Algorithm, Statistical Visualization, Software Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • D

    Duke University

    Cloud Machine Learning Engineering and MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Cloud Engineering, Google Cloud Platform, Model Deployment, Cloud Applications, Cloud Development, Cloud API, Cloud Deployment, Artificial Intelligence, Machine Learning, Microsoft Azure, AI Workflows, Software Engineering, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    92 reviews

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Applied Machine Learning: Techniques and Applications

    Skills you'll gain: Computer Vision, Model Evaluation, Supervised Learning, Image Analysis, Data Preprocessing, Applied Machine Learning, Machine Learning Methods, Feature Engineering, Machine Learning Algorithms, Data Processing, Model Training, Model Optimization, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Machine Learning Software, Data Integration, Data Transformation, Classification Algorithms, Dimensionality Reduction

    3.7
    Rating, 3.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Employee Attrition Prediction Using Machine Learning

    Skills you'll gain: Data Preprocessing, Data Visualization, Logistic Regression, Feature Engineering, Statistical Visualization, Data Processing, Data Cleansing, Data Wrangling, People Analytics, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Science, Applied Machine Learning, Model Training, Statistical Modeling, Statistical Machine Learning, Regression Analysis, Supervised Learning, Model Evaluation, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    15 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • E

    EDUCBA

    Octave for Machine Learning: Analyze & Visualize

    Skills you'll gain: Plot (Graphics), Scientific Visualization, Text Mining, Statistical Analysis, Matlab, Statistical Methods, Data Visualization, Visualization (Computer Graphics), Descriptive Statistics, Unstructured Data, Data Analysis, Statistical Software, Computer Programming, Mathematical Software, Applied Machine Learning, Data Transformation, Data Preprocessing, Data Manipulation, Analytics, Data Processing

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    AWS AutoGluon for Machine Learning Classification

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Model Optimization, Classification Algorithms, Amazon Web Services, Model Training, Machine Learning Methods, Machine Learning Software, Predictive Modeling, Machine Learning, Python Programming

    Intermediate · Guided Project · Less Than 2 Hours

  • J

    Johns Hopkins University

    Advanced Methods in Machine Learning Applications

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Machine Learning Methods, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Model Optimization, Logistic Regression, Classification Algorithms

    Intermediate · Course · 1 - 3 Months

  • J

    John Wiley & Sons

    Data Processing, Machine Learning, and Model Evaluation

    Skills you'll gain: Data Preprocessing, Model Evaluation, Data Processing, Model Deployment, Data Transformation, MLOps (Machine Learning Operations), Unsupervised Learning, Data Cleansing, Predictive Modeling, Model Training, Data Science, Data Analysis, Applied Machine Learning, Model Optimization, Technical Communication, Supervised Learning, Machine Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning - Anomaly Detection via PyCaret

    Skills you'll gain: Model Deployment, Anomaly Detection, Model Training, Jupyter, Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Scientific Visualization, Data Visualization, Applied Machine Learning, Machine Learning Methods, Data Analysis, Data Preprocessing, Machine Learning, Development Environment

    3.8
    Rating, 3.8 out of 5 stars
    ·
    18 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • H

    HRCI

    Learning and Development

    Skills you'll gain: Training and Development, Training Programs, Employee Training, Developing Training Materials, Adult Education, Drive Engagement, Employee Engagement, Compliance Training, Instructional Design, Workforce Development, On-The-Job Training, Organizational Development, Needs Assessment, Program Evaluation, Professional Development, Learning Styles

    4.8
    Rating, 4.8 out of 5 stars
    ·
    847 reviews

    Beginner · Course · 1 - 4 Weeks

1…222324…780

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

  • Interpretable machine learning applications: Part 3: Coursera
  • Building, Optimizing, and Validating Machine Learning Models: Coursera
  • Interpretable Machine Learning Applications: Part 4: Coursera
  • Cloud Machine Learning Engineering and MLOps: Duke University
  • Applied Machine Learning: Techniques and Applications: Johns Hopkins University
  • Employee Attrition Prediction Using Machine Learning: Coursera
  • Octave for Machine Learning: Analyze & Visualize: EDUCBA
  • AWS AutoGluon for Machine Learning Classification: Coursera
  • Advanced Methods in Machine Learning Applications: Johns Hopkins University
  • Data Processing, Machine Learning, and Model Evaluation: John Wiley & Sons

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