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  • Pytorch Machine Learning Library

Results for "pytorch (machine learning library)"


  • E

    EDUCBA

    Applied Python: Web Dev, Machine Learning & Cryptography

    Skills you'll gain: Cryptography, Model Evaluation, Exploratory Data Analysis, Event-Driven Programming, Encryption, Cryptographic Protocols, Server Side, Web Development, Regression Analysis, Apache, Model Training, Web Services, Machine Learning Algorithms, Classification Algorithms, Data Preprocessing, Secure Coding, Public Key Cryptography Standards (PKCS), Web Scraping, Natural Language Processing, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    75 reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Data Engineering & Pipeline Reliability for Machine Learning

    Skills you'll gain: Data Preprocessing, Data Cleansing, Data Pipelines, Feature Engineering, Data Quality, MLOps (Machine Learning Operations), Extract, Transform, Load, Data Transformation, Data Integration, Dataflow, Development Environment, Data Wrangling, Apache Airflow, Package and Software Management, Git (Version Control System), Quality Assurance, Exploratory Data Analysis, Cost Management, Resource Utilization, Virtual Environment

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Mining Quality Prediction Using Machine & Deep Learning

    Skills you'll gain: Regression Analysis, Predictive Modeling, Exploratory Data Analysis, Model Evaluation, Model Training, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning Methods, Statistical Methods, Applied Machine Learning, Machine Learning, Data Preprocessing, Decision Tree Learning, Deep Learning, Data Analysis, Test Data, Artificial Neural Networks, Data Import/Export, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    69 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • U

    University of Michigan

    Introduction to Machine Learning in Sports Analytics

    Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Model Evaluation, Machine Learning Methods, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Machine Learning Software, Analytics, Decision Tree Learning, Machine Learning, Logistic Regression, Data Analysis, Data Analysis Software, Classification Algorithms, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Analyze Financial Fraud Using Machine Learning Analytics

    Skills you'll gain: Financial Data, Data-Driven Decision-Making, Profit and Loss (P&L) Management, Banking Services, Risk Modeling, Decision Intelligence, Lending and Underwriting, Financial Statement Analysis, Applied Machine Learning, Financial Systems, Consumer Lending, Operational Analysis, Loans, Anomaly Detection, Statistical Machine Learning, Financial Regulation, Regulatory Compliance, Benchmarking

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Predicting Extreme Climate Behavior with Machine Learning

    Skills you'll gain: Machine Learning Methods, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Regression Analysis, Supervised Learning, Data Science, Decision Tree Learning, Statistical Analysis, Classification Algorithms, Predictive Modeling, Artificial Neural Networks, Logistic Regression

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    Advanced Machine Learning with R: Apply & Predict

    Skills you'll gain: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Statistical Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Forecasting, Data Mining, Data Preprocessing, Model Optimization, Model Evaluation, Exploratory Data Analysis

    Mixed · Course · 1 - 4 Weeks

  • M

    Microsoft

    Microsoft Azure for AI and Machine Learning

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), AI Integrations, Model Training, Cloud Deployment, Data Pipelines, AI Workflows, AI Security, Data Preprocessing, CI/CD, Continuous Monitoring, Identity and Access Management, Version Control, Data Storage

    4.7
    Rating, 4.7 out of 5 stars
    ·
    26 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    CNNs with TensorFlow: Basics of Machine Learning

    Skills you'll gain: Tensorflow, Convolutional Neural Networks, Keras (Neural Network Library), Matplotlib, Plot (Graphics), Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Python Programming, Model Training, Model Evaluation, Model Optimization, Adaptability, Problem Solving

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Machine Learning with PySpark: Customer Churn Analysis

    Skills you'll gain: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Model Training, Data Cleansing, Data Import/Export, Data Transformation, Apache Spark, Data-Driven Decision-Making, AI Enablement, Decision Tree Learning, Predictive Modeling, Predictive Analytics, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    26 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Cervical Cancer Risk Prediction Using Machine Learning

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Data Analysis, Classification Algorithms, Data Preprocessing, Model Training, Scikit Learn (Machine Learning Library), Predictive Modeling, Data Import/Export, Applied Machine Learning, Data Visualization Software, Machine Learning, Risk Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    44 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • U

    Universidad de los Andes

    Algoritmos de negociación basados en machine learning​

    Skills you'll gain: Technical Analysis, Financial Trading, Financial Market, Performance Measurement, Capital Markets, Market Trend, Investment Management, Investments, Securities Trading, Applied Machine Learning, Market Data, Machine Learning Methods, Return On Investment, Statistical Machine Learning, Financial Analysis, Machine Learning Algorithms, Model Evaluation, Machine Learning, Classification Algorithms, Financial Data

    4.8
    Rating, 4.8 out of 5 stars
    ·
    38 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Applied Python: Web Dev, Machine Learning & Cryptography: EDUCBA
  • Data Engineering & Pipeline Reliability for Machine Learning: Coursera
  • Mining Quality Prediction Using Machine & Deep Learning: Coursera
  • Introduction to Machine Learning in Sports Analytics: University of Michigan
  • Analyze Financial Fraud Using Machine Learning Analytics: EDUCBA
  • Predicting Extreme Climate Behavior with Machine Learning : University of Colorado Boulder
  • Advanced Machine Learning with R: Apply & Predict: EDUCBA
  • Microsoft Azure for AI and Machine Learning: Microsoft
  • CNNs with TensorFlow: Basics of Machine Learning: Coursera
  • Machine Learning with PySpark: Customer Churn Analysis: Coursera

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