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    Results for "pytorch (machine learning library)"

    • Status: New
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      Pearson

      Introduction to Transformer Models for NLP: Unit 1

      Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Large Language Modeling, Generative AI, Artificial Neural Networks, Deep Learning

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
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      E

      EDUCBA

      Python: Logistic Regression & Supervised ML

      Skills you'll gain: Feature Engineering, Supervised Learning, Exploratory Data Analysis, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Pandas (Python Package), NumPy, Data Cleansing, Data Manipulation

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      E

      EDUCBA

      Python: Implement & Evaluate Random Forests for ML

      Skills you'll gain: Supervised Learning, Random Forest Algorithm, Applied Machine Learning, Data Processing, Classification And Regression Tree (CART), Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Predictive Modeling, Performance Testing, Data Analysis, Scikit Learn (Machine Learning Library), Python Programming

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
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      P

      Packt

      Foundations of Data Science and Machine Learning with Python

      Skills you'll gain: Predictive Modeling, Matplotlib, Seaborn, Statistical Modeling, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, AI Personalization, Feature Engineering, NumPy

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Probability & Statistics for Machine Learning & Data Science

      Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Exploratory Data Analysis, Statistical Visualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      600 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
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      Packt

      Foundations and Core Concepts of PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Machine Learning, Supervised Learning, Artificial Neural Networks, Artificial Intelligence, Python Programming, Regression Analysis, Software Installation, System Configuration, Development Environment, Performance Tuning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      37 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Applied Machine Learning in Python

      Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Dimensionality Reduction, Random Forest Algorithm, Regression Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8.6K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Keras Deep Learning & Generative Adversarial Networks (GAN)

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Generative AI, Keras (Neural Network Library), NumPy, Data Processing, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Generative Model Architectures, Development Environment, Pandas (Python Package), Image Analysis, Deep Learning, Classification And Regression Tree (CART), Artificial Neural Networks, Artificial Intelligence, Machine Learning, Data Science

      Intermediate · Specialization · 3 - 6 Months

    • Status: Preview
      Preview
      E

      Edge Impulse

      Introduction to Embedded Machine Learning

      Skills you'll gain: Applied Machine Learning, Embedded Systems, Data Processing, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Data Analysis, Feature Engineering, Computer Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      739 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Supervised Machine Learning: Regression and Classification

      Skills you'll gain: Supervised Learning, Applied Machine Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Statistical Modeling, Data Transformation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      30K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Generative AI, LLMs, and Advanced Applications with Python

      Skills you'll gain: Generative AI, LLM Application, Large Language Modeling, Generative Model Architectures, ChatGPT, OpenAI, Generative AI Agents, Prompt Patterns, Applied Machine Learning, Prompt Engineering, Deep Learning, Application Programming Interface (API), Natural Language Processing, Machine Learning Algorithms

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      DevOps, DataOps, MLOps

      Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Containerization, Tensorflow, Web Frameworks, Rust (Programming Language), Microsoft Copilot, DevOps, Cloud Solutions, CI/CD, Machine Learning, Serverless Computing, Docker (Software), GitHub, Command-Line Interface, Big Data

      4.2
      Rating, 4.2 out of 5 stars
      ·
      185 reviews

      Advanced · Course · 1 - 3 Months

    1234…488

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

    • Introduction to Transformer Models for NLP: Unit 1: Pearson
    • Python: Logistic Regression & Supervised ML: EDUCBA
    • Python: Implement & Evaluate Random Forests for ML: EDUCBA
    • Foundations of Data Science and Machine Learning with Python: Packt
    • Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI
    • Foundations and Core Concepts of PyTorch: Packt
    • Applied Machine Learning in Python: University of Michigan
    • Keras Deep Learning & Generative Adversarial Networks (GAN): Packt
    • Introduction to Embedded Machine Learning: Edge Impulse
    • Supervised Machine Learning: Regression and Classification : DeepLearning.AI

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