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Results for "pytorch (machine learning library)"
- Status: NewStatus: Free Trial
Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Microsoft Copilot, Scripting, Python Programming, Application Development, Web Applications, Jupyter, Web Development, Data Analysis, Pandas (Python Package), Test Driven Development (TDD), Debugging
- Status: Free Trial
Imperial College London
Skills you'll gain: Tensorflow, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Deep Learning, Image Analysis, Computer Programming, Program Development, Data Validation, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Data Processing, Predictive Modeling, Computer Vision, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Unsupervised Learning
- Status: Preview
Duke University
Skills you'll gain: PyTorch (Machine Learning Library), Machine Learning Methods, Reinforcement Learning, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging
- Status: NewStatus: Free Trial
Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Large Language Modeling, Generative AI, Artificial Neural Networks, Deep Learning
- Status: Free Trial
Skills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Generative AI, Natural Language Processing, Data Ethics, Text Mining, Artificial Neural Networks, Deep Learning, Feature Engineering, Statistical Methods
- Status: Free Trial
University of Michigan
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
- Status: Free Trial
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
- Status: Free Trial
DeepLearning.AI
Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Jupyter, Data Manipulation, Data Science, Applied Mathematics, Machine Learning, Python Programming, Image Analysis
- Status: Free Trial
DeepLearning.AI
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
- Status: Free Trial
Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Feature Engineering, Data Processing, Extract, Transform, Load, Predictive Modeling, Data Transformation, Regression Analysis
- Status: NewStatus: Free Trial
Skills you'll gain: Data Science, Unsupervised Learning, Data Analysis, Machine Learning Algorithms, Predictive Modeling, Probability & Statistics, Applied Machine Learning, Exploratory Data Analysis, Classification And Regression Tree (CART), Python Programming, Random Forest Algorithm, Dimensionality Reduction, Regression Analysis, NumPy, Statistical Analysis, Data Processing, Pandas (Python Package), Deep Learning, Data Visualization, Data Manipulation
- Status: Free Trial
Skills you'll gain: Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Natural Language Processing, Text Mining, Applied Machine Learning
In summary, here are 10 of our most popular pytorch (machine learning library) courses
- Generative AI for Developers: Unit 2:Â Pearson
- TensorFlow 2 for Deep Learning:Â Imperial College London
- Introduction to Machine Learning:Â Duke University
- Introduction to Transformer Models for NLP: Unit 1:Â Pearson
- Gen AI Foundational Models for NLP & Language Understanding:Â IBM
- Applied Machine Learning in Python:Â University of Michigan
- Foundations and Core Concepts of PyTorch:Â Packt
- Linear Algebra for Machine Learning and Data Science:Â DeepLearning.AI
- Probability & Statistics for Machine Learning & Data Science:Â DeepLearning.AI
- Machine Learning with Apache Spark:Â IBM