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Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Statistical Machine Learning, Data Storage, Machine Learning Algorithms, Machine Learning, Distributed Computing, Data Processing, Data Transformation, Statistical Analysis
MathWorks
Skills you'll gain: Computer Vision, Image Analysis, Anomaly Detection, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Matlab, Application Deployment, PyTorch (Machine Learning Library), Machine Learning, Supervised Learning, Data Visualization, Automation, Artificial Intelligence and Machine Learning (AI/ML), Data Cleansing, Spatial Data Analysis, Machine Learning Methods, Visualization (Computer Graphics), Data Synthesis, Geospatial Information and Technology
Microsoft
Skills you'll gain: Generative AI, Anomaly Detection, Data Ethics, Data Quality, Data Pipelines, Data Cleansing, Data Synthesis, Data Validation, Data Transformation, Information Privacy, Artificial Intelligence, Unsupervised Learning, Natural Language Processing, Artificial Neural Networks, Data Science, Microsoft Development Tools, Data Security, Data Analysis, Applied Machine Learning, Automation
Duke University
Skills you'll gain: Databricks, Generative AI, Performance Analysis, Apache Airflow, Workflow Management, Data Lakes, Extract, Transform, Load, OpenAI, AWS SageMaker, Scalability, Data Transformation, Data Infrastructure, Database Management, Microsoft Azure, MLOps (Machine Learning Operations), Amazon Web Services, Natural Language Processing, PyTorch (Machine Learning Library), Risk Management Framework, Artificial Intelligence
Skills you'll gain: PyTorch (Machine Learning Library), Computer Vision, Image Analysis, Matplotlib, Python Programming, Deep Learning, Pandas (Python Package), NumPy, Data Manipulation, Artificial Neural Networks
DeepLearning.AI
Skills you'll gain: Natural Language Processing, Keras (Neural Network Library), Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Text Mining, Machine Learning
Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Classification And Regression Tree (CART), Jupyter, Regression Analysis, Statistical Programming, Statistical Analysis, Statistical Machine Learning, Probability Distribution, Data Science, Markov Model, Simulations, Data Visualization, Probability & Statistics, Development Environment, Statistical Inference, Algorithms
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Predictive Modeling, Network Model, Probability & Statistics, Network Analysis, Statistical Inference, Statistical Machine Learning, Sampling (Statistics), Natural Language Processing, Statistical Methods, Algorithms
Skills you'll gain: Feature Engineering, Data Transformation, Data Processing, Data Cleansing, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning, Scikit Learn (Machine Learning Library), Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms
Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Data Lakes, Scikit Learn (Machine Learning Library), Applied Machine Learning, Deep Learning, Data Transformation, Machine Learning, Distributed Computing, Exploratory Data Analysis
Coursera Project Network
Skills you'll gain: Anomaly Detection, Jupyter, Exploratory Data Analysis, Application Deployment, Unsupervised Learning, Data Visualization, Applied Machine Learning, Machine Learning, Machine Learning Software, Machine Learning Algorithms
DeepLearning.AI
Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Artificial Intelligence, Applied Machine Learning, Scalability, Natural Language Processing, Machine Learning Methods, Application Deployment, Reinforcement Learning, User Feedback, Performance Tuning, Application Performance Management
In summary, here are 10 of our most popular pytorch courses
- Scalable Machine Learning on Big Data using Apache Spark: IBM
- MathWorks Computer Vision Engineer: MathWorks
- Microsoft Copilot for Data Science: Microsoft
- Large Language Model Operations (LLMOps): Duke University
- Deep Learning - Computer Vision for Beginners Using PyTorch: Packt
- Natural Language Processing with Sequence Models: DeepLearning.AI
- Introduction to Computational Statistics for Data Scientists: Databricks
- Probabilistic Graphical Models: Stanford University
- Machine Learning Rapid Prototyping with IBM Watson Studio: IBM
- Perform data science with Azure Databricks: Microsoft