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Results for "pytorch (machine learning library)"
- Status: NewStatus: Preview
Skills you'll gain: Data Ethics, No-Code Development, Data Cleansing, Artificial Intelligence, Data Processing, Business Solutions, Machine Learning, Business Metrics, Data Storytelling, Usability, User Experience Design, Application Design, Generative AI, Business Analytics, Application Deployment, Scalability, Data Validation, Dashboard, Compliance Management, Automation
- Status: Free Trial
Skills you'll gain: PyTorch (Machine Learning Library), Text Mining, Artificial Neural Networks, Natural Language Processing, Deep Learning, Applied Machine Learning, Network Architecture, Time Series Analysis and Forecasting, Machine Learning, Data Processing
- Status: Free Trial
DeepLearning.AI
Skills you'll gain: Image Analysis, Tensorflow, Computer Vision, Keras (Neural Network Library), JSON, Applied Machine Learning, Javascript, Deep Learning, Data Processing, Real Time Data, Web Applications, Machine Learning
- Status: Free Trial
Skills you'll gain: Feature Engineering, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Visualization Software, Data Pipelines, Design Thinking, Unit Testing, Data Science, Machine Learning, Python Programming
Coursera Project Network
Skills you'll gain: Keras (Neural Network Library), Tensorflow, Image Analysis, Artificial Neural Networks, Deep Learning, Machine Learning Methods, Computer Vision, Machine Learning
- Status: Free Trial
University of Michigan
Skills you'll gain: Matplotlib, Network Analysis, Social Network Analysis, Feature Engineering, Data Visualization, Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Pandas (Python Package), Applied Machine Learning, Supervised Learning, Text Mining, Visualization (Computer Graphics), Statistical Visualization, Jupyter, NumPy, Graph Theory, Natural Language Processing, Python Programming, Data Processing
- Status: Free Trial
Skills you'll gain: Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, Application Deployment, IBM Cloud, Machine Learning, Containerization, Data Science, Python Programming, Performance Tuning, Scalability
- Status: NewStatus: Free Trial
Skills you'll gain: Prompt Engineering, Generative AI, Generative Model Architectures, OpenAI, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, AI Personalization, Deep Learning, Feature Engineering, Open Source Technology, Data Processing, Application Deployment, Natural Language Processing, Machine Learning, Data Cleansing, Data Visualization, Database Systems
- Status: Free Trial
University of Alberta
Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution
- Status: NewStatus: Free Trial
Skills you'll gain: Generative AI, Large Language Modeling, Generative Model Architectures, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Natural Language Processing, Text Mining, Deep Learning, Artificial Neural Networks, Unsupervised Learning
- Status: NewStatus: Free Trial
Skills you'll gain: Prompt Engineering, Generative AI, Dimensionality Reduction, Natural Language Processing, Large Language Modeling, OpenAI, Text Mining, Applied Machine Learning, LLM Application, Statistical Machine Learning, Data Processing, Databases, Feature Engineering, Python Programming, Supervised Learning, Artificial Intelligence, Unsupervised Learning, Pandas (Python Package), Data Transformation, NumPy
- Status: NewStatus: Preview
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
In summary, here are 10 of our most popular pytorch (machine learning library) courses
- Foundations of No-Code AI for Real-World Applications:Â LearnQuest
- RNN Architecture and Sentiment Classification:Â Packt
- Browser-based Models with TensorFlow.js:Â DeepLearning.AI
- IBM AI Enterprise Workflow:Â IBM
- Basic Image Classification with TensorFlow:Â Coursera Project Network
- Applied Data Science with Python:Â University of Michigan
- AI Workflow: Enterprise Model Deployment:Â IBM
- Getting Started with Generative AI:Â Edureka
- Prediction and Control with Function Approximation:Â University of Alberta
- Programming Generative AI: Unit 2:Â Pearson