AI & Robotic
Showing 1153–1164 of 1355 results
PyTorch for Classification
Build AI classification models with PyTorch using binary and multi-label techniques.
PyTorch: Tensor, Dataset and Data Augmentation
Master PyTorch's core concepts: tensors, datasets, and data augmentation. Learn to preprocess data and enhance model performance with advanced techniques in this comprehensive course.
Query SQL with LangChain and Granite3 using Natural language
Master SQL querying with LangChain and Granite3 using natural language. Learn how to interact with databases more intuitively and execute SQL queries with ease using AI-driven tools.
R Programming for Beginners Ebook
Learn the essentials of data science by understanding R Programming Languages Today!
RAG with Granite 3: Build a retrieval agent using LlamaIndex
Build a powerful retrieval agent using Granite 3 and LlamaIndex. Learn how to integrate advanced search and retrieval techniques to enhance information discovery in your AI-powered applications.
RaspberryPiFoundation: Teach teens computing: Machine learning and AI
Discover machine learning and how it works, and train your own AI using free online tools.
RaspberryPiFoundation: Teach Teens Computing: Understanding AI for Educators
Discover the world of artificial intelligence (AI) and how it is set to change the ways we teach and learn. Gain valuable experience for discussing and using AI tools with your learners.
Read Text in images and documents with the Azure AI Vision Service
Azure's AI Vision service uses algorithms to process images and return information. This module teaches you how to use the Image Analysis API for optical character recognition (OCR).
Real-world NLP: Case Studies for Data Professionals
You've heard that NLP will disrupt just about everything, but you're not sure what that means for the ways you handle data. This course will teach you how NLP can be successfully adopted for real-world data workflows across multiple industries.
Recognizing Hallucinations, Inaccuracies, and Bias in AI
Demystify AI-generated content challenges - hallucinations, inaccuracies, biases. Develop detection skills and bias correction methods. Explore ethical AI use for transparency.
Recommendation Systems on Google Cloud
In this course, you apply your knowledge of classification models and embeddings to build a ML pipeline that functions as a recommendation engine.
Recurrent Neural Networks (RNNs) for Language Modeling with Keras
Learn how to use RNNs to classify text sentiment, generate sentences, and translate text between languages.