Machine Learning
Showing 265–273 of 273 results
Using Neural Networks for Image and Voice Data Analysis
Neural networks can be configured in various ways depending on the type of data and objectives. This course will help you understand how to properly choose a neural network architecture for image or audio data.
Using PCA to reduce dimensionality
Master Principal Component Analysis (PCA) to reduce dimensionality in high-dimensional datasets. Learn how to transform and visualize data, uncover hidden patterns, and improve the performance of machine learning models.
Vector Search and Embeddings
This course introduces Vertex AI Vector Search and describes how it can be used to build a search application with large language model (LLM) APIs for embeddings. The course consists of conceptual lessons on vector search and text embeddings, practical demos on how to build vector search on Vertex AI, and a hands-on lab.
Vector Space Models and Embeddings in RAGs
Discover the power of Retrieval-Augmented Generation (RAG) in modern NLP applications. This course will teach you how to implement a RAG-based chatbot using Python and TensorFlow, focusing on text embeddings and retrieval techniques.
Video Processing – Subtracting Background with SVD
Explore video processing techniques, focusing on background subtraction using Singular Value Decomposition (SVD). Learn how to apply SVD to analyze video frames, detect motion, and extract meaningful insights from video data.
WageningenX: Big Data for Agri-Food: Principles and Tools
As the big data era unfolds, developments in sensor and information technologies are evolving quickly. As a result, science and businesses are yielding enormous amounts of data. Ideally this data provides valuable insights for decision-making in real time. But processing data the traditional way is no longer possible. Join Wageningen University & Research, #1 university Animal Sciences and Agriculture, and learn how to best handle big data sets. Enrol now.
Why You Fail to Make Good Predictions and What You Can Do About it
In this talk, you'll learn what gets in the way of making good decisions and predictions.
Winning a Kaggle Competition in Python
Learn how to approach and win competitions on Kaggle.
Your First AI Model using Python and Scikit-learn
Take your first steps in AI by building a machine learning model using Python and Scikit-learn. Learn the basics of supervised learning, data preprocessing, model training, and evaluation in this hands-on introductory course.