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2:55
Training an Object Classifier in Qupath
An objjectclassifier is trained in Qupath using machine learning to detect DAB+ CD163 staining in human placenta.
2:19
Machine Learning Crash Course: Classification
Classification is a machine learning technique for predicting a class (or category)—for example, a classification model for spam ...
23:24
Fine-Tuning BERT for Text Classification (w/ Example Code)
Your team not maximizing Claude? I run 1:1 and team AI workshops for companies doing $10M+ per year: ...
2:27
Training a Pixel Classifier in Qupath
A pixel classifier is trained in Qupath using machine learning to detect DAB+ CK7 staining in human placenta.
19:58
Machine Learning in Python: Building a Classification Model
In this video, I will show you how to build a simple machine learning model in Python. Particularly, we will be using the scikit-learn ...
4:38
Train an Image Classifier in 3 Minutes
Using Tensor Flow and Docker, this tutorial will show you how to create an image classifier that can accurately identify any object ...
2:20
Why do we split data into train test and validation sets?
To train machine learning models we need to provide the model with a training and testing set. And sometimes even a validation ...
23:49
How to Implement Random Forest For Multi-Class Classification | Scikit Learn Tutorial
In this video I give a step-by-step tutorial on how to use scikit-learn's random forest classification model for multi-class ...
14:53
Document Classification Training in UiPath Document Understanding | Train Classifiers by UiPath RPA
In this video, we'll explore the Training step in UiPath Document Understanding, specifically focusing on training classifiers after ...
1:25:15
Deep Learning with PyTorch: Build, Train and Deploy an Image Classifier | Step-by-Step Tutorial
In this workshop, Alexey Grigorev, creator of the Machine Learning ZoomCamp, walks through how to build an image ...
15:20
How to train AI ML models? Full pipeline in 15 mins.
If you are a beginner in machine learning and AI, you need a proper workflow and a pipeline to train the best models. The steps ...
5:11
22 - Training a cell classifier
Interactively training a cell classifier and choose the features to use.
14:34
Teachable Machine 3: Sound Classifiication
Introducing Teachable Machine 2.0 (from Google Creative Lab)! Train a computer to recognize your own images, sounds, & poses ...
2:15:29
Build an LLM from Scratch 6: Finetuning for Classification
Links to the book: - https://amzn.to/4fqvn0D (Amazon) - https://mng.bz/M96o (Manning) Link to the GitHub repository: ...
12:03
Pixel classification with QuPath
Welcome to the latest episode of "From Zero to QuPath Hero"! In this installment, join me on a journey through the intricacies of ...
1:58
Generative AI Fundamentals: How To Use Probing To Train A Classifier
This video is an excerpt taken from our course, Generative AI Fundamentals: ...
15:54
XGBoost for Multi-Class Classification with Python | Step-by-Step with Hyperparameter Tuning
In this video I show you how to implement an XGBoost classifier for a multiclass classification task. I go over how the XGBoost ...
20:02
Teachable Machine 1: Image Classification
Introducing Teachable Machine 2.0 (from Google Creative Lab)! Train a computer to recognize your own images, sounds, & poses ...
39:45
Advanced Pixel Classification and Segmentation in QuPath
Move from manual drawing to automated discovery. In this FS2K session, we dive into the mechanics of QuPath's Pixel Classifier.
32:29
Training a Cascade Classifier - OpenCV Object Detection in Games #8
In this tutorial, we train an OpenCV Cascade Classifier entirely on Windows to detect objects in a video game in real-time. Making ...
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