Microsoft
Introduction to audio classification with TensorFlow
Learn how to prepare audio data, create spectrograms, and build a TensorFlow keyword classification model.
- Microsoft Learn
- 50 minutes
- Self-paced
- Free course
- Free badge
- Beginner
Free online
Learn Classification Models online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
Microsoft
Learn how to prepare audio data, create spectrograms, and build a TensorFlow keyword classification model.
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. This is the fifth and final course of the Advanced Machine Learning on Google Cloud series.
IBM
This course covers key supervised machine learning (ML) and classification techniques, including logistic regression, decision trees, ensemble methods, and handling unbalanced datasets. Build and evaluate classification models using real-world data.
IBM
Get ready to build the foundational PyTorch skills you need to launch your career as an AI Engineer – the fastest growing job title in the United States. Starting with tensors, this course takes you right through to fully trained classification models. You will master tensor operations, build custo…
freeCodeCamp
Learn how to use TensorFlow 2 and Python for computer vision in this complete course. The course shows you how to create two computer vision projects. The first involves an image classification model with a prepared dataset. The second is a more real-world problem where you will have to clean and p…
Microsoft
Build a strong foundation in artificial intelligence and machine learning. Learn core AI concepts, prepare and visualize data using Python, build regression and classification models, evaluate performance responsibly, and explore cloud-based ML using Azure.
Google Cloud
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will use TensorFlow's distribution strategies and the Vertex AI platform to train and deploy a custom TensorFlow image classification model to classify an image classification dataset.
Alison
This free course covers foundational Python, the language most predominantly used in machine learning (ML). The course will show you how to build a classification model from scratch to make predictions, using a world-famous data set to train the model. You'll create a neural network, capable of cla…
CodeSignal
Delve into token classification in NLP with this focused learning path. This course centers on using spaCy for token classification, from setting up an NLP pipeline to advanced classification model fine-tuning. Upon completion, you'll be adept in utilizing spaCy for token classification in NLP.
Udacity
Learn how to use classification models to predict non-numeric outcomes, such as whether a customer will respond to a marketing campaign, default on a loan, or cancel a subscription.
MathWorks
Starting with zero deep learning knowledge, this foundational course will guide you to effectively train cutting-edge models for image classification purposes. From analyzing medical images to recognizing traffic signs, classification is important for many applications. Classification models also s…
Google Cloud
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you'll learn about how to use convolutional neural networks to improve your image classification models.
Google Cloud
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to build a binary classification model from tabular data using Vertex AI.
Udacity
Employ the abilities of Generative AI with a deep dive into fundamentals. This course examines how various models are developed, how they work, and how to use them to their full potential.