Machine Learning
Showing 13–24 of 233 results
AWS: Introduction to Machine Learning on AWS
This course is intended for software developers and engineers taking their first steps with the AWS services that do much of heavy lifting of Machine Learning for you.
Biomedical Image Analysis in Python
Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.
Build a Machine Learning Model
Learn to build machine learning models with Python.
Build a Machine Learning Pipeline
Learn how to build machine pipelines that automate your workflow and keep everything consistent.
Build a Rating Recommendation Engine with Collaborative Filtering
Recommendation systems pervade a great number of aspects of our daily lives. This course will teach you how to build your very own recommendation system using a technique called collaborative filtering.
Build an Object Detection Model with Python
Object detection can be very useful in mundane tasks. This course will teach you how to build an object detection model from beginning to end for real-life use cases, suitable for using on a daily basis.
Build Chatbots with Python
Build rules-based and generative AI chatbots with Python
Build Deep Learning Models with TensorFlow
Use TensorFlow to build and tune deep learning models.
Build, Train and Deploy ML Models with Keras on Google Cloud
This course covers building ML models with TensorFlow and Keras, improving the accuracy of ML models and writing ML models for scaled use.
Build, Train, and Deploy Machine Learning Models with Amazon SageMaker 1
In this course, you are going to learn the skills you need to build, train, and deploy machine learning models in Amazon SageMaker, including how to create REST APIs to integrate them into your applications for solving real-world problems.
Build, Train, and Deploy Your First Neural Network with TensorFlow 2
In this course, you will learn the basic principles of machine learning and neural networks so you can quickly create, train, and deploy a neural network with TensorFlow.
Building Deep Learning Models on Databricks
In this course, you will learn to train neural network models using TensorFlow and PyTorch, perform distributed training using the Horovod framework, and perform hyperparameter tuning using Hyperopt.