Machine Learning
Showing 25–36 of 273 results
Build Recommendation Systems using Collaborative Filtering
Explore collaborative filtering to build personalized recommendation systems. Learn how to analyze user-item interactions and leverage algorithms like matrix factorization to suggest content, products, or services in e-commerce and media.
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.
Building Features for Computer Vision in Microsoft Azure
This course will cover how to leverage both an algorithmic as well as a deep learning approach for building features from image data on Microsoft Azure.
Building Machine Learning Models on Databricks
This course will teach you how you can build and train your traditional machine learning models using the Databricks Machine Learning runtime and MLflow to manage the end-to-end machine learning lifecycle.
Building Machine Learning Solutions with TensorFlow.js 2
In this course, you'll learn to use TensorFlow.js to build, train, and deploy machine learning and deep learning models to power client-side and server-side applications using the JavaScript language.
Building Recommendation Engines in Python
Learn to build recommendation engines in Python using machine learning techniques.
Building Recommendation Engines with PySpark
Learn tools and techniques to leverage your own big data to facilitate positive experiences for your users.
Building Regression Models Using TensorFlow 1
TensorFlow is the tool of choice for building deep learning applications. In this course, you'll learn how the neurons in neural networks learn non-linear functions, and how neural networks execute operations such as regression and classification.
Building Response Models in R
Learn to build simple models of market response to increase the effectiveness of your marketing plans.