Learn how to build IoT applications by integrating Watson, Swift, and Node-RED. Explore the world of robotics and IoT, and discover how to create smart, connected applications for the future using cutting-edge tools and technologies.

LLMs are revolutionary yet challenging to deploy and manage. This course will teach you to create and customize blueprints for deploying LLMs in a scalable, cost-effective, and secure way that aligns with your enterprise goals.

Generative Artificial Intelligence (AI) has been expanding at a rapid rate with the introduction of ChatGPT among others. In this talk, Aaron Rosenmund and Michael Teske discuss their early experiences using ChatGPT and how it could affect the security landscape.

This course will teach you how to build a system for sentiment classification. You'll learn the internal intricacies of Recurrent Neural Networks and implement a sentiment classifier using an open-source Amazon product review dataset.

Explore techniques and best practices for machine learning with small datasets.

In this course you will learn the basics of machine learning for classification.

In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

Grow your machine learning skills with scikit-learn in Python. Use real-world datasets in this interactive course and learn how to make powerful predictions!

This course will introduce the support vector machine (SVM) using an intuitive, visual approach.

As part of the TensorFlow Developer certification, this course focuses on computer vision. By the end of the course, you will know everything to build computer vision neural networks that can handle complex real-world images using TensorFlow.

In this course, TensorFlow Developer Certificate - TensorFlow Developer Skills , you will learn several items. First, you will learn how to compile and run Python programs in PyCharm. Next, you will discover how to find information about TensorFlow APIs. Then, how to solve error messages fro m the TensorFlow API. Finally, how to save ML models and check the model file size

TensorFlow is a powerful open-source library for machine learning and numerical computation to develop and train deep learning models. This course will teach you how to analyze time series data and accurately forecast future events.