AI & Robotic
Showing 949–960 of 1170 results
Pair Programming with Generative AI Case Study
Use generative AI for pair programming by teaming up with an AI system to generate Python code in the driver-navigator style of pair programming
PennX: Robotics: Vision Intelligence and Machine Learning
Learn how to design robot vision systems that avoid collisions, safely work with humans and understand their environment.
Perform Predictive Modeling with MATLAB
In this course, you'll run through everything involved while working on a machine learning problem with MATLAB - from data cleaning to model training, which will elevate your understanding of one of the most popular career choices!
Perform search re-ranking with semantic ranking in Azure AI Search
Learn how to perform L2 ranking with semantic ranker in Azure AI Search.
Performing Experiments in Python
Learn about experimental design, and how to explore your data to ask and answer meaningful questions.
Performing Natural Language Processing with R
Explore natural language processing techniques using R, focusing on text analysis, sentiment analysis, and machine learning applications.
Performing NLP Tasks Using the Cloudmersive API in JavaScript
Get introduced to the Cloudmersive Natural Language Processing (NLP) API.
Performing NLP Tasks Using the Cloudmersive API in Python
Get introduced to Cloudmersive’s Natural Language Processing API.
Plan an Azure AI Document Intelligence solution
Learn how to use Azure AI Document Intelligence to build solutions that analyze forms and output data for storage or further processing.
Play by Play: Machine Learning Exposed
In this course, you’ll explore machine learning topics, such as supervised learning, unsupervised learning, reinforcement learning, and deep learning.
Practical Application of LLMs
This is a beginner-level introduction to large-language models (LLMs). This course will teach you the fundamentals of this powerful technology along with hands-on examples using the OpenAI API.
Practical Deep Learning with Keras and Python
Learn to apply machine learning to your problems. Follow a complete pipeline including pre-processing and training.