AI & Machine Learning
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Search results 145 - 168 of 354Category: AI & Machine Learning
- COURSEFarish Kashefinejad
ChatGPT Prompts, Completions, & TokensBeginnerDuration: 4 minutes and 58 secondsAuthor: Farish Kashefinejad; Difficulty: Beginner; Duration: 4 minutes and 58 seconds; Content Topics: Artificial Intelligence; This course has: 1 Unit - COURSEChris Gambino & Joe Niemiec
Building a Solution Using Artificial Intelligence and IOTBeginnerDuration: 1 hour and 1 minuteAuthor: Chris Gambino & Joe Niemiec; Difficulty: Beginner; Duration: 1 hour and 1 minute; Content Topics: Machine Learning; This course has: 4 Units - COURSEAndrea Giussani
Building Machine Learning Pipelines with scikit-learn - Part TwoIntermediateDuration: 1 hour and 9 minutesAuthor: Andrea Giussani; Difficulty: Intermediate; Duration: 1 hour and 9 minutes; Content Topics: Machine Learning; This course has: 6 Units - COURSECalculated Systems
Building Chatbots with Google Dialogflow: Part 1IntermediateAuthor: Calculated Systems; Difficulty: Intermediate; Content Topics: Artificial Intelligence; This course has: 6 Units - COURSEAndrea Giussani
Advanced Pandas for Data AnalyticsAdvancedDuration: 41 minutes and 6 secondsAuthor: Andrea Giussani; Difficulty: Advanced; Duration: 41 minutes and 6 seconds; Content Topics: Development, Analytics; This course has: 5 Units - LEARNING PATHThomas Mitchell
Using Generative AI in Azure and Microsoft Power PlatformBeginnerDuration: Up to 1 hour and 22 minutesAuthor: Thomas Mitchell; Difficulty: Beginner; Description: This course is designed to teach you the basics of Generative AI in Azure and Microsoft Power Platform.; Duration: Up to 1 hour and 22 minutes; Content Topics: Development, Artificial Intelligence; This learning path has: 4 Courses - HANDS-ON LABCalculated Systems
Evaluating Model Predictions for Regression ModelsIntermediateDuration: Up to 43 minutesAuthor: Calculated Systems; Difficulty: Intermediate; Description: This lab walks you through building several multivariate linear regression models using different prediction variables and evaluating the models' predictions.; Duration: Up to 43 minutes; Content Topics: Machine Learning; This hands-on lab has: 4 Lab steps - HANDS-ON LABCalculated Systems
Evaluating Binary Classification ModelsIntermediateDuration: Up to 1 hourAuthor: Calculated Systems; Difficulty: Intermediate; Description: This lab will walk you through building several binary classification models using different model methodologies and then comparing the model predictions using evaluation tools.; Duration: Up to 1 hour; Content Topics: Machine Learning; This hands-on lab has: 4 Lab steps - HANDS-ON LABCalculated Systems
Testing Your Models in the Real WorldBeginnerDuration: Up to 1 hourAuthor: Calculated Systems; Difficulty: Beginner; Description: How do you know that your models will do a good job making predictions on new, unseen data? This lab will discuss the fundamentals.; Duration: Up to 1 hour; This hands-on lab has: 4 Lab steps - HANDS-ON LABCalculated Systems
Performing K-Means Clustering With PythonIntermediateDuration: Up to 1 hourAuthor: Calculated Systems; Difficulty: Intermediate; Description: In this lab, you'll learn how to perform K-Means Clustering on a set of data and plot the outcome.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 2 Lab steps - HANDS-ON LABCalculated Systems
Getting Started with Natural Language ProcessingBeginnerDuration: Up to 1 hourAuthor: Calculated Systems; Difficulty: Beginner; Description: This lab is aimed at machine learning beginners who want to gain a familiarity with Natural Language Processing (NLP) concepts.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps - HANDS-ON LABStefano Cascavilla
Analyze and Retrieve Information from Text Using Google Cloud Natural LanguageIntermediateDuration: Up to 45 minutesAuthor: Stefano Cascavilla; Difficulty: Intermediate; Duration: Up to 45 minutes; Content Topics: Google Cloud Platform; This hands-on lab has: 5 Lab steps - HANDS-ON LABAndrew Burchill
Using Aurora RDS With an Amazon Bedrock Knowledge BaseBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to configure a custom vector store for use with an Amazon Bedrock Knowledge Base in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Security, Artificial Intelligence, Databases; This hands-on lab has: 5 Lab steps - COURSEAlana Layton
Amazon CodeWhisperer: Generating Code with AIBeginnerDuration: 20 minutes and 48 secondsAuthor: Alana Layton; Difficulty: Beginner; Duration: 20 minutes and 48 seconds; Content Topics: Development, Artificial Intelligence; This course has: 5 Units - COURSEAndrea Giussani
PyTorch 101IntermediateDuration: 1 hour and 1 minuteAuthor: Andrea Giussani; Difficulty: Intermediate; Duration: 1 hour and 1 minute; Content Topics: Machine Learning; This course has: 7 Units - COURSEAndrea Giussani
Interactive Data Visualization with Python using BokehIntermediateDuration: 1 hour and 33 minutesAuthor: Andrea Giussani; Difficulty: Intermediate; Duration: 1 hour and 33 minutes; Content Topics: Development; This course has: 7 Units - COURSEAndrea Giussani
Data Visualization with Python using MatplotlibIntermediateDuration: 1 hour and 21 minutesAuthor: Andrea Giussani; Difficulty: Intermediate; Duration: 1 hour and 21 minutes; Content Topics: Data Engineering, Data Transformation; This course has: 8 Units - HANDS-ON LABAndrea Giussani
Introduction to Financial Data Manipulation with PythonBeginnerDuration: Up to 1 hourAuthor: Andrea Giussani; Difficulty: Beginner; Description: The goal of this lab is to consolidate your data management and manipulation skills using Python.; Duration: Up to 1 hour; Content Topics: Development, Analytics; This hands-on lab has: 2 Lab steps - HANDS-ON LABCalculated Systems
Moving From Spreadsheet to DatabaseBeginnerDuration: Up to 1 hour and 20 minutesAuthor: Calculated Systems; Difficulty: Beginner; Description: This lab is aimed at beginners who want to move beyond spreadsheets and migrate their data into a database.; Duration: Up to 1 hour and 20 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps - HANDS-ON LABJun Fritz
Enhancing Generative AI Models With Retrieval-Augmented Generation (RAG)BeginnerDuration: Up to 30 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn the fundamentals of Retrieval-Augmented Generation (RAG) and how to enhance the accuracy of generative AI models in this hands-on lab.; Duration: Up to 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 2 Lab steps - HANDS-ON LABJun Fritz
Streamlining Workflows and Tasks With Amazon Bedrock AgentsBeginnerDuration: Up to 1 hourAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to configure, prepare, and test an Amazon Bedrock agent to perform functional and operational tasks in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 3 Lab steps - HANDS-ON LABAndrew Burchill
Moderating Content with Amazon BedrockBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use Amazon Bedrock to moderate textual content as a part of a content processing system in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps - LAB CHALLENGEThomas Holmes
Using Python to Cleanse and Rationalize Data ChallengeBeginnerDuration: Up to 2 hours and 30 minutesAuthor: Thomas Holmes; Difficulty: Beginner; Description: You will put your basic knowledge of Python to work in this lab challenge in order to perform a simple form of data cleansing on text.; Duration: Up to 2 hours and 30 minutes; Content Topics: Development; This lab challenge has: 2 Lab steps - LEARNING PATHAlibaba Cloud
Alibaba Cloud Machine Learning Platform for AIIntermediateDuration: Up to 6 hours and 36 minutesAuthor: Alibaba Cloud; Difficulty: Intermediate; Description: Learn how to carry out machine learning activities using Alibaba Cloud PAI (Platform for Artificial Intelligence) and its many features and capabilities!; Duration: Up to 6 hours and 36 minutes; Content Topics: Machine Learning; This learning path has: 6 Courses, 6 Exams