AI & Machine Learning
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145 to 168 of 331 results
Search results 145 - 168 of 331Category: AI & Machine Learning
- 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
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 LABJun Fritz
Leveraging Artificial Intelligence to Analyze Amazon CloudWatch LogsBeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to utilize natural language processing and machine learning to analyze Amazon CloudWatch Logs in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps - COURSEHallam Webber
Setting Up an Azure Machine Learning Development EnvironmentIntermediateDuration: 37 minutes and 21 secondsAuthor: Hallam Webber; Difficulty: Intermediate; Duration: 37 minutes and 21 seconds; Content Topics: Microsoft Azure; This course has: 9 Units - 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
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 - 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 - LEARNING PATHMicrosoft 365 Copilot ChatIntermediateDuration: Up to 40 minutesDifficulty: Intermediate; Description: Learn to use Copilot Chat confidently and responsibly, explore Web and Work modes, and build stronger prompts to research, draft, summarize, and solve problems.; Duration: Up to 40 minutes; This learning path has: 4 Courses
- LEARNING PATHStuart Scott
Mastering Generative AI on AWS: From Infrastructure to ApplicationsAdvancedDuration: Up to 13 hours and 50 minutesAuthor: Stuart Scott; Difficulty: Advanced; Description: Uncover the components and features from the underlying infrastructure to the services that leverage the creation of building generative AI apps on AWS; Duration: Up to 13 hours and 50 minutes; Content Topics: Amazon Web Services; This learning path has: 15 Courses, 7 Hands-on labs - 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 LABAndrew Burchill
Streamlining Amazon SageMaker Governance With Model CardsBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to create a model card to document your Amazon SageMaker machine learning models in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 3 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 - 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 LABAndrew Burchill
Developing An Application on AWS using Generative AIBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use Generative AI to create a new application on AWS in this hands-on lab; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 5 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 - LEARNING PATHIntroducing Language Models and Agentic AIIntermediateDuration: Up to 2 hours and 11 minutesDifficulty: Intermediate; Description: Learn how agentic AI and language models enable agents to plan, reason, use tools, and act safely to automate and personalize real-world tasks.; Duration: Up to 2 hours and 11 minutes; This learning path has: 4 Courses, 1 Hands-on lab
- LEARNING PATHIdentifying AI Value and Prioritizing Use CasesIntermediateDuration: Up to 45 minutesDifficulty: Intermediate; Description: Learn how to assess which AI use cases will deliver measurable value to your business and how to prioritize them.; Duration: Up to 45 minutes; This learning path has: 4 Courses, 1 Exam