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73 to 96 of 231 results
Search results 73 - 96 of 231Category: Artificial Intelligence
- COURSEFrancesco Mosconi
Getting Started With Deep Learning: Convolutional Neural NetworksBeginnerDuration: 1 hour and 19 minutesAuthor: Francesco Mosconi; Difficulty: Beginner; Duration: 1 hour and 19 minutes; Content Topics: Machine Learning; This course has: 22 Units - COURSEEmilio Melo
Implementing Image Classification by Using the Azure Custom Vision ServiceIntermediateDuration: 48 minutes and 37 secondsAuthor: Emilio Melo; Difficulty: Intermediate; Duration: 48 minutes and 37 seconds; Content Topics: Microsoft Azure; This course has: 10 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 PATHDanny Jessee
AWS Certified Machine Learning Engineer - Associate (MLA-C01) Certification PreparationIntermediateDuration: Up to 80 hours and 11 minutesAuthor: Danny Jessee; Difficulty: Intermediate; Description: Train to prepare for the AWS Certified Machine Learning Engineer - Associate (MLA-C01) exam; Duration: Up to 80 hours and 11 minutes; Content Topics: Amazon Web Services; This learning path has: 71 Courses, 11 Exams, 16 Hands-on labs - HANDS-ON LABCalculated Systems
Machine Learning - Training Custom ModelsBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Calculated Systems; Difficulty: Beginner; Description: This lab is aimed at machine learning beginners who want to understand how to train custom models.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps - HANDS-ON LABAndrew Burchill
Employing Generative AI for Development With Amazon BedrockBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to effectively make use of a Large Language Model when developing applications using Amazon Bedrock in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 5 Lab steps - HANDS-ON LABAndrea GiussaniMachine Learning with scikit-learnBeginnerDuration: Up to 1 hourAuthor: Andrea Giussani; Difficulty: Beginner; Description: The aim of this lab is to challenge you on building a supervised machine learning pipeline to predict the median values of owner-occupied housing in USD 1000 in the Boston dataset.; Duration: Up to 1 hour; Content Topics: Machine Learning; This hands-on lab has: 2 Lab steps
- COURSEKunal Haria
Advanced Data Structures in RIntermediateDuration: 35 minutes and 30 secondsAuthor: Kunal Haria; Difficulty: Intermediate; Duration: 35 minutes and 30 seconds; Content Topics: Development; This course has: 5 Units - COURSEAndrea GiussaniBuilding Machine Learning Pipelines with scikit-learn - Part OneIntermediateDuration: 53 minutes and 23 secondsAuthor: Andrea Giussani; Difficulty: Intermediate; Duration: 53 minutes and 23 seconds; Content Topics: Machine Learning; This course has: 6 Units
- HANDS-ON LABThomas Holmes
Practical Data Science: Introduction to PythonBeginnerDuration: Up to 2 hoursAuthor: Thomas Holmes; Difficulty: Beginner; Description: This Lab provides you with a Jupyter notebook that introduces you to basic concepts in Python by explaining concepts and letting you write and run Python code.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 2 Lab steps - HANDS-ON LABLogan Rakai
Amazon SageMaker Notebook PlaygroundBeginnerDuration: Up to 2 hoursAuthor: Logan Rakai; Difficulty: Beginner; Description: This playground lab allows you to choose from Amazon's curated library of sample notebooks to learn about what is most important to you.; Duration: Up to 2 hours; Content Topics: Machine Learning; This hands-on lab has: 4 Lab steps - COURSEMichael Burgess
Module 3 - Supervised Learning - Part OneBeginnerDuration: 1 hourAuthor: Michael Burgess; Difficulty: Beginner; Duration: 1 hour; Content Topics: Machine Learning; This course has: 4 Units - COURSEKunal HariaPlotting in RBeginnerDuration: 28 minutes and 34 secondsAuthor: Kunal Haria; Difficulty: Beginner; Duration: 28 minutes and 34 seconds; Content Topics: Machine Learning; This course has: 3 Units
- COURSEKunal HariaImplicit Control Flow in RIntermediateDuration: 30 minutes and 49 secondsAuthor: Kunal Haria; Difficulty: Intermediate; Duration: 30 minutes and 49 seconds; Content Topics: Machine Learning; This course has: 6 Units
- COURSEKunal HariaFunctions in RIntermediateDuration: 26 minutes and 47 secondsAuthor: Kunal Haria; Difficulty: Intermediate; Duration: 26 minutes and 47 seconds; Content Topics: Machine Learning; This course has: 7 Units
- COURSEKunal HariaIntermediate Data Structures in RIntermediateDuration: 39 minutes and 32 secondsAuthor: Kunal Haria; Difficulty: Intermediate; Duration: 39 minutes and 32 seconds; Content Topics: Machine Learning; This course has: 8 Units
- COURSEThomas HolmesPractical Data Science With PythonIntermediateDuration: 57 minutes and 23 secondsAuthor: Thomas Holmes; Difficulty: Intermediate; Duration: 57 minutes and 23 seconds; Content Topics: Development; This course has: 8 Units
- COURSEAndrew Larkin
Get Started with Amazon SageMaker Data Wrangler, Data Pipeline, Feature Store and Ground TruthBeginnerDuration: 32 minutes and 16 secondsAuthor: Andrew Larkin; Difficulty: Beginner; Duration: 32 minutes and 16 seconds; Content Topics: Amazon Web Services; This course has: 6 Units - COURSEThomas HolmesWorking with PandasIntermediateDuration: 57 minutes and 18 secondsAuthor: Thomas Holmes; Difficulty: Intermediate; Duration: 57 minutes and 18 seconds; Content Topics: Machine Learning; This course has: 6 Units
- HANDS-ON LABKunal HariaFundamentals of RBeginnerDuration: Up to 8 hoursAuthor: Kunal Haria; Difficulty: Beginner; Description: This lab includes several modules for you to work through to cement your R fundamentals proficiency.; Duration: Up to 8 hours; This hands-on lab has: 2 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 - COURSEMichael BurgessModule 5 - RegressionBeginnerDuration: 35 minutes and 35 secondsAuthor: Michael Burgess; Difficulty: Beginner; Duration: 35 minutes and 35 seconds; Content Topics: Machine Learning; This course has: 3 Units
- COURSEMichael BurgessModule 4 - Model SelectionBeginnerDuration: 47 minutes and 57 secondsAuthor: Michael Burgess; Difficulty: Beginner; Duration: 47 minutes and 57 seconds; Content Topics: Machine Learning; This course has: 4 Units
- COURSEMichael BurgessModule 2 - Maths for Machine Learning - Part OneBeginnerDuration: 1 hour and 45 minutesAuthor: Michael Burgess; Difficulty: Beginner; Duration: 1 hour and 45 minutes; Content Topics: Machine Learning; This course has: 10 Units