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49 to 72 of 255 results
Search results 49 - 72 of 255Category: Services
- HANDS-ON LABAndrew Burchill
Using Regular Expressions Effectively in the Real WorldBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Regular expressions are a powerful tool for searching and manipulating text. In this hands-on lab you will learn how to use them effectively in real-world scenarios.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 2 Lab steps - HANDS-ON LABAndrew BurchillConstructing Regular Expression Character ClassesBeginnerDuration: Up to 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: In this hands-on lab, you will learn about the character classes and quantifiers elements of Regular Expressions, and use them to match patterns in text.; Duration: Up to 30 minutes; Content Topics: Development; This hands-on lab has: 2 Lab steps
- HANDS-ON LABMatt MartinezUsing Text Analytics in the Azure AI Services APIBeginnerDuration: Up to 1 hourAuthor: Matt Martinez; Difficulty: Beginner; Description: Use the AI Services API in the Azure AI suite to perform text analytics operations by requesting the API services via an Azure Function App.; Duration: Up to 1 hour; Content Topics: Machine Learning; This hands-on lab has: 5 Lab steps
- HANDS-ON LABLogan Rakai
Using SageMaker Notebooks to Train and Deploy Machine Learning ModelsIntermediateDuration: Up to 1 hourAuthor: Logan Rakai; Difficulty: Intermediate; Description: In this lab, you'll use a SageMaker notebook to learn how to write Python code to prepare data, train and deploy models, and use them for real-time inference.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps - HANDS-ON LABLogan RakaiTensorFlow Machine Learning on the Amazon Deep Learning AMIIntermediateDuration: Up to 1 hour and 40 minutesAuthor: Logan Rakai; Difficulty: Intermediate; Description: Develop, visualize, serve, and consume a TensorFlow machine learning model using the Amazon Deep Learning AMI in this Lab.; Duration: Up to 1 hour and 40 minutes; Content Topics: Machine Learning; This hands-on lab has: 9 Lab steps
- HANDS-ON LABLogan RakaiUsing an MXNet Neural Network to Style ImagesIntermediateDuration: Up to 1 hour and 10 minutesAuthor: Logan Rakai; Difficulty: Intermediate; Description: Join this Lab and gain experience using an MXNet convolutional neural network to style images and monitor the GPU used for training in Amazon CloudWatch.; Duration: Up to 1 hour and 10 minutes; Content Topics: Machine Learning; This hands-on lab has: 7 Lab steps
- HANDS-ON LABLogan RakaiAnalyzing CPU vs GPU Performance for AWS Machine LearningBeginnerDuration: Up to 45 minutesAuthor: Logan Rakai; Difficulty: Beginner; Description: Take control of a p2.xlarge instance equipped with an NVIDIA Tesla K80 GPU to perform CPU vs GPU performance analysis for AWS Machine Learning in this Lab.; Duration: Up to 45 minutes; Content Topics: Machine Learning; This hands-on lab has: 8 Lab steps
- COURSEKunal Haria
Operators in RIntermediateDuration: 24 minutes and 31 secondsAuthor: Kunal Haria; Difficulty: Intermediate; Duration: 24 minutes and 31 seconds; Content Topics: Machine Learning; This course has: 4 Lectures - COURSEKunal HariaBeginner Data Structures in RIntermediateDuration: 37 minutes and 39 secondsAuthor: Kunal Haria; Difficulty: Intermediate; Duration: 37 minutes and 39 seconds; Content Topics: Machine Learning; This course has: 9 Lectures
- COURSEKunal HariaInteracting with RIntermediateDuration: 20 minutes and 52 secondsAuthor: Kunal Haria; Difficulty: Intermediate; Duration: 20 minutes and 52 seconds; Content Topics: Development; This course has: 7 Lectures
- COURSEFrancesco Mosconi
Getting Started With Deep Learning: Recurrent Neural NetworksBeginnerDuration: 45 minutes and 15 secondsAuthor: Francesco Mosconi; Difficulty: Beginner; Duration: 45 minutes and 15 seconds; Content Topics: Machine Learning; This course has: 12 Lectures - COURSEFrancesco MosconiGetting Started with Deep Learning: Introduction To Machine LearningBeginnerDuration: 2 hours and 4 minutesAuthor: Francesco Mosconi; Difficulty: Beginner; Duration: 2 hours and 4 minutes; Content Topics: Machine Learning; This course has: 22 Lectures
- COURSEAndrea Giussani
Building 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 Lectures - COURSEBen Lambert
Building a Python Application: Lesson OneAdvancedDuration: 1 hour and 57 minutesAuthor: Ben Lambert; Difficulty: Advanced; Duration: 1 hour and 57 minutes; Content Topics: Data Engineering, Data Transformation; This course has: 12 Lectures - COURSEThomas Holmes
Working 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 Lectures - HANDS-ON LABCalculated Systems
Machine Learning - Training Custom ModelsBeginnerDuration: Up to 3 hoursAuthor: 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 3 hours; Content Topics: Machine Learning; This hands-on lab has: 3 Lab steps - HANDS-ON LABThomas HolmesPractical 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
- 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 Lectures
- COURSEKunal HariaAdvanced 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 Lectures
- COURSEThomas HolmesPractical Data Science With PythonIntermediateDuration: 57 minutes and 22 secondsAuthor: Thomas Holmes; Difficulty: Intermediate; Duration: 57 minutes and 22 seconds; Content Topics: Development; This course has: 8 Lectures
- HANDS-ON LABLogan RakaiAmazon 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 Lectures - 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 Lectures
- COURSEMichael BurgessModule 1 – Python for Machine LearningBeginnerDuration: 52 minutes and 2 secondsAuthor: Michael Burgess; Difficulty: Beginner; Duration: 52 minutes and 2 seconds; Content Topics: Machine Learning; This course has: 4 Lectures
