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Search results 73 - 96 of 225Category: Artificial Intelligence
- 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 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 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 - 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 - 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
- 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
- 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 Units
- COURSEThomas HolmesWorking with PythonAdvancedDuration: 49 minutes and 22 secondsAuthor: Thomas Holmes; Difficulty: Advanced; Duration: 49 minutes and 22 seconds; Content Topics: Development; This course has: 5 Units
- COURSEMichael BurgessModule 2 - Maths for Machine Learning - Part TwoBeginnerDuration: 1 hour and 32 minutesAuthor: Michael Burgess; Difficulty: Beginner; Duration: 1 hour and 32 minutes; Content Topics: Machine Learning; This course has: 8 Units
- COURSEMichael BurgessModule 0 - What is Machine Learning? - Part TwoBeginnerDuration: 1 hour and 30 minutesAuthor: Michael Burgess; Difficulty: Beginner; Duration: 1 hour and 30 minutes; Content Topics: Machine Learning; This course has: 7 Units
- COURSEMichael BurgessModule 3 - Supervised Learning - Part TwoBeginnerDuration: 1 hour and 52 minutesAuthor: Michael Burgess; Difficulty: Beginner; Duration: 1 hour and 52 minutes; Content Topics: Machine Learning; This course has: 10 Units
- LEARNING PATHFrancesco Mosconi
Zero to Deep Learning Bootcamp Three - Working with Convolutional and Recurrent Neural NetworksAdvancedDuration: Up to 3 hours and 36 minutesAuthor: Francesco Mosconi; Difficulty: Advanced; Description: This Course is the third and final of three Courses in the Zero to Deep Learning Bootcamp Cloud Academy has developed in collaboration with Deep L; Duration: Up to 3 hours and 36 minutes; Content Topics: Machine Learning; This learning path has: 3 Courses, 1 Exam - LEARNING PATHAndrew BurchillSolving Real World Problems with Regular Expressions in PythonBeginnerDuration: Up to 2 hours and 50 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: This course is made up entirely of hands-on labs to help you master regular expressions in Python!; Duration: Up to 2 hours and 50 minutes; Content Topics: Development; This learning path has: 1 Lab challenge, 3 Hands-on labs