AI & Machine Learning
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Search results 73 - 96 of 297Category: AI & Machine Learning
- COURSEKunal Haria
Plotting 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 Holmes
Practical 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 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 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
- COURSEMichael BurgessModule 0 - What is Machine Learning? - Part OneBeginnerDuration: 1 hour and 23 minutesAuthor: Michael Burgess; Difficulty: Beginner; Duration: 1 hour and 23 minutes; Content Topics: Machine Learning; This course has: 13 Lectures
- 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 Lectures
- 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 Lectures
- 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 Lectures
- 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 Lectures
- 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: Machine Learning; This course has: 6 Lectures - COURSEThomas HolmesPython Visualization ToolsAdvancedDuration: 49 minutes and 3 secondsAuthor: Thomas Holmes; Difficulty: Advanced; Duration: 49 minutes and 3 seconds; Content Topics: Data Engineering; This course has: 5 Lectures
- LEARNING PATHOnsite Search EssentialsBeginnerDuration: Up to 45 minutesDifficulty: Beginner; Description: An overview of how and why search algorithms prioritize organic product listings, and how to encourage effective data sharing with retail partners.; Duration: Up to 45 minutes; This learning path has: 3 Courses, 2 Exams
- 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 Lectures
- 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 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 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 Lectures
- 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 Lectures
- 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 Lectures
- 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 PATHFrancesco MosconiZero to Deep Learning Bootcamp Two - Getting Started With Deep LearningIntermediateDuration: Up to 3 hours and 28 minutesAuthor: Francesco Mosconi; Difficulty: Intermediate; Description: This Course gives an informative introduction to deep learning and introducing neural networks.; Duration: Up to 3 hours and 28 minutes; Content Topics: Machine Learning; This learning path has: 2 Courses, 1 Exam
- LEARNING PATHAndrew Burchill
Solving 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