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- COURSECalculated Systems
Working With Data SetsBeginnerDuration: 35 minutes and 14 secondsAuthor: Calculated Systems; Difficulty: Beginner; Description: This lesson focuses on understanding common data formats and interfaces. It explores some common data formats that you'll encounter as a data engineer.; Duration: 35 minutes and 14 seconds; Content Topics: Data Engineering; This course has: 10 Lectures - LEARNING PATHStephen Cole
AWS Machine Learning – Specialty Certification PreparationAdvancedDuration: Up to 68 hours and 17 minutesAuthor: Stephen Cole; Difficulty: Advanced; Description: Become an AWS certified Machine Learning Specialist, choose your training, learn more about your study guide, start your course on Cloud Academy!; Duration: Up to 68 hours and 17 minutes; Content Topics: Identity and Access Management, Machine Learning; This learning path has: 42 Courses, 14 Exams, 15 Hands-on labs - COURSECalculated SystemsIntroduction to Machine Learning - Part OneBeginnerDuration: 28 minutes and 33 secondsAuthor: Calculated Systems; Difficulty: Beginner; Description: This class is designed to be a gentle introduction, which means we'll be starting at the ground up and focusing on giving students the tools and materials they need to navigate the space; Duration: 28 minutes and 33 seconds; Content Topics: Machine Learning; This course has: 5 Lectures
- LEARNING PATHAndrew Larkin
Learn SQL - From Newbie to NinjaBeginnerDuration: Up to 14 hours and 47 minutesAuthor: Andrew Larkin; Difficulty: Beginner; Description: Go from Newbie to Ninja in the structured query language (SQL)!; Duration: Up to 14 hours and 47 minutes; Content Topics: SQL; This learning path has: 4 Courses, 1 Lab challenge, 3 Exams, 3 Hands-on labs - COURSEJeremy Cook
Introduction to Machine Learning ConceptsBeginnerDuration: 48 minutes and 23 secondsAuthor: Jeremy Cook; Difficulty: Beginner; Description: In this lesson, you'll learn about Machine Learning and where it fits within the wider Artificial Intelligence (AI) field.; Duration: 48 minutes and 23 seconds; Content Topics: Machine Learning; This course has: 7 Lectures - COURSEStephen ColeIntroduction to AWS Machine Learning – Specialty Certification PreparationBeginnerDuration: 10 minutes and 18 secondsAuthor: Stephen Cole; Difficulty: Beginner; Description: This lesson introduces the AWS Certified Machine Learning - Specialty course which prepares you to take the certification exam.; Duration: 10 minutes and 18 seconds; Content Topics: Machine Learning; This course has: 1 Lecture
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Search results 1 - 24 of 254Category: Services
- LEARNING PATHStephen ColeAWS Machine Learning – Specialty Certification PreparationAdvancedDuration: Up to 68 hours and 17 minutesAuthor: Stephen Cole; Difficulty: Advanced; Description: Become an AWS certified Machine Learning Specialist, choose your training, learn more about your study guide, start your course on Cloud Academy!; Duration: Up to 68 hours and 17 minutes; Content Topics: Identity and Access Management, Machine Learning; This learning path has: 42 Courses, 14 Exams, 15 Hands-on labs
- LEARNING PATHGuy Hummel
AI-900 Exam Preparation: Microsoft Azure AI FundamentalsBeginnerDuration: Up to 6 hours and 18 minutesAuthor: Guy Hummel; Difficulty: Beginner; Description: This course is designed to help you prepare for the AI-900 Microsoft Azure AI Fundamentals exam.; Duration: Up to 6 hours and 18 minutes; Content Topics: Machine Learning; This learning path has: 7 Courses, 1 Resource, 1 Exam, 2 Hands-on labs - COURSEGuy HummelRunning Spark on Azure DatabricksIntermediateDuration: 21 minutes and 41 secondsAuthor: Guy Hummel; Difficulty: Intermediate; Duration: 21 minutes and 41 seconds; Content Topics: Big Data, Machine Learning; This course has: 6 Lectures
- COURSEFrancesco Mosconi
Introduction to Data and Machine LearningBeginnerDuration: 36 minutes and 43 secondsAuthor: Francesco Mosconi; Difficulty: Beginner; Duration: 36 minutes and 43 seconds; Content Topics: Machine Learning; This course has: 7 Lectures - COURSEJeremy CookIntroduction to Machine Learning ConceptsBeginnerDuration: 48 minutes and 23 secondsAuthor: Jeremy Cook; Difficulty: Beginner; Duration: 48 minutes and 23 seconds; Content Topics: Machine Learning; This course has: 7 Lectures
- COURSECalculated SystemsIntroduction to Machine Learning - Part OneBeginnerDuration: 28 minutes and 33 secondsAuthor: Calculated Systems; Difficulty: Beginner; Duration: 28 minutes and 33 seconds; Content Topics: Machine Learning; This course has: 5 Lectures
- LEARNING PATHAndrew LarkinLearn SQL - From Newbie to NinjaBeginnerDuration: Up to 14 hours and 47 minutesAuthor: Andrew Larkin; Difficulty: Beginner; Description: Go from Newbie to Ninja in the structured query language (SQL)!; Duration: Up to 14 hours and 47 minutes; Content Topics: SQL; This learning path has: 4 Courses, 1 Lab challenge, 3 Exams, 3 Hands-on labs
- LEARNING PATHAndrea Giussani
Machine Learning with PythonIntermediateDuration: Up to 9 hours and 38 minutesAuthor: Andrea Giussani; Difficulty: Intermediate; Description: This course explores a range of techniques for building machine learning pipelines with Python.; Duration: Up to 9 hours and 38 minutes; Content Topics: Machine Learning; This learning path has: 3 Courses, 2 Lab challenges, 2 Exams, 3 Hands-on labs - LEARNING PATHFrancesco MosconiZero to Deep Learning Bootcamp One - Introduction to Data Science and Machine LearningBeginnerDuration: Up to 4 hours and 16 minutesAuthor: Francesco Mosconi; Difficulty: Beginner; Description: Get started with Data Science and Deep Learning; Duration: Up to 4 hours and 16 minutes; Content Topics: Machine Learning; This learning path has: 3 Courses, 1 Exam
- LEARNING PATHDaniel Mease
Machine Learning on Google Cloud PlatformIntermediateDuration: Up to 2 hours and 42 minutesAuthor: Daniel Mease; Difficulty: Intermediate; Description: This course will introduce you to neural networks, TensorFlow, and Google Cloud Machine Learning Engine. Start Course now.; Duration: Up to 2 hours and 42 minutes; Content Topics: Machine Learning; This learning path has: 3 Courses, 1 Exam - LEARNING PATHCalculated SystemsWrestling with DataIntermediateDuration: Up to 6 hours and 32 minutesAuthor: Calculated Systems; Difficulty: Intermediate; Description: Dive into the various tools and techniques available for manipulating information and data sources.; Duration: Up to 6 hours and 32 minutes; Content Topics: SQL; This learning path has: 2 Courses, 1 Exam, 6 Hands-on labs
- LEARNING PATHCalculated SystemsIntroduction to Data VisualizationBeginnerDuration: Up to 2 hours and 17 minutesAuthor: Calculated Systems; Difficulty: Beginner; Description: This course explores data sources and formatting, and how to present data in a way that provides meaningful information.; Duration: Up to 2 hours and 17 minutes; Content Topics: Machine Learning; This learning path has: 2 Courses, 1 Exam, 1 Hands-on lab
- LEARNING PATHGuy HummelAI-102 Exam Preparation: Designing and Implementing a Microsoft Azure AI SolutionIntermediateDuration: Up to 17 hours and 11 minutesAuthor: Guy Hummel; Difficulty: Intermediate; Description: This course is designed to help you prepare for the AI-102 Designing and Implementing a Microsoft Azure AI Solution exam.; Duration: Up to 17 hours and 11 minutes; Content Topics: Web, Machine Learning; This learning path has: 12 Courses, 1 Resource, 2 Exams, 8 Hands-on labs
- LEARNING PATHAndrew LarkinWorking With SQL — Beyond the BasicsIntermediateDuration: Up to 5 hours and 13 minutesAuthor: Andrew Larkin; Difficulty: Intermediate; Description: Practice using SQL to load and manipulate data with this course!; Duration: Up to 5 hours and 13 minutes; Content Topics: SQL; This learning path has: 3 Courses, 1 Lab challenge, 3 Exams, 1 Hands-on lab
- LEARNING PATHGuy HummelGoogle Professional Machine Learning Engineer Exam PreparationIntermediateDuration: Up to 17 hours and 7 minutesAuthor: Guy Hummel; Difficulty: Intermediate; Description: This course is designed to help you prepare for the Google Certified Professional Machine Learning Engineer exam.; Duration: Up to 17 hours and 7 minutes; Content Topics: NoSQL, Big Data, Machine Learning; This learning path has: 10 Courses, 1 Resource, 2 Exams, 3 Hands-on labs
- LEARNING PATHBen Lambert
Building an Application in PythonAdvancedDuration: Up to 5 hours and 11 minutesAuthor: Ben Lambert; Difficulty: Advanced; Description: Learn how to write a Python application that interacts with other services - using real-world unit tests, debugging, deployment, and optimization techniques.; Duration: Up to 5 hours and 11 minutes; Content Topics: Development, DevOps; This learning path has: 2 Courses, 2 Lab challenges, 2 Exams - LEARNING PATHUPDATEDHallam Webber
DP-100 Exam Prep: Designing and Implementing a Data Science Solution on AzureIntermediateDuration: Up to 17 hoursAuthor: Hallam Webber; Type: updated learning path; Difficulty: Intermediate; Description: This course is designed to help you prepare for Microsoft's DP-100 Designing and Implementing a Data Science Solution on Azure exam.; Duration: Up to 17 hours; Content Topics: Machine Learning; This learning path has: 11 Courses, 1 Lab challenge, 1 Resource, 1 Exam, 4 Hands-on labs - LEARNING PATHCalculated SystemsThe Basics of Data Management, Data Manipulation and Data ModellingBeginnerDuration: Up to 12 hours and 2 minutesAuthor: Calculated Systems; Difficulty: Beginner; Description: Learning the basics of how to work with data with data sources, formats, databases, and SQL.; Duration: Up to 12 hours and 2 minutes; Content Topics: SQL; This learning path has: 2 Courses, 1 Exam, 3 Hands-on labs
- LEARNING PATHJeremy CookApplying Machine Learning and AI Services on AWSIntermediateDuration: Up to 6 hours and 41 minutesAuthor: Jeremy Cook; Difficulty: Intermediate; Description: Learn practical applications of AWS machine learning and Artificial Intelligence services using a blend of learning material and hands-on labs.; Duration: Up to 6 hours and 41 minutes; Content Topics: Machine Learning; This learning path has: 5 Courses, 1 Exam, 2 Hands-on labs
- LEARNING PATHCalculated SystemsThe Beginners Guide to Machine Learning and Artificial IntelligenceBeginnerDuration: Up to 3 hours and 10 minutesAuthor: Calculated Systems; Difficulty: Beginner; Description: This course is a gentle introduction and for those who want to gain entry-level experience in machine learning and artificial intelligence.; Duration: Up to 3 hours and 10 minutes; Content Topics: NoSQL, Machine Learning; This learning path has: 2 Courses, 2 Exams, 1 Hands-on lab
- LEARNING PATHJeremy CookIntroduction to Machine Learning on AWSBeginnerDuration: Up to 6 hours and 17 minutesAuthor: Jeremy Cook; Difficulty: Beginner; Description: Learn the tools and practices of Machine Learning on Amazon Web Services with a blend of instructional courses, quizzes, and hands-on labs.; Duration: Up to 6 hours and 17 minutes; Content Topics: Machine Learning; This learning path has: 6 Courses, 2 Hands-on labs
- LEARNING PATHGuy HummelIntroduction to Azure Machine LearningIntermediateDuration: Up to 5 hours and 1 minuteAuthor: Guy Hummel; Difficulty: Intermediate; Description: This course will introduce you to the primary machine learning tools on Azure.; Duration: Up to 5 hours and 1 minute; Content Topics: Big Data, Machine Learning; This learning path has: 1 Course, 2 Hands-on labs
- HANDS-ON LABAndrew Burchill
Working with Special Characters and Anchors in Regular ExpressionsBeginnerDuration: Up to 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: In this hands-on lab, you will work with regular expressions, learning how to use quantifiers, anchors, and capture groups to match patterns in text.; Duration: Up to 30 minutes; Content Topics: Development; This hands-on lab has: 2 Lab steps - HANDS-ON LABLogan Rakai
Forecast Flight Delays with Amazon SageMakerBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Logan Rakai; Difficulty: Beginner; Description: This lab uses Amazon SageMaker to create a machine learning model that forecasts flight delays for US domestic flights.; Duration: Up to 1 hour and 30 minutes; Content Topics: Machine Learning; This hands-on lab has: 7 Lab steps