External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Amazon Kendra Getting Started

Coursera · Beginner ·📐 ML Fundamentals ·3mo ago

Key Takeaways

This video teaches the benefits and technical concepts of Amazon Kendra, including its native architecture and built-in features for managing searchable documents using natural language processing and machine learning algorithms.

Original Description

With Amazon Kendra, you can provide employees and customers with an intelligent search service that uses natural language processing and advanced machine learning algorithms to return specific answers to search questions from your data. In this course, you will learn the benefits and technical concepts of Amazon Kendra. You will learn about the native architecture and how the built-in features can help you manage documents that you want to search. If you are new to the service, you will learn how to start with Amazon Kendra through a demonstration using the AWS Management Console.

Watch on External: Coursera ↗ (saves to browser)

Sign in to unlock AI tutor explanation · ⚡30

Related Reads

Why Data Structures Still Matter When You're Doing Machine Learning

Learn why data structures are crucial for machine learning performance and efficiency, beyond just interview prep

Dev.to · Ardhansu Das

Stop Feeding FX Bots Price Data Only: Add a Macro Risk Gate in Python

Learn to add a macro risk gate to your FX bots in Python to avoid trading during high-risk events

Dev.to · Robert Tidball

Human-in-the-Loop: Di Titik Mana Otomatisasi Harus Berhenti

Learn when to limit automation in machine learning systems to avoid risks, and why human-in-the-loop is crucial

Medium · Machine Learning

Three Python Concepts That Completely Changed How I Think About Programming

Discover three Python concepts that transformed the author's programming approach and learn how to apply them to improve your own coding skills

Dropout in Deep Learning