Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Machine Learning and Big Data Magic with Node.js and Google Cloud

NDC Conferences via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore machine learning and big data capabilities using Node.js and Google Cloud in this comprehensive conference talk. Discover how to leverage Google's advanced ML technologies, including image recognition, sentiment analysis, and language translation, without building models from scratch. Learn to implement Vision API for detecting landmarks and faces, Natural Language API for entity-based sentiment analysis, and Speech API for transcription. Dive into practical demonstrations, including a customer feedback platform and video intelligence applications. Gain insights into querying terabytes of data from the Node.js community using BigQuery. Follow along with live coding examples and explore the potential of combining Node.js with Google Cloud's powerful ML APIs to enhance your applications.

Syllabus

Intro
What is Machine Learning
Vision API
Vision Detections
Elliott the Dragon
Face Detection
Landmark Detection
Crop Hints
Web Annotation
Cloud Functions
Demo
Natural Language API
Entity Based Sentiment
Customer Feedback Platform
Syntax Analysis Demo
Speech API
Time Offsets
Azar
Socks
Nodejs
BigQuery
Did this work
Command line script
JSON request
Language code
Mic
Sweaty Head
Video Intelligence API
Video Intelligence Demo
Baseball Demo
Video API Demo
Query Emoji
Musical Note Emoji
Demo App Architecture
Label Detection
Recap
BigQuery Table
JavaScript Files
Browser
Tables
Query
JSON on GitHub
Top Express
Full Query
Outro

Taught by

NDC Conferences

Reviews

Start your review of Machine Learning and Big Data Magic with Node.js and Google Cloud

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.