Resource of free step by step video how to guides to get you started with machine learning.
Friday, February 24, 2023
Real Time Machine Learning with Cloud Dataflow and Vertex AI GSP275
Overview In this lab you implement a real-time, streaming, machine learning (ML) pipeline that uses Cloud Dataflow and Vertex AI. Dataflow is a managed service for executing a wide variety of data processing patterns. Vertex AI is a unified ML platform used to build, deploy, and scale ML models with pre-trained and custom tooling within a unified artificial intelligence platform. The historical dataset this lab uses is from the US Bureau of Transport Statistics website and provides historic information about internal flights in the United States. This lab uses a set of code samples and scripts developed for the Data Science on Google Cloud Platform, 2nd Edition from O'Reilly Media, Inc. Objectives - Configure and execute a real time flight event simulation in Python - Configure and deploy a streaming Google Cloud Dataflow job to provide real-time flight delay predictions #gcp #googlecloud #qwiklabs #learntoearn
Labels:
BigQuery,
cloud computing courses,
clouds,
gcp,
Google Cloud Platform,
google cloud skills boost,
learntoearn,
Machine Learning,
qwiklabs,
Tutorial,
vertex ai
Published by Free artificial intelligence and machine learning video tutorial resource
Related video tutorials
Subscribe to:
Post Comments (Atom)
Most watched
-
Quick answer: Qwen 3 32B needs about 22.7 GB of VRAM at Q4_K_M with a 4k-token context — a used 24 GB card like the RTX 3090 is the minimu...
-
Using GPUs in TensorFlow, TensorBoard in notebooks, finding new datasets, & more! (#AskTensorFlow) [Collection] In a special live ep...
-
Inside TensorFlow: Summaries and TensorBoard [Collection] Take an inside look into the TensorFlow team’s own internal training sessions-...
-
Quick answer: DeepSeek V4 Flash is a Mixture-of-Experts model: all 284 billion parameters must be stored, so combined RAM plus VRAM — not ...
-
Quick answer: For an 8B model at Q4, local electricity costs roughly $0.05 per million output tokens — against about $0.53 per million ble...
-
Hey everyone This is Ujjwal kapil B.tech 2nd year Ai and Ml In this video we covered one of the most important question "COLLEGE KAB O...
-
Quick answer: For machine-learning work, buy an external SSD over a spinning hard drive, pick USB 3.2 Gen 2 (10 Gbps) or faster, and size f...
-
Quick answer: Yes, for most budget builders: a used RTX 3090 is still the cheapest route to 24 GB of VRAM with full CUDA support. Capacity...
-
This video is a crash course on understanding how finetuning on LLM models can be performed uing QLORA,LORA, Quantization using LLama2, Grad...
-
In this video, you'll learn how to use machine learning, computer vision and deep learning to create a football analysis system. This pr...
No comments:
Post a Comment