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Anomaly Detection

Evaluating approaches and success across different AI frameworks

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Overview

Use cases

https://www.prescouter.com/2021/05/how-can-ai-be-used-in-anomaly-detection/

https://www.statetechnologiesshop.com/product/applications-of-ai-for-anomaly-detection/

NVIDIA

NeMo, TensorRT-LLM, and Triton Inference Server

Dell PowerEdge XE

NVIDIA’s DGX Cloud

NVIDIA’s DLI (Deep Learning Institute) offers a $500 instructor-led invitation-only class “Applications of AI for Anomaly Detection” (NALA) was $500 in 2022

$149 Thursday, March 21 all day virtual (from Las Vegas) but virtual in 9-5 EMEA CET Time zone) by Kevin McFall, Master Instructor, NVIDIA

The amount of information moving through our world’s telecommunications infrastructure makes it one of the most complex and dynamic systems that humanity has ever built. In this workshop, you’ll implement multiple AI-based solutions to solve an important telecommunications problem–identifying network intrusions.

In this workshop, you’ll:

A. Implement three different anomaly detection techniques:

  • accelerated XGBoost at https://github.com/dmlc/xgboost
  • deep learning-based autoencoders, and
  • generative adversarial networks (GANs)

B. Build and compare supervised learning with unsupervised learning-based solutions.

  • https://github.com/HROlive/Applications-of-AI-for-Anomaly-Detection
  • https://github.com/leeyngdo/anomaly-detection

C. Discuss other use cases within your industry that could benefit from modern computing approaches.

Prerequisite(s): Experience with CNNs and Python.

nvdli@nvidia.com ??? Desktop or laptop computer capable of running the latest version of Chrome or Firefox. Each participant will be provided with dedicated access to a fully configured, GPU-accelerated server in the cloud.

IMPORTANT: After registering for GTC, log onto the Orders page to choose your desired full day workshop(s) and complete the payment process. Seats are limited, so reserve your spot today. Please note these workshops are not recorded and no shows are not eligible for a refund.

Certificate: Upon successful completion of the assessment, participants will receive an NVIDIA certificate to recognize their subject matter competency and support professional career growth.

https://www.openteams.com/courses/applications-of-ai-for-anomaly-detection/

NVIDIA Certifications

NVIDIA Certified Associate – AI in the Data Center

  • Aeshah Hadges, Training Program Manager, NVIDIA
  • Marco Alves, Technical Certification Lead, NVIDIA

Dataiku

https://blog.dataiku.com/do-you-want-to-build-a-machine-learning-model

More

This is one of a series on AI, Machine Learning, Deep Learning, Robotics, and Analytics:

  1. AI Ecosystem
  2. Machine Learning

  3. Testing AI

  4. Microsoft’s AI
  5. Microsoft’s Azure Machine Learning Algorithms
  6. Microsoft’s Azure Machine Learning tutorial

  7. Microsoft’s Azure Machine Learning certification

  8. Python installation

  9. Juypter notebooks processing Python for humans

  10. Image Processing
  11. Tessaract OCR using OpenCV

  12. Amazon Lex text to speech

  13. Code Generation

  14. Multiple Regression calculation and visualization using Excel and Machine Learning
  15. Tableau Data Visualization

Anomaly Detection was published on .