I was on sabbatical doing nothing, learning deep learning, so we figured: let’s try to come up with a system that takes the stuff from salespeople’s heads, captures the information, and gives visibility and guidance to the rest of the organization.”
MACHINE LEARNING
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Data and Machine Learning as Industry 4.0 Driving Force
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Cracking the #Data #MachineLearning as the driving force #Industry40 #Automation #DigitalTransformation #BigData #AI #DataScience #ML #DigitalTwins #AILabPage #VinsLens @AITimeJournal @esterliquori @FrRonconi @ingliguori @BigDataGal @mclynd @KirkDBorne vinodsblog.com/2016/12/31/cr…
→ View original post on X — @vinod1975, 2023-08-08 14:28 UTC
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Real-Time Deep SORT Tracking with TorchVision Detectors
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🤖Blog-tastic Tuesdays🤖https://t.co/JmdMbNKXIy
— Satya Mallick (@LearnOpenCV) 8 août 2023
Tracking in #ComputerVision is one of the most essential tasks for real-time traffic monitoring. However, experimenting with different object detectors and Re-ID models for tracking can be challenging. We make that easy in our… pic.twitter.com/bYKjREmEkmBlog-tastic Tuesdays https://
learnopencv.com/real-time-deep
-sort-with-torchvision-detectors/
… Tracking in #ComputerVision is one of the most essential tasks for real-time traffic monitoring. However, experimenting with different object detectors and Re-ID models for tracking can be challenging. We make that easy in our -
Building Things: The Key to Learning Deep Learning Fundamentals
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The secret sauce for getting into modern deep learning & AI. For me "building things" has been a powerful motivator with respect to learning how things work under the hood (later).
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Ozan Varol Keynote on AI Innovation at ExploreSAS Conference
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We are bringing some of the brightest minds to #ExploreSAS. Ozan Varol, Rocket Scientist, and author of “Awaken Your Genius” & more, takes the stage to help you reimagine the status quo, unlocking your full potential. http://
2.sas.com/6018PjWiK #RocketScience #ML | Sept. 11-14 -
NN+Gzip Follow-up: Compression Algorithms Comparison Study
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If you liked my NN+Gzip article last week (
https://
magazine.sebastianraschka.com/p/large-langua
ge-models-and-nearest
…), you'll probably love @abhi9u & @alepiad 's follow-up. This one looks at the NN+Gzip method from a compression algo perspective comparing Gzip, Huffman coding, LZ77/LZ4, and Bzip2: https://
codeconfessions.substack.com/p/lz77-is-all-
you-need/
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Little Book of Deep Learning by François Fleuret Released
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Just received my Little Book of Deep Learning, by @FrancoisFleuret
. At only 150 pages, this will be a fun gem to browse through! The little book is also released under a creative commons license: https://
fleuret.org/francois/lbdl.
html
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AI analyzes financial data to predict outcomes and identify patterns
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7) Financial Analysis ◦ AI can be used to analyze financial data and identify patterns and trends that humans may miss. ◦ It can also help businesses predict financial outcomes and make more informed investment decisions.
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Fraud Detection Using AI for Real-Time Prevention and Pattern Analysis
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5) Fraud Detection ◦ AI can help businesses detect fraudulent activity in real-time, protecting both the business and its customers. ◦ It can also analyze patterns of fraudulent behavior to improve future detection and prevention.
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AI analyzes customer interactions to predict conversions and cross-selling
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3) Sales ◦ AI can analyze customer interactions and predict which leads are most likely to convert, improving the efficiency of the sales process. ◦ Sales teams can also use AI-powered tools to identify potential upsell and cross-sell opportunities.