What is the #InternetOfThings (#IoT)?
by @Telefonica Go to: https://
buff.ly/3prGE9n #AI #BigData #ArtificialIntelligence #Digital #DataScience #5G #DigitalTransformation #Tech cc: @terenceleungsf @ronald_vanloon @yvesmulkers
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What is the Internet of Things IoT Guide by Telefonica
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Things No Data Science Course Will Teach You
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A few things no course will teach you about #DataScience
by Yukio @Medium Read more: https://
buff.ly/3b9wAye #AI #BigData #MachineLearning #ArtificialIntelligence #ML #MI #Analytics #DeepLearning #DL cc: @ronald_vanloon @yvesmulkers @ravikikan -
Data Leakage Risk Undermines AI Model Performance Claims
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Haha. Lol! Translation: all your good results may be due to data leakage. Very gentle indeed.
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Only 12% of Enterprises Using AI Gaining Competitive Edge
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Only 12% of Enterprises Using #AI are Gaining an #Edge
by @CXOtodayAlerts Read more: https://
buff.ly/3PBos8o #BigData #MachineLearning #ArtificialIntelligence #Cloud #ML #MI #Digital #DataScience cc: @terenceleungsf @bigdata @kuriharan -
AI versus Machine Learning: Key Differences and Comparisons
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#ArtificialIntelligence (#AI) vs. #MachineLearning (#ML): Key comparisons
by Shannon Flynn @VentureBeat Go to: https://
buff.ly/3zJIS8G #BigData #MI #Digital #DataScience #DeepLearning #DL cc: @bigdata @patrickgunz_ch @amuellerml -
Remote Work Security: Data Privacy Challenges and Solutions
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#remoteworking and the data privacy challenge https://
digitaljournal.com/business/qa-re
mote-working-and-the-data-privacy-challenge/article
… #remotework #RCE #ZeroTrust #ZeroDay #cybercrime #hacker #privacy #APT #bot #CISO #DDoS #hacking #phishing #CyberAttack #cybersecurity #Security #infosec #AppSec #CyberSec #databreach #Hacked #rt #DataPrivacy -
Language shapes how we think about data
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Changing how you speak about data can change how you think about data https://
youtu.be/2EazCb0m_WQ -
LLaMA Performance Analysis: Data Contamination and Benchmark Concerns
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LLaMA has strong performance and is a great contribution. Some gentle feedback: it would be great to see a data contamination analysis, since most benchmarks evaluated are >2 years old, and BIG-Bench is omitted. So I'm curious if pre-training data contamination played a role.
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Feature Stores: Core Infrastructure for ML Systems and Real-Time Data
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Feature stores are at the core of ML systems. They provide storage, management, and serving of features for models. We have a real-time store. You can merge batch and streaming data pipelines and build features in SQL/Python. Check it out! https://
abacus.ai/featurestore -
Training from Scratch Pricing Table for Language Models
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Here's a screenshot of our training-from-scratch pricing table that is on the webpage posted in the previous thread. We can also train to non-Chinchilla – do you have more information about the dataset?