MACHINE LEARNING

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Webinar Explores Artificial Intelligence and Future Implications

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@iainljbrown

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19 March 2023 9h49

March 24 Webinar Explores Artificial Intelligence and the Future of … – Emory News Center Read more here: https://
ift.tt/JdpVqRI #ArtificialIntelligence #AI #DataScience #100DaysOfCode #Python #MachineLearning #BigData #DeepLearning #NLP #Robots #IoT

ChatGPT-4: AI That Questions Beyond Answering

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19 March 2023 9h48

What's Chat GPT-4: Everything you should know about AI that not only answers but questions. #ChatGPT4 #OpenAI #AI #NLP #AINews #ArtificialIntelligence #MachineLearning #Tech #Innovation #ML #python #IoT #bot #Coding #100DaysOfCode #Tech https://
bit.ly/3FADAAd

Data Science Roles: Engineer, Analyst, and Professional Pathways

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19 March 2023 9h09

Infographic: DataScientist | Data Engineer | Data Analyst #DataScience #Data #Bigdata #Business #Analytics #Python #javascript #Programming #AI #MachineLearning #CodeNewbie #100DaysOfCode #flutter #Fintech #IoT #TensorFlow #womenintech #CyberSecurity #Cloud

Data Scientist vs Data Analyst: Key Differences Explained

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19 March 2023 9h03

Infographic: Data Scientist vs Data Analyst #DataScience #Data #Bigdata #Business #Analytics #Python #javascript #Programming #AI #MachineLearning #coding #100DaysOfCode #flutter #Fintech #IoT #TensorFlow #womenintech #CyberSecurity #Cloud #NLP

Data Analyst vs Scientist vs Engineer: Key Differences

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19 March 2023 8h55

Infographic: Differences between a Data Analyst, Data Scientist & Data Engineer
#DataAnalytics #DataScience #Data #BigData #Tableau #SQL #Hadoop #Spark #Tech #Java #AI #Analytics #BigData #Cloud #Coding #GitHub #JavaScript #Linux #NodeJS #ReactJS #RStats

→ View original post on X — @goodside

AI Fine-tuning API Prompt Loss Weight Discussion

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@goodside

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19 March 2023 4h53

Exactly — that's all I meant. Like how you can set the prompt loss weight in the fine-tuning API.

→ View original post on X — @fchollet

Notebook with strong validation accuracy but zero leaderboard score

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@fchollet

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19 March 2023 4h39

Here's another notebook, much simpler than the last. Decent statistical power on the validation data (70% val acc vs 56% for the baseline) but scores 0 on the leaderboard The previous notebook managed a non-zero LB score at least (ranked #7 att) https://
kaggle.com/fchollet/per-p
ixel-classification-2-gpus/edit
…