A jack of all trades is a master of none. As data science matures, full-stack data scientists are becoming outdated. The only way to scale #datascience is by supporting a wide range of data scientists. Learn more from Kjell Carlsson in @ITProToday
: https://
domino.buzz/3JD03iI
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Full-Stack Data Scientists Becoming Outdated as Field Matures
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Critical Questions and Strategies for ML Dataset Lifecycle Management
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The guide offers questions, suggestions, strategies, and resources while working with ML datasets at every phase of their lifecycle, and shows the benefits of working critically with them. It gives you the questions that we've found helpful in our work with large ML datasets.
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Critical Field Guide for Working With Machine Learning Datasets Released
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NEW: Today we release a 'Critical Field Guide for Working With Machine Learning Datasets' by @SarahCiston
. It's a practical guide to navigating datasets. If you're an engineer, designer, journalist artist, or a student who uses datasets, it's here for you. -
Field Guide to Critical Dataset Navigation and Classification
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The field guide aims to help you navigate the complexities of datasets, and explore the implications of what you choose, build, and design. It invites you to mess with these messy forms and to approach any logic of classification with a critical eye.
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Polygon Annotation with CVAT: Quick 3-Minute Guide
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🚀Polygon annotation using CVAT in 3 minutes!
— Satya Mallick (@LearnOpenCV) 6 février 2023
In this video, we export the dataset as segmentation mask images or in Cocoa Jason format.https://t.co/mYYWt65YhI #cvat #polygonannotation #annotation #dataset #cocoajasonformat #ai #computervision #deeplearning #machinelearning pic.twitter.com/usGeZFcpcTPolygon annotation using CVAT in 3 minutes!
In this video, we export the dataset as segmentation mask images or in Cocoa Jason format. https://
youtube.com/watch?v=YL0l2M
YUFC0
… #cvat #polygonannotation #annotation #dataset #cocoajasonformat #ai #computervision #deeplearning #machinelearning -

Upload Datasets for AI Search in Chohere Playground
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Step-2: Upload the dataset which you want to make searchable either in CSV form or upload it directly via Chohere's Playground UI.
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Cohere AI Embeddings: Convert Text to Numerical Representations
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Interested in building AI-powered search but don't know where to start? Introducing Embeddings by Cohere AI Embeddings are a way to represent the meaning of text in a numerical form. Cohere's model can convert texts to embeddings out-of-the-box. https://
dashboard.cohere.ai/welcome/regist
er?utm_source=influencer&utm_medium=social&utm_campaign=shubham
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Chat with your documents: Filechat.io offers unlimited AI interaction with PDFs
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Use ChatGPT on your own data (without limits)https://t.co/g8gwEboOZ9
— AI Breakfast (@AiBreakfast) 6 février 2023
Upload a PDF (any size), have a conversational dialogue with your documents:
-Research Papers
-Books
-Newspapers
-Legal Docs
Pulls citations + unlimited use plan available
Semantic search is the future ↓ pic.twitter.com/VDXJe9ZpnlUse ChatGPT on your own data (without limits) http://
Filechat.io Upload a PDF (any size), have a conversational dialogue with your documents: -Research Papers
-Books
-Newspapers
-Legal Docs Pulls citations + unlimited use plan available Semantic search is the future ↓ -
Statistics for Data Science: Important Concepts and Practical Use Cases Playlist
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4. Sumanth P I have created an entire playlist of important concepts of statistics for Data Science with practical use cases Check this: http://
youtube.com/playlist?list=
PLfAC1GPuK4j_VCcZGof9s7M4x5wWtJR4y
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Khan Academy: Best Channel for Learning Statistics in Data Science
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1. Khan Academy Arguably the best channel to learn Statistics for Data Science Check this: http://
youtube.com/playlist?list=
PL1328115D3D8A2566
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