At #SASInnovate 2023 (a complimentary event), you’ll have opportunities to learn, be inspired by, and guide the future of Data #Analytics and #AI. Register now and build your Agenda here: https://
sas.com/gms/redirect.j
sp?detail=PLN2755_1799220624
… by @SASsoftware ———
#DataScience #MachineLearning #ML #SASVisionary
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SAS Innovate 2023: Learn Analytics and AI, Register Now
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MLOps Environment: 30 Requirements Simplified by Abacus AI
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Building #MachineLearning Systems is hard. Here are 30 requirements for an #MLOps environment. @abacusai handles all that for you. You bring the data and the use case. They deliver the #ML environment: https://
abacus.ai/mlops
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#BigData #DataScience #AI #DataScientists #ML -
Introduction to Algorithms Third Edition Book Recommendation
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Introduction to #Algorithms (3rd edition): http://
amzn.to/3LsfrwT (over 1700 five-star reviews)
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#Mathematics #ComputerScience #100DaysOfCode #DataScience #MachineLearning #AI #Statistics #ComputationalScience -
Agent-Based Modelling and GIS: Practical Guide to Geospatial Analytics
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"Agent-Based Modelling and Geographical Information Systems: A Practical Primer (#GeoSpatial Analytics and #GIS)" http://
amzn.to/3b26CK9
by @AndyCrooks & colleagues
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#BigData #DataScience #AI #ComputationalScience #SocialScience -
Quantum Computing and Artificial Intelligence: A Beginner’s Guide
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#QuantumComputing and #ArtificialIntelligence – The Perfect Match? A Brief Overview for Beginners: http://
amzn.to/3k63h44 by @CEO_AISOMA ————
#AI #DataScience #MachineLearning #BigData #DeepLearning #Artificial_Intelligence #ComputationalScience -
Pandas Cookbook: Scientific Computing and Data Analysis with Python
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532-page #coding book by @TedPetrou >> "Pandas Cookbook: Recipes for Scientific Computing, #TimeSeries Analysis and Data Visualization using #Python" at http://
amzn.to/3KOQP1v
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#100DaysOfCode #DataScience #DataScientists #DataViz #MachineLearning #ComputationalScience -
Python Tools for Scientists: Anaconda, JupyterLab, Scientific Libraries Guide
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#Python Tools for Scientists: An Introduction to Using Anaconda, JupyterLab, and Python's Scientific Libraries => Get it at http://
amzn.to/3WrBmZf [700+ page book from @NoStarch Press]
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#Coding #BigData #DataScience #DataScientists #ComputationalScience #MachineLearning #AI -
Practical Data Quality Auditing Guide Using Python Ecosystem
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Practical #DataQuality Auditing — A Comprehensive Guide exploring how to leverage the #Python ecosystem: https://
towardsdatascience.com/data-quality-a
uditing-a-comprehensive-guide-66b7bfe2aa1a
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#BigData #DataStrategy #CDO #Analytics #DataScience #DataScientists #MachineLearning #Coding -
Data Stack Optimization Race for AI Models and Applications
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So once again we have another divisive topic here as there's a new race to recreate the data stack in a way that's optimized for AI as large language and diffusion models enter every aspect of our lives—from enterprise tech to consumer applications.
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Vector Databases in Modern Data Stack: Redis, SingleStore, PGvector
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And of course this is once again in the feature-vs-product debate, like all previous re-inventions that plug into the modern data stack. Redis has a vector DB component, SingleStore is in the space, and there are open source tools like PGvector.