#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
AI
-

Quantum Computing and Artificial Intelligence: A Beginner’s Guide
By
–
-
Pandas Cookbook: Scientific Computing and Data Analysis with Python
By
–
532-page #coding book by @TedPetrou >> "Pandas Cookbook: Recipes for Scientific Computing, #TimeSeries Analysis and Data Visualization using #Python" at http://
amzn.to/3KOQP1v
—————
#100DaysOfCode #DataScience #DataScientists #DataViz #MachineLearning #ComputationalScience -

Python Tools for Scientists: Anaconda, JupyterLab, Scientific Libraries Guide
By
–
#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]
—————
#Coding #BigData #DataScience #DataScientists #ComputationalScience #MachineLearning #AI -

Stanford Student Creates Smart ChatGPT Monocle for Conversations
By
–
A Stanford student has developed a smart monocle with #ChatGPT to help keep the conversation going on dates and job interviews: https://
gagadget.com/en/tehnologii/
241286-a-stanford-student-has-developed-a-smart-monocle-with-chatgpt-to-help-keep-the-conversation-going-on-dates-and-amp/
…
…
Now that’s really attractive! -

Practical Data Quality Auditing Guide Using Python Ecosystem
By
–
Practical #DataQuality Auditing — A Comprehensive Guide exploring how to leverage the #Python ecosystem: https://
towardsdatascience.com/data-quality-a
uditing-a-comprehensive-guide-66b7bfe2aa1a
…
————
#BigData #DataStrategy #CDO #Analytics #DataScience #DataScientists #MachineLearning #Coding -

How To Access ChatGPT-4 For Free Without Plus Subscription
By
–
How To Use #ChatGPT-4 For Free (Without A Plus Subscription): https://
slashgear.com/1272430/how-to
-use-chatgpt-4-for-free-without-plus-subscription/
…
————
#GenerativeAI #AI #GPT4 #GPT3 #NLU #NLG #NLProc #ConversationalAI #MachineLearning #DeepLearning #DataScience #DataScientists -
Pinecone targets double-digit millions ARR by end 2026
By
–
(To clarify, double-digit millions in ARR by the *end of the year* for Pinecone)
-
Data Stack Optimization Race for AI Models and Applications
By
–
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.
-
Vector Databases in Modern Data Stack: Redis, SingleStore, PGvector
By
–
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.
-
Pinecone exceeds $2-3M ARR after $100M funding round
By
–
Earlier this year Pinecone raised $100 million at a $750 million valuation. My understanding was their ARR was in the $2-3m range, but it's already exceeded that since the round was announced. Their target is in the double-digit millions in ARR now.