"Everybody Lies: #BigData, New Data, and What the Internet Can Tell Us About Who We Really Are" http://
amzn.to/3yIPgwi
—————
#SEO #Search #SearchAnalytics #Analytics #Adtech #Martech #CX #SocialMedia #SocialAnalytics #CMO #Marketing #CustomerExperience #CRM
TECHNOLOGY
-

Big Data Insights: Internet Behavior and Marketing Analytics
By
–
-

Financial Theory with Python: A Gentle Introduction
By
–
"Financial Theory with #Python: A Gentle Introduction" at http://
amzn.to/3vvnq4D by @dyjh ————
#Finance #Coding #DataScience #DataScientists #Numpy #Pandas #Mathematics #ComputationalFinance #ComputationalScience #Fintech -

Pretraining Vision Models and LLMs on AWS with Python
By
–
Pretrain Vision and #LLMs (Large Language Models) in #Python — Techniques for building & deploying foundation models on #AWS: http://
amzn.to/3pT9seD via @PacktPublishing ————
#AI #MachineLearning #DeepLearning #MLOps #BigData #DataScience #NLProc #ComputerVision #DataScientists -

NVIDIA GPUs Deep Learning: From 2009 to $2T Market Cap
By
–
Deep Learning with NVIDIA GPUs started way back in 2009 — this paper [1] from @AndrewYNg lab in 2009 was the first to introduce the idea. Through the last 15 years of progress with Deep Learning, @nvidia touched a market cap of $2T last week. I have memories of staring at lots
-
Nvidia GPU Investment Entry Point for Local AI
By
–
Such a cool visual! I didn’t get in in 2016 but did at the beginning of 2023. When I started playing with AI locally on my PC and saw that almost everything required Nvidia GPUs, I was in.
-
Nvidia Dominance: Market Position and Technological Challenges
By
–
I mean, there's a lot of "hate 'em 'cause they ain't 'em" going on here. Nvidia is dominant, and in pursuit of that they've been both lucky and very smart, and there's no easy way to change that without changing the tech paradigm. However many trillions you claim to be raising.
-
Nvidia’s CUDA Success Built on Low-Level Programming Expertise
By
–
Also v rich given Nvidia's success is in part attributable to the co's having tons low-level programmers mid-2000s–ppl who understand the mechanisms that are abstracted away for most–and were thus able to focus on creating the CUDA ecosystem ahead of competitors. BUT ANYWAY.
-

Causal AI and Bayesian Networks: Essential Resources
By
–
Causal #AI and Bayesian Networks (680-page PDF eBook): http://
web4.cs.ucl.ac.uk/staff/D.Barber
/textbook/240415.pdf
… See @yudapearl BOOK OF WHY: http://
amzn.to/3dRGjGo
———
#BigData #IoT #DataScience #Statistics #AI #MachineLearning #LinkedData #Causality #NetworkScience #PredictiveAnalytics #PrescriptiveAnalytics -

5 Essential Graph Algorithms for Knowledge Graphs
By
–
5 Graph #Algorithms to know (because #KnowledgeGraphs are the future = “all the world is a graph”): http://
bit.ly/2PEyOa8
+
Great #NetworkScience book: http://
amzn.to/2WiJxff by @barabasi ————
#BigData #LinkedData #DataScience #Semantic #GraphDB #MachineLearning #AI #RAG #LLMs -
MWC24 Barcelona: Major Tech Announcement Coming Soon
By
–
I may not be attending #MWC24 in Barcelona, but I will be watching virtually for a particular amazing announcement, which I will have the honor of describing and posting here on @X and also on my LinkedIn feed. Watch for it