Daniel D. Gutierrez @AMULETAnalytics
Data Scientist | Principal AI Industry Analyst & Influencer | Having a blast teaching Data Science at UCLA | Author of 4 data books | Academic at heart! radicaldatascience.ai Los Angeles, CA Joined May 2009-
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Daniel D. Gutierrez retweeted
Stanford’s CS336 "Language Modeling from Scratch" is available for free on YouTube. Instead of wasting time on background, it goes straight into practical topics you rarely see explained elsewhere — PyTorch, MoE, Triton, parallelism, eval, scaling laws, alignment, and more.
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Neo4j Invests $100M in GenAI, Launches New Agentic AI Offerings -- radicaldatascience.wordpress.com/2025/10/03/neo… @neo4j #AI #GenAI #AgenticAI
Salesforce Unveils the Foundation for Building Trusted AI -- radicaldatascience.wordpress.com/2025/10/03/sal… @salesforce #AI #AgenticAI
What’s the first thing you check when your model suddenly drops in performance? (And if your answer is “retrain,” you're already too late.) #SignalOverNoise #DataScience #MachineLearning #AI #RStats
BREAKING TODAY! Pathway Launches a New “Post-Transformer” Architecture That Paves the Way for Autonomous AI -- radicaldatascience.wordpress.com/2025/10/01/pat… #AI #GenAI
When I see a report filled with p-values and no effect sizes, I worry. When I see model metrics and no baseline comparison, I worry. Statistics is more than math. It’s the discipline of contextual honesty. #DataScience #MachineLearning #AI #RStats
THAT'S A WRAP! So much happened in Sept. Check it out ... AI News Briefs BULLETIN BOARD for September 2025 -- radicaldatascience.wordpress.com/2025/10/01/ai-… #AI #LLM #GenAI #DataScience #MachineLearning
I’ve interviewed hundreds of data scientists. The most hireable trait? They don’t just “build models.” They define problems, challenge assumptions, and think statistically. Tools change. That mindset doesn’t. #DataScience #MachineLearning #AI #RStats
BREAKING TODAY! Study: Trust in GenAI surges globally despite gaps in AI safeguards -- radicaldatascience.wordpress.com/2025/09/30/stu… #AI #GenAI #Governance @SASsoftware
If your model works in the lab but fails in production, you don’t have a model—you have a demo. Success isn't accuracy on test data. It's sustained utility under real-world pressure. #DataScience #MachineLearning #AI
HighPoint Unlocks NVIDIA GPU Power: Introduces Industry’s First Hardware Architecture for GPU-Direct NVMe Storage -- radicaldatascience.wordpress.com/2025/09/29/hig… #AI #GPU @nvidia
After 25+ years in the field, I’ve seen trends rise and fall. But the best data scientists still do 3 things well: — Ask the right questions — Validate the assumptions — Communicate with clarity #DataScience #MachineLearning #AI #RStats
BREAKING TODAY! Ardent AI Raises $2.15M to Build the First AI Data Engineer -- radicaldatascience.wordpress.com/2025/09/25/ard… @tryardent #AI #dataengineer
The AI Infra Summit 2025 happened earlier this month! A New Generation of AI Hardware Contenders Is Rising -- radicaldatascience.wordpress.com/2025/09/18/a-n… #AI #Hardware @KisacoRes
Confidence intervals are not optional. If you're making claims without uncertainty estimates, you're storytelling—not science. Model outputs need error bars just like measurements do. #DataScience #MachineLearning #AI #RStats
Genstore, AI-native E-commerce Platform, Announces $10M Seed Round -- radicaldatascience.wordpress.com/2025/09/24/gen… #AI #ecommerce @Genstore_AI
BREAKING TODAY! Hitachi agrees to acquire German data and AI services firm synvert to accelerate Agentic AI and Physical AI development, driving global expansion of HMAX business -- radicaldatascience.wordpress.com/2025/09/23/hit… #AI @Hitachi
NEW UPDATES! Keeping a Pulse on DeepSeek -- radicaldatascience.wordpress.com/2025/06/16/kee… #AI #GenAI #LLM #OpenSource #DeepSeek @deepseek_ai
What’s your personal definition of “done” in a data project? For me: — Model deployed — Results reproducible — Business decision informed Curious how others frame this across roles. #DataScience #MachineLearning #AI #RStats
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