DataKitchen

MAY 10, 2021

And the worst part – data errors take the fun out of data science. Remember your first data science courses? They cause people to work long hours at the expense of personal and family time. Data errors also affect careers. Data sources must deliver error-free data on time. Data Observability Component of DataOps.

Testing 214

Testing Manufacturing Data Quality Statistics 214

Domino Data Lab

JANUARY 6, 2019

Lately I’ve been developing curriculum for a client for their new “Intro to Data Science” sequence of courses. What are the foundational parts of our field?”. These two are the fastest-growing courses in the history of Berkeley, now reaching 40% of the campus population. Introduction. This is not a new gig, by any stretch.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

O'Reilly on Data

NOVEMBER 28, 2023

A few have even tried out Bard or Claude, or run LLaMA 1 on their laptop. Almost everybody’s played with ChatGPT, Stable Diffusion, GitHub Copilot, or Midjourney. In enterprises, we’ve seen everything from wholesale adoption to policies that severely restrict or even forbid the use of generative AI. What’s the reality?

Enterprise 269

Enterprise Modeling Testing Reporting 269

The Unofficial Google Data Science Blog

MARCH 13, 2017

Typically, causal inference in data science is framed in probabilistic terms, where there is statistical uncertainty in the outcomes as well as model uncertainty about the true causal mechanism connecting inputs and outputs. Can we identify what parts of the input the deep network finds noteworthy?

IT 68

IT Visualization Modeling Uncertainty 68

Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. Introduction. Welcome back to our monthly burst of themespotting and conference summaries. In mid-July I got to attend Sci Foo , held at Google X. Ever heard of it before?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Domino Data Lab

AUGUST 22, 2019

A complementary Domino project is available. Introduction. While the field of computational linguistics, or Natural Language Processing (NLP), has been around for decades, the increased interest in and use of deep learning models has also propelled applications of NLP forward within industry. Chapter Introduction: Natural Language Processing.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

O'Reilly on Data

JANUARY 25, 2021

We’ve explored usage across all publishing partners and learning modes, from live training courses and online events to interactive functionality provided by Katacoda and Jupyter notebooks. But don’t even think of searching for R or C!) But what are “trends”? In either case, there’s a difference between “trends” and “trendy.”

Machine Learning 363

Machine Learning Software Testing Technology 363