article thumbnail

Recent top-selling books in AI and Machine Learning

Rocket-Powered Data Science

Being Human in the Age of Artificial Intelligence” “An Introduction to Statistical Learning: with Applications in R” (7th printing; 2017 edition). Being Human in the Age of Artificial Intelligence” “An Introduction to Statistical Learning: with Applications in R” (7th printing; 2017 edition).

article thumbnail

Insight Boston Alumni: Where are they now?

Insight

In 2017, we expanded the location to include our Data Science program, and in early 2018, we welcomed our first Data Engineering Fellows. We recently held a night of Lightning Chats, hosted in our Seaport District office, to catch up with our alumni and see what they’ve been up to since participating in Insight.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Themes and Conferences per Pacoid, Episode 9

Domino Data Lab

I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability. Other good related papers include: “ Towards A Rigorous Science of Interpretable Machine Learning ”. 2018-06-21).

article thumbnail

National Grid’s energy transformation is fueled by IT

CIO Business Intelligence

That’s what some people asked of Adriana “Andi” Karaboutis, the former CIO of Dell who left the computer giant and was named National Grid’s global chief information and digital officer in 2017. Optimizing with machine learning. Her answer? She gets to change the world.

IT 100
article thumbnail

5 things to know: IBM Cloud’s mission to accelerate innovation for clients

IBM Big Data Hub

Dizzion, an innovator in the Managed Desktop as a Service (DaaS) industry, hosts its managed desktop offering on IBM Cloud to help enterprises manage their workforce. These capabilities are especially critical for machine learning , artificial intelligence , simulation and other high-performance computing (HPC) workloads.

article thumbnail

Themes and Conferences per Pacoid, Episode 11

Domino Data Lab

Doesn’t this seem like a worthy goal for machine learning—to make the machines learn to work more effectively? For more background about program synthesis, check out “ Program Synthesis Explained ” by James Bornholt from 2015, as well as the more recent “ Program Synthesis in 2017-18 ” by Alex Polozov from 2018.

Metadata 105
article thumbnail

Where Programming, Ops, AI, and the Cloud are Headed in 2021

O'Reilly on Data

We’re not pretending the frameworks themselves are comparable—Spring is primarily for backend and middleware development (though it includes a web framework); React and Angular are for frontend development; and scikit-learn and PyTorch are machine learning libraries. AI, Machine Learning, and Data.