Business Over Broadway

DECEMBER 20, 2018

All of my top blog posts of 2018 (most reads) are all related to data science, with posts that address the practice of data science, artificial intelligence and machine learning tools and methods that are commonly used and even a post on the problems with the Net Promoter Score claims.

Machine Learning

datapine

NOVEMBER 19, 2019

An important part of artificial intelligence comprises machine learning, and more specifically deep learning – that trend promises more powerful and fast machine learning. Likewise, 2018 was the year of virtual assistants: Alexa, Cortana, all of them have taken the consumers’ market by storm.

Technology

datapine

AUGUST 14, 2019

Data science tools are used for drilling down into complex data by extracting, processing, and analyzing structured or unstructured data to effectively generate useful information while combining computer science, statistics, predictive analytics, and deep learning. Let’s get started.

Data Science

Domino Data Lab

JULY 2, 2019

AutoPandas was created at UC Berkeley RISElab and the general idea is described in the NeurIPS 2018 paper “ Neural Inference of API Functions from Input–Output Examples ” by Rohan Bavishi, Caroline Lemieux, Neel Kant, Roy Fox, Koushik Sen, and Ion Stoica. Program Synthesis Papers at ICLR 2018 ” – Illia Polosukhin (2018-05-01).

Metadata

CIO Business Intelligence

DECEMBER 1, 2023

We did a major pivot because this was a game changer in terms of its interactive abilities, as well as the comprehensiveness of its answers and its data generation capabilities. But perhaps the biggest benefit has been LexisNexis’ ability to swiftly embrace machine learning and LLMs in its own generative AI applications.

Cost-Benefit

CIO Business Intelligence

JULY 22, 2025

This wasn’t about teaching deep learning, but about maintaining infrastructure that doesn’t break when an AI tool plugs in.” You need people who understand both the physical layer and how AI workloads interact with that stack.” Traditional infrastructure roles are no longer enough,” he says.

Machine Learning

Domino Data Lab

SEPTEMBER 9, 2019

Here’s an interactive visualization for understanding texts: scattertext , a product of the genius of Jason Kessler. Once you have the corpus ready, generate an interactive visualization in HTML: In [23]: html = st.produce_scattertext_explorer(?. deep learning on edge devices. get_data(). ?corpus

Deep Learning

CIO Business Intelligence

AUGUST 21, 2024

When multiple independent but interactive agents are combined, each capable of perceiving the environment and taking actions, you get a multiagent system. Indicium has also built custom connectors for popular messaging platforms, so the agents can better interact with users. And, yes, enterprises are already deploying them.

Risk

CIO Business Intelligence

JUNE 15, 2022

Pionnier de l’apprentissage profond – qui consiste à simuler le fonctionnement du cerveau en construisant des réseaux de neurones artificiels – ce professeur de l’Université de Montréal décrochait en 2018 le prix Turing, le « Nobel de l’informatique ». Artificial Intelligence, Deep Learning

Finance

CIO Business Intelligence

MAY 30, 2024

Most recently, she has served as EVP and chief customer and technology officer at Ameren, which she joined 2018 as SVP and chief digital and information officer before adding customer experience and operations in 2023. It has been around since the 1950s with machine learning. An example could be summarizing after-call work.

Data Quality

Domino Data Lab

APRIL 3, 2019

Plus it’s well-nigh time for “machine learning natives” to jump into the dialog about DG. So this month let’s explore these themes: 2018 represented a flashpoint for DG fails, prompting headlines worldwide and resulting in much-renewed interest in the field. More Policies Emerged” (2010-2018). We keep feeding the monster data.

Machine Learning

Cloudera

SEPTEMBER 12, 2018

And now, without further delay, we are excited to announce the winners of the 2018 Data Impact Awards, listed by award theme and category: Business Impact. The bank coordinates all interactions via its branch network and Australian-based contact centers and presents it back through digital channels, ATMs, email and direct mail.

Machine Learning

Insight

MARCH 28, 2019

For the Fall 2018 session of the Insight Fellows Program in NYC, we launched a new partnership with Thinknum , a company that provides alternative data indexed from the web to institutional investors and corporations? After his time at Insight, John was hired by Deep Macro as a data scientist. John Phillips holds a Ph.D.

Dashboards

O'Reilly on Data

MARCH 19, 2020

Our analysis of ML- and AI-related data from the O’Reilly online learning platform indicates: Unsupervised learning surged in 2019, with usage up by 172%. Deep learning cooled slightly in 2019, slipping 10% relative to 2018, but deep learning still accounted for 22% of all AI/ML usage.

Deep Learning

Domino Data Lab

JULY 22, 2019

By virtue of that, if you take those log files of customers interactions, you aggregate them, then you take that aggregated data, run machine learning models on them, you can produce data products that you feed back into your web apps, and then you get this kind of effect in business. You can take TensorFlow.js

Data Science

Domino Data Lab

MAY 8, 2019

2018-06-21). For example, in the case of more recent deep learning work, a complete explanation might be possible: it might also entail an incomprehensible number of parameters. Jupyter Book: Interactive books running in the cloud ” by Chris Holdgraf (2019-03-27). Challenges for Transparency ”. Riccardo Guidotti, et al.

Machine Learning

Insight

DECEMBER 30, 2019

Lauren Holzbauer was an Insight Fellow in Summer 2018. As this kernel sweeps across the entire 32x32 input image, the pixel values interact only with these 25 weights as information flows into the next layer. Let’s use our ninja skills to figure out what CNNs are really doing.

Visualization