TechCrunch
MAY 10, 2022
-based companies, 44% said that they’ve not hired enough, were too siloed off to be effective and haven’t been given clear roles. As a result, most machine learning tasks in an organization are bottlenecked on an oversubscribed centralized data science team,” Molino told TechCrunch via email.
O'Reilly Media - Data
MARCH 22, 2018
Data Scientist Cathy O’Neil has recently written an entire book filled with examples of poor interpretability as a dire warning of the potential social carnage from misunderstood models—e.g., There is also a trade off in balancing a model’s interpretability and its performance.
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Altexsoft
JUNE 11, 2021
an also be described as a part of business process management (BPM) that applies data science (with its data mining and machine learning techniques) to dig into the records of the company’s software, get the understanding of its processes performance, and support optimization activities. What is process mining? Process mining ?an
Altexsoft
JUNE 6, 2019
In-store cameras and sensors detect each product one takes from a shelf, and items are being added to a virtual cart while a customer proceeds. Physical stores still have a lion’s share of sales, but the tendency of the growing demand for online experiences shouldn’t be ignored. Source: Forrester Consulting. Amazon Go stores.
Altexsoft
OCTOBER 21, 2022
It offers high throughput, low latency, and scalability that meets the requirements of Big Data. The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. What does the high-performance data project have to do with the real Franz Kafka’s heritage?
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