Machine Learning Metrics Off-The-Shelf Weak Development Team 
O'Reilly Media - Ideas
MARCH 31, 2020
If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). You already know the game and how it is played: you’re the coordinator who ties everything together, from the developers and designers to the executives.
TechCrunch
MARCH 22, 2022
Smartphone cameras have gotten quite good, but it’s getting harder and harder to improve them because we’ve pretty much reached the limit of what’s possible in the space of a cubic centimeter. It may not be obvious that cameras won’t get better, since we’ve seen such advances in recent generations of phones.
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Altexsoft
MAY 27, 2022
This article describes how data and machine learning help control the length of stay — for the benefit of patients and medical organizations. Length of stay calculation for hospitals: how machine learning can enhance results. Today, we can employ AI technologies to predict the date of discharge. days in 1960 to just 5.4
Altexsoft
APRIL 24, 2019
How would you price tickets not only to cover expenses for each route but also to achieve a certain level of revenue to be able to grow and develop your business? For instance, an airline can secure itself from bad sales during a low-demand season or before an upcoming departure day by putting tickets on sale. Pricing automation.
Altexsoft
APRIL 13, 2021
The insurance industry is notoriously bad at customer experience. Customer satisfaction score (CSAT) and Net Promoter Score (NPS) are the most important metrics for any insurance company. Customer satisfaction score (CSAT) and Net Promoter Score (NPS) are the most important metrics for any insurance company. Not in China though.
O'Reilly Media - Ideas
JANUARY 17, 2023
What would you say is the job of a software developer? A layperson, an entry-level developer, or even someone who hires developers will tell you that job is to … well … write software. ” I, thankfully, learned this early in my career, at a time when I could still refer to myself as a software developer. .”
O'Reilly Media - Data
MARCH 22, 2018
Over the years, machine learning (ML) has come a long way, from its existence as experimental research in a purely academic setting to wide industry adoption as a means for automating solutions to real-world problems. There is also a trade off in balancing a model’s interpretability and its performance.
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