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AI has captured the general public's imagination, so it was no surprise that it was nearly the only topic of conversation among data professionals at this year’s Chief Data and Analytics Officer (CDAO) conference in London. Of course, AI and machine learning are not new concepts for those working in
컴퓨터가 인간보다 잘 하는 몇 가지 분야가 있는데, 그 중 하나가 바로 이미지 인식입니다. 2012년 알렉스넷이 개발된 이후 컴퓨터 비전 분야는 급속도로 성장하여 우리 일상에 자연스럽게 스며들었습니다. 오늘 포스팅에서는 컴퓨터가 이미지를 어떻게 인식할 수 있는지 이론을 중심으로 살펴보도록 하겠습니다. 1. 컴퓨터 비전의 과거 우리가 모니터를 통해 바라보는 이미지의 구조부터 알아보겠습니다.
Debido a la complejidad y cambios en el mercado, las organizaciones de todo el mundo están aprovechando las oportunidades para hacer mejores predicciones, identificar soluciones y dar pasos estratégicos y proactivos, lo que significa que dependen cada vez más de los big data. Sin embargo, en su búsqueda de resistencia
Computer vision is a field of artificial intelligence that teaches computers to understand visuals. Using digital images from cameras and videos and deep learning models, machines can learn to recognize and categorize objects and respond to their surroundings based on what they “see.” Computer vision's accuracy has skyrocketed in the
자금 세탁 방지와 사기 방지 환경의 통합 접근 방안 금융 범죄의 현황과 대응 금융 범죄(Financial Crimes)라 함은 개인적 사용 및 사익을 위해 불법적으로 재산의 소유권을 전환하는 모든 불법 행위를 포함하는 광범위한 용어입니다. 금융 범죄는 다양한 유형의 사기(Fraud), 절도(Theft), 스캠(Scam), 탈세(Tax Evasion), 뇌물 수수(Bribery), 횡령(Embezzlement), 신원 도용(Identity Theft), 위조(Forgery) 등에 의해
Menopause is often looked at as a time of dread, losing femininity and coming face to face with aging. I like to think of it as a time of finding the goddess within. I have personally considered it as a time of self-discovery, feeling comfortable in my own skin, letting
A behind-the-scenes look at women contributing their skills to the battle against child exploitation.
Disaster and insurance have always shared a symbiotic relationship – one begets the other. In 2022, insurers shouldered historic underwriting losses. Worsening results continued in Q1 of 2023 for the US property and casualty (P&C) industry, posting its first and largest net underwriting loss in the first quarter in 12
There are many ways to model a set of raw data by using a continuous probability distribution. It can be challenging, however, to choose the distribution that best models the data. Are the data normal? Lognormal? Is there a theoretical reason to prefer one distribution over another? The SAS has
Los modelos analíticos se han convertido en un elemento clave para la toma de decisiones en las organizaciones. Sin embargo, para conseguir una modelización óptima, es necesario tener presente una serie de consideraciones y buenas prácticas. Joaquín María Núñez Varo, Analista del Departamento de Evaluación del ICEX España, nos acompañó
O nadchodzącej rewolucji związanej z internetem rzeczy (IoT) pisze się dużo od wielu lat. Wiele już słyszeliśmy o zmianach w codziennym życiu i korzyściach dla nas wszystkich, które ta rewolucja ma ze sobą przynieść, ale wciąż nie widać zastosowań IoT na szeroką skalę. Największy rozgłos zyskały dotychczas inteligentne liczniki prądu/gazu,
As SAS delivered powerful end-to-end artificial intelligence & machine learning platform SAS® Viya®, more and more SAS users plan to adopt this new platform to produce faster outcomes and invaluable insights. The significant difference between SAS Viya and SAS 9 is, UTF-8 is the default session encoding in SAS Viya,
Does anyone write paper checks anymore? According to researchers at the Federal Reserve Bank of Atlanta (Greene, et al., 2020), the use of paper checks has declined 63% among US consumers since the year 2000. The researchers surveyed more than 3,000 consumers in 2017-2018 and discovered that only 7% of
When the NBA’s Orlando Magic opened Amway Center in 2010, the team quickly realized they possessed a wealth of untapped data capabilities. Known as pioneers in introducing AI to the NBA, they’ve since expanded their analytics and data footprint in partnership with SAS. Outside of competing on the court, the
Some readers read the article “how-to-evaluate-sas-expression-in-data-step-dynamically” and wonder if there is a same mechanism or functionality in DS2. As indicated in that article, SAS provides similar features in DATA step, PROC CAS and PROC Python, but some projects like ESP (Event Stream Processing) projects would store those expression definition in