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Advanced Analytics | Programming Tips
Noah Han 0
결측 대체 함수, ‘COALESCE, COALESCEC’ 들여다보기

실무에서 데이터를 다루다 보면 필연적으로 결측 데이터를 만나게 됩니다. 핑계 없는 무덤이 없다는 속담이 있듯, 데이터가 결측인 이유도 정말 다양합니다. 특별한 경우에만 값이 있는 경우, 서버 장애로 관측되지 않은 경우, 응답자가 응답을 거부하는 경우, 데이터 구조가 바뀌면서 새로운 컬럼이 추가된 경우 등등 너무 다양하죠? 오늘 포스팅에서는 이와 같은 결측치를 처리하는

Advanced Analytics | Analytics | Artificial Intelligence | Risk Management
Thiago Escrivão 0
IFRS 9 e CMN 4.966: o que as novas regras significam para o CIO?

Bancos precisarão avançar seus modelos analíticos para se adequar às regras de previsão de perda esperada de crédito e normas internacionais No mercado financeiro, garantir a conformidade às regulamentações é uma constante na vida do tomador de decisão de tecnologia - e o IFRS 9 e a CMN 4.966/21 são

Work & Life at SAS
Celeste Cooper 0
Eastern Body, Western Mind

It's easy to feel pulled in too many directions.  Living in the Western world and studying mind/body modalities from an Eastern perspective can often feel like a tug of war. The Western culture is often focused on the pursuit of attainment while the East accentuates “letting go.” As I grew

Work & Life at SAS
Alyssa Grube 0
Reboot Your Resume

When was the last time you updated your resume? If it’s been… awhile (no shame!), making updates may feel daunting. Even if you’re happy in your current role, it’s always a good idea to have an updated resume. After all, you never know when an awesome internal or other opportunity

Advanced Analytics | Artificial Intelligence | Machine Learning
Sophia Rowland 0
MLOps for Pirates and Snakes: The Sasctl Packages for R and Python

SAS Model Manager and the sasctl packages aim to create a seamless ModelOps and MLOps process for Python and R models. Python and R models are not second-class citizens within SAS Model Manager. SAS, Python, and R models can be easily managed using our no-code/low-code interface. This is an interface that can be extended to support a variety of use cases.

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