레포트 (17)
애널리틱스, 빅데이터_판매 예측모델 프로젝트 2_Columbia Univ_Project Deliverable_Part 2
dataset has outliers, they can significantly swing the regression result. In addition, overfitting may occur, modeling random error (noise) in the data. Plus, linear regression is supposed to describe linear relationship. If there is a non-linear relationship, then the result of the linear model will be poor. To compensate this situation, log transformation was used in our model which contributed
5페이지 | 500원 | 2021.01.19
HEALTH ONSETS INTO TWO CATEGORIES- MAJOR ( CANCER, HEART DISEASE, STROKE, AND DISEASES OF THE LUNG) AND MINOR (EVERYTHING ELSE)-ALL THESE MODELS CONTROL FOR A WIDE ARRAY OF BASELINE HEALTH AND SES MEASURES AND INCLUDE MEASURES OF THE ONSET OF NEW CONDITIONS Back ground FORTUNATELY THERE ARE OTHER WAYS TO SKIN A CAT- I TURN NEXT TO THE QUESTION OFSO-CALLED RESERVE CAUSATION- WHETHER
15페이지 | 800원 | 2016.04.16
Deploying artificial intelligence for dynamaic resource management_By Pradeep Reddy Varakanthanm_MBA
modelconsumer behaviour. With their abilityto gather customer data in real time andanalyse trends in customer behaviour, AIsystems can help companies roll out effectivemarketing campaigns. AI systems also allowfor the creation of personalised promotionsand individualised website displays for highlytargeted marketing.Indeed, AI-enabled technologies have a wide range ofapplications. In ag
3페이지 | 2,000원 | 2023.02.12
[경영기획] Trekking Park 사업 추진 전략(영문)
database of customers. ATLANTIS OFFLINECustomer3. It is a reservation system where you visit us offline and make reservations with our employee in person hearing the specific information. If we use the offline sales system the need for human resource will increase so the costs of product will increase. Day tripper / FIT4. This is a system where you come to our base camp on that day and go
38페이지 | 3,000원 | 2010.09.27
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