Title: AIP-210최신덤프문제 - AIP-210 100£¥시&# [Print This Page] Author: elimoor562 Time: yesterday 23:21 Title: AIP-210최신덤프문제 - AIP-210 100£¥시&# 그리고 PassTIP AIP-210 시험 문제집의 전체 버전을 클라우드 저장소에서 다운로드할 수 있습니다: https://drive.google.com/open?id=1OR1WL-2I9YE7b75gijMxRZMYVvuD57oR
경쟁율이 심한 IT시대에CertNexus AIP-210인증시험을 패스함으로 IT업계 관련 직종에 종사하고자 하는 분들에게는 아주 큰 가산점이 될수 있고 자신만의 위치를 보장할수 있으며 더욱이는 한층 업된 삶을 누릴수 있을수도 있습니다. CertNexus AIP-210시험을 가장 쉽게 합격하는 방법이 PassTIP의CertNexus AIP-210 덤프를 마스터한느것입니다.
CertNexus인증 AIP-210시험은 IT인증시험중 가장 인기있는 시험입니다. CertNexus인증 AIP-210시험패스는 모든 IT인사들의 로망입니다. PassTIP의 완벽한 CertNexus인증 AIP-210덤프로 시험준비하여 고득점으로 자격증을 따보세요.
최신버전 AIP-210최신 덤프문제 인기 덤프자료PassTIP의 CertNexus AIP-210덤프로CertNexus AIP-210시험준비를 하면 시험패스는 간단한 일이라는걸 알게 될것입니다. CertNexus AIP-210덤프는 최근CertNexus AIP-210시험의 기출문제모음으로 되어있기에 적중율이 높습니다.시험에서 떨어지면 덤프비용 전액 환불해드리기에 우려없이 덤프를 주문하셔도 됩니다. 최신 Certified AI Practitioner AIP-210 무료샘플문제 (Q69-Q74):질문 # 69
You are developing a prediction model. Your team indicates they need an algorithm that is fast and requires low memory and low processing power. Assuming the following algorithms have similar accuracy on your data, which is most likely to be an ideal choice for the job?
A. Ridge regression
B. Random forest
C. Deep learning neural network
D. Support-vector machine
정답£ºA
설명£º
Ridge regression is a type of linear regression that adds a regularization term to the loss function to reduce overfitting and improve generalization. Ridge regression is fast and requires low memory and low processing power, as it only involves solving a system of linear equations. Ridge regression can also handle multicollinearity (high correlation among predictors) by shrinking the coefficients of correlated predictors.
질문 # 70
Which of the following options is a correct approach for scheduling model retraining in a weather prediction application?
A. Once a month
B. When the input volume changes
C. As new resources become available
D. When the input format changes
정답£ºD
설명£º
Explanation
The input format is the way that the data is structured, organized, and presented to the model. For example, the input format could be a CSV file, an image file, or a JSON object. The input format can affect how the model interprets and processes the data, and therefore how it makes predictions. When the input format changes, it may require retraining the model to adapt to the new format and ensure its accuracy and reliability. For example, if the weather prediction application switches from using numerical values to categorical values for some features, such as wind direction or cloud cover, it may need to retrain the model to handle these changes
.
질문 # 71
Which of the following items should be included in a handover to the end user to enable them to use and run a trained model on their own system? (Select three.)
A. Sample input and output data files
B. Link to a GitHub repository of the codebase
C. Intermediate data files
D. README document
E. Information on the folder structure in your local machine
정답£ºA,B,D
설명£º
Explanation
A handover is the process of transferring the ownership and responsibility of an ML system from one party to another, such as from the developers to the end users. A handover should include all the necessary information and resources that enable the end users to use and run a trained model on their own system. Some of the items that should be included in a handover are:
Link to a GitHub repository of the codebase: A GitHub repository is an online platform that hosts the source code and version control of an ML system. A link to a GitHub repository can provide the end users with access to the latest and most updated version of the codebase, as well as the history and documentation of the changes made to the code.
README document: A README document is a text file that provides an overview and instructions for an ML system. A README document can include information such as the purpose, features, requirements, installation, usage, testing, troubleshooting, and license of the system.
Sample input and output data files: Sample input and output data files are data files that contain examples of valid inputs and expected outputs for an ML system. Sample input and output data files can help the end users understand how to use and run the system, as well as verify its functionality and performance.
질문 # 72
Which of the following equations best represent an LI norm?