Our AWS-Certified-Machine-Learning-Specialty study materials will stimulate your learning interests, Almost 98 to 100 exam candidates who bought our AWS-Certified-Machine-Learning-Specialty Valid Exam Cram practice materials have all passed the exam smoothly, The AWS-Certified-Machine-Learning-Specialty valid exam cram has helped lots of people get their AWS-Certified-Machine-Learning-Specialty certification successfully, If you are looking for the best AWS-Certified-Machine-Learning-Specialty latest torrent files, ours is the best.

As a web designer, my job is to help set and meet those AWS-Certified-Machine-Learning-Specialty Interactive Course expectations, With App-V you can even run different versions of the same virtualized application, Graph algorithms, starting with graph search, shortest https://www.braindumpspass.com/AWS-Certified-Machine-Learning-Specialty-exam/aws-certified-machine-learning-specialty-dumps-11215.html paths, and minimum spanning trees, and working up to maximum flow/minimum cut and applications.

Download AWS-Certified-Machine-Learning-Specialty Exam Dumps

Quizzes help you build and test your knowledge, I've used them, Our AWS-Certified-Machine-Learning-Specialty study materials will stimulate your learninginterests, Almost 98 to 100 exam candidates AWS-Certified-Machine-Learning-Specialty Valid Exam Cram who bought our AWS Certified Machine Learning practice materials have all passed the exam smoothly.

The AWS-Certified-Machine-Learning-Specialty valid exam cram has helped lots of people get their AWS-Certified-Machine-Learning-Specialty certification successfully, If you are looking for the best AWS-Certified-Machine-Learning-Specialty latest torrent files, ours is the best.

Our website provides the most up-to-date and accurate AWS-Certified-Machine-Learning-Specialty dumps torrent which are the best for passing certification test, And on your way to success, they can offer titanic help to make your review more relaxing and effective.

Free PDF Quiz 2022 Amazon AWS-Certified-Machine-Learning-Specialty: Unparalleled AWS Certified Machine Learning - Specialty Certification Materials

AWS-Certified-Machine-Learning-Specialty study material has been verified and updated by the experts, If you are still a student, you must have learned from the schoolmaster how difficult it is to go out to work now.

The AWS-Certified-Machine-Learning-Specialty exam dumps questions boost up your confidence level, They are professional practice material under warranty, Laziness will ruin your life one day.

We provide free-worry shopping experience for customers.

Download AWS Certified Machine Learning - Specialty Exam Dumps

NEW QUESTION 50
A Data Scientist is developing a machine learning model to classify whether a financial transaction is fraudulent. The labeled data available for training consists of 100,000 non-fraudulent observations and 1,000 fraudulent observations.
The Data Scientist applies the XGBoost algorithm to the data, resulting in the following confusion matrix when the trained model is applied to a previously unseen validation dataset. The accuracy of the model is 99.1%, but the Data Scientist needs to reduce the number of false negatives.

Which combination of steps should the Data Scientist take to reduce the number of false negative predictions by the model? (Choose two.)

• A. Increase the XGBoost scale_pos_weight parameter to adjust the balance of positive and negative weights.
• B. Decrease the XGBoost max_depth parameter because the model is currently overfitting the data.
• C. Increase the XGBoost max_depth parameter because the model is currently underfitting the data.
• D. Change the XGBoost eval_metric parameter to optimize based on Area Under the ROC Curve (AUC).
• E. Change the XGBoost eval_metric parameter to optimize based on Root Mean Square Error (RMSE).

Answer: A,D

NEW QUESTION 51
A Machine Learning Specialist is working with a large company to leverage machine learning within its products. The company wants to group its customers into categories based on which customers will and will not churn within the next 6 months. The company has labeled the data available to the Specialist.
Which machine learning model type should the Specialist use to accomplish this task?

• A. Linear regression
• B. Classification
• C. Reinforcement learning
• D. Clustering

Answer: B

Explanation:
The goal of classification is to determine to which class or category a data point (customer in our case) belongs to. For classification problems, data scientists would use historical data with predefined target variables AKA labels (churner/non-churner) ?answers that need to be predicted ?to train an algorithm.
With classification, businesses can answer the following questions:
Will this customer churn or not?
Will a customer renew their subscription?
Will a user downgrade a pricing plan?
Are there any signs of unusual customer behavior?
https://www.kdnuggets.com/2019/05/churn-prediction-machine-learning.html

NEW QUESTION 52
An office security agency conducted a successful pilot using 100 cameras installed at key locations within the main office. Images from the cameras were uploaded to Amazon S3 and tagged using Amazon Rekognition, and the results were stored in Amazon ES. The agency is now looking to expand the pilot into a full production system using thousands of video cameras in its office locations globally. The goal is to identify activities performed by non-employees in real time.
Which solution should the agency consider?

• A. Use a proxy server at each local office and for each camera, and stream the RTSP feed to a unique Amazon Kinesis Video Streams video stream. On each stream, use Amazon Rekognition Video and create a stream processor to detect faces from a collection of known employees, and alert when non-employees are detected
• B. Use a proxy server at each local office and for each camera, and stream the RTSP feed to a unique Amazon Kinesis Video Streams video strearw On each stream, use Amazon Rekognition Image to detect faces from a collection of known employees and alert when non-employees are detected.
• C. Install AWS DeepLens cameras and use the DeepLens_Kinesis_video module to stream video to Amazon Kinesis Video Streams for each camera. On each stream, use Amazon Rekognition Video and create a stream processor to detect faces from a collection on each stream, and alert when non-employees are detected.
• D. Install AWS DeepLens cameras and use the DeepLens_Kinesis_video module to stream video to Amazon Kinesis Video Streams for each camera. On each stream, run an AWS Lambda function to capture image fragments and then call Amazon Rekognition Image to detect faces from a collection of known employees, and alert when non-employees are detected.

Answer: C

NEW QUESTION 53
......