AWS Machine Learning Prep PRO für Android

14 dinge über AWS Machine Learning Prep PRO

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1. The App covers Machine Learning Basics and Advanced topics including: NLP, Computer Vision, Python, linear regression, logistic regression, Sampling, dataset, statistical interaction, selection bias, non-Gaussian distribution, bias-variance trade-off, Normal Distribution, correlation and covariance, Point Estimates and Confidence Interval, A/B Testing, p-value, statistical power of sensitivity, over-fitting and under-fitting, regularization, Law of Large Numbers, Confounding Variables, Survivorship Bias, univariate, bivariate and multivariate, Resampling, ROC curve, TF/IDF vectorization, Cluster Sampling, etc.

2. Earning AWS Certified Machine Learning Specialty validates expertise in building, training, tuning, and deploying machine learning (ML) models on AWS.

3. Use this App to learn about Machine Learning on AWS and prepare for the AWS Machine Learning Specialty Certification MLS-C01.

4. Apply basic AWS security practices to machine learning solutions.

5. Select the appropriate model(s) for a given machine learning problem.

6. Frame business problems as machine learning problems.

7. Deploy and operationalize machine learning solutions.

8. It is very important that you understand why a question is right or wrong and the concepts behind it by carefully reading the reference documents in the answers.

9. The questions are put together based on the certification study guide and materials available online.

10. Important: To succeed with the real exam, do not memorize the answers in this app.

11. The questions in this app should help you pass the exam but it is not guaranteed.

AWS Machine Learning Prep PRO ist eine von DjamgaTech Corp. entwickelte Education app. Die neueste Version der App, v1.0, wurde vor 2 Jahren veröffentlicht und ist für 6,99 € verfügbar. Die App wird mit 0/5 bewertet und hat über 0 Benutzer Stimmen erhalten.

AWS Machine Learning Prep PRO wird ab 4+ Jahren empfohlen und hat eine Dateigröße von 8.33 MB.

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