 |
GCP Professional ML Engineer |
|---|
| このアプリは現在ストアで閲覧することができません。 | ||||
|
価格 | 100円 | ダウンロード |
|
|---|---|---|---|---|
| ｼﾞｬﾝﾙ | 教育 | |||
サイズ | 11.8MB | |||
| 開発者 | DjamgaTech Corp | |||
| 順位 |
| |||
| ﾘﾘｰｽ日 | 2022-03-05 17:00:00 | 評価 | 評価が取得できませんでした。 | |
| 互換性 | iOS 11.0以降が必要です。 iPhone、iPad および iPod touch 対応。 | |||
|
||||
Use this App to learn about Machine Learning on GCP and prepare for the GCP Professional Machine Learning Engineer.
Earning GCP Professional Machine Learning Engineer validates expertise in building, training, tuning, and deploying machine learning (ML) models on GCP.
The App provides hundreds of quizzes and practice exams about:
- Machine Learning Operation on GCP
- Framing ML problems,
- Architecting ML solutions,
- Designing data preparation and processing systems,
- Developing ML models,
- Modelling
- Data Engineering
- Computer Vision,
- Exploratory Data Analysis,
- ML implementation & Operations
- Machine Learning Basics Questions and Answers
- Machine Learning Advanced Questions and Answers
- Scorecard
- Countdown timer
- Machine Learning Cheat Sheets
- Machine Learning Interview Questions and Answers
- Machine Learning Latest News
The App covers Machine Learning Basics and Advanced topics including: Monitoring, optimizing, and maintaining ML solutions, Automating and orchestrating ML pipelines, NLP, Modelling, Data Engineering, Computer Vision, Exploratory Data Analysis, ML implementation and Operations, Cloud Build, Kubeflow, TensorFlow, CSV, JSON, IMG, parquet or databases, Hadoop/Spark, Vertex AI Prediction, containerized serving, Kubeflow Pipelines/Vertex AI Pipelines, Cloud Composer/Apache Airflow,evaluation of drift or bias, 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.
Important: To succeed with the real exam, do not memorize the answers in this app. 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.
Note and disclaimer: We are not affiliated with Microsoft or Azure or Google or Amazon. The questions are put together based on the certification study guide and materials available online. The questions in this app should help you pass the exam but it is not guaranteed. We are not responsible for any exam you did not pass.
Earning GCP Professional Machine Learning Engineer validates expertise in building, training, tuning, and deploying machine learning (ML) models on GCP.
The App provides hundreds of quizzes and practice exams about:
- Machine Learning Operation on GCP
- Framing ML problems,
- Architecting ML solutions,
- Designing data preparation and processing systems,
- Developing ML models,
- Modelling
- Data Engineering
- Computer Vision,
- Exploratory Data Analysis,
- ML implementation & Operations
- Machine Learning Basics Questions and Answers
- Machine Learning Advanced Questions and Answers
- Scorecard
- Countdown timer
- Machine Learning Cheat Sheets
- Machine Learning Interview Questions and Answers
- Machine Learning Latest News
The App covers Machine Learning Basics and Advanced topics including: Monitoring, optimizing, and maintaining ML solutions, Automating and orchestrating ML pipelines, NLP, Modelling, Data Engineering, Computer Vision, Exploratory Data Analysis, ML implementation and Operations, Cloud Build, Kubeflow, TensorFlow, CSV, JSON, IMG, parquet or databases, Hadoop/Spark, Vertex AI Prediction, containerized serving, Kubeflow Pipelines/Vertex AI Pipelines, Cloud Composer/Apache Airflow,evaluation of drift or bias, 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.
Important: To succeed with the real exam, do not memorize the answers in this app. 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.
Note and disclaimer: We are not affiliated with Microsoft or Azure or Google or Amazon. The questions are put together based on the certification study guide and materials available online. The questions in this app should help you pass the exam but it is not guaranteed. We are not responsible for any exam you did not pass.
ブログパーツ第二弾を公開しました！ホームページでアプリの順位・価格・周辺ランキングをご紹介頂けます。
ブログパーツ第2弾！
アプリの周辺ランキングを表示するブログパーツです。価格・順位共に自動で最新情報に更新されるのでアプリの状態チェックにも最適です。
ランキング圏外の場合でも周辺ランキングの代わりに説明文を表示にするので安心です。
サンプルが気に入りましたら、下に表示されたHTMLタグをそのままページに貼り付けることでご利用頂けます。ただし、一般公開されているページでご使用頂かないと表示されませんのでご注意ください。
幅200px版
幅320px版
お気に入りのアプリをご紹介頂くためのブログパーツです。アプリの価格や順位表示は毎日自動更新♪
サンプルが気に入りましたら、下に表示されたHTMLタグをそのままページに貼り付けることでご利用頂けます。
※配信を停止させていただく可能性もございますので、タグの改変はご遠慮ください。
Now Loading...
「iPhone & iPad アプリランキング」は、最新かつ詳細なアプリ情報をご紹介しているサイトです。
お探しのアプリに出会えるように様々な切り口でページをご用意しております。
「メニュー」よりぜひアプリ探しにお役立て下さい。
Presents by $$308413110 スマホからのアクセスにはQRコードをご活用ください。 →
Now loading...