DP-3014 Implementing a Machine Learning solution with Azure Databricks [Cloud Slice Provided]

Practice Labs are hands-on virtual labs powered by Skillable, Microsoft’s largest lab partner.

Solve topic-related tasks in a virtual machine and use external hardware resources. You work on specific tasks in many individual chapters. A description with many useful tips is displayed within the lab for support.

Description

[MOC Publish Group]

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Was enthalten ist

EUR 99,00

Module 1

Get started with machine learning in Azure Databricks : Lab 01 (CSS)

Get started with machine learning in Azure Databricks | Lab 01 (CSS)

Skillable LIS-SKILL-20232

Kostenlos

Skillable

Englisch

180 Tage

Module 2

Use MLflow in Azure Databricks : Lab 02 (CSS)

Use MLflow in Azure Databricks | Lab 02 (CSS)

Skillable LIS-SKILL-20060

Kostenlos

Skillable

Englisch

180 Tage

Module 3

Optimize Hyperparameters for machine learning in Azure Databricks : Lab 03 (CSS)

Optimize Hyperparameters for machine learning in Azure Databricks | Lab 03 (CSS)

Skillable LIS-SKILL-20010

Kostenlos

Skillable

Englisch

180 Tage

Module 4

Train a model with AutoML : Lab 04 (CSS)

Train a model with AutoML | Lab 04 (CSS)

Skillable LIS-SKILL-20112

Kostenlos

Skillable

Englisch

180 Tage

Module 5

Train a deep learning model : Lab 05 (CSS)

Train a deep learning model | Lab 05 (CSS)

Skillable LIS-SKILL-20157

Kostenlos

Skillable

Englisch

180 Tage

* Pflichtfelder

Industriepartner

Institution

Skillable

Die Institution, die für die Kursunterlagen (und die Laborumgebung, falls vorhanden) dieses Lernprodukts verantwortlich ist.

Sprache

Englisch

Dauer des Abonnements

180 Tage

Die Zeit, in der Sie Zugriff auf das Lernprodukt haben, nachdem es aktiviert wurde.

Aktivierungsfrist

30 Tage

Nach Abschluss Ihrer Bestellung wird das Lernprodukt nicht sofort aktiviert, um Ihnen mehr Flexibilität zu bieten. Es wird jedoch automatisch aktiviert, wenn Sie es nicht innerhalb der Nachfrist aktiviert haben.

Name	Description	Lifetime
gdpr_cookie_consent	Stores the user's cookie consent state for the current domain	1 Jahr
gdpr_cookie_groups	Stores the user's cookie consent state for the current domain	1 Jahr
FLL_FRONTEND	Used for redirecting to sso client	1 Jahr
FLL_VIEW	Used to remember the store view you were last on.	1 Jahr
form_key	Ensures visitor browsing-security by preventing cross-site request forgery. This cookie is essential for the security of the website and visitor.	1 Tag
mage-cache-sessid	This cookie is used in context with load balancing - This optimizes the response rate between the visitor and the site, by distributing the traffic load on multiple network links or servers.	1 Tag
mage-cache-storage	This cookie is used in context with load balancing - This optimizes the response rate between the visitor and the site, by distributing the traffic load on multiple network links or servers.	1 Tag
mage-cache-storage-section-invalidation	This cookie is used in context with load balancing - This optimizes the response rate between the visitor and the site, by distributing the traffic load on multiple network links or servers.	1 Tag
mage-cache-timeout	This cookie is necessary for the cache function. A cache is used by the website to optimize the response time between the visitor and the website. The cache is usually stored on the visitor’s browser.	1 Tag
mage-messages	Necessary for the functionality of the website's chat-box function.	1 Tag
PHPSESSID	Preserves user session state across page requests.	1 Tag
product_data_storage	Necessary for the compare-products function on the website.	1 Tag
recently_compared_product	Necessary for the compare-products function on the website.	1 Tag
private_content_version	Appends a random, unique number and time to pages with customer content to prevent them from being cached on the server.	1 Jahr
__cf_bm	This cookie is used to distinguish between humans and bots. This is beneficial for the website, in order to make valid reports on the use of their website.	1 Tag
disableNewsletterPopup	Used for disabling newsletter popup	1 Jahr
recently_compared_product_previous	Collects information on which products have been viewed by the visitor - This is used for optimizing the specific visitor's navigation on the website.	1 Tag
recently_viewed_product	Collects information on which products have been viewed by the visitor - This is used for optimizing the specific visitor's navigation on the website.	1 Tag
recently_viewed_product_previous	Collects information on which products have been viewed by the visitor - This is used for optimizing the specific visitor's navigation on the website.	1 Tag
section_data_ids	Used in context with the shopping cart functionality. Remembers any wish-list products and visitor credentials when checking out.	1 Tag

Name	Description	Lifetime
geo_country		29 Tage
geo_country_name		29 Tage

Name	Description	Lifetime
_ga	Registers a unique ID that is used to generate statistical data on how the visitor uses the website.	1 Jahr
_gat	Used by Google Analytics to throttle request rate	1 Tag
_gid	Registers a unique ID that is used to generate statistical data on how the visitor uses the website.	1 Tag
_dc_gtm_UA_#	Used by Google Tag Manager to control the loading of a Google Analytics script tag.	1 Jahr
_ga_#	Used by Google Analytics to collect data on the number of times a user has visited the website as well as dates for the first and most recent visit.	1 Jahr
collect	Used to send data to Google Analytics about the visitor's device and behavior. Tracks the visitor across devices and marketing channels.	1 Jahr
YSC	Registers a unique ID to keep statistics of what videos from YouTube the user has seen.	1 Jahr
VISITOR_INFO1_LIVE	Tries to estimate the users bandwidth on pages with integrated YouTube videos.	179 Tage

PRINCE2 Agile® Foundation Training incl. Exam Voucher (English)

ITIL® 4 Foundation (English) incl. Exam Voucher

Authentic and Successful Presentations

DP-3014 Implementing a Machine Learning solution with Azure Databricks [Cloud Slice Provided]

Module 1

Get started with machine learning in Azure Databricks : Lab 01 (CSS)

Get started with machine learning in Azure Databricks | Lab 01 (CSS)

Module 2

Use MLflow in Azure Databricks : Lab 02 (CSS)

Use MLflow in Azure Databricks | Lab 02 (CSS)

Module 3

Optimize Hyperparameters for machine learning in Azure Databricks : Lab 03 (CSS)

Optimize Hyperparameters for machine learning in Azure Databricks | Lab 03 (CSS)

Module 4

Train a model with AutoML : Lab 04 (CSS)

Train a model with AutoML | Lab 04 (CSS)

Module 5

Train a deep learning model : Lab 05 (CSS)

Train a deep learning model | Lab 05 (CSS)

Industriepartner