Welcome to download



Do not remember me!

 
We have Tested and found Below Host Trustable, Please Buy Premium account From Below Host.
UploadGIG.com nitroflare.com
Note: Do not Buy Premium account from Reseller

Latest Comments

    No comments
» » » Introduction to Data Science and SQL Server Machine Learning

Introduction to Data Science and SQL Server Machine Learning

Introduction to Data Science and SQL Server Machine Learning

MP4 | Video: AVC 1920x1080 | Audio: AAC 44.1KHz 2ch | Duration: 1h 50m | 663 MB | Language: English
In this class for beginners, you will get started with Data Science and SQL Server Machine Learning Services. You will learn the basics of Data Science, as well as, how you can start implementing Data Science projects in SQL Server, via its Machine Learning built-in feature.
Data Science, Big Data, Machine Learning and Artificial Intelligence, are the areas of technology that have been significantly evolved over the last few years. These technologies, are already heavily used by many organizations, in order to efficiently solve complex problems. Among other, they are used for predicting patterns based on large data sets and thus transform raw data into meaningful knowledge.
Examples where Data Science and Machine Learning are used, include: email SPAM and malware filtering, product recommendations on eCommerce websites, online fraud detection, early prediction of diseases and much more.
To this end, knowing Data Science and Machine Learning, is surely a competitive advantage in the job market, since as we evolve as a society and economy, these technologies are being used even more, for helping Business, Healthcare and many other sectors in our everyday lives.
Since all these technologies rely on large sets of data, also known as "Big Data", combining these technologies with a powerful Data Platform such as SQL Server, can further enhance the process of learning from data.
SQL Server, via its Machine Learning Services offering, helps you to easily implement Data Science and Machine Learning projects, directly against your data, either structured, or unstructured, or both.
Via my class "Introduction to Data Science and SQL Server Machine Learning", you will get introduced to Data Science and SQL Server Machine Learning Services. Among other, you will learn what Data Science is and what is the Data Science Lifecycle. Moreover, you will learn about SQL Server and its Machine Learning Services offering and see live demonstrations of installing the required services for getting started, as well as of how you can run Python and R code from within SQL Server.
Then, we will talk about SQL Server's development tools, which can be used for implementing Data Science projects on the platform and finally we will perform a simple Data Science project in SQL Server, where we will create, train and score a model, for predicting values based on the data input.
After you Complete the Class:
You will know what Data Science is
You will know the different stages in Lifecycle of a Data Science Project
You will know what SQL Server Machine Learning Services are
You will know how to perform a simple installation of SQL Server along with Machine Learning Services
You will know about the Python and R machine learning packages included in SQL Server Machine Learning Services
You will know how to start using SQL Server Management Studio and Azure Data Studio for working with SQL Server
You will know how to execute Python and R scripts directly from within SQL Server
You will know how to implement a simple Data Science project using Python and SQL Server Machine Learning Services
Introduction to Data Science and SQL Server Machine Learning

Download link :
(If you need these, buy and download immediately before they are delete)
Links are Interchangeable - Single Extraction - Premium is support resumable
UploadGIG.com

Please login or register

Dear visitor, you are browsing our website as Guest. We strongly recommend you to register and login to view hidden contents.

Comments (0)

Leave Comment

Name:*
E-Mail:
Security Code: *
Click on the image to refresh the code if it cannot be viewed