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Packt Machine Learning In The Cloud With Azure Machine Learning Tutoriale
Категория: Уроки, Видео Уроки | Опубликовал(а): michaa47 | 14 02 2019

Packt Machine Learning In The Cloud With Azure Machine Learning Tutoriale
MACHINE LEARNING IN THE CLOUD WITH AZURE MACHINE LEARNING TUTORIAL-OXBRiDGE


Genre:Training
Size: 5.91 GB




About This Video
|
| Azure Machine Learning is a cloud-based data science and
| machine learning service which is easy to use and is robust and
| scalable like other Azure cloud services
| It provides visual and collaborative tools to create a
| predictive model which will be ready-to-consume on web services
| without worrying about the hardware or the VMs which perform the
| calculations
| The advantage of Azure ML is that it provides a UI-based
| interface and pre-defined algorithms that can be used to create a
| training model. And it also supports various programming and
| scripting languages like R and Python
|
| In Detail
|
| With the arrival of cloud computing and multi-core machines, we
| have enough compute capacity at our disposal to churn large
| volumes of data and dig out the hidden patterns contained in these
| mountains of data. This technology comes in handy, especially when
| handling Big Data. Today, companies collect and accumulate data at
| massive, unmanageable rates for website clicks, credit card
| transactions, GPS trails, social media interactions, and so on
| And it is becoming a challenge to process all the valuable
| information and use it in a meaningful way. This is where machine
| learning algorithms come into the picture. These algorithms use
| all the collected past data to learn patterns and predict
| results or insights that help us make better decisions backed by
| actual analysis. You may have experienced various examples of
| machine learning in your daily life. Machine learning is used to
| build models from historical data, to forecast the future events
| with an acceptable level of reliability. This concept is known as
| predictive analytics. To get more accuracy in the analysis, we can
| also combine machine learning with other techniques such as data
| mining or statistical modeling. This progress in the field of
| machine learning is great news for the tech industry and humanity
| in general. But the downside is that there aren t enough data
| scientists or machine learning engineers who understand these
| complex topics. Well, what if there was an easy to use a web
| service in the cloud, which could do most of the heavy lifting for
| us? What if it scaled dynamically based on our data volume and
| velocity? The answer is the new cloud service from Microsoft
| called Azure Machine Learning
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