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Machine Learning In The Cloud With Azure Machine Learning (Udemy.com)

Introduction to machine learning in the cloud with Azure Machine Learning.

4.0
253 reviews

Created by: TetraNoodle Team

Last updated February 2019

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Overall Score : 80 / 100

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Course Description

The history of data science, machine learning, and artificial Intelligence is long, but it-'s only recently that technology companies - both start-ups and tech giants across the globe have begun to get excited about it- Why? Because now it works. 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 (in some cases without even realizing it). Take for example
  • Credit scoring, which helps the banks to decide whether to grant the loans to a particular customer or not - based on their credit history, historical loan applications, customers-' data and so on
  • Or the latest technological revolution from right from science fiction movies - " the self-driving cars, which use Computer vision, image processing, and machine learning algorithms to learn from actual drivers-' behavior.
  • Or Amazon's recommendation engine which recommends products based on buying patterns of millions of consumers.
In all these examples, 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 scaled dynamically based on our data volume and velocity?

The answer - is new cloud service from Microsoft called Azure Machine Learning. 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 this course, we will discuss Azure Machine Learning in detail. You will learn what features it provides and how it is used. We will explore how to process some real-world datasets and find some patterns in that dataset.

  • Do you know what it takes to build sophisticated machine learning models in the cloud?
  • How to expose these models in the form of web services?
  • Do you know how you can share your machine learning models with non-technical knowledge workers and hand them the power of data analysis?

These are some of the fundamental problems data scientists and engineers struggle with on a daily basis.

This course teaches you how to design, deploy, configure and manage your machine learning models with Azure Machine Learning. The course will start with an introduction to the Azure ML toolset and features provided by it and then dive deeper into building some machine learning models based on some real-world problems

If you-'re serious about building scalable, flexible and powerful machine learning models in the cloud, then this course is for you.

These data science skills are in great demand, but there-'s no easy way to acquire this knowledge. Rather than rely on hit and trial method, this course will provide you with all the information you need to get started with your machine learning projects.

Startups and technology companies pay big bucks for experience and skills in these technologies They demand data science and cloud engineers make sense of their dormant data collected on their servers - and in turn, you can demand top dollar for your abilities.
You may be a data science veteran or an enthusiast - if you invest your time and bring an eagerness to learn, we guarantee you real, actionable education at a fraction of the cost you can demand as a data science engineer or a consultant. We are confident your investment will come back to you many-fold in no time.

So, if you're ready to make a change and learn how to build some cool machine learning models in the cloud, click the "Add to Cart" button below.

Look, if you're serious about becoming an expert data engineer and generating a greater income for you and your family, it-'s time to take action.

Imagine getting that promotion which you-'ve been promised for the last two presidential terms. Imagine getting chased by recruiters looking for skilled and experienced engineers by companies that are desperately seeking help. We call those good problems to have.
Imagine getting a massive bump in your income because of your newly-acquired, in-demand skills.

That-'s what we want for you. If that-'s what you want for yourself, click the - Add to Cart- button below and get started today with our - Machine Learning In The Cloud With Azure Machine Learning- .

Let-'s do this together!
Who this course is for:
  • Data science enthusiasts
  • Software and IT engineers
  • Statisticians
  • Cloud engineers
  • Software architects
  • Technical and non-technical tech founders
Read More Beginner Beginner Level product length iconTime: 3h

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Instructor Details

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At TetraNoodle Technologies and its education arm - TetraTutorials, we work with several startups and build small to very high scale cloud solutions every day. We know what it takes to do this well.

We strive to put all our hands-on experience into these courses. Instead of superficial knowledge - we go into the depth of the topic and give you the exact - step by step blueprint on how to tame these complex topics in easy and digestible bite-sized videos. This real world knowledge enables you to grasp these concepts easily, and you can apply this learning immediately into your projects. TetraNoodle technologies has been in the software business since 2001. We have been part of many prestigious projects and startups. Over the course of these years - we have gained a good insight into what makes for flexible, scalable and robust software solutions. We are passionate about sharing all our collective knowledge with you. As of mid-2017, we have already taught over TWENTY FIVE THOUSAND students and counting. I'm an entrepreneur, investor, and technology enthusiast.
I started my career at the age of 15 working in a factory.
12 hours a day, 6 days a week. Earned a cool $2/day.
I had no contacts or resources, but I was determined to improve my life. I realized education and the right training was the only way for me to achieve my goals.
Somehow I managed to acquire modest education.
From there I went on to become a technical leader and CTO in

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Reviews

4.0

253 ratings on Udemy

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By Steven R

Very good course, with practical examples.

By Diemesleno Souza Carvalho

O curso é excelente para quem deseja iniciar com programação Machine Learning utilizando a plataforma Azure Cloud.

By Harish

Previously I have no idea about Azure ML but after this course completed i got the knowledge about the Azure Machine learning. I would like to this way of teaches. Thank you.for this course and valuable teaches.

By Sudharasan

This course as described should be about Azure machine learning .this course target Data science enthusiasts

Software and IT engineers. The instructors explained the concepts in depth and i was able to learn the concepts and design patterns properly.Thank you

By Gopal

Windows similarity. Linux and holder similarity (yes, you read that right). Great front end administration interface.It has a small footprint and it's one of those things that you can set and forget unlike other backup services that are in your face all the time.Azure is flexible to use to backup my data on different vault clouds with encryption to keep them safe. Besides, with the dynamic storage system,very clear explanation and examples by the tutor .

By Nasrin Jahan

It has a small footprint and it's one of those things that you can set and forget unlike other backup services that are in your face all the time. The cloud platform Azure is growing very fast and evolving. It allows you to easily and securely store work and personal data. The pricing is Reasonable, as many packages are available for selection.

By Rajaram

It's the most capable cloud computing platform out there, especially when it comes to synchronizing and/or integrating with your existing windows domain system.There are adding new functionalities all the time. A lot of different types of machines and services. Very good up time. Some unique features, never seen in other infrastructure provider (Network Disk)..its all about clearly explain this course.welldone

By Keerthu

This course target Data science enthusiasts Software and IT engineers. It allows you to easily and securely store work and personal data. This way of instruction was good. It clear the doubts. Thank you for this valuable course.

By Mughil

I would like few more real world scenario examples and hands on Labs.It has got a nice user interface, drag and drop components and connect them to build your model.I really loved this course because it seems to has just the right teaching approach for me and it seems that for many others as well.

By Aditi

This course target Data science enthusiasts

Software and IT engineers. The instructors explained the concepts in depth and i was able to learn the concepts and design patterns properly.Thank you

By Rich Helton

Great Course

By DuraiMurugan s

It has got a nice user interface, drag and drop components and connect them to build your model. you can also custiomize various components or code in python or R to have a custom component. it has nice interface to visualize data and easy to deploy your project. you can upload dataset from various sources . the best thing is its amazing interface.

it also has cortana intelligence suite and other stuff wrth trying. it gets work done fast and easy. it trains the model fast. in this course well explained by Mr.Manuj .Thank you

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Machine Learning In The Cloud With Azure Machine Learning
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  • Video Duration: icon 3h
  • Price: $39.99
  • Provider: icon Udemy
  • Updated: icon February 2019
  • Level: Beginner Beginner
  • Language: icon English
  • Certificate: icon Yes
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