Development [Udemy] Machine Learning In The Cloud With Azure Machine Learning

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DESCRIPTION:

What you'll learn:

• Learn about Azure Machine Learning
• Learn about various machine learning algorithms supported by Azure Machine Learning
• How to build and run a machine learning experiment with real world datasets
• Learn how to use classification machine learning algorithms
• Learn how to use regression machine learning algorithms
• How to expose the Azure ML machine learning experiment as a web service or API
• Learn how to integrate the Azure ML machine learning experiment API with a web application

Requirements:

• Basic knowledge about cloud computing and data science
• Basic knowledge about IT infrastructure setup
• Desire to learn something new and continuous improvement
• Access to a free or paid account for Azure

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.

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.

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.

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:

• Software and IT engineers
• Statisticians
• Cloud engineers
• Software architects
• Technical and non-technical tech founders
• Data science enthusiasts

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