Machine Learning In The Cloud With Azure Machine Learning

Machine Learning In The Cloud With Azure Machine Learning, available at $39.99, has an average rating of 4.15, with 36 lectures, 4 quizzes, based on 246 reviews, and has 5607 subscribers.

You will learn about Learn about Azure Machine Learning Learn about various machine learning algorithms supported by Azure Machine Learning Learn 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 Learn 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 This course is ideal for individuals who are Data science enthusiasts or Software and IT engineers or Statisticians or Cloud engineers or Software architects or Technical and non-technical tech founders It is particularly useful for Data science enthusiasts or Software and IT engineers or Statisticians or Cloud engineers or Software architects or Technical and non-technical tech founders.

Enroll now: Machine Learning In The Cloud With Azure Machine Learning

Summary

Title: Machine Learning In The Cloud With Azure Machine Learning

Price: $39.99

Average Rating: 4.15

Number of Lectures: 36

Number of Quizzes: 4

Number of Published Lectures: 35

Number of Published Quizzes: 4

Number of Curriculum Items: 40

Number of Published Curriculum Objects: 39

Original Price: $129.99

Quality Status: approved

Status: Live

What You Will Learn

Learn about Azure Machine Learning

Learn about various machine learning algorithms supported by Azure Machine Learning

Learn 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

Learn 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

Who Should Attend

Data science enthusiasts

Software and IT engineers

Statisticians

Cloud engineers

Software architects

Technical and non-technical tech founders

Target Audiences

Data science enthusiasts

Software and IT engineers

Statisticians

Cloud engineers

Software architects

Technical and non-technical tech founders

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!

Course Curriculum

Chapter 1: Welcome And Introduction

Lecture 1: Welcome and introduction

Lecture 2: Becoming an Online Instructor

Lecture 3: Course overview

Lecture 4: Prepare for the course

Lecture 5: Why learn Azure ML?

Lecture 6: Downloadable course material

Lecture 7: Get ready for Azure ML

Chapter 2: Get Familiar With Azure Machine Learning

Lecture 1: Introduction to Azure Machine Learning

Lecture 2: Introduction to supervised machine learning

Lecture 3: Introduction to Azure Machine Learning

Lecture 4: Azure Machine Learning Algorithms

Chapter 3: Deep Dive Into Azure Machine Learning

Lecture 1: Azure ML – deep dive

Lecture 2: Introduction to Azure ML Studio

Lecture 3: Deep dive into Azure ML Studio

Lecture 4: Doctors appointments dataset

Lecture 5: Explore doctors appointments dataset

Lecture 6: Prepare the dataset

Lecture 7: Build the Azure ML experiment

Lecture 8: Run the Azure ML experiment

Lecture 9: Visualize the results

Lecture 10: Deploy the webservice

Chapter 4: Predicting Housing Prices With Azure Machine Learning

Lecture 1: Predicting housing prices with Azure ML

Lecture 2: Review housing pricing dataset

Lecture 3: Visualize housing pricing dataset

Lecture 4: Edit column metadata

Lecture 5: Edit column metadata

Lecture 6: Edit column metadata

Lecture 7: Run the experiment

Chapter 5: Deploy A Web Application With Azure Machine Learning

Lecture 1: Deploy a web application with Azure ML

Lecture 2: Introduction to Azure cloud

Lecture 3: Deploy Azure ML web application

Lecture 4: Review Azure ML web application

Lecture 5: Test drive Azure ML web application

Lecture 6: Wrap up

Chapter 6: Conclusion

Lecture 1: Thank you!

Instructors

TetraNoodle Team
REAL KNOWLEDGE. REAL EXPERIENCE. REAL VALUE.

Manuj Aggarwal
From $2/day to boardrooms of the Fortune 500. Read my story

Rating Distribution

1 stars: 6 votes

2 stars: 7 votes

3 stars: 49 votes

4 stars: 79 votes

5 stars: 105 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!