Machine Learning In The Cloud With Azure Machine Learning
Discover the basic as well as advance elements of Machine Learning in Cloud using Azure Machine Learning and add on to your resume.
Now-a-days most of the technology based companies across the globe have started to show a lot of interest in Data Science, Machine Learning, and Artificial Intelligence. And the reason behind this acceptance is the extended usage of cloud computing and multi-core machines. It’s been witnessed that now companies have enough compute capacity at their disposal to churn large volumes of data and discover unique hidden patterns from those data.
Whenever Big Data is involved, this technology of machine learning is found to be highly useful. This has even simplified the challenge of companies to process valuable information in the most efficient manner. The machine learning algorithms utilizes the previous data to discover patterns and develop expected insights which further contribute in decision making, backed up by analysis.
You must have definitely experienced number of Machine Learning cases till date like Credit Scoring, Technological Revolutions, and Amazon’s Recommendation Engine etc. In all these cases machine learning has been utilized in order construct models, which further helps in forecasting upcoming events with an acceptable level of reliability. This is known as Predictive Analytics.
Now, as we know that there are very few number of Machine Learning Engineers & Data Scientists, who are actually aware about these complicated concepts, thus there is very high requirement of a web service in cloud that can provide 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 will perform the calculations. Therefore, a new cloud service from Microsoft called Azure Machine Learning has been introduced.
This course will be discussing Azure Machine Learning in detail and will take you through some basic & key characteristics and guidelines associated with it. You’ll be able to learn how to process real-world data-sets and explore patterns in that data-set.
You’ll discover:
- What it takes to build sophisticated machine learning models in cloud?
- How to expose these models in the form of web services?
- How to share your machine learning models with non-technical knowledge workers and transfer the power of data analysis?
This course will enable you to design, deploy, configure and manage your machine learning models with Azure Machine Learning.
Be it a Cloud Expert or a Beginner, all that this course requires is your time and eagerness to learn and grow. This course will transform your knowledge base in context of Machine Learning in the Cloud with Azure Machine Learning.
Grab this exclusive opportunity and enroll today!!
I'm an entrepreneur, investor, and a technology enthusiast. I like startups, business ideas, and high-tech anything. I like to work on hard problems and get my hands dirty with cutting-edge technologies. In the last few years, I've been a business owner, technical architect, CTO, coder, startup consultant, and more.
Currently, I am the principal consultant, architect and CTO of a software consulting company TetraNoodle Technologies based in Vancouver, Canada. We work with various startups on some cutting edge and interesting problems. Whether it is ideation and refining of your startup idea or building a dream team to execute on the idea - we provide a diverse set of solutions which help these startups succeed in their plans.
I have been in the software industry since 1997 and I have worked with early-stage businesses to Fortune 100 mega corporations.
With proficiency in creating innovative architectures and solutions, I have emerged as a professional who knows how to balance these solutions against cost, schedule, function, quality, and other business considerations.
I am passionate about sharing all my knowledge that I have acquired over the years. I am particularly interested in helping technical and non-technical entrepreneurs, founders and co-founders of tech startups. I will strive to bring courses which provide practical know-how and advice about designing, architecture, optimizing and executing on your next big idea.
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