As we all know, Machine learning is a revolutionary technology. In this progressively digital era, we constantly here such buzzwords like Artificial Intelligence, Machine Learning, Deep Learning and more. It is therefore vital to increase our knowledge in these fields, not simply because it is the “in” thing, but because the world is moving towards automation, data driven, and highly skilled talents in such fields. If we do not get started, we will be left behind and saying goodbye to boundless opportunities. In a little nutshell, Machine learning (ML) is an application of Artificial Intelligence (AI). ML provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves. Also, the more accurate and clean the data we feed ML, the better it gets at learning and improving the systems, to further identify risks and opportunities. Of course, this is only the tip of what ML is. How then does Azure Machine Learning come into play?
Well, just like Power BI, Azure is also a product of Microsoft. It has drag and drop features and tools which makes it really great for learners of all expertise. In an overview, Azure Machine Learning is a cloud service for accelerating and managing the machine learning project lifecycle. Machine learning professionals, data scientists, and engineers can use it in their day-to-day workflows such as to train and deploy models, and also manage MLOps. Of course, Azure Machine Learning can be beneficial to learners getting started as well due to it’s versatility with other languages. Find out more below!
Why Should I Learn Azure Machine Learning?
The question is why not? Azure Machine Learning is another skillset worth venturing. After all, with machine learning on the rise, now is the best time to get started, in order to stay ahead in the market. Nowadays, many organisations realise that in addition to traditional Business Intelligence, there are boundless opportunities for competitive advantage by using historical and even real-time data to accurately predict future events or gain insights, which are not easily detected by looking at via a bar chart or scatter plot.
Of course, finding these hidden gems of a talent is undoubtedly difficult as the pool is relatively small. There are so many job and career opportunities out there waiting to be grabbed, but only a minority are able to. This is not only a huge gap in the market in the world, but especially Singapore. Thankfully, Azure Machine Learning answers many of these problems with their latest release to provide learners an easier starting point to develop their capabilities and skillsets in this field!
Azure Machine Learning is Robust!
Azure Machine Learning removes various roadblocks and makes machine learning simple due to its friendly and robust features. The best part is that organisations can reap the benefits of Machine Learning without requiring in-house expertise.
We now live in an era where remote and hybrid working is a norm. Thus, organisations must choose technologies that deliver anytime, anywhere access from any device to access business information. The adoption of Azure Machine Learning can help organisations to simplify working from home or working remotely. Azure Machine Learning is able to promote flexible working arrangements and enable employees to access business data and reports, wherever they are basically working from! This enhances the working experience, and makes it productive for employees to work in general, despite the unconventional but the norm now when it comes to the working situation.
Just like Power BI, Azure Machine Learning can deliver an interactive view of essential business data to stakeholders, on any device and irrespective of location, through captivating data visualisations.
Suitable for Newbies!
As previously mentioned, Azure Machine Learning is beginner friendly, as users do not need to have any experience to get started. Aside from its drag and drop fields, and it’s easily accessible functions, Azure Machine Learning is interactive due to it’s versatility, convenience, and highly aesthetics visuals! It definitely catches the eye of Azure users. Microsoft Azure Machine Learning is very much suitable and easy to use for both newbies and experts due to its set of tools which are less restrictive. Azure Machine Learning is also flexible this able to integrate with various sources & communities like Python & R, making it a powerful & practical tool. Having such flexible skillsets in these areas will only strengthen learners capabilities and programming language, to further enhance and grow in Data Science and Machine Learning. This would mean better career opportunities and growth for learners too!
Azure Machine Learning has a Rich and Supportive Ecosystem!
As Azure Machine Learning is part of the Microsoft family, there is a comprehensive community and widely available resources or forums for all levels of Azure Machine Learning enthusiasts! This will provide learners with the information and tools required in their learning journey as well. There are also blog articles done by the members, which will help everyone gain insights into Azure Machine Learning. It is like a classroom, where students share their problems, and the teachers help to rectify.
There are also other communities beyond this, with Azure Machine Learning enthusiasts from across the globe! It is always nice to connect with like-minded individuals which will help you to grow and progress in your learning journey too. After all, as we are in a highly competitive digital era, embracing change is key, but so is the next course of action – which is to actually to get started and upskill, in order to continuously stay relevant and ahead of any disruptions.
Learn more about Azure Machine Learning and how to get started on the journey!
In this 2 days course designed for beginners or those with limited knowledge, participants will learn to use Azure for Machine Learning. Azure is flexible and can be used for any type of Machine Learning, from classical to deep learning, supervised, and unsupervised learning. Our expert trainer will guide learners on the fundamentals of Azure Machine Learning, learn how to use the various tools such as dragging the data sets and further process the analysis.
If you would like to get started and upskill, look no further! You may additionally progress on to our other Machine Learning courses, and even venture into other programming languages to achieve a more competitive you!
For more information, you can get in touch with us at (65) 6720 3333 or training.aventis@gmail.com
References
What is Azure Machine Learning?
What is Machine Learning? A Definition
Azure Machine Learning: An Overview
