Top 3 Reasons Why to Consider Machine Learning

- Productivity

by Varsha Agarwal

When you watch Youtube, or browse through your website, adverts of products you want or have recently searched for appear on the screen. Not only products, but Facebook and LinkedIn even give you suggestions on who to connect with. Did you know that the ads and friend suggestions that appear on these social media websites are purely based on machine learning?

Machine Learning and Artificial Intelligence (AI) have become an integral part of our lives without us even being aware of it. It’s the technology of the future, eEnhancing user experiences and creating value across industries.

What are the benefits of Machine Learning?

#1 Benefit of Machine Learning, A Rise in Job opportunities

There is huge demand for professionals with the skills required to build machine learning models. Since many industries have been using AI in their various domains to enhance user experiences, the demand for skilled professionals is on the rise and in turn creates attractive salary packages.

#2 Benefit of Machine Learning, Rapid growth

The International Data Corporation estimates that the spending on AI and machine learning will grow from $12B in 2017 to $57.6 Bin 2021. This means there will be steady growth in this field for the foreseeable future.

#3 Benefit of Machine Learning, Creativity appreciated

Many professionals in the IT industry have been looked down upon or lose interest in their field of work due to repetition. Machine Learning requires a lot of creativity to innovate and as a result it can create exciting opportunities for individuals.

Since machine learning focuses on programs that are created to make independent decisions, without human intervention, choosing the right language to create these programs is important. Several factors have to be considered ranging from the complexity of code to the availability of good machine learning libraries.

Many people like using Python, recognized as one of the leading languages in machine learning, because it’s flexibile and robust. It’s currently being used by data scientists, machine learning experts, web developers and scripting experts.

Here are 4 Reasons why Python is Well-Liked:

#1 Reason Why Python is Well-Liked, It’s Easy to learn

The simplicity of the code makes it easy for beginners to start with this language as it’s almost as readable as English. A code that is written in Python is only 1/5th of the code that is written in other Object-Oriented Languages. So the time taken to write a Python code is way less and easy to execute. Thus the developers can concentrate more on solving machine learning problems rather than spending a lot of time understanding the technicalities of the language.

#2 Reason Why Python is Well-Liked, The Libraries

Building algorithms can be time-consuming and require a lot of coding. Making use of Python can save time and hassle since there are already prebuilt libraries within Python, which massively supports machine learning. This helps reduce development time.

#3 Reason Why Python is Well-Liked, It’s Platform independent

Python is supported by many platforms such as Windows, iOS, Linus, etc… This helps in making machine learning models with Python a lot easier and cheaper.

#4 Reason Why Python is Well-Liked, Community and support

As a developer or a beginner the need for support from other developers when learning a new programming language or when stuck on an issue is very important. There are many communities, such as StackOverflow and meetups, where Python developers and beginners come together.

The technological advancements have paved the way for many new exciting and competitive opportunities for professionals who want to carve a career in AI and machine learning. It’s always important to continue learning and advance professionally, whether it’s in this field or another one, workshops and professional development courses are key. Machine learning helps to discover new things and is being used in healthcare, retail, transportation, and the entertainment industries.

Photo Credit Franck V. via Unsplash

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