Article

Imran Ansari
Imran Ansari 15 February 2018

Machine Learning is Fascinating but rides on Data Quality

Very often they are referred interchangeably but Machine learning (ML) is actually is a type of artificial intelligence (AI) and it enables computers to get into a mode of self-learning without being explicitly programmed. When exposed to new data, these computer programs are enabled to learn, grow, change, and develop by themselves.

Do you know?

  • 90% of the world’s data was generated in the last 2 years along with apps and devices that have helped to make sense of data.
  • One of 2 very hot 2018 buzzwords will be Artificial Intelligence (AI) and Machine Learning (ML).

Very often they are referred interchangeably but Machine learning (ML) is actually is a type of artificial intelligence (AI) and it enables computers to get into a mode of self-learning without being explicitly programmed. When exposed to new data, these computer programs are enabled to learn, grow, change, and develop by themselves.

Artificial Intelligence in general is machines replicating tasks that humans are good at but computers are not.

Machine Learning is a core subset of Artificial Intelligence and is an idea of collaborating algorithms and statistics and learning from data. It’s a fascinating technology filled with limitless potential. ML relies on algorithms that learn from past examples and help humans perform complex tasks faster and better than ever.

Though Machine learning and Artificial intelligence (AI) are not new concepts but they are exerting a huge influence on all businesses nowadays. Their abrupt innovations are reshaping the technology world.

An example of machine learning is - if you want your website to suggest products to customer based on their buying or browsing pattern on your website, you cannot make recommendations manually. So, you use machine learning to recommend visitors in real-time as they come to the site. Off course, all these recommendations will be based on site visit/conversion data.

Machine learning tries to encode the human decision-making process into algorithms. It learns from the data available at disposal (called data set or training set) and creates inferences using different algorithm to deliver results/predictions.

However, it isn’t that easy to produce the desired results out of this technology. It is very imperative that the data-set fed to ML is complete, reliable, consistent & predictive otherwise it will just be garbage in and garbage out.

As a result of data propagation, many companies are sitting on huge un-tapped data reserves and they are often scattered and in incompatible formats. There is a need to invest in getting your data-set ready for ML implementation on larger chunk.

Please login or register to add a comment.

Contribute Now!

Loving our articles? Do you have an insightful post that you want to shout about? Well, you've come to the right place! We are always looking for fresh Doughnuts to be a part of our community.

Popular Articles

See all
How to Review a Website — A Guide for Beginners

How to Review a Website — A Guide for Beginners

A company website is crucial for any business's digital marketing strategy. To keep up with the changing trends and customer buying behaviors, it's important to review and make necessary changes regularly...

Digital Doughnut Contributor
Digital Doughnut Contributor 25 March 2024
Read more
The Impact of New Technology on Marketing

The Impact of New Technology on Marketing

Technology has impacted every part of our lives. From household chores to business disciplines and etiquette, there's a gadget or app for it. Marketing has changed dramatically over the years, but what is the...

Alex Lysak
Alex Lysak 3 April 2024
Read more
10 Factors that Influence Customer Buying Behaviour Online

10 Factors that Influence Customer Buying Behaviour Online

Now is an era where customers take the center stags influencing business strategies across industries. No business can afford to overlook factors that could either break the customer experience or even pose a risk of...

Edward Roesch
Edward Roesch 4 June 2018
Read more
The World Is Shrinking: 6 Degrees of Separation Is Now 2!

The World Is Shrinking: 6 Degrees of Separation Is Now 2!

Six degrees of separation is not just a party game, it's a reality. Everyone is the world is interconnected, and thanks to social media, that connectedness gets tighter and richer each day. See the research...

Scott Christley
Scott Christley 9 August 2017
Read more
Anthropomorphism Of Brands: Humanizing Our Companies

Anthropomorphism Of Brands: Humanizing Our Companies

Brands are living beings; they breathe, feed, age, and sometimes vanish with time if not provided the care they need to flourish.

Islam Gouda
Islam Gouda 25 January 2016
Read more