Skip to main content

Explore the world of machines learning where machines learn and teach us too!

Many of us may know that machine learning is an application of artificial intelligence. This gives systems the ability to automatically learn. They also improve from experience without being explicitly programmed.

https://digitalmarketing.ac.in/images/aiandml.png
Image source : sumologic.com


Essentially, this technique focuses on the development of computer programs that can access data and then use it learn themselves. It is actually a classic method of learning that learns how to learn. All one needs to know is the basic mechanism so that one can use it well. After all, there is always a difference between making use of something and making efficient use of something. This efficiency can come only we understand it completely and know all the aspects that it, in this case, machine learning operates on.

Machine learning uses data analysis that automates analytical model building. The basic premise is that systems can learn from data, identify patterns and make decisions with minimal human intervention.Naturally, with less human intervention, there would be more growth as there would be minimal dependency of human beings. All one does need is a few human beings who program it intelligently and efficiently to not just do it once but many times and also keep learning from each experience of the machine itself. This may sound like science fiction but the fact is, this is the new reality.


Evolution of the new reality

Due to new computing technologies, machine learning today differs from machine learning of the past. When it began, it was based pattern recognition and the theory that computers can learn without being programmed to perform specific tasks. After this, scientists interested in artificial intelligence wanted to see if computers could learn from data. This aspect of machine learning is important as when machines are exposed to new data, they are able to independently adapt. Machines learn from previous computations. They after studying and analysing it, they produce reliable, repeatable decisions and results. This is not something that is new but in recent years, it  has gained fresh momentum.



Why is this important?

More interest in machine learning is due to the same factors that have made data mining and Bayesian analysis more popular than ever. Primary factors are growing volumes and varieties of available data, computational processing that is cheaper and more powerful, and affordable data storage.

Taken together as all of this is happening at the same time, it means that it is now possible to quickly and automatically produce models that can analyze huge amount of data and deliver faster, more accurate results. Therefore, organisations are making use it. They do this by building precise models so that they have a better chance of identifying profitable opportunities – or avoiding unknown risks.

The fact is many machine learning algorithms have indeed been around for a long time. However, the ability to automatically apply complex mathematical calculations to huge amounts of data that is known as big data – over and over, faster and faster – is a recent development. Here are a few widely publicized examples of machine learning applications we may be familiar with. In fact, the beauty of machine learning is that many of us are using it without even knowing this is what we are using. 
For instance,

  • The heavily hyped, self-driving Google car? This is the essence of machine learning.
  • Recommendation that are given online to offers such as those from Amazon and Netflix? This is Machine learning applications for everyday life.
  • Customer views about you on Twitter? This is machine learning combined with linguistic rule creation.
  • Fraud detection? This is one of the very important uses of machine learning in our world today.

In Sum
Learning now encompasses deep learning everywhere in the digital world. This is nothing but a part of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks. Now, this is a complex subject but we must know that though termed ‘artificial’, neural networks are modelled on the human brain.
This is bound to become a success as the human brain is indeed the best machine of all. So, it does make sense to get guidance and inspiration from this wonderful machine. We need to understand this as this is what artificial intelligence itself is all about.  No wonder it is a field that is creating more and more interest everywhere and redefining the way we live, work and exist.

We know that we as a species are not the most powerful of all, mainly because of the brain.       With artificial intelligence stepped in, this is bound to catapult and take us even further in all that we can do.

For its just about machines but using the machines in the most effective manner.
AI, primarily in the form of deep-learning algorithms running on powerful graphics processing chips, is already widely used in enterprises, which will become increasingly data-driven as computing resources continue their historic price/performance/availability trends and the algorithms become ever more sophisticated.
Currently, people are divided on the effect that widespread AI adoption will have on the job market and workplace culture. What is certain is that AI will continue to develop rapidly and that possible economic and social upheaval needs to be on the political agenda.
As far as AI is concerned, we are definitely living in what is known as 'interesting times'.
To fit in here, we definitely need to embrace machine learning and all the skills we can learn through it and from it.
This is does require the passion to learn and keep learning. For this world keeps changing and we need to move with it to grow and succeed.
In that sense, learning machine learning is as essential as learning to walk in the digital era. The good news is that we can begin anytime from anywhere we are placed to enter in this arena.

Though this may sound cliched, we must examine what are we waiting for to succeed in this open, highly welcoming domain.

References





Comments

Popular posts from this blog

Explore SMM tools to make you grow further and succeed in the digital world

Social Media Marketing (SMM) has arrived. We need to make use of some key tools here. We bring information about these to you.




1# Later – Instagram Scheduler Later is known as premium social media marketing tools to plan your visual content marketing.It’s an easy-to-use tool to schedule and manage your Instagram posts via any devices such as the computer, iPhone, tablet or android so that you can manage your account from anywhere. It has an ability to add team members and this is a keynote in this particular social media marketing tool.
Pricing: Free Plan: Available It has afree plan that allows you to publish up to 30 posts and 2 reposts per month on an Instagram profile. There are also a couple of things such as it helps to socialize with Facebook, Twitter, and other marketing tools as well.
Other Premium Plans: For Individuals: 9$ For Businesses: 19$, 29$, 49$

2# Oktopost – Social Media Management aimed atB2B Marketing Ocktopost is a social media management tool which is specifically design…

The future is AI and Digital Marketing – Learn it NOW to become successful !

The digital world has arrived.  We invite you to learn what is required in the digital world. For this is something we all need to know to succeed in the new world we inhabit.



The technical world is moving towards Artificial Intelligence (AI), Natural Language Processing (NLP), machine learning, and chatbots. This is why it is important to know all about this technology is, where it’s going, and what impact it will have on digital marketing as a whole.


What is AI
AI is the concept of machines undertaking tasks in a way that we humans would consider intelligent. Or AI is when a machine can undertake a task as well, if not better than a human would.

Machine learning is a subset of AI, whereby we provide a machine with data and it then learns on its own. Instead of being programmed to do something, machines are given the information they need to do it themselves. So, machine learning is one of the applications that is driving AI development. Here, it is crucial that we get the machine learni…

AI and the tools it creates in the digital world to enable all to succeed

AI is here to stay and there are many tools making use of it. 

Let us understand and Explore the power of AI.

There’s a lot of hype surrounding artificial intelligence (AI) and machine learning, but there’s no denying the technologies are going to shape the future of marketing. In fact, they’re already powering most of the tools we use today – even if we don’t realise it.

Google, Facebook and just about every platform we use to connect with consumers are knee-deep in these technologies and the list of marketing AI tools is rapidly growing. We show you some tools that make complete use of AI


#1: Import.io Import.io allows you to import data from any web page, even if the data you’re after is hidden behind login forms or other elements. You can then compile this data into spreadsheets, visualisations or machine learning algorithms. With this data on your side, you can do anything from competitor price research to analysing all of your customer reviews to pinpoint the most important areas for …




Connect us with