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What does the future hold?

Five things to look for in machine learning

James Wilson
© Shutterstock / buffaloboy  

When we are talking about the progress of machine learning, researchers have come a long way. But what does the future hold? James Wilson goes over some things you should keep an eye on.

The main objective of machine learning is to create a brain like the one that human possesses, almost. It relies on the principle of learning patterns or like gaining knowledge from empirical experiences to come up with similar new results. It involves many research fields like computer science, function approximation, statistics, control theory, optimization, computational theory, decision theory, and experimentation.

In one of the studies it was found that by 2020, almost around 57% of buyers will depend on companies that can predict their buying nature or what they possibly can think of buying next. Call it a prophecy that the consumers are waiting for and here is where AI gets introduced to keep your share of customers.

 

 

How far has the machine learning technology come?

When we are talking about the progress of machine learning, researchers have come a long way. A number of different driving platforms have come in fronts such as deep learning, adversarial learning, reinforcement learning, dual learning, distributed learning, transfer learning, and meta-learning. Out of all, deep learning has seen the light of day in many nations. The entire world is focusing on deep learning due to many reasons including the following:

  1. It is based on multi-layered nonlinear neural networks.
  2. It has the ability to learn from raw data
  3. It can extract as well as abstract features from different layers to produce results like regression, ranking or classification.
  4. It has made some ground-breaking progress in computer vision, natural language and processing and in some way has also surpassed the human level.
  5. Machine learning was able to do all this because of big data, big computing, and a big model.

Now the question is what will be the future of machine learning, and which of them we must be following? Here are five of the many, that can come up with some groundbreaking innovations in the future of machine learning.

SEE ALSO: SaaS as a balancing act between machine learning and data protection

1. The unsupervised improved algorithms

In an interesting method of predictions, unsupervised algorithms are built, which extracts inputs from the data-sets in case only input data is available. Such advancement in machine learning will simply result in better, faster and more accurate predictions.

2. When personalization is enhanced

This algorithm is used to come up with automatic recommendations to users and influence or entice them to come up with certain actions. This smart algorithm synthesizes the information in data and comes up with conclusions, like a user’s interest. It would be able to deduce a user’s browsing activity and will discover that the user seems to be interested in buying certain items. Turning this data into offers will bring success in a massive way.

3. The adaption of quantum computing

The vision is to integrate quantum computers into machine learning, which will lead to faster data processing and will accelerate the possibility of synthesizing information and insights.

4. The improvised version of cognitive services

This gives the “senses” to our apps. With every coming day, the technology is advancing in developing a smart application that can hear, speak and see. The cognitive comes with a set of SDKs, services and APIs that will allow the developers to include intelligent capabilities in their apps.

The future will let your apps speak, see, hear or even reason with whatever it feels. Seems like a companion in the process.

5. The era of robots

We have come a long way since the first robot was brought into our lives. Machine learning is becoming sophisticated day by day, and this will help the developers to robotize a larger scale of duties and task.

It will let the robots to see better than before, and learn much efficiently than now. The tasks done by them will be more promising.

Source: https://images.app.goo.gl/L8p1neGnT32ArxPy8

Did you know that there is a non-profiting organization known as Open-AI in the field of Artificial Intelligence that aims to develop and promote friendly AI that would benefit humanity primarily? They are using machine learning to cope up the problems like climate change, or imparting education the world and curing diseases in a short span of time. They are gaining success and why would not they? Elon Musk is one of the founders, and his reputation is simply unquestionable.

Conclusions

Machine learning has some great future in vision. A lot can be done, and so much of efforts are put up, to achieve a point where knowledge would be the sole survivor of every human. The word impossible might get rooted in our civilization. The above 5 predictions are just a scratch on the surface.

Stretch your arms for the future, it will be a glorified world with unimaginable capabilities.

Author
machine learning

James Wilson

Hi, I am James Wilson, I love writing on various topics, be it a technical related to Xamarin app development or non-technical like sharing my experience on how to manage both home and work at the same time. I have started out as a quality analyst and moved onto business analysis, where I discovered my passion for information architecture, wire frames, and user experience. I have solid experience in business analysis and am now interesting myself in day researching rapid prototyping methods.


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