Machine Learning
Machine Learning And Deep Learning
While Machine Learning and Deep Learning (ML/DL) is often seen as a sub-category of Artificial Intelligence (AI), it would be correct to think of it as the current state-of-the-art of AI – ML is currently showing the greatest potential in providing tools to industries and societies to drive change. Machine Learning is an approach to AI showing great potential when it comes to developing autonomous, self-learning systems which are revolutionising and disrupting many industries.
In the simplest way possible, a Machine Learning algorithm is trained from a specified ‘training set’ of data which is then used as the basis to solve a given problem. An example of this would be when a computer is given a training set of photographs, some which say “this is a flower”, and some which indicate “this is not a flower.” Next you would show the computer a series of new images and it would start to distinguish which photos contain flowers.
Machine Learning continuously adds to its date set by identifying every picture (correctly or incorrectly), essentially becoming ‘smarter’ and more efficient at completing tasks over time. It is, in effect, learning.
Deep Learning (DL), on the other hand, can be considered as the ‘cutting-edge of the cutting-edge.’ Essentially, DL fuses AI’s core ideas and revolves them around solving real-world problems with deep neural-networks designed to mimic our own decision-making. It is easiest to describe Deep Learning as a sub-set which focuses on narrower tools and techniques, applying them to solve just about any problem which requires ‘thought’ – human or artificial.
How can I use it?
Machine Learning and Deep Learning revolves around 'intelligent learning' systems which get smarter over time. The softwares could provide you with endless possibilities such as autonomy, self-learning systems and neural networks. Request your FREE CONSULTATION to learn how our Machine Learning Systems can be implemented into your business strategy.
How We Use Machine Learning & Deep Learning
Data Modelling
Looking at existing data to predict what is likely to occur and what is going to occur
Process Automation
Abolish monotonous tasks in a cost-effective way to optimise work-flow
Computer Vision
Classifying data in a method that is otherwise hugely time consuming and often complicated

Why Is Machine Learning And Deep Learning Being Used?
From our experience, Deep Learning is being constantly implemented into businesses at a significant rate over the last few years which we believe could be to its outstanding ROI capabilities and insights. We come across many shapes and forms of DL on a daily basis. For example, Deep Learning is used by Google in its voice and image recognition algorithms, used by companies such as Netflix and Amazon, to help their users in deciding what to watch or purchase next, and even by researchers at MIT to predict future economic occurrences. By being able to provide powerful and unrivalled insights, predictions and decision making in potentially any industry, ML and DL are considered as invaluable and irreplaceable by many organisations.
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Machine Learning & Deep Learning In Industry
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