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The possibilities for machine learning are vast and over time it will result in smarter technology that has the accuracy of a computer and the adaptability of the most intelligent human beings. Self-driving cars, speech recognition and facial recognition are just the beginning of Machine learning. It will results in great new applications that are currently hard to imagine.

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Saby on Machine Learning

Saby on Machine Learning

Quantiful uses machine learning to deliver real time, dynamic, personalisation, predictive analytics and business insights. Saby Upadhyay, a leading expert in machine learning, tells us about the future of business and the role machine learning will play in getting us there.Machine learning is about creating algorithms and systems that can learn from the data they process and analyse. The more data is processed, the better the algorithm will become. It is actually a science of getting computers to act without explicitly being programmed and is a branch of Artificial Intelligence (AI). AI is a scientific discipline to find patterns, extrapolate answers and make predictions using algorithms and computational techniques. The potential of Machine learning for businesses is enormous. It will allow computers to become fundamentally different and more powerful than we are used to today, resulting in fascinating new applications.

The major difference from data mining is that data mining finds patterns for humans to understand and use and machine learning uses those patterns to improve its own program and understanding. A concreteexample is that of your Facebook newsfeed, which offers better-targeted ads when you like something or write something on your wall.Automated Recommendation Engine

So, how could your business use Machine learning? Well there are several possibilities. First of all, Machine learning can help you optimizeyour Search Engine Optimization (SEO). For those organisations that offer websites with continuously changing content, Machine learning can be used to effectively monitor search engine algorithms actions in order to understand the impact of changing content. Secondly, Machine-learning algorithms are often used in recommendation engines.They help to improve the recommending of the right products to the right customer at the right moment. It is also usedin the medical industry where health organisations use machine learning to help identify the symptoms a patient has in order to help the doctor correctly diagnose a patient and provide the correct medicines.

The possibilities for machine learning are vast and over time it will result in smarter technology that hasthe accuracy of a computer and the adaptability of the most intelligent human beings. Self-driving cars, speech recognition and facial recognition are just the beginning of Machine learning. It will results in great new applications that are currently hard to imagine.


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