Category: Machine Learning

The Key to Smarter Web Personalisation Without Forgetting

With the exponential growth of data available on the web, user interests are constantly evolving. From discovering new hobbies to seasonal shopping patterns, web personalisation systems need to adapt quickly — without losing track of what users loved yesterday. However, most machine learning models, especially neural networks, tend to forget what they learned before when…

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How Augmented Analytics is Transforming Business Operations

How Augmented Analytics is Transforming Business Operations Introduction Augmented analytics is a data analytics approach that uses machine learning and natural language processing to automate the analytics processes typically done by a specialist or a data scientist. Augmented analytics relieves the dependence on data analysts or scientists by automating insights generation within a business using…

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The Power of Real-Time Analytics: How Businesses are Leveraging Data in Real-Time

The Power of Real-Time Analytics: How Businesses are Leveraging Data in Real-Time Introduction Real-time analytics is a rapidly growing field that allows organisations to process and analyse data as it is generated, providing insights that can be used to improve performance, optimise operations and make data-driven decisions. As the amount of data generated by businesses…

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Must Have Performance Metrics for Startups

Must Have Performance Metrics for Startups Introduction You know the feeling if you have spent time in a startup office. It is full of people sitting at their desks, laptops open, and phones pressed to their ears as they try to convince customers to buy their products. You’d think being surrounded by so many people…

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Key Challenges to Machine Learning Adoption

Key Challenges to Machine Learning Adoption Introduction Machine Learning (ML), at its core, is an algorithm that can learn from data. Leading companies in the market are using Machine Learning to understand and monitor consumer behaviour, business processes, and keep track of the competition. As such, it has many applications in many fields. It can…

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Key Stages of Machine Learning Life Cycle

Key Stages of Machine Learning Life Cycle Introduction Machine learning is a field of computer science that deals with developing and implementing algorithms that can learn from data. Machine learning is related to computational statistics, which also focuses on prediction-making through the use of computers. Subfields of machine learning include artificial intelligence, which involves using…

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