Advances in learning theory Vladimir Vapnik recently gave a talk about a new theory of learning he is working on. The theory involves the concept of a “teacher” that provides the learning algorithm with privileged examples that can speed up learning. The inspiration came from the observation that humans require Read more…
Customer churn and data science Customer churn is a major concern for any business. It is the process of customers leaving their service provider for a competitor’s service. This can be due to many different reasons, including financial constraints, poor customer experience, or just general dissatisfaction with the company. Predicting Read more…
Deep learning is one of the favourite themes of this blog. It is the most important and powerful tool in machine learning. It’s responsible for many of the biggest breakthroughs in AI, like facial recognition, language translation, or self-driving cars. The idea behind deep learning is to make it easier Read more…
Modern machine learning algorithms are revolutionizing our daily lives. For instance, large language models like BERT are powering Google Search, and GPT-3 is powering many advanced language applications. Today, building complex machine learning algorithms is easier than ever. However, no matter how complex a machine learning algorithms get, it falls Read more…
Do you want to become data scientist? Do you want to become a data scientist and pursue a lucrative career with a high salary, working from anywhere in the world? I have developed a unique course based on my 10+ years of teaching experience in this area. The course offers Read more…
Matthew’s correlation coefficient: A metric for imbalanced class problems Sometimes in data science and machine learning we encounter problems of imbalanced classes. These are problems when one class might have more instances than another. This makes accuracy a bad metric. If class A shows up 90% in our sample, and Read more…
By Yasmin Chamchoun Best languages for machine learning and data analytics Machine Learning Language can be defined as an application of machine learning for developing predictive models and algorithms that automate reasoning tasks with language data. Machine learning languages are difficult to learn and at times, frustrating. But they are revolutionizing Read more…
In a world that is driven by data and digital transformation it is absolutely vital that businesses have the right infrastructure, data strategy and solution set up early-on. This is where data architecture comes into play. What is Data Architecture? Data Architecture is a significant component required to gather and Read more…
By Yasmin Chamchoun The World Robotics Report released by The International Federation of Robotics in October 2018 revealed that the worldwide sales of robots in the workplace has rocketed in recent years. In 2017, there was $6.6 billion in sales volume in the service robot sector, a sharp increase of Read more…
Gradient boosted trees Gradient boosted trees is one of the most popular techniques in machine learning and for a good reason. It is one of the most powerful algorithms in existence, works fast and can give very good solutions. This is one of the reasons why there are many libraries Read more…
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