Machine learning is the science of getting computers to act without being programmed.
Machine learning can be used in many different ways, such as: Improving search engine rankings, Improving the quality of online services, Identifying spam messages.
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Artificial intelligence (AI) has widespread applications in the real world, such as healthcare, robotics, autonomous vehicles, retail, eCommerce, etc. Together, AI, machine learning (ML), and deep learning (DL) solve various academic and industrial problems. Due to AI’s accurate predictive capabilities, the use of AI has skyrocketed over the last decade, Read more…
How do developers deploy, automate, and maintain Machine Learning models?
MLOps tells you how, the tools, the features, and the future.
Natural Language Processing (NLP) is the branch of data science primarily concerned with dealing with textual data. It is the intersection of linguistics, artificial intelligence, and computer science. NLP deals with human-computer interaction and helps computers understand natural language better. The main goal of Natural Language Processing is to help Read more…
Solving machine learning problems can be complicated, especially if you’re new to the field. That’s why we’ve created this guide to help you through the process, from deciding which problem to solve to choosing the right tools to do it with and how to validate your results to ensure they’re Read more…
In the era of fast-rising interest in big data, data analysis and artificial intelligence, football stakeholders are also looking to machine learning to enhance the success of football throw-ins. Implementing the best analytical strategy on football data not only improves players’ performance but can also save costs for club investors. Read more…
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…
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…
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…
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