Technical posts on data science, Python, AI, machine learning and blockchain.
Machine learning, artificial intelligence and blockchain are all the rage in the tech world today. Data Scientist has written a number of technical posts on these topics. We have compiled a list of the most popular ones below.
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…
T-test: The most popular hypothesis test In today’s data-driven world, data is generated and consumed on a daily basis. All this data holds countless hidden ideas and information that can be exhausting to uncover. Data scientists commonly approach this problem using statistics to make educated guesses about data. Any testable 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…
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…
Handling frequency in machine learning One of the trickiest situations in machine learning is when you have to deal with datasets coming from different time scales. Let’s say, for example, that you are handling financial data, and some of the data comes at a monthly frequency (e.g. sales reports), and Read more…
Solving machine learning problems Solving a machine learning problem can be a daunting affair for beginner data scientists. There are simply so many algorithms to choose from! Simply go to scikit-learn‘s page and you are already overwhelmed by all the options! One of the main challenges is that if you Read more…
Artificial Intelligence is eating the world Technological advancement and digital innovation in the last few years have been instrumental in defining the success of businesses. Artificial Intelligence (AI) has made a huge impact in the world of business in the last decade, as one of the best ways of making Read more…
Problems in statistics Something which often frustrates me is seeing how many statistical models are wrong. I am referring to scientific journals, but also commercial models. Something which you’re going to ask me is what I mean “wrong”. Some might argue that models can’t be wrong or right. They simply Read more…
Getting started with anomaly detection Anomaly detection is one of the most interesting applications in machine learning. While anomaly detection can be done in a both supervised and unsupervised manner, in most cases, it is done through unsupervised algorithms. One of the best ways to get started with anomaly detection 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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