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Data Science Machine Learning

Random Forests: Step by Step

Computer scientist Tin Kam Ho introduced Random Forests in an article back in 1995. Over the years, the algorithm has become very popular for Classification and Regression problems in Machine Learning. Random Forests rank very high up the performance hierarchy. Widely used by data scientists to predict all sorts of scenarios, the combination of multiple […]

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Data Science Machine Learning

Causal Inference

Causal Inference is the study of relationships between cause and effect. The main goal behind the process is to gather observations and determine what caused them, based on the data available. This is possible with the help of experiments and Hypothesis Testing. Causal Inference determines whether the predictive models and decisions really worked. For that […]

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Data Science Machine Learning

Decision-Making

Decision-Making is all about selection of optimal decisions, with the right risk and reward balance, in face of uncertainty. It’s one crucial step of the Machine Learning Process and it’s present in all sorts of areas. Based on previous knowledge of data and predictive models, decisions play a vital part in the business problems solutions. […]

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Data Science Machine Learning

Prediction

The task of Prediction helps answer the question: “what will happen in the future?”. In a way, this is a task of oracles and fortune tellers. However, it’s better to rely on data than magic to predict future outcomes. With that in mind, Prediction becomes a building-block of the whole Machine Learning process. Predict what […]

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Data Science Machine Learning

Understanding Data

Understanding Data is as much science as it’s an art. The science aspect provides the tools to query, slice-and-dice and visualize the data. On the other hand, the art aspect comes in asking the right questions and hypotheses using domain knowledge. It’s undeniable that people can make sense of data in a much better way […]

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Data Science Machine Learning

From Data to Decisions

The world creates over 2.5 quintillion bytes of data every day. Over the last two years alone 90% of all the data was generated. This scenario makes it crucial for businesses and organizations to make sense of all this data. For that purpose, Machine Learning plays a vital role in the task of moving from […]