Category Archives: Machine Learning

Data Science – Hypothesis Testing Explained with Examples

Hypothesis Testing Workflow

This article represents some of the key statistical concepts along with examples in relation with how to formulate a hypothesis for hypothesis testing. The knowledge of hypothesis formulation and hypothesis testing would prove key to building various different machine learning models. In later articles, hypothesis formulation for machine learning algorithms such as linear regression, logistic regression models etc., will be explained. Please feel free to comment/suggest if I missed mentioning one or more important points. Also, sorry for the typos. Following are the key points described later in this article: What is a hypothesis? How to formulate a hypothesis as Null or Alternate Hypothesis? What is hypothesis testing? What is a …

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12 Most Common Machine Learning Tasks

common machine learning tasks

This article represents some of the most common machine learning tasks that one may come across while trying to solve a machine learning problem. Under each task are also listed a set of machine learning methods that could be used to resolve these tasks. Please feel free to comment/suggest if I missed mentioning one or more important points. Also, sorry for the typos. Following are the key machine learning tasks briefed later in this article: Data gathering Data preprocessing Exploratory data analysis (EDA) Feature engineering Training machine learning models of the following kinds: Regression Classification Clustering Multivariate querying Density estimation Dimensionality reduction Model / Algorithm selection Testing and matching Model monitoring …

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Posted in AI, Big Data, Data Science, Machine Learning. Tagged with , .