The K-nearest neighbor (KNN) is a supervised machine learning algorithm. KNN is used mostly to classify data points although it can perform regression as well. The K-Nearest Neighbors Algorithm classify new data points to a particular category based on its similarity with the other data points in that category. The KNN algorithms grab the freedom […]
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This article discusses a couple of machine learning (ML) interview questions asked frequently in data science related job roles. When should we prefer ridge regression over lasso? Explain with reason Ridge regression is a regression in which we use L2 regularization to give a penalty to the loss function to reduce loss in the optimization
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Introduction Hyperparameters are the parameters that are explicitly defined by the user for the machine learning model. This helps the learning process of the machine learning algorithm. The prefix “hyper” in hyperparameter means top-level, indicating these are the controlling parameters to ensure model performance. The user selects the value of the hyperparameter before the training
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This blog is part 5 of machine learning interview questions and answers series. Previous blog article and be found here. What is the need of cross validation in machine learning modeling? Cross validation is used to better utilize the input data to ensure the model performance. The input data will be divided into many subsets
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Technical definition Bias is a systematic error that happens during the machine learning model due to the incorrect assumptions taken during the training process of the machine learning model. Narration Imagine you pick up a group of cats and measure the height and weight of them. You are asked to find the height of another
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An artist is someone who does things in a creative way. Anyone who pursues their passions in a unique way or chooses to travel on difficult paths to reach the undiscovered beautiful destinations of their life are having the aesthetic sense of an artist in themselves. In actual practice, there is nothing original or unique.
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This is one among the series of frequently asked interview questions in machine learning. Concepts are demonstrated with schematics wherever necessary Differentiate between local optimization and global optimization Optimization is a process of assigning a set of inputs to an objective function that can extract the best possible output from the objective function. Local optimization
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This article is a summary of the book titled “Grit: The power of passion and perseverance” written by Angela Duckworth. The author started to think about this topic when she as a teacher of 7th grade noticed why all her students cannot perform well in basic mathematical topics in 7th grade. She started to research
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This article is a summary of the book “The Monk who sold his Ferrari” written by Robin Sharma. The key insights from the book is discussed in this blog post. At times you feel life is no more interesting, material rewards or accomplishments you are receiving are not exciting you anymore. Then, you are at
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The article discusses interview questions asked in many machine learning job roles Explain label encoding and one hot encoding, Explain how the dimensionality of a dataset is affected with these methods in machine learning Machine learning algorithms can understand only numbers. Often, the dataset consists of categorical and numerical features. We need to convert the
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