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Abhijeet Goel

Individual Conditional Expectation(ICE) in Structured Classification

In the previous article, we discussed partial dependence plots and their working. In this article, we will discuss Individual Conditional Expectation(ICE). Similar to Partial Dependence Plots, Individual Conditional Expectation is also a model visualization technique. Drawbacks of Partial Dependence Plots Before jumping into the ICE let us discuss the

Tesla Car Crash in Autopilot Mode

Tesla Car Crash in Autopilot Mode

Machine learning is one field that has grown exponentially over the last decade creating a large pool of opportunities and solving real-world problems. Companies have started adopting machine learning practices in their existing systems. Machine learning has many use cases from image classification, Natural Language Processing(NLP) to house price

Career opportunities in Data Science

Career opportunities in Data Science

Data science is just not a concept for the future but, it is our present now and we heavily depend on it. Data science has been there since the 1990s, but its value was understood only when businesses and companies were unable to use the enormous amount of data for

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Disaster due to untested Data and ML Model

Machine learning has been impacting a business revenue in a huge way, be it a top product-based company like Netflix where a recommondation system is worth $1 Billion, or any medium-scale company where machine learning models play a vital role in business decisions. By knowing its contribution towards revenue, should

Accumulated Local Effects (ALE) Plot in Audio Classification

Accumulated Local Effects (ALE) Plot in Audio Classification

Model explainability refers to the concept of being able to understand the machine learning model. Being able to interpret a model increases trust in AI. There are two ways to interpret a model i.e. Global vs Local Interpretation. Global interpretation helps us in understanding how a model makes decisions

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Gradient-based Model Explainability Technique, GradCAM, for Object Detection Models

Image Analysis is one of the most demanding tools to achieve automation in various sectors. Image Classification, Captioning, Detection, Segmentation, etc., are very crucial in various demanding technologies like self-driving cars. These image analysis tools are very crucial in today's HITECH world. Inside Image analysis software contains algorithms

LIME For Regression Problems

LIME For Regression Problems

LIME stands for Local Interpretable Model Agnostic Explanations. Lime is one of the techniques of visualization that helps to explain individual predictions with model interpretability. Now, let's look what LIME means.. Local surrogate models are interpretable models used to explain individual predictions of black box models in machine