Author Archives: Vijaysinh Lendave - Page 21
The autoencoder is a specific type of feed-forward neural network where input is the same as output.
The post Guide to Autoencoders, with Python code appeared first on Analytics India Magazine.
A few days back, a naval architecture was launched, ‘XBNet’, which stands for ‘Extremely Boosted Neural Network’, which combines gradient boosted tree with a feed-forward neural network, making the model robust for all performance metrics.
The post Guide To XBNet: An Extremely Boosted Neural Network appeared first on Analytics India Magazine.
Convolution is the simple application of a filter to an input image that results in activation,
The post What Is A Convolutional Layer? appeared first on Analytics India Magazine.
Data Science being a multidisciplinary area, is not only restricted to creating problem-specific models. One of the challenges faced by people working in this field is deploying any ML model. But nowadays, it is pretty straightforward to deploy or test your machine learning model at the production level. This is an essential step because not…
The post FastAPI vs Flask: Comparison Guide for Data Science Enthusiasts appeared first on Analytics India Magazine.
Generally, when we read a text, we recognize entities straightway like people, values, locations and more. For example, in the sentence “ Alexander the Great, was a king of the ancient Greek kingdom of Macedonia.”, we can identify three types of entities as follows: Person: Alexander Culture: Greek Kingdom: Macedonia We are getting an enormous…
The post How to Identify Entities in NLP? appeared first on Analytics India Magazine.
What do you think should we consider only the accuracy score as a benchmark for our classification task? Many beginners in this field have misunderstood; getting good accuracy for classification models means they have built a perfect model which classifies every instance. Well, you can consider only accuracy as a benchmark for regression problems. For…
The post Python Guide to Precision-Recall Tradeoff appeared first on Analytics India Magazine.
Like binary classification, something like predicting 1 or 0, the patient is diabetic or not diabetic, means predicting two classes, is not the current world scenario. Nowadays, there are N number of categories or classes present if you talk about a particular domain. So to perform classification tasks here, all predictive classification models do not…
The post Guide to Multi-Class Classification appeared first on Analytics India Magazine.
Whenever a data scientist works to predict or classify a problem, they first detect accuracy by using the trained model to the train set and then to the test set. If the accuracy is satisfactory, i.e., both the training and testing accuracy are good, then a particular model is considered for further development. But sometimes,…
The post Understanding Overfitting and Underfitting for Data Science appeared first on Analytics India Magazine.