tf.function is a decorator function provided by Tensorflow 2.0 that converts regular python code to a callable Tensorflow graph function, which is usually more...
10 min
Compare the popular deep learning frameworks: Tensorflow vs Pytorch. We will go into the details behind how TensorFlow 1.x, TensorFlow 2.0 and PyTorch compare...
4 min
For-loop is a type of loop, that iterates over an iterable object or simply a range of values. It executes some user-defined logic in...
6 min
DataFrame is a 2 dimensional mutable data structure, that is used for handling tabular data. Unlike Arrays and Matrices, a DataFrame can hold columns...
10 min
K-Means Clustering is an unsupervised learning algorithm that aims to group the observations in a given dataset into clusters. The number of clusters is...
Julia is a high performance, high-level programming language. It is very popular because of its high speed, machine learning packages and its expressive syntax....
24 min
Vector Autoregression (VAR) is a forecasting algorithm that can be used when two or more time series influence each other. That is, the relationship...
11 min
Mahalanobis distance is an effective multivariate distance metric that measures the distance between a point and a distribution. It is an extremely useful metric...
13 min
Principal Components Analysis (PCA) is an algorithm to transform the columns of a dataset into a new set of features called Principal Components. By...
17 min
Python’s Scikit Learn provides a convenient interface for topic modeling using algorithms like Latent Dirichlet allocation(LDA), LSI and Non-Negative Matrix Factorization. In this tutorial,...
10 min
NumPy is the backbone of data science in Python. This tutorial covers arrays, indexing, reshaping, and random numbers — all the basics you need...
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