Top 30 most important SQL Queries for beginners
If you are a beginner in SQL and want to learn it in depth for data science then read these questions which can help you better understanding and thought process. Retrieving Data From All Columns This is a very basic query to display all data from a table. Notice that this query only has one…
Singular value decomposition (SVD)
Singular value decomposition (SVD) unsupervised generative method is considered an algebra-driven tool for decomposing a data matrix, X, to extract its singular values Σ. The singular values, Σ, and eigenvalues, Λ, play a substantial role in model reduction, where the reduced version of the data is the result of transforming the original data from one…
Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data
Looking for a machine learning cheat sheet? Look no more. Here is a compilation that you can use on your day by day. Array sorting algorithms Big-O complexity chart Python for Data Science Cheat Sheet – PySpark Basics Data Visualization with ggplot2 Python for Data Science Cheat Sheet – Matplotlib Python for Data Science Cheat…
When does Vanishing Gradients occur?
Vanishing Gradient occurs when the derivative or slope becomes smaller as we go backward layer by layer during backpropagation. When weights update is small the training time takes long; this may even bring to a complete halt the neural network training. Vanishing Gradient: with sigmoid and tanh activation fn, as the derivatives of sigmoid and…
Book: Introduction to Scientific Programming with Python
This book introduces programming for scientific and computational applications using the Python programming language. The presentation style is compact and example-based, making it suitable for students and researchers with little or no prior experience in programming. The book uses relevant mathematics and natural science examples to present programming as a practical toolbox that can quickly…
Top Machine Learning Algorithms
Top machine learning algorithms and tasks.
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