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Getting into Deep Learning? Here are 5 Things you Should Absolutely Know

Analytics Vidhya

Starting your Deep Learning Career? Deep learning can be a complex and daunting field for newcomers. The post Getting into Deep Learning? Concepts like hidden layers, convolutional neural networks, backpropagation. Here are 5 Things you Should Absolutely Know appeared first on Analytics Vidhya.

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Optimization Essentials for Machine Learning

Analytics Vidhya

Overview There are 4 mathematical pre-requisite (or let’s call them “essentials”) for Data Science/Machine Learning/Deep Learning, namely: Probability & Statistics Linear Algebra Multivariate Calculus Convex Optimization Introduction In this article, we are going to discuss the following questions: Why should I bother about Optimization (..)

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Applying Occam’s razor to Deep Learning

KDnuggets

Finding a deep learning model to perform well is an exciting feat. A simple complexity measure based on the statistical physics concept of Cascading Periodic Spectral Ergodicity (cPSE) can help us be computationally efficient by considering the least complex during model selection.

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Creating a Simple Z-test Calculator using Streamlit

Analytics Vidhya

Statistics plays an important role in the domain of Data Science. It is a significant step in the process of decision making, powered by Machine Learning or Deep Learning algorithms. One of the popular statistical processes is Hypothesis Testing having vast usability, not […].

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SiftSeq: Classifying short DNA sequences with deep learning

Insight

In this post, I demonstrate how deep learning can be used to significantly improve upon earlier methods, with an emphasis on classifying short sequences as being human, viral, or bacterial. As I discovered, deep learning is a powerful tool for short sequence classification and is likely to be useful in many other applications as well.

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A Practitioner’s Guide to Deep Learning with Ludwig

Domino Data Lab

New tools are constantly being added to the deep learning ecosystem. For example, there have been multiple promising tools created recently that have Python APIs, are built on top of TensorFlow or PyTorch , and encapsulate deep learning best practices to allow data scientists to speed up research.

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5 Super Cheat Sheets to Master Data Science

KDnuggets

The collection of super cheat sheets covers basic concepts of data science, probability & statistics, SQL, machine learning, and deep learning.