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An introduction to neural networks. Understand the math behind convolutional neural networks with forward and backward propagation & Build a CNN using NumPy.
Analyze humongous amounts of data and scale up your machine learning project using Spark SQL. Learn abot catalyst optimizer, Spark SQL and how it works.
We address one key component of designing an offline evaluation environment - creating a test set to evaluate machine learning performance.
Network analysis is a useful technique to analyze and gain insights from. We will learn the concept of network analysis python and apply it on IPL 2019 data
An introduction to activation functions. Article describes when to use which type of activation function and fundamentals of deep learning.
This article explores 3 nlp libraries for Indian languages- iNTLK, Indic NLP library, StanfordNLP. Learn nlp for indian languages and how to work with it
This article presents two interesting methods of dealing with class sensitivity in a classification problem in the space of machine learning.
Can you predict your next friend request on Facebook? Here is an introduction on link prediction and learn about link prediction in social networks.
Learn computer vision with the collection of the top resources for computer vision. This learning path is helpful to master computer vision.
Start working on these 30 challenging data science open source projects to try in 2020. From NLP to CV, these data science projects cover a lot.
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