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Word embeddings are techniques used in natural language processing. This includes tools & techniques like word2vec, TD-IDF, count vectors, etc. Explore Now!
Learn about transfer learning, pre-trained models, their benefits, usage, fine-tuning techniques, and projects for identifying digits.
This article helps us understand working of machine learning algorithms using LIME package. Using LIME, you can understand working of black box ML models.
This analytics industry report highlights trends and salaries in Indian industry. Insights like salary by skills, location, experience & background
A comprehensive guide explaining linear algebra, matrices, their use to solve linear equations and their application in data science & data scientists
25 terms to explain the basics of neural networks, deep learning, Convolutional Neural Network, Recurrent Neural network & gradient descent in data science
The difference in CPUs & GPUs to help you understand the application of GPUs in training deep learning models in data science. Brief history of GPUs.
ElasticSearch and Kibana is a highly scalable and open source. This tutorial will help you perform exploratory data analysis using ElasticSearch and Kibana.
PyData 2017 held in Amsterdam includes talks on machine learning, deep learning and NLP. The content involved applications, tools and hands-on sessions.
Here is exlcusive interview with Deepak Vadithala, Lead data engineer & Qlikview Luminary. Read complete story of Deepak & his journey in data science.
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