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Elon Musk AI Text Generator with LSTMs in Tensorflow 2
In this article, you will create an AI that would generate text based on Elon Musk's previous Twitter postings.
Guest Blog 30 Oct, 2024
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Machine Learning in Cyber Security — Malicious Software Installation
Understand how Machine learning in Cyber Security works by detecting Malicious Software Installation in this article using python.
Guest Blog 16 Sep, 2020
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Introduction to Seq2Seq Models
The Seq2Seq( sequence to sequence) model is a special class of RNNs used to solve complex language problems.
Guest Blog 01 May, 2025
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Top 4 Sentence Embedding Techniques using Python
Sentence embedding techniques represent entire sentences and their semantic information, etc as vectors. Let us have a look at the top ones
Purva Huilgol 01 May, 2025
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Information Retrieval using word2vec based Vector Space Model
Learn Information Retrieval, Vector Space Model and Mean Precision Average. Use word2vec on an Information Retrieval project based on a vector space model.
Abhishek Sharma 23 Oct, 2024
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How to Use Texthero to Prepare a Text-based Dataset for Your NLP Project
Texthero is a simple Python toolkit that provides quick and easy tools to let you preprocess, represent, map into vectors and visualize text data.
Guest Blog 16 Aug, 2020
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People to Follow in the field of Natural Language Processing (NLP)
In this article we will look at the people one should follow in NLP. We will be discussing the most prominent nlp researchers and their contributions.
Abhishek Sharma 16 Aug, 2020
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Build a Natural Language Generation (NLG) System using PyTorch
Understand NLG concepts such as dataset preparation, how a neural language model is trained, and finally Natural Language Generation process in PyTorch.
Prateek joshi 04 Aug, 2020
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How Part-of-Speech Tag, Dependency and Constituency Parsing Aid In Understanding Text Data?
Delve into the depths of POS tagging and its applications in language processing. Strengthen your grasp on NLP fundamentals. Read Now!
Abhishek Sharma 12 Nov, 2024
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MobileBERT: BERT for Resource-Limited Devices
MobileBERT introduces bottlenecks in the transformer blocks, which allows us easily to distill the knowledge from larger teachers into smaller students.
Guest Blog 28 Jul, 2020
