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2022-11-26
2 mins read A couple of years ago I completed Deep Learning Specialization taught by AI pioneer Andrew Ng. I found this series […]
2022-05-11
Categories
17 mins read In general, perplexity is a measurement of how well a probability model predicts a sample. In the context of Natural Language Processing, […]
2022-05-10
9 mins read In this article, you will learn about GloVe, a very powerful word vector learning technique. This article will focus on […]
2022-05-09
15 mins read This article is going to be about Word2vec algorithms. Word2vec algorithms output word vectors. Word vectors, underpin many of the […]
2022-04-09
32 mins read This year, we saw a dazzling application of machine learning. The OpenAI GPT-2 exhibited an impressive ability to write coherent and passionate […]
2022-03-23
43 mins read We’ve been hearing a lot about Transformers and with good reason. They have taken the world of NLP by storm […]
2022-03-08
48 mins read Few areas of AI are more exciting than NLP right now. In recent years language models (LM), which can perform […]
2022-02-28
Categories
6 mins read Term Frequency – Inverse Document Frequency (TF-IDF) is a widely used statistical method in natural language processing and information retrieval. […]
2022-02-23
14 mins read For decades, Statistical Machine Translation has been the dominant translation model, until the birth of Neural Machine Translation (NMT). NMT is an […]
2022-01-23
22 mins read In this article, I will be covering the main concepts behind Attention, including the implementation of a sequence-to-sequence Attention model, […]
2022-01-23
10 mins read What do BERT, RoBERTa, ALBERT, SpanBERT, DistilBERT, SesameBERT, SemBERT, SciBERT, BioBERT, MobileBERT, TinyBERT and CamemBERT all have in common? And […]
2021-11-15
Categories
16 mins read Introduction Naïve Bayes algorithm is a supervised classification algorithm based on the Bayes theorem with strong (Naïve) independence among features. In machine learning and data […]
2021-11-09
17 mins read The year 2018 has been an inflection point for machine learning models handling text (or more accurately, Natural Language Processing […]
2021-11-08
11 mins read Progress has been rapidly accelerating in machine learning models that process language over the last couple of years. This progress […]
2021-11-08
29 mins read Sequence-to-sequence models are deep learning models that have achieved a lot of success in tasks like machine translation, text summarization, […]
2021-08-22
39 mins read Introduction Recurrent Neural Networks (or more precisely LSTM/GRU) have been found to be very effective in solving complex sequence-related problems […]
2021-07-08
24 mins read I find the concept of embeddings to be one of the most fascinating ideas in machine learning. If you’ve ever […]
2019-08-24
Categories
22 mins read Word embedding is one of the most popular representations of document vocabulary. It is capable of capturing the context of […]
2019-08-19
27 mins read A powerful and popular recurrent neural network is the long short-term model network or LSTM. It is widely used because […]
2019-08-15
Categories
37 mins read In this post, I provide three useful resources for understanding LTSMs. Introduction Sequence prediction problems have been around for a […]