Niranjan KumarinTowards AIAutomate Machine Learning using Databricks AutoML — A Glass Box Approach and MLFLowJun 11, 2021Jun 11, 2021
Niranjan KumarinDataDrivenInvestorIntroduction to Spark with Python: Spark Architecture and Components Explained in DetailSpark explained for beginners — ELI5May 17, 2021May 17, 2021
Niranjan KumarinTowards Data ScienceIntroduction to Attention Mechanism in Deep Learning — ELI5 WayAttention is all you need. Seq2Seq Models using Attention for Machine Translation.Mar 30, 2020Mar 30, 2020
Niranjan KumarinAnalytics VidhyaText Mining: Extracting and Analyzing all my Blogs on Machine LearningScrapping Data Science Blog Data using Selenium and BeautifulSoup and Analyzing using NLPMar 16, 20201Mar 16, 20201
Niranjan KumarinTowards Data ScienceIntroduction to Encoder-Decoder Models — ELI5 WayDiscuss the basic concepts of Encoder-Decoder models and it’s applications in some of the tasks like language modeling, image captioning.Jan 5, 2020Jan 5, 2020
Niranjan KumarinTowards Data ScienceLong Short Term Memory and Gated Recurrent Unit’s Explained — ELI5 WayIn this post, we will learn the intuition behind the working of LSTM and GRU.Dec 29, 2019Dec 29, 2019
Niranjan KumarMy Guest Blogs on Data Science Published in 2019All my blog posts that are not published in medium but published in other portals (marktechpost) are indexed here.Dec 28, 2019Dec 28, 2019
Niranjan KumarinTowards Data ScienceRecurrent Neural Networks (RNN) Explained — the ELI5 waySequence Labeling and Sequence Classification using RNNNov 16, 20193Nov 16, 20193
Niranjan KumarinTowards Data ScienceIntroduction to Sequence Modeling ProblemsTask of predicting what word comes next?Oct 30, 2019Oct 30, 2019
Niranjan KumarinTowards Data ScienceBatch Normalization and Dropout in Neural Networks Explained with PytorchIn this article, we will discuss the batch normalization and dropout in neural networks in a simple way.Oct 21, 20196Oct 21, 20196