Niranjan KumarinTowards AIAutomate Machine Learning using Databricks AutoML — A Glass Box Approach and MLFLow13 min read·Jun 11, 2021----
Niranjan KumarinDataDrivenInvestorIntroduction to Spark with Python: Spark Architecture and Components Explained in DetailSpark explained for beginners — ELI511 min read·May 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.8 min read·Mar 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 NLP13 min read·Mar 16, 2020--1--1
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.6 min read·Jan 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.10 min read·Dec 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.3 min read·Dec 28, 2019----
Niranjan KumarinTowards Data ScienceRecurrent Neural Networks (RNN) Explained — the ELI5 waySequence Labeling and Sequence Classification using RNN8 min read·Nov 16, 2019--3--3
Niranjan KumarinTowards Data ScienceIntroduction to Sequence Modeling ProblemsTask of predicting what word comes next?6 min read·Oct 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.10 min read·Oct 21, 2019--6--6
