Code Logic

By Sarvesh Bhatnagar

Code logic is all about logic development and it aims at improving problem solving skills, by listening to this podcast you will get to know how to think and decompose a difficult problem into multipl... more

· Education

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FAQs about Code Logic:

How many episodes does Code Logic have?

The podcast currently has 23 episodes available.

Code Logic episodes:

January 20, 2022 Collocations, Part Two (S3E2)
Hey guys, this is sarvesh again, I hope you enjoyed the recent episodes and as promised, this is another episode for collocation's. These techniques are generally and most commonly used for finding if the words are collocations or not. The generally principle behind this is hypothesis testing. Our null hypothesis being, assumption that the words are not collocations. To find out more, go ahead and listen to the episode.
#NLP #NaturalLanguageProcessing #Learn #Something #New
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8min
January 03, 2022 Collocations, Part One (S3E1)
Hey guys, sorry for the long break. I was working from home and its difficult to record audio at home, anyways I have started the podcast back, I think we will be discussing about word embeddings and other embeddings later because we have a lot to learn before that.
About this episode, this episode focuses about collocations, what comprises of collocations and two methods for collocations the first is based on frequency and second is based on mean and variance. I hope you learn something from this episode and enjoy it. See you in the next episode.
We are starting a fresh, with season 3 because I think we were learning in an unclean manner. I always strive to make good content for my listeners and will try to make it as decent as possible. I might reupload previous episodes again. Good luck, Have fun and happy new year!

#collocations #learn #learnsomethingnew #NLP
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14min
January 13, 2021 Word Embeddings - A simple introduction to word2vec
Hey guys welcome to another episode for word embeddings! In this episode we talk about another popularly used word embedding technique that is known as word2vec. We use word2vec to grab the contextual meaning in our vector representation. I've found this useful reading for word2vec. Do read it for an in depth explanation.
p.s. Sorry for always posting episode after a significant delay, this is because I myself am learning various stuffs, I have different blogs to handle, multiple projects that are in place so my schedule almost daily is kinda packed. I hope you all get some value from my podcasts and helps you get an intuitive understanding of various topics.
See you in the next podcast episode!
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5min
December 22, 2020 Introduction to word embeddings and One hot encoding in NLP
In this podcast episode we discuss about why word embeddings are required, what are they and we also discuss about one hot encodings. In next episode we will talk about specific techniques for word embeddings individually. Stay tuned.
Sponsored by www.stacklearn.org
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3min
December 13, 2020 learn about TF-IDF model in Natural Language Processing
In this podcast episode we will talk about TF-IDF model in Natural Language Processing. TF-IDF model stands for term frequency inverse document frequency. We use TF-IDF model to give more weight to important words as compared with common words like the, a, in, there, where, etc. To learn python programming visit www.stacklearn.org. See you in the next podcast episode!
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2min
October 09, 2020 Bag of Words in Natural Language Processing
In this podcast episode we talk about bag of words model in natural language processing. Bag of Words model is simply a feature extraction method used in NLP. We mainly discuss about why bag of words model is required and what it is. In summary BOW is simply a set of tuples with words along with their frequency pairs.
To learn more about BOW : visit this
Gensim Introduction : visit this
Also, to support me do visit www.stacklearn.org
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5min
September 24, 2020 Review of Preprocessing steps in NLP and More!
In this episode we review preprocessing steps such as making text lowercase, removing unwanted characters and other related cleaning tasks which we have discussed in the previous videos... we also talk about Gensim package in python and how it simplifies preprocessing in Natural language processing
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4min
September 23, 2020 Lemmatization in Natural Language Processing
In this podcast episode we will be talking about Lemmatization in natural language processing. It is a text normalization step which we need to perform to normalize words. Lemmatization improves on shortcomings of Stemming in Natural Language Processing and In this podcast episode we talk about that shortcoming and also how we can use lemmatization using nltk library.
Learn Python: www.stacklearn.org
Python package to save snippets : PyPi - codesnip
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2min
September 17, 2020 Stemming in Natural Language Processing
In this podcast episode we will be talking about stemming in natural language processing. It is a text normalization step which we need to perform to normalize words such that run, runs and running counts the same... stemming involves chopping off affixes such as ing, ly, etc.
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2min
September 14, 2020 Tokenization in Natural Language Processing
In this episode we discuss about tokenization in Natural Language Processing. As discussed in previous episode, tokenisation is an important step in data cleaning and it entails dividing a large piece of text into smaller chunks. In this episode we discuss some of the basic tokenizers available from nltk.tokenize in nltk.
If you liked this episode, do follow and do connect with me on twitter @sarvesh0829
follow my blog at www.stacklearn.org.
If you sell something locally, do it using BagUp app available at play store, It would help a lot.
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3min

FAQs about Code Logic:

How many episodes does Code Logic have?

The podcast currently has 23 episodes available.