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Reading list

What is NLP? Applications of NLP
Understanding Text Pre-processing Tokenization in NLP Byte Pair Encoding Tokenizer Free Language Modeling with Pixels Stopword Removal Stemming vs Lemmatization Text Mining
Spacy Tutorials Gensim Tutorials
What are Regular Expressions? Regular Expressions
String Similarity
Spelling Correction
Introduction to Topic Modeling Latent Dirichlet Allocation (LDA) Implement Topic Modeling
Introduction to Feature Engineering for Text Data Implement Text Feature Engineering Techniques Introduction to One Hot Encoding Implement One Hot Encoding Limitations of One Hot Encoding Count Vectorizer and TF-IDF Solving Text classification using TF-IDF
Information Retrieval System Explained in Simple terms! How does Google Rank Search Results? Knowledge Graph
Understanding Word2Vec Understanding Skip Gram and Continous Bag Of Words Word2Vec Implementation in Gensim Visualizing Word2Vec
Word Senses and Word Sense Ambiguity
Why Are We Interested in Syntatic Strucure? What is a Dependency Grammar? Neural Dependency Parsing
Introduction to Language Models N-Gram Language Models Neural Language models
Why Sequence models? Usecases of Sequence models Introduction to RNN Implement RNN
Shortcomings of RNN What is Long Short Term Memory (LSTM) Implementing LSTM Build Your Own Fake News Classification Model What is Gated Recurrent Unit (GRU)? Implementing GRU
Introduction to Machine Translation Multilingualism in NLP Drawbacks of Seq2Seq model Mathematical Calculation of Attention
Understand Positional Encoding Introducing Transformers Model Key Query Value Attention in Tranformer Encoder
Pretrained Language Models in NLP Generative Pre-training (GPT) for Natural Language Understanding(NLU) Finetuning GPT-2 Understanding BERT Finetune Masked language Modeling in BERT Implement Text Classification using BERT Finetuning BERT for NER Extensions of BERT: Roberta, Spanbert, ALBER MobileBERT GPT-3 Prompt Engineering in GPT-3 Bigbird T5 and large language models
Implement Question Answering on SQUAD
Text Summarization
Named Entity Recognition (NER) in Python with Spacy
Coreference Resolution
Visualizing Sounds Using Librosa Machine Learning Library! Audio Processing Audio Analysis Audio Classification using Deep Learning
Automatic Speech Recognition Implement Automatic Speech Recognition Can Voice Conversion Improve ASR in Low-Resource Settings?
Audio Separation
Building Chatbots Building Chatbots using Rasa
Automate NLP Tasks using EvalML Library

Launching DataHack Radio – Analytics Vidhya’s Exclusive Podcast Series!

K
Kunal Jain Last Updated : 21 Aug, 2024
2 min read

Introduction

I am incredibly proud to announce the launch of DataHack Radio! This is Analytics Vidhya’s exclusive podcast series which will feature top leaders and practitioners in the data science and machine learning industry.

Machine Learning is a vast and diverse field. Keeping up with all the developments and happenings can often feel daunting. This is why podcasts are a great way of catching up with all that’s going on in the machine learning world. Listen to them when you’re travelling, working on something else, or before you sleep! They save you tons of time and give you invaluable knowledge.

At Analytics Vidhya, we saw there was a need in this area and out of this was born DataHack Radio!

Sounds good! Where can I subscribe?

Good question. Each episode of the podcast will be hosted on three platforms and the links are given below:

In fact, the first two episodes are already available on all these platforms!

Why are we launching DataHack Radio and what can you expect?

I started Analytics Vidhya five years back and in these intervening years, we have grown to become one of the largest data science communities in this world. During this period, I learned a lot from different people including my mentors, various data science leaders, community members and users of our portal.

When I look back, the amount of learning I did by talking to various thought leaders was immense! Sadly this learning was not available in the form of any course or a textbook and we at Analytics Vidhya  hope to provide you with a similar learning and experience through this podcast.

Let me share an example to illustrate what I mean. So back in 2013 one of my mentors told me that figuring out how machine to machine interactions will take place in the future was one of the top three priorities in his mind. This was the time when people were starting to talk about data science and I could not understand why this would be one of the top priorities for a leader like him. Over the next few years, it became much clearer to me why this mentor of mine was thinking about machine to machine interactions back in 2013.

So in every episode of DataHack Radio, we will bring you discussions with one such thought leader in the industry. We will have discussions about their journey, their learnings and plenty of other data science related things. I am sure this will be a lot of fun and full of learning for each of you.

So what are you waiting for? Subscribe NOW and get listening!

Analytics Vidhya podcastdata science podcastDataHack Radiomachine learning podcastpodcast
K
Kunal Jain

Kunal Jain is the Founder and CEO of Analytics Vidhya, one of the world's leading communities of AI professionals.

With over 17 years of experience in the field, Kunal has been instrumental in shaping the global AI landscape. His expertise spans diverse markets, from developed economies like the UK to emerging ones like India, where he has successfully led and delivered complex data-driven solutions. As a recognized thought leader, Kunal has empowered countless individuals to realize their AI ambitions through his visionary approach to AI education and community building.

Before founding Analytics Vidhya, Kunal earned both his undergraduate and postgraduate degrees from IIT Bombay and held key roles at Capital One and Aviva Life Insurance across multiple geographies. His passion lies at the intersection of analytics, AI, and fostering a thriving community of data science professionals.

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Responses From Readers

Clear

Deep Chatterjee
Deep Chatterjee

Thank you AV for starting this amazing and invaluable Podcasts.

123

Subranjit
Subranjit

Please host it on stitcher as well

123

ailobe
ailobe

Really liked the first episode! Thanks very much for your effort. I'm gonna be following this. On a side note: Why not host it youtube, too?

123

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