NLP Roadmap 2022 with free resources.
This is what you need to build real-world NLP Projects and a Good Foundation. A Thread ๐งต๐
This is what you need to build real-world NLP Projects and a Good Foundation. A Thread ๐งต๐
๐ Task:
๐ Build Text Classification model using algorithms like Logistic Regression, Random Forest, Xgboost, etc., and features from Count Vector, TFIDF, and Word2Vec.
youtu.be
๐ Build Text Classification model using algorithms like Logistic Regression, Random Forest, Xgboost, etc., and features from Count Vector, TFIDF, and Word2Vec.
youtu.be
๐ฏ Learn Neural Networks and Deep Learning (Irrespective of whether you want to learn NLP or Computer Vision)
Try Hands-on with Pytorch or Tensorflow.
๐ฏ Information Extraction (Use Spacy):
๐ POS tagging
๐ Dependency parser
๐ Named Entity Recognition
Try Hands-on with Pytorch or Tensorflow.
๐ฏ Information Extraction (Use Spacy):
๐ POS tagging
๐ Dependency parser
๐ Named Entity Recognition
๐ฏ Transfer Learning and Transformers Overview:
๐ Read about Transfer Learning and Transformers Architecture.
๐ Learn to use a pre-trained model from Hugging Face Transformers.
#transferlearning
youtu.be
๐ Read about Transfer Learning and Transformers Architecture.
๐ Learn to use a pre-trained model from Hugging Face Transformers.
#transferlearning
youtu.be
๐ Learn How to fine-tune transformer models like BERT on Custom Dataset.
๐ Learn How to push fine-tuned model to the hugging face model hub and load it into your deployment environment
@huggingface #transformers
youtu.be
๐ Learn How to push fine-tuned model to the hugging face model hub and load it into your deployment environment
@huggingface #transformers
youtu.be
๐ฏ Deploy Machine Learning Model:
๐ Integrate your NLP ML model into Streamlit and deploy it on the Streamlit cloud (or Heroku)
youtu.be
๐ Integrate your NLP ML model into Streamlit and deploy it on the Streamlit cloud (or Heroku)
youtu.be
๐ Generate Sentence Embedding using Sentence Transformers (Text Representation).
๐ Use Sentence embedding for clustering documents, semantic search, etc.
youtu.be
๐ Use Sentence embedding for clustering documents, semantic search, etc.
youtu.be
๐ Build a classification model using Sentence Transformers' features and fit it to algorithms like Random Forest and Xgboost.
youtu.be
youtu.be
๐ Integrate GPT-3 Prompt into code.
youtu.be
youtu.be
๐ Fine-tune GPT-3.
youtu.be
youtu.be
๐ฏ Solve popular NLP Tasks:
1. Text Classification.
2. Sentiment Analysis (Aspect Based Sentiment Analysis).
3. Document Clustering.
4. Topic Modeling.
5. Named Entity Recognition.
1. Text Classification.
2. Sentiment Analysis (Aspect Based Sentiment Analysis).
3. Document Clustering.
4. Topic Modeling.
5. Named Entity Recognition.
๐ Additionally:
6. Semantic Search.
7. Question Answering.
8. Conversational AI (Chatbot).
6. Semantic Search.
7. Question Answering.
8. Conversational AI (Chatbot).
Loading suggestions...