Machine Learning: Natural Language Processing in Python (V2) How to convert text into vectors using CountVectorizer, TF-IDF, word2vec, and GloVe . How to implement a document retrieval system / search engine / similarity search / vector similarity similarity . Probability models, language models and Markov models are models (prerequisite for Transformers, BERT, and GPT-3) How-to implement a cipher decryption algorithm using genetic algorithms and language modeling . How-How-to-implement spam detection and how-to implement an article spinner . What you’ll learn in Machine Learning
What you’ll learn in Machine Learning: All-natural Language Processing in Python (V2)
- Exactly how to convert message into vectors making use of CountVectorizer, TF-IDF, word2vec, and GloVe
- Exactly how to carry out a record access system/ internet search engine/ similarity search/ vector similarity
- Possibility versions, language designs and also Markov models (requirement for Transformers, BERT, as well as GPT-3)
- Exactly how to implement a cipher decryption formula making use of hereditary algorithms and language modeling
- Exactly how to implement spam discovery
- How to apply belief analysis
- Exactly how to implement a short article rewriter
- Exactly how to execute text summarization
- Just how to carry out hidden semantic indexing
- Exactly how to execute subject modeling with LDA, NMF, and SVD
- Artificial intelligence (Ignorant Bayes, Logistic Regression, PCA, SVD, Unrealized Dirichlet Allowance)
- Deep understanding (ANNs, CNNs, RNNs, LSTM, GRU) (more vital prerequisites for BERT as well as GPT-3)
- Hugging Face Transformers (VIP only)
- Exactly how to make use of Python, Scikit-Learn, Tensorflow, +Much More for NLP
- Text preprocessing, tokenization, stopwords, lemmatization, and also stemming
- Parts-of-speech (POS) tagging as well as named entity acknowledgment (NER)
Description
Hey there friends!
Welcome to Machine Learning: Natural Language Handling in Python (Version 2).
This is a huge 4-in-1 course covering:
1) Vector designs as well as message preprocessing approaches
2) Chance versions and also Markov versions
3) Machine learning methods
4) Deep knowing and semantic network techniques
Who this course is for:
- Anyone who wants to learn natural language processing (NLP)
- Anyone interested in artificial intelligence, machine learning, deep learning, or data science
- Anyone who wants to go beyond typical beginner-only courses on Udemy
| File Name : | Machine Learning: Natural Language Processing in Python (V2) free download |
| Content Source: | udemy |
| Genre / Category: | Development |
| File Size : | 2.04 gb |
| Publisher : | Lazy Programmer Inc. |
| Updated and Published: | 07 Jul,2022 |
