Machine Learning: Natural Language Processing in Python (V2) free download
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 discover in Machine Learning: Natural Language Handling in Python (V2)
- Just how to convert message into vectors utilizing CountVectorizer, TF-IDF, word2vec, and also GloVe
- How to implement a document retrieval system/ online search engine/ resemblance search/ vector resemblance
- Possibility designs, language models and also Markov versions (requirement for Transformers, BERT, and also GPT-3)
- How to implement a cipher decryption formula making use of genetic formulas as well as language modeling
- Just how to execute spam detection
- Just how to carry out sentiment evaluation
- Exactly how to carry out a post spinner
- Exactly how to apply message summarization
- Just how to implement concealed semantic indexing
- How to implement subject modeling with LDA, NMF, and SVD
- Machine learning (Naive Bayes, Logistic Regression, PCA, SVD, Concealed Dirichlet Allotment)
- Deep knowing (ANNs, CNNs, RNNs, LSTM, GRU) (more important Requirements for BERT and also GPT-3)
- Hugging Face Transformers (VIP only)
- Just how to utilize 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 recognition (NER)
Description
Hello friends!
Invite to Artificial Intelligence: All-natural Language Handling in Python (Version 2).
This is an enormous 4-in-1 course covering:
1) Vector designs and text preprocessing techniques
2) Chance models and also Markov models
3) Machine learning methods
4) Deep learning 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 : | 1.44 gb |
| Publisher : | Lazy Programmer Inc. |
| Updated and Published: | 07 Jul,2022 |