Machine Learning Natural Language Processing in Python (V2) Free Download. NLP: Use Markov Models, NLTK, Artificial Intelligence, Deep Learning, Machine Learning, and Data Science in Python
Dive into the intricate world of Natural Language Processing (NLP) and unravel the workings of AI technologies like OpenAI ChatGPT, GPT-4, DALL-E, Midjourney, and Stable Diffusion with the “Machine Learning: Natural Language Processing in Python (Version 2)” course. Tailored for individuals with decent Python programming skills and an optional inclination towards understanding the math aspects of AI, this comprehensive 4-in-1 course covers various facets of NLP.
The course unfolds in four parts. Part 1 navigates through vector models and text preprocessing, shedding light on the significance of vectors in data science. It explores techniques like CountVectorizer, TF-IDF, and neural embedding methods, applied to tasks like text classification and summarization. Part 2 delves into probability models and Markov models, essential for tasks ranging from text classification to article spinning and text generation.
Machine Learning Natural Language Processing in Python (V2) Free Download
Part 3 focuses on machine learning methods, emphasizing application over theory in classic NLP tasks such as spam detection and sentiment analysis. It introduces algorithms like Naive Bayes and Logistic Regression as staples in NLP. Finally, Part 4 ventures into deep learning methods, elucidating modern neural network architectures like Feedforward Artificial Neural Networks, CNNs, and RNNs, including LSTM and GRU.
The course stands out with its meticulous code explanations, efficient learning approach, and willingness to tackle university-level math. Whether you are a novice eager to learn NLP or an enthusiast delving into advanced AI concepts, this course offers a robust learning experience, going beyond typical beginner courses on Udemy.
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Machine Learning Natural Language Processing in Python (V2) Download
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