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- 【影视】 [ DevCourseWeb.com ] Mastering Natural Language Processing - A Comprehensive Guide
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~Get Your Files Here !/1 - Introduction to NLP/1 - Introduction.mp4 68.7 MB
~Get Your Files Here !/10 - Word2Vec/10 - Word2Vec.mp4 51.6 MB
~Get Your Files Here !/5 - Understanding Parts of Speech Tagging in NLP/5 - Understanding Parts of Speech Tagging in NLP.mp4 51.4 MB
~Get Your Files Here !/6 - Named Entity Recognition/6 - Named Entity Recognition.mp4 30.8 MB
~Get Your Files Here !/4 - Lemmatization/4 - Lemmatization.mp4 28.2 MB
~Get Your Files Here !/2 - Tokenization in NLP/2 - Tokenization in NLP.mp4 27.8 MB
~Get Your Files Here !/7 - Introduction to Spacy/7 - Introduction to Spacy.mp4 24.2 MB
~Get Your Files Here !/9 - Bag of words/9 - Bag of words.mp4 17.7 MB
~Get Your Files Here !/8 - Stops words in NLP/8 - Stops words in NLP.mp4 16.9 MB
~Get Your Files Here !/3 - Stemming in NLP/3 - Stemming in NLP.mp4 12.1 MB
~Get Your Files Here !/1 - Introduction to NLP/1 - EP-81.pdf 647.8 kB
~Get Your Files Here !/8 - Stops words in NLP/8 - EP-88.ipynb 13.2 kB
~Get Your Files Here !/6 - Named Entity Recognition/6 - Ep-86.ipynb 12.5 kB
~Get Your Files Here !/2 - Tokenization in NLP/2 - EP-82.ipynb 6.8 kB
~Get Your Files Here !/7 - Introduction to Spacy/7 - EP-87.ipynb 5.6 kB
~Get Your Files Here !/4 - Lemmatization/4 - EP-84.ipynb 5.2 kB
~Get Your Files Here !/5 - Understanding Parts of Speech Tagging in NLP/5 - Ep-85.ipynb 4.7 kB
~Get Your Files Here !/10 - Word2Vec/10 - EP-90.ipynb 4.7 kB
~Get Your Files Here !/3 - Stemming in NLP/3 - EP-83.ipynb 4.3 kB
~Get Your Files Here !/9 - Bag of words/9 - EP-89.ipynb 3.3 kB
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- 【影视】 Mastering Natural Language Processing (NLP) with Deep Learning
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03. NLP Architectures, Sequence Models, and Transformers/05. Hands-on Transformers.mp4 19.4 MB
02. Natural Language Processing (NLP) Essentials- Exploring Text Data/06. Pretrained Embeddings.mp4 17.3 MB
02. Natural Language Processing (NLP) Essentials- Exploring Text Data/01. Introduction to NLP.mp4 15.7 MB
02. Natural Language Processing (NLP) Essentials- Exploring Text Data/03. Hands-on Preprocessing.mp4 15.3 MB
03. NLP Architectures, Sequence Models, and Transformers/01. Text Classification.mp4 15.1 MB
03. NLP Architectures, Sequence Models, and Transformers/03. Model Evaluation.mp4 11.3 MB
02. Natural Language Processing (NLP) Essentials- Exploring Text Data/04. What Is Word Embedding-.mp4 9.7 MB
03. NLP Architectures, Sequence Models, and Transformers/02. Sequence Models and RNNs.mp4 8.8 MB
03. NLP Architectures, Sequence Models, and Transformers/06. Wrap-up.mp4 8.5 MB
02. Natural Language Processing (NLP) Essentials- Exploring Text Data/02. How to Prepare Text Data.mp4 7.8 MB
03. NLP Architectures, Sequence Models, and Transformers/04. Attention Is All You Need.mp4 7.4 MB
mastering-nlp-deep-learning.zip 5.3 MB
02. Natural Language Processing (NLP) Essentials- Exploring Text Data/07. Limitations and Solutions.mp4 3.1 MB
01. Course Overview/01. Course Overview.mp4 3.0 MB
02. Natural Language Processing (NLP) Essentials- Exploring Text Data/05. Embedding Models.mp4 2.9 MB
03. NLP Architectures, Sequence Models, and Transformers/05. Hands-on Transformers.srt 9.1 kB
02. Natural Language Processing (NLP) Essentials- Exploring Text Data/03. Hands-on Preprocessing.srt 7.5 kB
03. NLP Architectures, Sequence Models, and Transformers/04. Attention Is All You Need.srt 6.7 kB
03. NLP Architectures, Sequence Models, and Transformers/01. Text Classification.srt 5.9 kB
02. Natural Language Processing (NLP) Essentials- Exploring Text Data/06. Pretrained Embeddings.srt 5.6 kB
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- 【文档书籍】 Gazi O. MatLAB Applications for Digital Signal Processing...2024
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Proakis J. Digital Signal Processing 4ed 2006.pdf 118.7 MB
Milic L. Multirate Filtering for Digital Signal Processing. MatLAB Apps 2008.pdf 58.1 MB
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Proakis J. Contemporary Communication Systems Using MATLAB 3ed 2013.pdf 43.1 MB
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Gopi E. Multi-Disciplinary DSP. A Functional Approach Using MatLAB 2018.pdf 9.6 MB
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Gopi E. Algorithm Collections for DiSP Applications Using MatLAB 2007.pdf 5.2 MB
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- 【压缩文件】 [ FreeCourseWeb.com ] Acquisition and Processing of Marine Seismic Data.zip
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[ FreeCourseWeb.com ] Acquisition and Processing of Marine Seismic Data.zip 201.5 MB
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- 【音乐】 Central Processing Unit
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Wang H. Post-Processing Techniques for Metal-Based Additive Manufacturing 2023.pdf 89.8 MB
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- 【影视】 Applied Generative AI and Natural Language Processing with Python
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Chapter 10 Capstone Project Chatbot/002. Webapp Climate Change Chatbot Data Prep (Coding).mp4 128.0 MB
Chapter 02 NLP-Introduction/011. GloVe Word (Coding).mp4 103.0 MB
Chapter 04 Model Finetuning/004. Simple Model (Coding).mp4 86.3 MB
Chapter 02 NLP-Introduction/005. Sentiment OHE (Coding).mp4 84.5 MB
Chapter 02 NLP-Introduction/013. Sentiment with Embedding (Coding).mp4 77.5 MB
Chapter 13 Miscellaneous/004. LLM-Functions (Coding).mp4 75.3 MB
Chapter 05 Vector Databases/006. Bible Vector DB - Data Prep (Coding).mp4 69.2 MB
Chapter 04 Model Finetuning/007. Finetuning Model (Coding).mp4 63.2 MB
Chapter 03 Apply Huggingface for Pre-Trained Models/017. Zero-Shot Text Classification (Coding).mp4 62.6 MB
Chapter 08 Advanced Prompt Engineering/008. Self-Consistency Chain-of-Thought (Coding).mp4 61.1 MB
Chapter 10 Capstone Project Chatbot/004. Webapp Climate Change Chatbot RAG (Coding).mp4 60.9 MB
Chapter 05 Vector Databases/007. Bible Vector DB - Database Handling (Coding).mp4 58.5 MB
Chapter 08 Advanced Prompt Engineering/015. Self-Feedback (Coding).mp4 57.8 MB
Chapter 10 Capstone Project Chatbot/005. Webapp Climate Change Chatbot Webapp (Coding).mp4 57.4 MB
Chapter 08 Advanced Prompt Engineering/005. Chain-of-Thought (Coding).mp4 56.0 MB
Chapter 02 NLP-Introduction/009. GloVe Word Analogy (Coding).mp4 54.4 MB
Chapter 05 Vector Databases/009. Solution Movies Vector DB - Data Prep (Coding).mp4 52.9 MB
Chapter 05 Vector Databases/013. Multimodal Vector DB Setup (Coding).mp4 48.2 MB
Chapter 05 Vector Databases/004. Tokenization (Coding).mp4 48.1 MB
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~Get Your Files Here !/978-3-031-37742-6.pdf 122.2 MB
~Get Your Files Here !/Bonus Resources.txt 386 Bytes
Get Bonus Downloads Here.url 181 Bytes
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- 【其他】 [ DevCourseWeb.com ] PySpark Cookbook - Over 60 recipes for implementing big data processing and analytics using Apache Spark and Python (Packt)
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~Get Your Files Here !/PySpark-Cookbook-master/Data/forest_coverage_type.csv 75.2 MB
~Get Your Files Here !/PySparkCookbook.pdf 11.7 MB
~Get Your Files Here !/PySparkCookbook.epub 10.4 MB
~Get Your Files Here !/PySpark-Cookbook-master/Data/census_income.csv 3.8 MB
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~Get Your Files Here !/PySpark-Cookbook-master/Chapter03/metastore_db/log/log1.dat 1.0 MB
~Get Your Files Here !/PySpark-Cookbook-master/Chapter02/Abstracting Data with RDDs.html 447.1 kB
~Get Your Files Here !/PySpark-Cookbook-master/Chapter03/metastore_db/seg0/c230.dat 249.9 kB
~Get Your Files Here !/PySpark-Cookbook-master/Chapter04/4.Preparing data for modeling.ipynb 134.3 kB
~Get Your Files Here !/PySpark-Cookbook-master/Chapter03/metastore_db/seg0/c20.dat 102.4 kB
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~Get Your Files Here !/PySpark-Cookbook-master/Chapter03/metastore_db/seg0/c4b0.dat 65.5 kB
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- 【影视】 Natural Language Processing - Embeddings and Text Preprocessing in Python
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Chapter 5 Setting Up Your Environment (AppendixFAQ by Student Request)/002. Anaconda Environment Setup.mp4 69.7 MB
Chapter 3 Vector Models and Text Preprocessing/013. TF-IDF (Code).mp4 61.5 MB
Chapter 7 Effective Learning Strategies for Machine Learning (AppendixFAQ by Student Request)/002. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 54.4 MB
Chapter 5 Setting Up Your Environment (AppendixFAQ by Student Request)/003. How to install Numpy, Scipy, Matplotlib, Pandas, and Tensorflow.mp4 51.5 MB
Chapter 3 Vector Models and Text Preprocessing/009. Count Vectorizer (Code).mp4 48.9 MB
Chapter 3 Vector Models and Text Preprocessing/015. How to Build TF-IDF From Scratch.mp4 39.9 MB
Chapter 7 Effective Learning Strategies for Machine Learning (AppendixFAQ by Student Request)/004. What order should I take your courses in (part 2).mp4 39.3 MB
Chapter 3 Vector Models and Text Preprocessing/005. Tokenization.mp4 36.8 MB
Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/003. Proof that using Jupyter Notebook is the same as not using it.mp4 36.2 MB
Chapter 3 Vector Models and Text Preprocessing/008. Stemming and Lemmatization Demo.mp4 35.6 MB
Chapter 3 Vector Models and Text Preprocessing/004. Count Vectorizer (Theory).mp4 32.1 MB
Chapter 4 Looking Ahead/002. Neural Word Embeddings Demo.mp4 31.7 MB
Chapter 3 Vector Models and Text Preprocessing/011. TF-IDF (Theory).mp4 31.7 MB
Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/001. How to Code Yourself (part 1).mp4 31.0 MB
Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/004. How to use Github & Extra Coding Tips (Optional).mp4 30.6 MB
Chapter 3 Vector Models and Text Preprocessing/007. Stemming and Lemmatization.mp4 30.6 MB
Chapter 7 Effective Learning Strategies for Machine Learning (AppendixFAQ by Student Request)/003. What order should I take your courses in (part 1).mp4 29.5 MB
Chapter 4 Looking Ahead/003. How To Do NLP In Other Languages.mp4 28.7 MB
Chapter 3 Vector Models and Text Preprocessing/002. What is a Vector.mp4 26.0 MB
Chapter 3 Vector Models and Text Preprocessing/014. Word-to-Index Mapping.mp4 25.5 MB
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Chapter 6 Recurrent Neural Networks/009. Parts-of-Speech (POS) Tagging in Tensorflow.mp4 57.2 MB
Chapter 4 Feedforward Artificial Neural Networks/013. CBOW in Tensorflow (Advanced).mp4 54.1 MB
Chapter 5 Convolutional Neural Networks/006. CNN Architecture.mp4 42.5 MB
Chapter 3 The Neuron/004. Text Classification in Tensorflow.mp4 39.5 MB
Chapter 4 Feedforward Artificial Neural Networks/004. Activation Functions.mp4 38.8 MB
Chapter 6 Recurrent Neural Networks/006. GRU and LSTM (pt 1).mp4 38.8 MB
Chapter 5 Convolutional Neural Networks/005. Convolution on Color Images.mp4 35.9 MB
Chapter 5 Convolutional Neural Networks/002. What is Convolution.mp4 35.5 MB
Chapter 3 The Neuron/002. Fitting a Line.mp4 34.0 MB
Chapter 6 Recurrent Neural Networks/005. RNNs Paying Attention to Shapes.mp4 28.8 MB
Chapter 6 Recurrent Neural Networks/007. GRU and LSTM (pt 2).mp4 25.6 MB
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Chapter 4 Feedforward Artificial Neural Networks/003. The Geometrical Picture.mp4 23.5 MB
Chapter 6 Recurrent Neural Networks/008. RNN for Text Classification in Tensorflow.mp4 22.1 MB
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Chapter 4 Feedforward Artificial Neural Networks/010. Embeddings.mp4 21.4 MB
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- 【影视】 [ FreeCourseWeb.com ] Udemy - Word Processing Mastery - Microsoft Word & Google Doc
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文档个数:76
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~Get Your Files Here !/02 Microsoft Word Mastery/011 Formatting Page With Background Color, Border And Watermark.mp4 169.3 MB
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~Get Your Files Here !/03 Google Doc Mastery/009 Table Of Content On Google Doc.mp4 100.5 MB
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~Get Your Files Here !/03 Google Doc Mastery/005 Working With Image On Google Doc.mp4 85.1 MB
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[ DevCourseWeb.com ] Udemy - Learning PHP Form and Data Processing (Beginner to Advanced).zip 1.8 GB
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- 【影视】 Natural Language Processing - Machine Learning Models in Python
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Chapter 3 Spam Detection/006. Spam Detection in Python.mp4 56.1 MB
Chapter 5 Text Summarization/008. TextRank in Python (Advanced).mp4 40.9 MB
Chapter 5 Text Summarization/004. Text Summarization in Python.mp4 39.1 MB
Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/002. SVD (Singular Value Decomposition) Intuition.mp4 38.7 MB
Chapter 6 Topic Modeling/006. Topic Modeling with Latent Dirichlet Allocation (LDA) in Python.mp4 36.6 MB
Chapter 4 Sentiment Analysis/002. Logistic Regression Intuition (pt 1).mp4 35.8 MB
Chapter 6 Topic Modeling/005. Latent Dirichlet Allocation (LDA) - Intuition (Advanced).mp4 33.1 MB
Chapter 4 Sentiment Analysis/006. Sentiment Analysis in Python (pt 1).mp4 31.0 MB
Chapter 3 Spam Detection/004. Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1).mp4 30.6 MB
Chapter 6 Topic Modeling/002. Latent Dirichlet Allocation (LDA) - Essentials.mp4 28.0 MB
Chapter 3 Spam Detection/005. Aside Class Imbalance, ROC, AUC, and F1 Score (pt 2).mp4 28.0 MB
Chapter 3 Spam Detection/002. Naive Bayes Intuition.mp4 27.5 MB
Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/004. Latent Semantic Analysis Latent Semantic Indexing in Python.mp4 27.4 MB
Chapter 6 Topic Modeling/007. Non-Negative Matrix Factorization (NMF) Intuition.mp4 26.1 MB
Chapter 5 Text Summarization/006. TextRank - How It Really Works (Advanced).mp4 25.9 MB
Chapter 4 Sentiment Analysis/007. Sentiment Analysis in Python (pt 2).mp4 24.9 MB
Chapter 5 Text Summarization/005. TextRank Intuition.mp4 22.3 MB
Chapter 5 Text Summarization/009. Text Summarization in Python - The Easy Way (Beginner).mp4 21.9 MB
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Chapter 4 Sentiment Analysis/001. Sentiment Analysis - Problem Description.mp4 20.8 MB
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~Get Your Files Here !/12 - Tables Boxes and Frames/44 - Working With Frames.mp4 131.7 MB
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~Get Your Files Here !/7 - Mid Course Recap/22 - Mid Course Recap pt 2.mp4 130.7 MB
~Get Your Files Here !/10 - Working With Styles/35 - Creating Custom Styles.mp4 119.4 MB
~Get Your Files Here !/13 - Spelling Grammar and Collaboration/46 - Spellchecking Grammar Thesaurus.mp4 115.0 MB
~Get Your Files Here !/2 - Installing the Software/4 - Using Libreoffice on the Raspberry Pi.mp4 107.5 MB
~Get Your Files Here !/3 - Word Processing Basics/8 - Applying Direct Manual Formatting to Text.mp4 106.3 MB
~Get Your Files Here !/11 - Page Numbering and References/41 - Adding a Table of Contents.mp4 102.8 MB
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~Get Your Files Here !/9 - Printing Updating the Software Format Painter/29 - Updating LibreOffice.mp4 85.1 MB
~Get Your Files Here !/11 - Page Numbering and References/42 - Adding an Index.mp4 82.7 MB
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~Get Your Files Here !/7 - Mid Course Recap/21 - Practice Previous Concepts by Formatting the Hymns Document.mp4 81.3 MB
~Get Your Files Here !/3 - Word Processing Basics/6 - Create Open and Save Files File Formats.mp4 80.1 MB
~Get Your Files Here !/11 - Page Numbering and References/39 - Footnotes and Endnotes.mp4 79.8 MB
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Chapter 3 Spam Detection/006. Spam Detection in Python.mp4 56.2 MB
Chapter 5 Text Summarization/008. TextRank in Python (Advanced).mp4 40.9 MB
Chapter 5 Text Summarization/004. Text Summarization in Python.mp4 39.1 MB
Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/002. SVD (Singular Value Decomposition) Intuition.mp4 38.7 MB
Chapter 6 Topic Modeling/006. Topic Modeling with Latent Dirichlet Allocation (LDA) in Python.mp4 36.6 MB
Chapter 4 Sentiment Analysis/002. Logistic Regression Intuition (pt 1).mp4 35.8 MB
Chapter 6 Topic Modeling/005. Latent Dirichlet Allocation (LDA) - Intuition (Advanced).mp4 33.1 MB
Chapter 4 Sentiment Analysis/006. Sentiment Analysis in Python (pt 1).mp4 31.1 MB
Chapter 3 Spam Detection/004. Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1).mp4 30.6 MB
Chapter 6 Topic Modeling/002. Latent Dirichlet Allocation (LDA) - Essentials.mp4 28.0 MB
Chapter 3 Spam Detection/005. Aside Class Imbalance, ROC, AUC, and F1 Score (pt 2).mp4 28.0 MB
Chapter 3 Spam Detection/002. Naive Bayes Intuition.mp4 27.5 MB
Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/004. Latent Semantic Analysis Latent Semantic Indexing in Python.mp4 27.4 MB
Chapter 6 Topic Modeling/007. Non-Negative Matrix Factorization (NMF) Intuition.mp4 26.1 MB
Chapter 5 Text Summarization/006. TextRank - How It Really Works (Advanced).mp4 25.9 MB
Chapter 4 Sentiment Analysis/007. Sentiment Analysis in Python (pt 2).mp4 24.9 MB
Chapter 5 Text Summarization/005. TextRank Intuition.mp4 22.3 MB
Chapter 5 Text Summarization/009. Text Summarization in Python - The Easy Way (Beginner).mp4 21.9 MB
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[TutsNode.net] - Practical Natural Language Processing Go from Zero to Hero/7 - Chatbots Build with Google Cloud Service Dialogflow/50 - Create Dialogflow chatbot.mp4 208.7 MB
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[TutsNode.net] - Practical Natural Language Processing Go from Zero to Hero/8 - Deep Dive into the Dialog Systems Chatbot/56 - Deep Learning based intent Classification.mp4 152.0 MB
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