PirateBay Download | nlp natural language processing python beginners

nlp natural language processing python beginners

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Files:: 697
Size:: 8.7 GB
Uploaded On:: July 12, 2021, 11:55 a.m.
Added By:: tuts756
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Info Hash:: 47CA7ABA470EDB6406E00CC89C0A1B0AD8FBDC7E

Description Comprehensive Course Description: Natural Language Processing (NLP), a subdivision of Artificial Intelligence (AI), is the ability of a computer to understand human language the way it’s spoken and written. Human language is typically referred to as natural language. Humans also have different sensors. For instance, ears perform the function of hearing, and eyes perform the function of seeing. Similarly, computers have programs for reading and microphones for collecting audio. Just as the human brain processes an input, a computer program processes a specific input. And during processing, the program converts the input into code that the computer understands. This course, Natural Language Processing (NLP), Theory and Practice in Python, introduces you to the concepts, tools, and techniques of machine learning for text data. You will learn the elementary concepts as well as emerging trends in the field of NLP. You will also learn about the implementation and evaluation of different NLP applications using deep learning methods. Why Use Python for NLP? Python is the most preferred language for NLP thanks to its expansive tools and libraries for text analysis and computer-usable data extraction. This course will take you through numerous techniques for text pre-processing, from basics such as regular expressions and text normalization to complex topics such as string matching, language models, and word embeddings. You will be considering most of the examples from the English language for understanding the algorithms. But the algorithms can be adapted to any language. (Hence, there’s no language/grammar dependency.) You will get exposure to state-of-the-art packages (NLTK, Gensim, SpaCy) as well as frameworks (PyTorch) along with extensive implementation/coding-oriented content in Python. The main focus of the course is on preparing text data for machine learning models. Although we have separate courses on Deep learning, we do cover useful concepts in this course briefly to make this course more independent. How Is This NLP Course Different? The course content is very specific and to the point. The learning material is a perfect blend of theoretical concepts and practical applications. Examples and sample code have been included to help you grasp each concept with more clarity. Each NLP concept is structured and presented in such a way that makes it easy for you to understand. High-quality video content, compelling course material, assessment questions, course notes, and handouts are additional perks that you will get. You can contact our friendly team in case of any queries. This course encourages you to make quick progress. At the end of each module, you will get an opportunity to revise everything you have learned through Homework/tasks/activities. They have been designed to evaluate / further build your learning based on the concepts and methods you have learned. Most of these assignments are coding-based, and they will be useful to get you up and go ahead with implementations. The two mini-projects in the last module—Neural Machine/Language Translator and Modify Language Translator a Bit and Build a Chatbot—focus on the innovative applications in this field. These mini-projects help you to apply the concepts of pre-processing text. You will use techniques such as parts of speech tagging, lemmatization, and tokenization using Python libraries. NLP has made tremendous advances in the last decade, and it’s made the leap from research labs to real-world applications. While getting started in this field can be a challenging pursuit, this course presents you with a clear and actionable roadmap. It makes the task of accomplishing your career goals that much easier. This course is competitively priced and delivers value for money, as you can learn the concepts and methodologies of NLP at a relatively low cost. The series of brief videos and the detailed code notebooks shorten your learning curve. Get started with this NLP course without delay! Course Content: This complete course consists of the following topics: 1. Introduction a. Motivation i. What is Natural Language Processing (NLP)? ii. Why is NLP important? iii. What is Neural Language Modeling? iv. How are language models used in Speech recognition? v. Chatbots b. Software i. SpaCy ii. NLTK iii. Gensim iv. PyTorch 2. Text Pre-Processing a. Regular Expressions i. Regular Expression Patterns b. Text Normalization i. Word Tokenization ii. Byte Pair Encoding iii. Sub words iv. Word Normalization, Lemmatization, and Stemming v. Sentence Segmentation c. String Matching i. Edit Distance ii. Minimum Edit Distance iii. Dynamic Programming iv. Implementation of Minimum Edit Distance in NumPy 3. Word Embeddings a. Language Models i. Vocabulary ii. Markov models iii. N-Grams iv. Novel Sequence generation v. Language Modeling Using One Hot Vectors vi. Limitations of One-Hot-encoding b. Linear Subspaces for Word Embeddings i. Term-Document-Matrix ii. Tf-Idf iii. Latent Semantic Analysis: SVD iv. Word Cooccurrence Matrix v. Word embeddings: SVD vi. Limitations c. Word2Vec i. Skip-gram model ii. Context and target sampling iii. Hierarchical SoftMax iv. Negative Sampling d. More on Embeddings i. GloVe ii. FastText iii. BERT e. Analogies i. Cosine Similarity ii. Examples of Analogies iii. Bias in Embeddings 4. Natural Language Processing with Deep Learning a. Neural Networks b. Types of Recurrent Neural Networks i. One to One ii. One to many iii. Many to One iv. Many to Many v. Bi-directional RNNs vi. Deep RNNs c. Advanced RNN architectures for NLP i. Encoder-decoder models ii. Attention models 5. Projects a. Neural Machine/Language Translator b. Modify Language Translator a Bit and Build a Chatbot. After completing this course successfully, you will be able to: · Apply the concepts to any language to build customized NLP models. · Learn machine learning concepts in a more practical way. · Understand the methodology of NLP using real datasets. Who this course is for: · Complete beginners to Natural Language Processing. · People who want to upgrade their Python programming skills for NLP. · Individuals who are passionate about numbers and programming. · Data Scientists. · Data Analysts. · Machine Learning Practitioners. Who this course is for: • Complete beginners to Natural Language Processing. • People who want to upgrade their Python programming skills for NLP. • Individuals who are passionate about data science and machine learning. • Data Scientists. • Data Analysts. • Machine Learning Practitioners. Requirements • No prior knowledge is required. You will start from the fundamental concepts and slowly build your knowledge of the subject. • A willingness to learn and practice. • Knowledge of Python will be a plus. Last Updated 6/2021

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[TutsNode.com] - NLP-Natural Language Processing in Python for Beginners/22 Mini-project Language Modelling(NLP with Deep Learning RNN)/002 Language Modeling Next Word Prediction Vocabulary Index.mp4 20.1 MB
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[TutsNode.com] - NLP-Natural Language Processing in Python for Beginners/22 Mini-project Language Modelling(NLP with Deep Learning RNN)/003 Language Modeling Next Word Prediction Vocabulary Index Embeddings.mp4 19.5 MB
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[TutsNode.com] - NLP-Natural Language Processing in Python for Beginners/12 Language Modeling/005 Language Model Implementation Setup.mp4 19.3 MB
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[TutsNode.com] - NLP-Natural Language Processing in Python for Beginners/12 Language Modeling/003 Language Model Curse Of Dimensionality.mp4 19.1 MB
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[TutsNode.com] - NLP-Natural Language Processing in Python for Beginners/22 Mini-project Language Modelling(NLP with Deep Learning RNN)/004 Language Modeling Next Word Prediction Rnn Architecture.mp4 19.0 MB
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[TutsNode.com] - NLP-Natural Language Processing in Python for Beginners/03 Meta Characters(Regular Expressions)/024 Meta Character Curly Brackets Exercise.mp4 18.8 MB
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[TutsNode.com] - NLP-Natural Language Processing in Python for Beginners/13 Topic Modelling with Word and Document Representations/001 One Hot Vectors.mp4 18.6 MB
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[TutsNode.com] - NLP-Natural Language Processing in Python for Beginners/13 Topic Modelling with Word and Document Representations/004 One Hot Vectors Uses As Target Labeling.mp4 18.1 MB
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[TutsNode.com] - NLP-Natural Language Processing in Python for Beginners/24 RNN in PyTorch(NLP with Deep Learning RNN)/005 RNN In Pytorch Gatedunits.mp4 18.0 MB
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[TutsNode.com] - NLP-Natural Language Processing in Python for Beginners/15 Word Semantics/011 Words Visualizations.mp4 17.7 MB
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[TutsNode.com] - NLP-Natural Language Processing in Python for Beginners/13 Topic Modelling with Word and Document Representations/005 Term Frequency For Document Representations.mp4 17.7 MB
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[TutsNode.com] - NLP-Natural Language Processing in Python for Beginners/20 Hyper parameters(NLP with Deep Learning DNN)/008 DNN Early Stopping.mp4 17.5 MB
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[TutsNode.com] - NLP-Natural Language Processing in Python for Beginners/10 Text Nomalization(Text Preprocessing)/001 Word Normalization Case Folding.mp4 16.8 MB
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[TutsNode.com] - NLP-Natural Language Processing in Python for Beginners/25 Advanced RNN models(NLP with Deep Learning RNN)/002 RNN Attention.mp4 16.8 MB
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[TutsNode.com] - NLP-Natural Language Processing in Python for Beginners/04 Pattern Objects(Regular Expressions)/002 Pattern Objects Match Method Exersize.mp4 16.8 MB
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[TutsNode.com] - NLP-Natural Language Processing in Python for Beginners/21 Introduction(NLP with Deep Learning RNN)/005 RNN Applications Machine Translation.mp4 16.6 MB
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[TutsNode.com] - NLP-Natural Language Processing in Python for Beginners/21 Introduction(NLP with Deep Learning RNN)/001 What Is RNN.mp4 16.5 MB
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[TutsNode.com] - NLP-Natural Language Processing in Python for Beginners/16 Word2vec(Optional)/004 Word2Vec Why Negative Sampling.mp4 16.4 MB
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[TutsNode.com] - NLP-Natural Language Processing in Python for Beginners/20 Hyper parameters(NLP with Deep Learning DNN)/007 DNN Dropout In Pytorch.mp4 16.4 MB
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[TutsNode.com] - NLP-Natural Language Processing in Python for Beginners/07 Words and Tokens(Text Preprocessing)/004 Tokens.mp4 16.2 MB
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[TutsNode.com] - NLP-Natural Language Processing in Python for Beginners/03 Meta Characters(Regular Expressions)/007 Meta Characters Cap Exercise 3.mp4 16.2 MB
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[TutsNode.com] - NLP-Natural Language Processing in Python for Beginners/25 Advanced RNN models(NLP with Deep Learning RNN)/001 RNN Encoder Decoder.mp4 16.0 MB
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[TutsNode.com] - NLP-Natural Language Processing in Python for Beginners/03 Meta Characters(Regular Expressions)/006 Meta Characters Cap.mp4 15.3 MB
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[TutsNode.com] - NLP-Natural Language Processing in Python for Beginners/21 Introduction(NLP with Deep Learning RNN)/003 RNN Applications Human Activity Recognition.mp4 15.1 MB
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[TutsNode.com] - NLP-Natural Language Processing in Python for Beginners/10 Text Nomalization(Text Preprocessing)/003 Word Normalization Stemming.mp4 14.8 MB
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[TutsNode.com] - NLP-Natural Language Processing in Python for Beginners/22 Mini-project Language Modelling(NLP with Deep Learning RNN)/001 Language Modeling Next Word Prediction.mp4 14.4 MB
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[TutsNode.com] - NLP-Natural Language Processing in Python for Beginners/24 RNN in PyTorch(NLP with Deep Learning RNN)/007 RNN In Pytorch Bidirectional RNN.mp4 13.6 MB
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[TutsNode.com] - NLP-Natural Language Processing in Python for Beginners/01 Introduction/003 Introduction to Co-Instructor.mp4 13.6 MB
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[TutsNode.com] - NLP-Natural Language Processing in Python for Beginners/20 Hyper parameters(NLP with Deep Learning DNN)/003 DNN Batch Normalization.mp4 11.9 MB
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[TutsNode.com] - NLP-Natural Language Processing in Python for Beginners/03 Meta Characters(Regular Expressions)/004 Meta Characters Bigbrackets Exercise 2.mp4 10.7 MB
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[TutsNode.com] - NLP-Natural Language Processing in Python for Beginners/03 Meta Characters(Regular Expressions)/001 Meta Characters.mp4 10.0 MB
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[TutsNode.com] - NLP-Natural Language Processing in Python for Beginners/03 Meta Characters(Regular Expressions)/015 Backslash Exercise.mp4 9.9 MB
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[TutsNode.com] - NLP-Natural Language Processing in Python for Beginners/03 Meta Characters(Regular Expressions)/012 Backslash Squared Brackets Exercise.mp4 9.8 MB
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[TutsNode.com] - NLP-Natural Language Processing in Python for Beginners/01 Introduction/001 Introduction to Course.mp4 7.8 MB
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[TutsNode.com] - NLP-Natural Language Processing in Python for Beginners/24 RNN in PyTorch(NLP with Deep Learning RNN)/001 RNN In Pytorch Introduction.mp4 7.7 MB

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