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- ~Get Your Files Here !/1. Cross-lingual models Part 1/2. XNLI.mp4 157.4 MB
- ~Get Your Files Here !/2. Cross-lingual models Part 2/3. XTREME-R.mp4 155.7 MB
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- ~Get Your Files Here !/2. Cross-lingual models Part 2/7. FILTER.mp4 93.7 MB
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- (Paper) - Integration of Gann, Elliott, and Fibonacci Techniques.pdf 1.8 MB
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- Hypnosis - Sample Hypnosis Script - Building a Stress-Free Future.pdf 1.8 MB
- Hypnosis - Sample Hypnosis Script - Dave Elman Method.pdf 112.9 kB
- Hypnosis - Sample Hypnosis Script - Put A Dead Halt Stop To Self-Sabotage.pdf 1.6 MB
- Hypnosis - Sample Hypnosis Script - Ten To One Method Of Self- Hypnosis.pdf 528.4 kB
- Hypnosis - Seven Success Secrets Of Hypnotism.pdf 48.8 kB
- Hypnosis - Software for the Mind.pdf 38.5 kB
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- Text Mining and NLP using R and Python.zip 1.3 GB
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- [ FreeCourseWeb.com ] Oreilly - No Code and Low Code NLP in One Hour Video Course.zip 1.3 GB
- ~Get Your Files Here !/2. GLUE, Transformers, GPT, BERT/5. GPT.mp4 313.5 MB
- ~Get Your Files Here !/1. Encoder-decoder attention models, ELMo/4. Attention based models.mp4 237.5 MB
- ~Get Your Files Here !/2. GLUE, Transformers, GPT, BERT/6. BERT.mp4 146.0 MB
- ~Get Your Files Here !/2. GLUE, Transformers, GPT, BERT/3. Transformers-1.mp4 142.1 MB
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- ~Get Your Files Here !/1. Encoder-decoder attention models, ELMo/3. Global, local, hierarchical attention; attention for sentence pairs.mp4 95.3 MB
- ~Get Your Files Here !/1. Encoder-decoder attention models, ELMo/5. ELMo.mp4 89.0 MB
- ~Get Your Files Here !/2. GLUE, Transformers, GPT, BERT/4. Transformers-2.mp4 81.7 MB
- ~Get Your Files Here !/1. Encoder-decoder attention models, ELMo/2. Encoder-decoder models.mp4 29.5 MB
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- ~Get Your Files Here !/2. GLUE, Transformers, GPT, BERT/4. Transformers-2-en_US.srt 17.7 kB
- John la Valle - NLP Practitioner - Toronto - 01 - 01 of 50.mp3 33.2 MB
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- John la Valle - NLP Practitioner - Toronto - 04 - 04 of 50.mp3 21.9 MB
- John la Valle - NLP Practitioner - Toronto - 05 - 05 of 50.mp3 22.4 MB
- John la Valle - NLP Practitioner - Toronto - 06 - 06 of 50.mp3 21.8 MB
- John la Valle - NLP Practitioner - Toronto - 07 - 07 of 50.mp3 21.4 MB
- John la Valle - NLP Practitioner - Toronto - 08 - 08 of 50.mp3 22.0 MB
- John la Valle - NLP Practitioner - Toronto - 09 - 09 of 50.mp3 22.0 MB
- John la Valle - NLP Practitioner - Toronto - 10 - 10 of 50.MP3 22.0 MB
- John la Valle - NLP Practitioner - Toronto - 11 - 11 of 50.MP3 22.4 MB
- John la Valle - NLP Practitioner - Toronto - 12 - 12 of 50.MP3 22.1 MB
- John la Valle - NLP Practitioner - Toronto - 13 - 13 of 50.MP3 22.3 MB
- John la Valle - NLP Practitioner - Toronto - 14 - 14 of 50.mp3 22.1 MB
- John la Valle - NLP Practitioner - Toronto - 15 - 15 of 50.mp3 21.9 MB
- John la Valle - NLP Practitioner - Toronto - 16 - 16 of 50.mp3 22.0 MB
- John la Valle - NLP Practitioner - Toronto - 17 - 17 of 50.mp3 22.1 MB
- John la Valle - NLP Practitioner - Toronto - 18 - 18 of 50.mp3 21.9 MB
- John la Valle - NLP Practitioner - Toronto - 19 - 19 of 50 (Distorted).mp3 22.8 MB
- John la Valle - NLP Practitioner - Toronto - 20 - 20 of 50.mp3 22.4 MB
- ~Get Your Files Here !/7. Machine Learning - Making Decisions/2. Classification with TextBlob.mp4 148.6 MB
- ~Get Your Files Here !/4. Python - Going Subsymbolic/1. Introduction.mp4 113.3 MB
- ~Get Your Files Here !/4. Python - Going Subsymbolic/4. Subsymbolic - Learn Word Vectors.mp4 111.6 MB
- ~Get Your Files Here !/8. Machine Learning - Identifying Discussed Topics/2. Learn About LDA Gensim.mp4 100.2 MB
- ~Get Your Files Here !/7. Machine Learning - Making Decisions/3. Classification with scikit-learn.mp4 99.3 MB
- ~Get Your Files Here !/6. Machine Learning - Determining How the Writer Feels/2. Machine Learning - Sentiment In VADER.mp4 68.6 MB
- ~Get Your Files Here !/2. Getting Started with This Course/2. Learn How to Work with Unicode.mp4 53.7 MB
- ~Get Your Files Here !/2. Getting Started with This Course/1. Introduction.mp4 53.5 MB
- ~Get Your Files Here !/4. Python - Going Subsymbolic/3. Learn About Google Word Vectors.mp4 53.3 MB
- ~Get Your Files Here !/8. Machine Learning - Identifying Discussed Topics/3. Learn About LDA pyLDAvis.mp4 50.3 MB
- ~Get Your Files Here !/3. Learn to Convert Text To Symbols/1. Introduction.mp4 47.3 MB
- ~Get Your Files Here !/3. Learn to Convert Text To Symbols/2. Text To Symbols - Splitting Sentences.mp4 42.1 MB
- ~Get Your Files Here !/9. Machine Learning - Toward Machine Reading/3. Learn About FRED.mp4 36.2 MB
- ~Get Your Files Here !/9. Machine Learning - Toward Machine Reading/2. Learn About pyspotlight.mp4 33.7 MB
- ~Get Your Files Here !/5. Learn About the Structure of Text/1. Introduction.mp4 33.4 MB
- ~Get Your Files Here !/5. Learn About the Structure of Text/3. Learn and Understand Named Entities.mp4 31.1 MB
- ~Get Your Files Here !/9. Machine Learning - Toward Machine Reading/1. Introduction.mp4 30.9 MB
- ~Get Your Files Here !/3. Learn to Convert Text To Symbols/3. Text To Symbols - Filtering Stop Words.mp4 26.3 MB
- ~Get Your Files Here !/4. Python - Going Subsymbolic/2. Learn About Word Vectors.mp4 22.1 MB
- ~Get Your Files Here !/5. Learn About the Structure of Text/2. Learn and Understand Sentence Head.mp4 22.1 MB
- TutsGalaxy.com.txt 41 Bytes
- Torrent_downloaded_from_Demonoid_-_www.demonoid.pw_.txt 59 Bytes
- Read Me.txt 80 Bytes
- NLP - Neuro Linguistic Programming - The Ultimate Guide.zip 1.3 GB
- [ TutGator.com ] Udemy - Deep Learning for Natural Language Processing (DL for NLP) 1.zip 1.3 GB
- [ TutGee.com ] Udemy - Deep Learning for Natural Language Processing (DL for NLP) 2.zip 1.2 GB
- ~Get Your Files Here !/2. Word Embeddings/7. Cross-lingual word embedding models.mp4 165.0 MB
- ~Get Your Files Here !/2. Word Embeddings/6. GloVe.mp4 113.1 MB
- ~Get Your Files Here !/2. Word Embeddings/5. Sampling-based approximations for softmax.mp4 107.5 MB
- ~Get Your Files Here !/1. Multi-Layered Perceptrons (MLPs)/3. Artificial neuron activationintegration function, softmax, perceptron.mp4 90.7 MB
- ~Get Your Files Here !/2. Word Embeddings/8. Sub-word level embeddings.mp4 88.8 MB
- ~Get Your Files Here !/3. Recurrent Models RNNs, GRUs, LSTMs, variants/6. Long Short-Term Memory Networks LSTMs.mp4 65.3 MB
- ~Get Your Files Here !/2. Word Embeddings/4. Efficient Softmax approximations.mp4 64.7 MB
- ~Get Your Files Here !/3. Recurrent Models RNNs, GRUs, LSTMs, variants/2. Traditional n-gram language models and NNLM.mp4 58.3 MB
- ~Get Your Files Here !/3. Recurrent Models RNNs, GRUs, LSTMs, variants/3. Recurrent Neural Networks RNNs.mp4 57.7 MB
- ~Get Your Files Here !/2. Word Embeddings/3. word2vec (CBOW, Skipgram).mp4 53.4 MB
- ~Get Your Files Here !/3. Recurrent Models RNNs, GRUs, LSTMs, variants/5. Bidirectional RNNs, Stacked RNNs, Vanishing gradients problem.mp4 52.4 MB
- ~Get Your Files Here !/1. Multi-Layered Perceptrons (MLPs)/5. What is deep learning.mp4 50.7 MB
- ~Get Your Files Here !/1. Multi-Layered Perceptrons (MLPs)/6. How does back-propagation work.mp4 39.5 MB
- ~Get Your Files Here !/2. Word Embeddings/2. Onehot encoding and SVD.mp4 34.0 MB
- ~Get Your Files Here !/1. Multi-Layered Perceptrons (MLPs)/2. Why do we need Artificial Neural Networks (ANNs).mp4 30.4 MB
- ~Get Your Files Here !/3. Recurrent Models RNNs, GRUs, LSTMs, variants/4. RNNs for Image captioning.mp4 30.1 MB
- ~Get Your Files Here !/1. Multi-Layered Perceptrons (MLPs)/7. Overfitting, dropout and regularization.mp4 28.4 MB
- ~Get Your Files Here !/3. Recurrent Models RNNs, GRUs, LSTMs, variants/7. Gated Recurrent Units GRUs.mp4 24.2 MB
- ~Get Your Files Here !/1. Multi-Layered Perceptrons (MLPs)/4. Why do we need Multi-Layered Perceptrons.mp4 19.6 MB
- ~Get Your Files Here !/2. Word Embeddings/9. Summary.mp4 11.1 MB
- ~Get Your Files Here !/004 Graph Filtering_ Neighborhood aggregation schemes.mp4 260.8 MB
- ~Get Your Files Here !/012 Some applications of Graph Neural Nets.mp4 175.5 MB
- ~Get Your Files Here !/007 Graph Pooling_ Global pooling.mp4 175.4 MB
- ~Get Your Files Here !/006 Graph Pooling_ Topology based pooling.mp4 119.4 MB
- ~Get Your Files Here !/009 Hierarchical Graph Pooling_ gPool.mp4 116.8 MB
- ~Get Your Files Here !/011 Unsupervised Learning using GNNs.mp4 110.6 MB
- ~Get Your Files Here !/008 Hierarchical Graph Pooling_ Differentiable Pooling (DiffPool).mp4 107.5 MB
- ~Get Your Files Here !/010 Hierarchical Graph Pooling_ SAGPool.mp4 48.3 MB
- ~Get Your Files Here !/003 Tasks on Graph-Structured Data.mp4 40.0 MB
- ~Get Your Files Here !/005 Graph Pooling (downsampling) Introduction.mp4 31.1 MB
- ~Get Your Files Here !/001 Introduction.mp4 11.8 MB
- ~Get Your Files Here !/002 Graph Data.mp4 11.6 MB
- ~Get Your Files Here !/013 Summary.mp4 9.1 MB
- ~Get Your Files Here !/004 Graph Filtering_ Neighborhood aggregation schemes.en.srt 55.0 kB
- ~Get Your Files Here !/007 Graph Pooling_ Global pooling.en.srt 35.7 kB
- ~Get Your Files Here !/012 Some applications of Graph Neural Nets.en.srt 34.5 kB
- ~Get Your Files Here !/011 Unsupervised Learning using GNNs.en.srt 25.7 kB
- ~Get Your Files Here !/006 Graph Pooling_ Topology based pooling.en.srt 24.8 kB
- ~Get Your Files Here !/009 Hierarchical Graph Pooling_ gPool.en.srt 23.7 kB
- ~Get Your Files Here !/008 Hierarchical Graph Pooling_ Differentiable Pooling (DiffPool).en.srt 20.6 kB
- [ FreeCourseWeb.com ] Udemy - U&P AI - Natural Language Processing (NLP) with Python.zip 1.2 GB
- assignments/assignment-1/h1-p.4.pdf 152.4 kB
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- assignments/assignment-2/h2-p.2.pdf 172.6 kB
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- assignments/assignment-3/h3.zip 622.6 kB
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- lectures/week1-01/Natural Language Processing 0.0 Introduction (Part 1) (1117).mp4 14.9 MB
- lectures/week1-01/Natural Language Processing 0.1 Introduction (Part 2) (1028).mp4 12.4 MB
- lectures/week1-02/Natural Language Processing 1.0 Introduction to the Language Modeling Problem (Part 1) (617).mp4 7.9 MB
- lectures/week1-02/Natural Language Processing 1.1 Introduction to the Language Modeling Problem (Part 2) (712).mp4 8.7 MB
- lectures/week1-02/Natural Language Processing 1.2 Markov Processes (Part 1) (856).mp4 10.7 MB
- lectures/week1-02/Natural Language Processing 1.3 Markov Processes (Part 2) (628).mp4 7.7 MB
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- lectures/week1-02/Natural Language Processing 1.5 Evaluating Language Models Perplexity (1236).mp4 15.5 MB
- lectures/week1-03/Natural Language Processing 2.0 Linear Interpolation (Part 1) (746).mp4 9.5 MB
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- lectures/week1-03/Natural Language Processing 2.2 Discounting Methods (Part 1) (926).mp4 11.7 MB
- lectures/week1-03/Natural Language Processing 2.3 Discounting Methods (Part 2) (334).mp4 4.6 MB
- ~Get Your Files Here !/11. Bonus Session on using your Brain to get rich/1. Bonus 2.mp4 277.0 MB
- ~Get Your Files Here !/4. The way we Perceive things/1. The way we Perceive.mp4 237.0 MB
- ~Get Your Files Here !/5. Conscious Mind & Subconscious Mind/1. Conscious Mind & Subconscious Mind.mp4 157.1 MB
- ~Get Your Files Here !/8. 5 Powerful Questions to ask during difficult times/1. 5 Powerful Questions to ask during difficult times.mp4 133.6 MB
- ~Get Your Files Here !/6. Language of our Mind/1. Language of our Mind.mp4 119.9 MB
- ~Get Your Files Here !/3. Know your Instructor/1. Instructor's Intro & Achievements.mp4 96.8 MB
- ~Get Your Files Here !/1. Introduction/1. Introduction.mp4 63.8 MB
- ~Get Your Files Here !/7. NLP - Meta Model/1. NLP - Meta Model.mp4 54.7 MB
- ~Get Your Files Here !/2. NLP as a Communication Model/1. NLP as a Communication Model.mp4 20.0 MB
- ~Get Your Files Here !/9. About Instructor/1.1 NLP Practitioner Brochure 2020.pdf 7.4 MB
- ~Get Your Files Here !/9. About Instructor/2.1 Dr. Yogesh - NLP Coach Profile.pdf 1.1 MB
- ~Get Your Files Here !/10. Bonus/1.1 Manifestation Mastermind- The Ultimate Guide to Manifestation.pdf 854.2 kB
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- ~Get Your Files Here !/1. Introduction/1. Introduction.srt 4.2 kB
- ~Get Your Files Here !/7. NLP - Meta Model/1. NLP - Meta Model.srt 4.2 kB
- 1 - 1 - Course Introduction (14:11).mp4 12.9 MB
- 1. Basic Text Processing/2 - 1 - Regular Expressions (11:25).mp4 11.4 MB
- 1. Basic Text Processing/2 - 2 - Regular Expressions in Practical NLP (6:04).mp4 8.4 MB
- 1. Basic Text Processing/2 - 3 - Word Tokenization (14:26).mp4 13.1 MB
- 1. Basic Text Processing/2 - 4 - Word Normalization and Stemming (11:47).mp4 10.6 MB
- 1. Basic Text Processing/2 - 5 - Sentence Segmentation (5:31).mp4 5.2 MB
- 10. Parsing Intro/13 - 1 - Syntactic Structure: Constituency vs Dependency (8:46).mp4 9.4 MB
- 10. Parsing Intro/13 - 2 - Empirical_Data-Driven Approach to Parsing (7:11).mp4 7.6 MB
- 10. Parsing Intro/13 - 3 - The Exponential Problem in Parsing (14:30).mp4 15.6 MB
- 11. Probablistic Parsing/15 - 1 - CFGs and PCFGs (15:29).mp4 17.5 MB
- 11. Probablistic Parsing/15 - 2 - Grammar Transforms (12:05).mp4 12.6 MB
- 11. Probablistic Parsing/15 - 3 - CKY Parsing (23:25).mp4 27.5 MB
- 11. Probablistic Parsing/15 - 4 - CKY Example (21:52).mp4 24.6 MB
- 11. Probablistic Parsing/15 - 5 - Constituency Parser Evaluation (9:45).mp4 11.2 MB
- 12. Lexicalized Parsing/16 - 1 - Lexicalization of PCFGs (7:03).mp4 7.5 MB
- 12. Lexicalized Parsing/16 - 2 - Charniak's Model (18:23).mp4 19.9 MB
- 12. Lexicalized Parsing/16 - 3 - PCFG Independence Assumptions (9:44).mp4 10.3 MB
- 12. Lexicalized Parsing/16 - 4 - The Return of Unlexicalized PCFGs (20:53).mp4 22.2 MB
- 12. Lexicalized Parsing/16 - 5 - Latent Variable PCFGs (12:07).mp4 13.2 MB
- 13. Dependency Parsing (Optional)/17 - 1 - Dependency Parsing Introduction (10:25).mp4 11.7 MB
- NLP Techniques Masterclass - Disc 2.mp3 186.5 MB
- NLP Techniques Masterclass - Disc 6.mp3 183.5 MB
- NLP Techniques Masterclass - Disc 1.mp3 182.6 MB
- NLP Techniques Masterclass - Disc 5.mp3 181.2 MB
- NLP Techniques Masterclass - Disc 4.mp3 180.1 MB
- NLP Techniques Masterclass - Disc 3.mp3 149.6 MB
- NLP Techniques Masterclass - Disc 7.mp3 91.2 MB