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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
Gazi O. MatLAB Applications for Digital Signal Processing...2024.pdf 48.5 MB
Proakis J. Contemporary Communication Systems Using MATLAB 3ed 2013.pdf 43.1 MB
Tobin P. PSpice for Digital Signal Processing 2007.pdf 37.3 MB
Stearns S. Digital Signal Processing with Examples in MatLAB 2003.pdf 35.3 MB
Schilling R. Fundamentals of DSP Using MatLAB 2ed 2012.pdf 21.3 MB
Schilling R Digital Signal Processing using MatLAB 3ed 2015.pdf 20.1 MB
Abood S. Digital Signal Processing. A Primer With MatLAB 2020.pdf 17.2 MB
Proakis J. Digital Signal Processing Using MatLAB...Companion 4ed 2017.pdf 12.9 MB
Gopi E. Mathematical Summary for DSP Applications with MatLAB 2010.pdf 10.5 MB
Gopi E. Multi-Disciplinary DSP. A Functional Approach Using MatLAB 2018.pdf 9.6 MB
Proakis J. Digital Signal Processing Using MatLAB 3ed 2011.pdf 7.5 MB
Gopi E. Algorithm Collections for DiSP Applications Using MatLAB 2007.pdf 5.2 MB
Embree P. C++ algorithms for digital signal processing 2ed 1999.pdf 3.8 MB
Proakis J. Digital Signal Processing. Solutions 4ed 2007.pdf 2.7 MB
Proakis J. Readme.txt 1.2 kB
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- 【压缩文件】 [HENATI CG] [ハトマメ] うちの母娘と男の子!お姉さん達の性欲処理に使われるボク :\ I used to sexual desire processing of boy! Sister our mother and my daughter
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[ハトマメ] うちの母娘と男の子!お姉さん達の性欲処理に使われるボク.zip 539.1 MB
_HAPPIHENTAI.ORG.png 435.9 kB
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- 【影视】 Natural Language Processing
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收录时间:2017-02-08
文档个数:505
文档大小:1.4 GB
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17 - Week 6 - Dependency Parsing (Optional)/17 - 2 - Greedy Transition-Based Parsing (31_05).mp4 32.9 MB
11 - Week 5 - Advanced Maximum Entropy Models/11 - 4 - Smoothing_Regularization_Priors for Maxent Models (29_24).mp4 30.2 MB
15 - Week 6 - Probabilistic Parsing/15 - 3 - CKY Parsing (23_25).mp4 27.5 MB
14 - Week 5 - Instructor Chat/14 - 1 - Instructor Chat (9_02).mp4 24.9 MB
15 - Week 6 - Probabilistic Parsing/15 - 4 - CKY Example (21_52).mp4 24.6 MB
16 - Week 6 - Lexicalized Parsing/16 - 4 - The Return of Unlexicalized PCFGs (20_53).mp4 22.2 MB
18 - Week 7 - Information Retrieval/18 - 5 - Phrase Queries and Positional Indexes (19_45).mp4 21.6 MB
20 - Week 8.1 - Semantics/20 - 3 - Word Similarity and Thesaurus Methods (16_17).mp4 21.2 MB
16 - Week 6 - Lexicalized Parsing/16 - 2 - Charniak's Model (18_23).mp4 19.9 MB
07 - Week 3 - Sentiment Analysis/7 - 4 - Learning Sentiment Lexicons (14_45).mp4 19.6 MB
23 - Week 8 - Instructor Chat II/23 - 1 - Instructor Chat II (5_23).mp4 19.5 MB
05 - Week 2 - Spelling Correction/5 - 2 - The Noisy Channel Model of Spelling (19_30).mp4 18.7 MB
11 - Week 5 - Advanced Maximum Entropy Models/11 - 1 - The Maximum Entropy Model Presentation (12_14).mp4 18.1 MB
19 - Week 7 - Ranked Information Retrieval/19 - 6 - The Vector Space Model (16_22).mp4 17.8 MB
08 - Week 4 - Discriminative classifiers Maximum Entropy classifiers/8 - 2 - Making features from text for discriminative NLP models (18_11).mp4 17.5 MB
15 - Week 6 - Probabilistic Parsing/15 - 1 - CFGs and PCFGs (15_29).mp4 17.5 MB
06 - Week 3 - Text Classification/6 - 7 - Precision, Recall, and the F measure (16_16).mp4 16.5 MB
20 - Week 8.1 - Semantics/20 - 4 - Word Similarity_ Distributional Similarity I (13_14).mp4 15.8 MB
20 - Week 8.1 - Semantics/20 - 1 - Word Senses and Word Relations (11_50).mp4 15.6 MB
12 - Week 5 - POS Tagging/13 - 3 - The Exponential Problem in Parsing (14_30).mp4 15.6 MB
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- 【影视】 Pluralsight - Streams, Collectors, and Optionals for Data Processing in Java 8
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01. Connecting Streams toCustom SourcesThe SpliteratorPattern/01_01-Introduction to the Course.mp4 3.3 MB
01. Connecting Streams toCustom SourcesThe SpliteratorPattern/01_02-What Are You Going to Learn in This Course.mp4 3.8 MB
01. Connecting Streams toCustom SourcesThe SpliteratorPattern/01_03-What Should You Know to Follow This Course Agenda of This Module.mp4 3.5 MB
01. Connecting Streams toCustom SourcesThe SpliteratorPattern/01_04-What Is a Spliterator.mp4 6.4 MB
01. Connecting Streams toCustom SourcesThe SpliteratorPattern/01_05-The Spliterator Interface, What Do We Need to Implement.mp4 7.1 MB
01. Connecting Streams toCustom SourcesThe SpliteratorPattern/01_06-The ArrayListSpliterator the tryAdvance Method.mp4 4.2 MB
01. Connecting Streams toCustom SourcesThe SpliteratorPattern/01_07-The ArrayListSpliterator the trySplit Method.mp4 4.7 MB
01. Connecting Streams toCustom SourcesThe SpliteratorPattern/01_08-Introduction to the Live Coding How to Write a Spliterator.mp4 4.2 MB
01. Connecting Streams toCustom SourcesThe SpliteratorPattern/01_09-Using Our Own Spliterator Setting up the Application.mp4 5.7 MB
01. Connecting Streams toCustom SourcesThe SpliteratorPattern/01_10-Using Our Own Spliterator Writing the Use Case Pattern.mp4 6.2 MB
01. Connecting Streams toCustom SourcesThe SpliteratorPattern/01_11-Implementing Our Own Spliterator The First Methods.mp4 10.0 MB
01. Connecting Streams toCustom SourcesThe SpliteratorPattern/01_12-Implementing Our Own Spliterator The tryAdvance Method.mp4 11.8 MB
01. Connecting Streams toCustom SourcesThe SpliteratorPattern/01_13-Implementing the tryAdvance Method Setting the Returned Object.mp4 6.1 MB
01. Connecting Streams toCustom SourcesThe SpliteratorPattern/01_14-Implementing Our Own Spliterator Running the Example.mp4 3.9 MB
01. Connecting Streams toCustom SourcesThe SpliteratorPattern/01_15-Live Coding Session Wrapup.mp4 1.4 MB
01. Connecting Streams toCustom SourcesThe SpliteratorPattern/01_16-Module Wrapup.mp4 1.8 MB
02. Advanced Java 8 Stream Patterns FlatMap, Streams of Numbers/02_01-Introduction and Agenda of the module.mp4 2.1 MB
02. Advanced Java 8 Stream Patterns FlatMap, Streams of Numbers/02_02-Concatenating Streams The Stream.concat Pattern.mp4 4.8 MB
02. Advanced Java 8 Stream Patterns FlatMap, Streams of Numbers/02_03-Merging Streams The Stream.of and flatMap Pattern.mp4 4.0 MB
02. Advanced Java 8 Stream Patterns FlatMap, Streams of Numbers/02_04-How Does the flatMap Pattern Work Examples.mp4 3.1 MB
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- 【影视】 Lynda.com - Shooting and Processing High Dynamic Range Photographs (HDR)
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01 Introduction/83840_01_02_LA11_whatYouNeed.mov 34.8 MB
01 Introduction/83840_01_01_MM01_welcome.mov 20.4 MB
01 Introduction/83840_01_03_SC12_ExFiles.mov 4.2 MB
02 What Is HDR/83840_02_05_LA11_shootProcess.mov 67.1 MB
02 What Is HDR/83840_02_02_LA11_bitDepth.mov 54.6 MB
02 What Is HDR/83840_02_07_MM11_whatToDoWith.mov 45.5 MB
02 What Is HDR/83840_02_04_LA11_threeMethods.mov 44.5 MB
02 What Is HDR/83840_02_01_LA11_dynRangeDefined.mov 43.7 MB
02 What Is HDR/83840_02_06_LA11_singleShotHDR.mov 30.8 MB
02 What Is HDR/83840_02_03_LA11_sensorShadows.mov 29.0 MB
03 Shooting and Organizing HDR/83840_03_02_LA11_shootingHDR.mov 175.8 MB
03 Shooting and Organizing HDR/83840_03_03_SC12_workflow_org.mov 13.9 MB
03 Shooting and Organizing HDR/83840_03_01_SC12_findSubjects.mov 9.8 MB
04 Expanding Dynamic Range Through Masking/83840_04_02_SC02_moreMasking.mov 17.8 MB
04 Expanding Dynamic Range Through Masking/83840_04_01_SC12_gradientMasks.mov 9.7 MB
04 Expanding Dynamic Range Through Masking/83840_04_03_SC02_brushMasking.mov 9.6 MB
05 Processing Multi-Shot HDR Images in Photoshop CS5/83840_05_02_SC12_HDRPhotomatix.mov 37.3 MB
05 Processing Multi-Shot HDR Images in Photoshop CS5/83840_05_01_SC02_HDRInPS.mov 21.5 MB
05 Processing Multi-Shot HDR Images in Photoshop CS5/83840_05_03_SC02_HDRInHDREfex.mov 21.1 MB
05 Processing Multi-Shot HDR Images in Photoshop CS5/83840_05_13_SC12_BatchPhotomatix.mov 12.7 MB
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- 【影视】 Lynda - CompTIA A+ Exam Prep (220-901) Part 1: Core Processing
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收录时间:2017-02-10
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4 BIOS/497308_04_03 - System setup.mp4 34.5 MB
4 BIOS/497308_04_01 - What is the BIOS_.mp4 37.2 MB
4 BIOS/497308_04_04 - Troubleshooting BIOS.mp4 67.1 MB
4 BIOS/497308_04_02 - POST.mp4 82.1 MB
2 Microprocessors/497308_02_07 - Installing a CPU.mp4 41.2 MB
2 Microprocessors/497308_02_09 - Liquid cooling.mp4 41.3 MB
2 Microprocessors/497308_02_05 - CPU extensions.mp4 21.3 MB
2 Microprocessors/497308_02_01 - What is a CPU_.mp4 35.2 MB
2 Microprocessors/497308_02_04 - 32-bit vs. 64-bit processing.mp4 39.1 MB
2 Microprocessors/497308_02_06 - CPU sockets.mp4 89.7 MB
2 Microprocessors/497308_02_03 - CPU caches.mp4 68.0 MB
2 Microprocessors/497308_02_02 - CPU speeds and cores.mp4 73.8 MB
2 Microprocessors/497308_02_08 - Cooling your PC.mp4 46.8 MB
3 RAM/497308_03_05 - Troubleshooting RAM.mp4 53.6 MB
3 RAM/497308_03_03 - Other types of RAM.mp4 49.5 MB
3 RAM/497308_03_04 - Installing RAM.mp4 51.6 MB
3 RAM/497308_03_01 - RAM_ Sticks and speeds.mp4 89.0 MB
3 RAM/497308_03_02 - RAM capacity.mp4 16.7 MB
0 Introduction/497308_00_01 - Welcome.mp4 17.6 MB
1 The Visible Computer/497308_01_02 - Primary PC components.mp4 27.4 MB
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- 【影视】 [ CourseWikia.com ] Intro To Natural Language Processing In Python For Ai
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收录时间:2023-12-19
文档个数:53
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最近下载:2025-05-16
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~Get Your Files Here !/2 - Text Preprocessing/13 - Practical task.mp4 63.5 MB
~Get Your Files Here !/6 - Topic Modelling/25 - What is topic modelling.mp4 59.7 MB
~Get Your Files Here !/1 - Introduction/1 - Introduction to the course.mp4 57.2 MB
~Get Your Files Here !/9 - The Future of NLP/43 - What is deep learning.mp4 55.2 MB
~Get Your Files Here !/3 - Identifying Parts of Speech and Named Entities/17 - Practical task.mp4 54.8 MB
~Get Your Files Here !/8 - Case Study Categorizing Fake News/38 - Processing the text.mp4 53.8 MB
~Get Your Files Here !/6 - Topic Modelling/27 - Latent Dirichlet Allocation.mp4 46.9 MB
~Get Your Files Here !/2 - Text Preprocessing/8 - Regular expressions.mp4 42.6 MB
~Get Your Files Here !/9 - The Future of NLP/44 - Deep learning for NLP.mp4 41.0 MB
~Get Your Files Here !/9 - The Future of NLP/45 - NonEnglish NLP.mp4 40.3 MB
~Get Your Files Here !/8 - Case Study Categorizing Fake News/36 - Exploring our data through POS tags.mp4 39.8 MB
~Get Your Files Here !/4 - Sentiment Analysis/18 - What is sentiment analysis.mp4 39.0 MB
~Get Your Files Here !/8 - Case Study Categorizing Fake News/41 - What topics appear in fake news Part 2.mp4 36.1 MB
~Get Your Files Here !/2 - Text Preprocessing/5 - The importance of data preparation.mp4 35.4 MB
~Get Your Files Here !/5 - Vectorizing Text/22 - Numerical representation of text.mp4 35.0 MB
~Get Your Files Here !/6 - Topic Modelling/29 - Latent Semantic Analysis.mp4 34.6 MB
~Get Your Files Here !/1 - Introduction/2 - Introduction to NLP.mp4 34.2 MB
~Get Your Files Here !/4 - Sentiment Analysis/21 - Practical task.mp4 33.3 MB
~Get Your Files Here !/6 - Topic Modelling/26 - When to use topic modelling.mp4 32.8 MB
~Get Your Files Here !/8 - Case Study Categorizing Fake News/42 - Categorizing fake news with a custom classifier.mp4 32.3 MB
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- 【文档书籍】 Hydrocarbon Processing
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2012/HP 2012-05.pdf 52.0 MB
2012/HP 2012-04.pdf 35.4 MB
2009/HP 2009-01.exe 32.1 MB
2012/HP 2012-07.pdf 53.4 MB
2012/HP 2012-09.pdf 41.6 MB
2012/HP 2012-08.pdf 37.8 MB
2012/HP 2012-03.pdf 24.2 MB
2012/HP 2012-02.pdf 29.9 MB
2011/HP 2011-09.pdf 45.5 MB
2011/HP 2011-08.pdf 19.0 MB
2011/HP 2011-10.pdf 46.6 MB
2011/HP 2011-11.pdf 33.6 MB
2012/HP 2012-01.pdf 32.7 MB
2011/HP 2011-12.pdf 30.7 MB
2012/HP 2012-10.pdf 35.3 MB
2012/HP 2012-11.pdf 36.0 MB
2013/HP 2013-08.pdf 38.3 MB
2013/HP 2013-07.pdf 41.1 MB
2013/HP 2013-09.pdf 61.5 MB
2013/HP 2013-10.pdf 65.1 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Machine Learning Natural Language Processing in Python (V2)
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18. Recurrent Neural Networks/9. Parts-of-Speech (POS) Tagging in Tensorflow.mp4 152.2 MB
3. Vector Models and Text Preprocessing/14. TF-IDF (Code).mp4 131.0 MB
16. Feedforward Artificial Neural Networks/13. CBOW in Tensorflow (Advanced).mp4 123.3 MB
21. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
9. Spam Detection/6. Spam Detection in Python.mp4 112.8 MB
7. Cipher Decryption (Advanced)/4. Genetic Algorithms.mp4 110.3 MB
3. Vector Models and Text Preprocessing/10. Count Vectorizer (Code).mp4 106.9 MB
6. Article Spinner (Intermediate)/4. Article Spinner in Python (pt 1).mp4 100.6 MB
16. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 93.7 MB
17. Convolutional Neural Networks/6. CNN Architecture.mp4 93.6 MB
11. Text Summarization/8. TextRank in Python (Advanced).mp4 86.3 MB
18. Recurrent Neural Networks/6. GRU and LSTM (pt 1).mp4 86.3 MB
13. Latent Semantic Analysis (Latent Semantic Indexing)/2. SVD (Singular Value Decomposition) Intuition.mp4 85.8 MB
15. The Neuron/4. Text Classification in Tensorflow.mp4 85.6 MB
17. Convolutional Neural Networks/2. What is Convolution.mp4 83.7 MB
3. Vector Models and Text Preprocessing/16. How to Build TF-IDF From Scratch.mp4 83.7 MB
21. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.5 MB
11. Text Summarization/4. Text Summarization in Python.mp4 81.9 MB
6. Article Spinner (Intermediate)/5. Article Spinner in Python (pt 2).mp4 79.0 MB
17. Convolutional Neural Networks/5. Convolution on Color Images.mp4 78.9 MB
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- 【压缩文件】 [ FreeCourseWeb.com ] CloudAcademy - Processing IoT Hub Events and Data.zip
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[ FreeCourseWeb.com ] CloudAcademy - Processing IoT Hub Events and Data.zip 1.0 GB
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- 【影视】 [Tutorialsplanet.NET] Udemy - Signal processing problems, solved in MATLAB and in Python
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收录时间:2021-04-18
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3. Spectral and rhythmicity analyses/3. Fourier transform for spectral analyses.mp4 182.4 MB
10. Feature detection/6. Application Detect muscle movements from EMG recordings.mp4 158.8 MB
7. Wavelet analysis/8. MATLAB Time-frequency analysis with complex wavelets.mp4 147.2 MB
7. Wavelet analysis/5. Wavelet convolution for narrowband filtering.mp4 142.5 MB
10. Feature detection/4. Wavelet convolution for feature extraction.mp4 142.4 MB
11. Variability/3. Signal-to-noise ratio (SNR).mp4 139.2 MB
10. Feature detection/7. Full width at half-maximum.mp4 137.7 MB
10. Feature detection/2. Local maxima and minima.mp4 132.8 MB
8. Resampling, interpolating, extrapolating/9. Dynamic time warping.mp4 128.5 MB
3. Spectral and rhythmicity analyses/4. Welch's method and windowing.mp4 127.8 MB
5. Filtering/3. FIR filters with firls.mp4 125.7 MB
3. Spectral and rhythmicity analyses/2. Crash course on the Fourier transform.mp4 122.5 MB
5. Filtering/2. Filtering Intuition, goals, and types.mp4 120.8 MB
11. Variability/5. Entropy.mp4 117.8 MB
8. Resampling, interpolating, extrapolating/3. Downsampling.mp4 116.1 MB
2. Time series denoising/8. Remove nonlinear trend with polynomials.mp4 114.6 MB
10. Feature detection/3. Recover signal from noise amplitude.mp4 109.4 MB
8. Resampling, interpolating, extrapolating/2. Upsampling.mp4 105.8 MB
6. Convolution/3. Convolution in MATLAB.mp4 105.6 MB
5. Filtering/7. Avoid edge effects with reflection.mp4 104.1 MB
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- 【压缩文件】 [ DevCourseWeb.com ] Udemy - Natural Language Processing with Machine Learning in Python.zip
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[ DevCourseWeb.com ] Udemy - Natural Language Processing with Machine Learning in Python.zip 1.6 GB
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- 【影视】 Mastering Natural Language Processing (NLP) with Deep Learning
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收录时间:2024-05-25
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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
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- 【影视】 [ TutGator.com ] PluralSight - Processing Streaming Data With Apache Spark On Databricks
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~Get Your Files Here !/04. Executing SQL Queries on Streaming Data/29. Demo-Checkpointing.mp4 17.7 MB
~Get Your Files Here !/04. Executing SQL Queries on Streaming Data/23. Demo-Executing SQL Queries to Process Streams.mp4 14.4 MB
~Get Your Files Here !/03. Applying Transformations on Streaming Data/15. Demo-Auto Loader and Rescued Data.mp4 13.3 MB
~Get Your Files Here !/03. Applying Transformations on Streaming Data/17. Demo-Performing Transformations on Streams.mp4 11.4 MB
~Get Your Files Here !/02. Overview of the Streaming Architecture in Apache Spark/09. Demo-Processing and Visualizing Streams.mp4 11.1 MB
~Get Your Files Here !/02. Overview of the Streaming Architecture in Apache Spark/07. Demo-Reading Batch and Streaming Data.mp4 10.7 MB
~Get Your Files Here !/02. Overview of the Streaming Architecture in Apache Spark/03. Batch Processing vs. Stream Processing.mp4 10.4 MB
~Get Your Files Here !/03. Applying Transformations on Streaming Data/16. Demo Writing Streams to File Sinks.mp4 9.8 MB
~Get Your Files Here !/04. Executing SQL Queries on Streaming Data/30. Demo-Running a Streaming Job on a Cluster.mp4 9.5 MB
~Get Your Files Here !/04. Executing SQL Queries on Streaming Data/24. Demo-Creating an AWS User and S3 Bucket.mp4 9.4 MB
~Get Your Files Here !/03. Applying Transformations on Streaming Data/14. Auto Loader.mp4 9.3 MB
~Get Your Files Here !/02. Overview of the Streaming Architecture in Apache Spark/11. Demo-Configuring Triggers.mp4 8.8 MB
~Get Your Files Here !/04. Executing SQL Queries on Streaming Data/25. Demo-Mounting an S3 Bucket to DBFS.mp4 8.0 MB
~Get Your Files Here !/02. Overview of the Streaming Architecture in Apache Spark/08. Demo-Running a Simple Streaming Query.mp4 7.8 MB
~Get Your Files Here !/02. Overview of the Streaming Architecture in Apache Spark/04. Micro-batch and Continuous Processing.mp4 7.8 MB
~Get Your Files Here !/03. Applying Transformations on Streaming Data/21. Demo-Complete Mode.mp4 7.7 MB
~Get Your Files Here !/03. Applying Transformations on Streaming Data/19. Output Modes.mp4 7.5 MB
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