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- 【压缩文件】 Packt Publishing - R Machine Learning solutions
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Packt Publishing - R Machine Learning solutions.iso 2.0 GB
More_info.txt 287 Bytes
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- 【压缩文件】 video2brain - Learning AutoCAD 2013
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video2brain - Learning AutoCAD 2013.rar 1.9 GB
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- 【压缩文件】 pluralsight learning by perl.rar
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pluralsight learning by perl.rar 1.9 GB
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- 【压缩文件】 [ CourseBoat.com ] Udemy - Drupal 8 Learning for Beginners - Drupal Masterclass.zip
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[ CourseBoat.com ] Udemy - Drupal 8 Learning for Beginners - Drupal Masterclass.zip 1.9 GB
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- 【压缩文件】 [ FreeCourseWeb.com ] Packt - Applied Deep Learning with TensorFlow and Google Cloud AI.zip
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[ FreeCourseWeb.com ] Packt - Applied Deep Learning with TensorFlow and Google Cloud AI.zip 1.9 GB
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- 【压缩文件】 [ FreeCourseWeb.com ] Udemy - Deploy Machine Learning Models on GCP + AWS Lambda (Docker).zip
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[ FreeCourseWeb.com ] Udemy - Deploy Machine Learning Models on GCP + AWS Lambda (Docker).zip 1.9 GB
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- 【压缩文件】 Lynda - Learning Photoshop Elements 2018
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收录时间:2018-09-05
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001 Welcome.mp4 7.5 MB
001 Welcome.srt 55 Bytes
002 What you should know.mp4 4.2 MB
002 What you should know.srt 55 Bytes
003 Exercise files.mp4 3.2 MB
003 Exercise files.srt 55 Bytes
004 The role of Photoshop Elements.mp4 3.4 MB
004 The role of Photoshop Elements.srt 55 Bytes
005 Components of Photoshop Elements 2018.mp4 2.7 MB
005 Components of Photoshop Elements 2018.srt 55 Bytes
006 The welcome screen.mp4 6.1 MB
006 The welcome screen.srt 55 Bytes
007 What is the Elements Organizer_.mp4 1.5 MB
007 What is the Elements Organizer_.srt 55 Bytes
008 What is a catalog_.mp4 2.3 MB
008 What is a catalog_.srt 55 Bytes
009 Create a new catalog.mp4 13.0 MB
009 Create a new catalog.srt 55 Bytes
010 Importing photos.mp4 17.3 MB
010 Importing photos.srt 55 Bytes
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- 【压缩文件】 Learning Dressage from KIngs.7z
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Learning Dressage from KIngs.7z 1.9 GB
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- 【压缩文件】 [ FreeCourseWeb.com ] Machine Learning by Andrew Ng.zip
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[ FreeCourseWeb.com ] Machine Learning by Andrew Ng.zip 1.9 GB
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- 【压缩文件】 [ DevCourseWeb.com ] Udemy - Deep Learning with TensorFlow 2.0 [2020].zip
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[ DevCourseWeb.com ] Udemy - Deep Learning with TensorFlow 2.0 [2020].zip 1.9 GB
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- 【压缩文件】 [ CourseBoat.com ] Udemy - Data Science - Deep Learning and Neural Networks in Python.zip
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[ CourseBoat.com ] Udemy - Data Science - Deep Learning and Neural Networks in Python.zip 1.9 GB
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- 【压缩文件】 Video2Brain Learning AutoCAD 2013 (2012)
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收录时间:2018-04-21
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learning_autocad_2013.iso 1.9 GB
NFO.txt 1.3 kB
Mas Cursos Multimedia.url 191 Bytes
DescargasNsN.url 184 Bytes
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- 【压缩文件】 Packt Publishing - Learning Path Python Web Development
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收录时间:2017-02-27
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Packt Publishing - Learning Path Python Web Development.iso 1.9 GB
More_info.txt 658 Bytes
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- 【压缩文件】 Learning Typography for Video Editors
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收录时间:2018-11-05
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Exercise Files/Ex_Files_Learning_Typography_Video_Editors.zip 1.6 GB
1.Introduction/01.The basics of title design.mp4 4.8 MB
2.1. Title Essentials/02.A brief history of typography.en.srt 6.7 kB
2.1. Title Essentials/02.A brief history of typography.mp4 7.4 MB
2.1. Title Essentials/03.Type terms 101.en.srt 4.9 kB
2.1. Title Essentials/03.Type terms 101.mp4 5.5 MB
2.1. Title Essentials/04.Type terms 102.en.srt 4.6 kB
2.1. Title Essentials/04.Type terms 102.mp4 5.3 MB
2.1. Title Essentials/05.Convey emotion through type.en.srt 4.8 kB
2.1. Title Essentials/05.Convey emotion through type.mp4 5.9 MB
2.1. Title Essentials/06.The importance of contrast.en.srt 7.8 kB
2.1. Title Essentials/06.The importance of contrast.mp4 9.8 MB
2.1. Title Essentials/07.The psychology of color.en.srt 8.1 kB
2.1. Title Essentials/07.The psychology of color.mp4 14.0 MB
2.1. Title Essentials/08.Layout and composition.en.srt 11.2 kB
2.1. Title Essentials/08.Layout and composition.mp4 16.5 MB
2.1. Title Essentials/09.Name that font.en.srt 5.6 kB
2.1. Title Essentials/09.Name that font.mp4 8.5 MB
2.1. Title Essentials/10.Type crimes.en.srt 10.0 kB
2.1. Title Essentials/10.Type crimes.mp4 11.9 MB
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- 【压缩文件】 [ FreeCourseWeb.com ] Udemy - Python Spark and Machine Learning.zip
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收录时间:2024-09-27
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[ FreeCourseWeb.com ] Udemy - Python Spark and Machine Learning.zip 1.9 GB
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- 【压缩文件】 [ DevCourseWeb.com ] Udemy - Data Science Practical - Real world Machine Learning Projects.zip
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收录时间:2021-03-26
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[ DevCourseWeb.com ] Udemy - Data Science Practical - Real world Machine Learning Projects.zip 1.9 GB
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- 【压缩文件】 [LinkedIn Learning] Getting Started with AI and Machine Learning - Complete 7 Courses
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Building Computer Vision Applications with Python/Ex_Files_Computer_Vision_Deep_Dive_in_Python.zip 152.8 MB
Building Computer Vision Applications with Python/6 - Fun with Cuts/2. Stitching two images together.mp4 46.3 MB
Machine Learning Foundations Linear Algebra/2 - Vectors Basics/1. Introduction to vectors.mp4 31.4 MB
Building Computer Vision Applications with Python/4 - Filters/3. Median filters.mp4 26.6 MB
Machine Learning Foundations Linear Algebra/1 - Introduction to Linear Algebra/2. Applications of linear algebra in ML.mp4 23.9 MB
Building Computer Vision Applications with Python/3 - From Color to Black and White/4. Adaptive thresholding.mp4 22.0 MB
Building Computer Vision Applications with Python/2 - The Basics of Image Processing/3. Image file management.mp4 20.1 MB
Reinforcement Learning Foundations/1 - Getting Started with Reinforcement Learning/3. Markov decision process.mp4 18.2 MB
Machine Learning Foundations Linear Algebra/3 - Vector Projections and Basis/3. Changing basis of vectors.mp4 18.0 MB
Machine Learning Foundations Linear Algebra/5 - Gaussian Elimination/1. Solving linear equations using Gaussian elimination.mp4 17.9 MB
Artificial Intelligence Foundations Thinking Machines/3 - Finding the Right Approach/1. Match patterns.mp4 16.3 MB
Artificial Intelligence Foundations Neural Networks/3 - Other Types of Neural Networks/1. Convolutional neural networks (CNN).mp4 16.3 MB
Reinforcement Learning Foundations/4 - Temporal Difference Methods/2. SARSA.mp4 15.9 MB
Reinforcement Learning Foundations/1 - Getting Started with Reinforcement Learning/2. A basic RL problem.mp4 15.8 MB
Artificial Intelligence Foundations Thinking Machines/4 - Common AI Programs/2. Natural language processing.mp4 15.2 MB
Machine Learning Foundations Linear Algebra/6 - Matrices from Orthogonality to Gram–Schmidt Process/2. Transforming to the new basis.mp4 15.1 MB
Hands-On PyTorch Machine Learning/5 - Torchtext/2. Torchtext for translation.mp4 15.0 MB
Artificial Intelligence Foundations Thinking Machines/4 - Common AI Programs/1. Robotics.mp4 14.9 MB
Building Computer Vision Applications with Python/4 - Filters/5. Edge detection filters.mp4 14.9 MB
Artificial Intelligence Foundations Thinking Machines/2 - The Rise of Machine Learning/3. Perceptrons.mp4 14.8 MB
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- 【压缩文件】 [ FreeCourseWeb.com ] Udemy - SolidWorks 2020 Learning by Doing 1. Car Canopy Design.zip
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收录时间:2021-05-13
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[ FreeCourseWeb.com ] Udemy - SolidWorks 2020 Learning by Doing 1. Car Canopy Design.zip 1.9 GB
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- 【压缩文件】 Pluralsight Path. Deep Learning Literacy. Practical Application (2022)
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收录时间:2023-12-30
文档个数:486
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C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/exercise.7z 73.1 MB
C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/4. Fine-tuning Word Representations/2. Demo - Fine Tuning Glove and FastText.mp4 67.6 MB
C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/3. Training Word Representations/6. Demo - Training a CBOW Embedding.mp4 42.4 MB
C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/4. Fine-tuning Word Representations/4. Demo - Debiase Word Embeddings.mp4 40.3 MB
C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/3. Training Word Representations/3. Demo - Using OHE.mp4 33.5 MB
C3. Build an Object Detection Model with Python (Gabrielle Davelaar, 2022)/2. Preparing Data for Model Training/3. Demo - Bringing It into Practice.mp4 31.4 MB
C4. Build a Model for Anomaly Detection in Time Series Data (Pratheerth Padman, 2022)/3. Building a Model to Automate Anomaly Detection/07. Demo - Exploratory Data Analysis and Data Cleaning.mp4 30.6 MB
C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/3. Training Word Representations/7. Demo - Reanalyze Sentiment with a Network-based Embedding.mp4 27.7 MB
B3. Implement Image Captioning with Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/exercise.7z 27.3 MB
B3. Implement Image Captioning with Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/3. Preparing Data for Image Captioning Models/2. Demo - Load and Explore the Dataset.mp4 26.3 MB
C3. Build an Object Detection Model with Python (Gabrielle Davelaar, 2022)/3. Training/4. Training a Model - Scripted and PaaS.mp4 24.4 MB
C4. Build a Model for Anomaly Detection in Time Series Data (Pratheerth Padman, 2022)/3. Building a Model to Automate Anomaly Detection/09. Demo - Building a Model for Anomaly Detection.mp4 23.5 MB
C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/3. Training Word Representations/4. Demo - Analyzing Sentiment with OHE.mp4 23.5 MB
C2. Build a Rating Recommendation Engine with Collaborative Filtering (Pratheerth Padman, 2022)/3. Memory-based Collaborative Filtering/5. Demo - User-based Collaborative Filtering.mp4 23.0 MB
B3. Implement Image Captioning with Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/3. Preparing Data for Image Captioning Models/3. Demo - Pre-processing the Images Data.mp4 22.7 MB
C1. Implement Natural Language Processing for Word Embedding (Axel Sirota, 2022)/4. Fine-tuning Word Representations/3. Demo - Making Word Clusters.mp4 21.4 MB
C2. Build a Rating Recommendation Engine with Collaborative Filtering (Pratheerth Padman, 2022)/3. Memory-based Collaborative Filtering/6. Demo - Item-based Collaborative Filtering.mp4 21.2 MB
B3. Implement Image Captioning with Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)/3. Preparing Data for Image Captioning Models/4. Demo - Pre-processing the Captions Data.mp4 20.6 MB
C3. Build an Object Detection Model with Python (Gabrielle Davelaar, 2022)/4. Deployment/2. Drift, Retaining, and Model Store.mp4 20.1 MB
C4. Build a Model for Anomaly Detection in Time Series Data (Pratheerth Padman, 2022)/3. Building a Model to Automate Anomaly Detection/08. Demo - Data Preprocessing and Dimensionality Reduction.mp4 19.2 MB
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- 【压缩文件】 [ FreeCourseWeb.com ] SkillShare - Learning Python Programming A-Z with Real World Simulations.rar
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收录时间:2021-05-02
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[ FreeCourseWeb.com ] SkillShare - Learning Python Programming A-Z with Real World Simulations.rar 1.9 GB
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