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【文档书籍】 Artificial intelligence and machine learning

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FUZZY SETS AND FUZZY LOGIC Theory and Applications - GEORGE J. KLIR , BO YUAN.pdf 125.2 MB
Computer Vision 2d ed - Dand h Ballard.pdf 110.2 MB
Multiple View Geometry in Computer Vision 2ed - Hartley R., Zisserman A.pdf 104.0 MB
Handbook Of Mathematical Models In Computer Vision - Nikos Paragios.pdf 101.8 MB
introduction to linear algebra (4th, 2009).pdf 94.3 MB
Learning And Soft Computing - Support Vector Machines, Neural Networks, And Fuzzy Logic Models - Vojislav Kecman.pdf 71.5 MB
probabilistic graphical models - principles and techniques (2009).pdf 69.4 MB
Artificial Intelligence, Structures And Strategies For Complex Problem Solving 3rd ed - George F Luger.pdf 61.8 MB
Computer Vision A Modern Approach - Forsyth , Ponce.pdf 52.7 MB
applied linear statistical models (5th, 2004).pdf 52.2 MB
calculus (spivak, 3rd, 1994).pdf 50.7 MB
introduction to evolutionary computing (2003).pdf 47.1 MB
all of statistics - a concise course in statistical inference (2010).pdf 47.1 MB
an introduction to probability theory and applications (vol2, 1971).pdf 44.1 MB
machine learning - an algorithmic perspective (2009).pdf 44.0 MB
Neural Networks - A Comprehensive Foundation - Simon Haykin.pdf 42.4 MB
Pattern recognition and image preprocessing 2nd ed -Sing T. Bow.pdf 39.0 MB
Machine Learning - Tom Mitchell.pdf 38.8 MB
machine learning (1997).pdf 38.8 MB
Artificial Intelligence A Modern Approach - Stuart J. Russell , Peter Norvig.pdf 38.0 MB

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【压缩文件】 [DesireCourse.Net] Udemy - Deep Learning Prerequisites Logistic Regression in Python

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【压缩文件】 [DesireCourse.Com] Udemy - Python for Data Science and Machine Learning Bootcamp

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【影视】 Machine Learning, Data Science and Deep Learning with Python

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Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/7. [Activity] Decision Trees in Spark.mp4 202.6 MB
Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/3. [Activity] Installing Spark - Part 2.mp4 180.7 MB
Machine Learning, Data Science and Deep Learning with Python/6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4 149.0 MB
Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4 148.5 MB
Machine Learning, Data Science and Deep Learning with Python/1. Getting Started/5. Python Basics, Part 1 [Optional].mp4 140.3 MB
Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/8. [Activity] K-Means Clustering in Spark.mp4 140.3 MB
Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 2.mp4 140.1 MB
Machine Learning, Data Science and Deep Learning with Python/5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4 139.0 MB
Machine Learning, Data Science and Deep Learning with Python/6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 138.7 MB
Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/10. [Exercise] Conditional Probability.mp4 136.7 MB
Machine Learning, Data Science and Deep Learning with Python/7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 135.7 MB
Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/8. [Activity] A Crash Course in matplotlib.mp4 135.6 MB
Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/14. The Ethics of Deep Learning.mp4 134.5 MB
Machine Learning, Data Science and Deep Learning with Python/1. Getting Started/8. Introducing the Pandas Library [Optional].mp4 134.1 MB
Machine Learning, Data Science and Deep Learning with Python/3. Predictive Models/3. [Activity] Multivariate Regression, and Predicting Car Prices.mp4 129.8 MB
Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/9. [Activity] Covariance and Correlation.mp4 122.4 MB
Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/7. [Activity] Percentiles and Moments.mp4 119.6 MB
Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/11. [Activity] Using the Spark 2.0 DataFrame API for MLLib.mp4 119.3 MB
Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/10. [Activity] Searching Wikipedia with Spark.mp4 116.9 MB
Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/4. [Activity] Variation and Standard Deviation.mp4 116.2 MB

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【影视】 [FreeCourseSite.com] Udemy - Deep Learning A-Z 2025 Neural Networks, AI & ChatGPT Prize

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06. CNN Intuition/8. How Do Fully Connected Layers Work in Convolutional Neural Networks (CNNs).mp4 192.2 MB
07. Building a CNN/7. Develop an Image Recognition System Using Convolutional Neural Networks.mp4 161.6 MB
09. RNN Intuition/6. How LSTMs Work in Practice Visualizing Neural Network Predictions.mp4 159.4 MB
18. Building a Boltzmann Machine/16. Step 13 - RBM Training Updating Weights and Biases with Contrastive Divergence.mp4 151.1 MB
17. Boltzmann Machine Intuition/5. How Restricted Boltzmann Machines Work Deep Learning for Recommender Systems.mp4 149.4 MB
13. SOMs Intuition/8. Understanding K-Means Clustering Intuitive Explanation with Visual Examples.mp4 132.4 MB
10. Building a RNN/14. Step 13 - Preparing Historical Stock Data for LSTM Model Scaling and Reshaping.mp4 132.0 MB
07. Building a CNN/3. Step 2 - Deep Learning Preprocessing Scaling & Transforming Images for CNNs.mp4 115.2 MB
09. RNN Intuition/3. What is a Recurrent Neural Network (RNN) Deep Learning for Sequential Data.mp4 113.5 MB
21. Building an AutoEncoder/7. Step 4 - Prepare Data for Autoencoder Creating User-Movie Rating Matrices.mp4 109.1 MB
10. Building a RNN/5. Step 4 - Building X_train and y_train Arrays for LSTM Time Series Forecasting.mp4 108.8 MB
18. Building a Boltzmann Machine/7. Step 4 - Convert Training & Test Sets to RBM-Ready Arrays in Python.mp4 108.3 MB
18. Building a Boltzmann Machine/13. Step 10 - RBM Training Function Updating Weights and Biases with Gibbs Sampling.mp4 104.1 MB
21. Building an AutoEncoder/3. Step 1 - Building a Movie Recommendation System with AutoEncoders Data Import.mp4 103.9 MB
13. SOMs Intuition/5. How Self-Organizing Maps (SOMs) Learn Unsupervised Deep Learning Explained.mp4 103.8 MB
06. CNN Intuition/6. Understanding Spatial Invariance in CNNs Max Pooling Explained for Beginners.mp4 94.5 MB
17. Boltzmann Machine Intuition/2. Boltzmann Machines vs. Neural Networks Key Differences in Deep Learning.mp4 91.6 MB
06. CNN Intuition/4. How to Apply Convolution Filters in Neural Networks Feature Detection Explained.mp4 89.6 MB
20. AutoEncoders Intuition/2. Autoencoders in Machine Learning Applications and Architecture Overview.mp4 88.3 MB
10. Building a RNN/6. Step 5 - Preparing Time Series Data for LSTM Neural Network in Stock Forecasting.mp4 84.3 MB

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【文档书籍】 Ranjan S. Applied Deep Learning and Computer Vision...Cars 2020

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Ranjan S. Applied Deep Learning and Computer Vision for Self-Driving Cars 2020.pdf 97.4 MB

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【压缩文件】 [FreeCoursesOnline.Me] [LINKEDIN LEARNING] Building a Web Application on Microsoft Azure - [FCO]

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Ex.Files.Building.Web.App.Azure.zip 130.7 MB
05-Data.Consumption.in.the.Application/03.Reading.data.from.table.storage.to.display.order.history.mp4 21.7 MB
08-Packaging.the.Resources/02.Deleting.the.app.and.redeploying.mp4 21.1 MB
04-Data.Admin.in.the.Application/02.Update.product.admin.to.save.products.to.Cosmos.DB.mp4 19.9 MB
06-Creating.the.Azure.Function/02.Implement.Function.logic.mp4 19.4 MB
03-Creating.the.Web.App.and.API.on.Azure/03.Add.API.documentation.mp4 19.4 MB
07-Building.the.Logic.App/02.Define.the.Logic.App.logic.mp4 18.7 MB
06-Creating.the.Azure.Function/01.Set.up.an.Azure.Functions.project.mp4 15.4 MB
08-Packaging.the.Resources/03.Create.resources.and.deploy.apps.mp4 15.2 MB
04-Data.Admin.in.the.Application/04.Save.an.image.to.Blob.storage.mp4 14.5 MB
04-Data.Admin.in.the.Application/06.Update.ordering.code.to.write.to.queue.mp4 13.9 MB
06-Creating.the.Azure.Function/04.Publish.the.function.to.Azure.and.test.mp4 13.7 MB
04-Data.Admin.in.the.Application/05.Add.an.image.link.to.Cosmos.DB.mp4 11.9 MB
08-Packaging.the.Resources/01.Exporting.the.ARM.template.mp4 11.6 MB
04-Data.Admin.in.the.Application/01.Create.Cosmos.DB.resources.mp4 11.4 MB
05-Data.Consumption.in.the.Application/02.Retrieve.a.single.product.detail.from.Cosmos.DB.mp4 11.2 MB
05-Data.Consumption.in.the.Application/01.Retrieve.a.list.of.products.from.Cosmos.DB.mp4 10.9 MB
04-Data.Admin.in.the.Application/03.Create.Blob.Queue.and.Table.storage.resources.mp4 10.0 MB
06-Creating.the.Azure.Function/03.Test.the.function.locally.mp4 9.7 MB
03-Creating.the.Web.App.and.API.on.Azure/01.Exploring.the.existing.application.code.mp4 9.6 MB

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【影视】 [ DevCourseWeb.com ] Udemy - Python for Machine Learning - The Complete Beginner's Course

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~Get Your Files Here !/3. Multiple Linear Regression/3. Implementation in python Encoding Categorical Data.mp4 30.3 MB
~Get Your Files Here !/4. Classification Algorithms K-Nearest Neighbors/7. Implementation in python Splitting data into Train and Test Sets.mp4 20.6 MB
~Get Your Files Here !/8. Recommender System/6. Sorting by title and rating.mp4 20.3 MB
~Get Your Files Here !/7. Clustering/6. Implementation in python.mp4 19.9 MB
~Get Your Files Here !/3. Multiple Linear Regression/6. Implementation in python Predicting the Test Set results.mp4 18.7 MB
~Get Your Files Here !/5. Classification Algorithms Decision Tree/6. Implementation in python Encoding Categorical Data.mp4 17.8 MB
~Get Your Files Here !/1. Introduction to Machine Learning/6. Supervised learning vs Unsupervised learning.mp4 15.0 MB
~Get Your Files Here !/6. Classification Algorithms Logistic regression/7. Implementation in python Results prediction & Confusion matrix.mp4 14.1 MB
~Get Your Files Here !/3. Multiple Linear Regression/2. Implementation in python Exploring the dataset.mp4 14.0 MB
~Get Your Files Here !/8. Recommender System/13. Correlation between the most-rated movies.mp4 13.9 MB
~Get Your Files Here !/2. Simple Linear Regression/6. Implementation in python Creating a linear regression object.mp4 13.9 MB
~Get Your Files Here !/6. Classification Algorithms Logistic regression/5. Implementation in python Pre-processing.mp4 13.8 MB
~Get Your Files Here !/7. Clustering/14. 3D Visualization of the predicted values.mp4 13.5 MB
~Get Your Files Here !/7. Clustering/10. Importing the dataset.mp4 13.4 MB
~Get Your Files Here !/8. Recommender System/17. Repeating the process for another movie.mp4 13.3 MB
~Get Your Files Here !/4. Classification Algorithms K-Nearest Neighbors/9. Implementation in python Importing the KNN classifier.mp4 13.1 MB
~Get Your Files Here !/7. Clustering/11. Visualizing the dataset.mp4 13.0 MB
~Get Your Files Here !/3. Multiple Linear Regression/8. Root Mean Squared Error in Python.mp4 12.4 MB
~Get Your Files Here !/8. Recommender System/10. Data pre-processing.mp4 11.3 MB
~Get Your Files Here !/6. Classification Algorithms Logistic regression/8. Logistic Regression vs Linear Regression.mp4 11.3 MB

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【文档书籍】 Stamp M. Introduction to Machine Learning with App 2ed 2023

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【压缩文件】 [ FreeCourseWeb.com ] Lynda - Applied Machine Learning- Algorithms.rar

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【文档书籍】 Dulhare U. Machine Learning and Big Data. Concepts,...App 2021

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28- Solution - Modularize your code.mp4 50.7 MB
18- Instance.mp4 28.5 MB
21- Load balancer.mp4 25.5 MB
23- Solution - AutoScaling group.mp4 25.5 MB
17- Security group.mp4 24.5 MB
20- Get ready to scale.mp4 20.4 MB
10- Terraform state.mp4 17.5 MB
25- Split out your data.mp4 17.5 MB
05- Setting up AWS for Terraform.mp4 15.2 MB
06- Your Terraform code repository.mp4 14.8 MB
16- Expanding your installation.mp4 13.7 MB
19- Static IP.mp4 12.5 MB
09- Terraform plan.mp4 12.1 MB
04- Installing Terraform.mp4 10.2 MB
07- Initial deployment.mp4 8.5 MB
26- Modules.mp4 8.0 MB
11- Terraform graph.mp4 7.6 MB
12- Terraform apply.mp4 7.4 MB
08- How Terraform works.mp4 5.6 MB
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Art of Teaching (Audio)/00. Professor Bio.mp3 1.1 MB
Art of Teaching (Audio)/01. Successful Teaching.mp3 17.7 MB
Art of Teaching (Audio)/02. The Broad Range of Learners.mp3 15.5 MB
Art of Teaching (Audio)/03. Starting Out Right.mp3 16.3 MB
Art of Teaching (Audio)/04. The Teacher's Persona.mp3 15.2 MB
Art of Teaching (Audio)/05. Planning the Work.mp3 16.9 MB
Art of Teaching (Audio)/06. The Teacher-Student Relationship.mp3 17.5 MB
Art of Teaching (Audio)/07. Dynamic Lecturing.mp3 17.5 MB
Art of Teaching (Audio)/08. Teaching with PowerPoint.mp3 17.5 MB
Art of Teaching (Audio)/09. Demonstrations, Old and New.mp3 16.5 MB
Art of Teaching (Audio)/10. Teaching the Critical Skills.mp3 17.9 MB
Art of Teaching (Audio)/11. Engaging with Discussion, Part 1.mp3 17.3 MB
Art of Teaching (Audio)/12. Engaging with Discussion, Part 2.mp3 17.2 MB
Art of Teaching (Audio)/13. Cogent Thinking and Effective Writing.mp3 18.1 MB
Art of Teaching (Audio)/14. Teaching Revision and Editing.mp3 19.2 MB
Art of Teaching (Audio)/15. Coaching Students on Presentation Skills.mp3 16.8 MB
Art of Teaching (Audio)/16. One-on-One Teaching.mp3 16.7 MB
Art of Teaching (Audio)/17. The Learner's Perspective.mp3 17.0 MB
Art of Teaching (Audio)/18. Exams, Evaluation, and Feedback.mp3 18.8 MB
Art of Teaching (Audio)/19. Maintaining Your Enthusiasm.mp3 16.2 MB

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