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【压缩文件】 1C Learning

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【影视】 [FreeTutorials.Us] Udemy - A-Z Machine Learning using Azure Machine Learning (AzureML)

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7. Regression Analysis/3. [Hands On] - Linear Regression model using OLS.mp4 95.5 MB
12. Text Analytics and Natural Language Processing/5. [Hands On] - Classify Customer Complaints using Text Analytics.mp4 91.7 MB
12. Text Analytics and Natural Language Processing/4. Feature Hashing.mp4 78.8 MB
1. Basics of Machine Learning/4. Why Machine Learning is the Future.mp4 72.1 MB
10. Feature Selection - Select a..highest impact/9. [Hands On] - Fisher Based LDA - Experiment.mp4 64.1 MB
12. Text Analytics and Natural Language Processing/2. Text Pre-Processing.mp4 57.3 MB
4. Classification/2. [Hands On] -Logistic Regression - Build Two-Class Loan Approval Prediction Model.mp4 54.7 MB
3. Data Processing/1. [Hands On] - Data Input-Output - Upload Data.mp4 53.5 MB
13. Thank You and Bonus Lecture/1. Way Forward.mp4 52.4 MB
12. Text Analytics and Natural Language Processing/3. Bag Of Words and N-Gram Models for Text features.mp4 52.4 MB
10. Feature Selection - Select a..highest impact/2. Pearson Correlation Coefficient.mp4 49.5 MB
12. Text Analytics and Natural Language Processing/1. What is Text Analytics or Natural Language Processing.mp4 47.0 MB
3. Data Processing/5. [Hands On] - Apply SQL Transformation, Clean Missing Data, Edit Metadata.mp4 40.8 MB
11. Recommendation System/5. [Hands On] - Restaurant Recommendation Experiment.mp4 37.9 MB
3. Data Processing/6. [Hands On] - Sample and Split Data - Partition or Sample, Train and Test Data.mp4 37.2 MB
4. Classification/12. [Hands On] - Two Class Decision Forest - Adult Census Income Prediction.mp4 36.8 MB
11. Recommendation System/1. What is a Recommendation System.mp4 36.7 MB
8. Clustering/2. [Hands On] - Cluster Analysis Experiment 1.mp4 32.4 MB
4. Classification/1. Logistic Regression - What is Logistic Regression.mp4 32.2 MB
4. Classification/4. Understanding the Confusion Matrix, AUC, Accuracy, Precision, Recall and F1Score.mp4 30.8 MB

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【影视】 [FCO] AppliedAICourse - Applied Machine Learning Course

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1.1 - How to Learn from Appliedaicourse/1.1 - How to Learn from Appliedaicourse.mp4 465.1 MB
34.2 - Productionization and deployment of Machine Learning Models/34.2 - Productionization and deployment of Machine Learning Models.mp4.mkv 280.3 MB
1.2 - How the Job Guarantee program works/1.2 - How the Job Guarantee program works.mp4 255.7 MB
5.1 - Numpy Introduction/5.1 - Numpy Introduction.mp4 164.7 MB
5.2 - Numerical operations on Numpy/5.2 - Numerical operations on Numpy.mp4 163.6 MB
45.9 - Univariate AnalysisGene feature/45.9 - Univariate AnalysisGene feature.mp4 151.2 MB
3.1 - Lists/3.1 - Lists.mp4 148.1 MB
49.6 - Softmax Classifier on MNIST dataset/49.6 - Softmax Classifier on MNIST dataset..mp4 146.9 MB
57.26 - Data Control Language GRANT, REVOKE/57.26 - Data Control Language GRANT, REVOKE.mp4 145.4 MB
51.6 - LSTM/51.6 - LSTM..mp4 143.8 MB
54.4 - Char-RNN with abc-notation Data preparation/54.4 - Char-RNN with abc-notation Data preparation..mp4 138.1 MB
41.9 - EDA Advanced Feature Extraction/41.9 - EDA Advanced Feature Extraction.mp4 137.7 MB
51.10 - Code example IMDB Sentiment classification/51.10 - Code example IMDB Sentiment classification.mp4 128.7 MB
23.5 - Naive Bayes algorithm/23.5 - Naive Bayes algorithm.mp4 122.4 MB
42.13 - Code for bag of words based product similarity/42.13 - Code for bag of words based product similarity.mp4 122.0 MB
50.2 - ConvolutionEdge Detection on images/50.2 - ConvolutionEdge Detection on images..mp4 121.6 MB
23.6 - Toy example Train and test stages/23.6 - Toy example Train and test stages.mp4 121.5 MB
45.13 - Baseline Model Naive Bayes/45.13 - Baseline Model Naive Bayes.mp4 121.0 MB
53.12 - Test and visualize the output/53.12 - Test and visualize the output..mp4 119.3 MB
17.1 - Dataset overview Amazon Fine Food reviews(EDA)/17.1 - Dataset overview Amazon Fine Food reviews(EDA).mp4 116.4 MB

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【影视】 LinkedIn Learning - User Experience for Web Design [AhLaN]

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08-Category and Landing Pages/01-Showing people what youve got.mp4 91.9 MB
13-Summary Good Design Practice/01-Simple consistent and standard design.mp4 52.5 MB
09-Detail and Product Pages/02-Writing descriptive text.mp4 49.3 MB
02-What Makes a Good Web User Experience/01-Building a site for your visitors.mp4 42.2 MB
01-Introduction/01-Welcome.mp4 24.5 MB
04-Navigation/07-Understanding links.mp4 12.5 MB
06-Writing for the Web/03-Formatting pages for information exchange.mp4 8.7 MB
04-Navigation/03-Understanding menus.mp4 7.6 MB
10-Forms/03-Creating form fields.mp4 7.1 MB
05-Site Layout/04-Arranging your content.mp4 7.0 MB
05-Site Layout/03-Creating progressive navigation.mp4 7.0 MB
05-Site Layout/02-Elements every webpage should have.mp4 6.9 MB
11-Using Media to Help Tell Your Story/02-Simple question Does it enhance the experience.mp4 6.8 MB
04-Navigation/09-Understanding Fitts law.mp4 6.8 MB
04-Navigation/06-Adding search to your site.mp4 6.5 MB
08-Category and Landing Pages/03-Creating landing pages from ad campaigns.mp4 6.3 MB
07-Homepage/04-The five-second test.mp4 6.2 MB
14-Conclusion/01-Next steps.mp4 5.7 MB
06-Writing for the Web/01-How people read on the web.mp4 5.7 MB
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【影视】 Python Machine Learning, Deep Learning, Pandas, Matplotlib

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[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/16 Projects/002 Project - 2.mp4 177.5 MB
[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/11 Machine Learning/015 Choosing the right algorithm and model.mp4 156.2 MB
[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/05 Numpy Library/008 Using Numpy in Linear Algebra.mp4 117.6 MB
[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/08 Matplotlib/008 Basic Plots in Matplotlib I.mp4 109.5 MB
[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/07 Data Frame with Pandas/009 Combining Data Frames Part – I.mp4 108.6 MB
[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/16 Projects/001 Project - 1.mp4 106.5 MB
[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/09 Seaborn/005 Basic Plots in Seaborn.mp4 97.3 MB
[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/11 Machine Learning/012 Unsupervised Machine Learning Methods.mp4 92.2 MB
[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/15 Transfer Learning/001 What is Transfer Learning.mp4 89.5 MB
[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/07 Data Frame with Pandas/010 Combining Data Frames Part – II.mp4 88.3 MB
[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/11 Machine Learning/016 Training and testing the model.mp4 88.0 MB
[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/06 Using Pandas for Data Manipulation/002 Series and Features.mp4 87.6 MB
[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/16 Projects/003 Project - 3.mp4 86.3 MB
[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/07 Data Frame with Pandas/001 Data Frame Attributes and Methods Part – I.mp4 83.6 MB
[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/12 Artificial Neural Network/003 Creating a Simple ANN.mp4 83.3 MB
[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/07 Data Frame with Pandas/006 Missing Data and Data Munging Part I.mp4 83.2 MB
[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/05 Numpy Library/005 Numpy Functions.mp4 82.3 MB
[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/10 Geoplotlib/003 Example - 2.mp4 80.0 MB
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【影视】 [ DevCourseWeb.com ] Udemy - Optimizers in Machine Learning and Deep Learning

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~Get Your Files Here !/5 - Adagrad/2 - Adagrad - Excel implementation.mp4 107.4 MB
~Get Your Files Here !/5 - Adagrad/1 - Adagrad - Intro.mp4 84.3 MB
~Get Your Files Here !/8 - Gradient derivation for different loss and activation functions/5 - SGD with Sigmoid Activation and Binary Log loss - Part 1.mp4 81.1 MB
~Get Your Files Here !/3 - Momentum/2 - Momentum - Excel implementation.mp4 77.2 MB
~Get Your Files Here !/8 - Gradient derivation for different loss and activation functions/4 - SGD with ReLu Activation and Mean Absolute Error.mp4 73.6 MB
~Get Your Files Here !/4 - NAG/2 - NAG - Excel implementation.mp4 69.9 MB
~Get Your Files Here !/7 - Adam/2 - Adam - Excel implementation.mp4 59.0 MB
~Get Your Files Here !/2 - Stochastic Gradient Descent/3 - SGD - Excel implementation.mp4 45.8 MB
~Get Your Files Here !/2 - Stochastic Gradient Descent/1 - Stochastic Gradient Descent (SGD) - Intro.mp4 38.8 MB
~Get Your Files Here !/5 - Adagrad/3 - Adagrad - Validating excel outputs using TensorFlow.mp4 38.1 MB
~Get Your Files Here !/2 - Stochastic Gradient Descent/4 - SGD - Validating excel outputs using TensorFlow.mp4 35.3 MB
~Get Your Files Here !/3 - Momentum/3 - Momentum - Validating excel outputs using TensorFlow.mp4 33.3 MB
~Get Your Files Here !/7 - Adam/3 - Adam - Validating excel outputs using TensorFlow.mp4 30.8 MB
~Get Your Files Here !/2 - Stochastic Gradient Descent/5 - SGD - Pros and Cons.mp4 30.4 MB
~Get Your Files Here !/4 - NAG/3 - NAG - Validating excel outputs using TensorFlow.mp4 26.6 MB
~Get Your Files Here !/8 - Gradient derivation for different loss and activation functions/3 - SGD with Root Mean Squared Error.mp4 26.3 MB
~Get Your Files Here !/2 - Stochastic Gradient Descent/2 - SGD with Mean Squared Error - Gradient derivation.mp4 24.4 MB
~Get Your Files Here !/7 - Adam/1 - Adam - Intro.mp4 23.1 MB
~Get Your Files Here !/8 - Gradient derivation for different loss and activation functions/2 - SGD with Mean Absolute Error.mp4 22.3 MB
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【影视】 Packt - Tensorflow Deep Learning Solutions for Images

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21 Gerac227o automatica de caracteres/102 Construc227o da GAN - MNIST IV.mp4 152.5 MB
12 Classificac227o de digitos escritos a m227o/073 Redes convolucionais com estimators V.mp4 148.6 MB
09 Redes neurais para classificac227o e regress227o com TensorFlow/051 Classificac227o multiclasse - base iris II.mp4 144.3 MB
06 Classificac227o/031 Regress227o logistica com estimators I.mp4 144.0 MB
15 Serie temporal - precos da bolsa de valores/081 Base de dados para redes recorrentes II.mp4 142.9 MB
21 Gerac227o automatica de caracteres/101 Construc227o da GAN - MNIST III.mp4 138.2 MB
15 Serie temporal - precos da bolsa de valores/080 Base de dados para redes recorrentes I.mp4 127.0 MB
09 Redes neurais para classificac227o e regress227o com TensorFlow/050 Classificac227o multiclasse - base iris I.mp4 121.6 MB
22 Ap234ndice A - Basico sobre aprendizagem de maquina/107 Introduc227o a avaliac227o de algoritmos.mp4 118.3 MB
15 Serie temporal - precos da bolsa de valores/083 Redes neurais recorrentes II.mp4 117.2 MB
08 Teoria resumida sobre redes neurais artificiais/043 TensorFlow playground.mp4 113.6 MB
21 Gerac227o automatica de caracteres/100 Construc227o da GAN - MNIST II.mp4 113.2 MB
09 Redes neurais para classificac227o e regress227o com TensorFlow/055 Classificac227o de digitos manuscritos III.mp4 112.7 MB
12 Classificac227o de digitos escritos a m227o/072 Redes convolucionais com estimators IV.mp4 112.6 MB
18 Reduc227o de dimensionalidade/094 Stacked autoencoder - MNIST III.mp4 111.7 MB
09 Redes neurais para classificac227o e regress227o com TensorFlow/048 Classificac227o binaria - XOR II.mp4 111.7 MB
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【音乐】 Learning French A Rendezvous with French Speaking Cultures

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02 Ici, on parle français_ French Is Spoken Here.mp3 38.4 MB
03 French around the World.mp3 37.5 MB
07 Vacations and Leisure Activities.mp3 36.0 MB
21 Le Patrimoine_ Museums.mp3 36.0 MB
05 Weather, Seasons, and Some Geography.mp3 35.3 MB
01 Welcome to the French-Speaking World.mp3 35.2 MB
06 La Vie en France_ Life in France.mp3 35.1 MB
12 Public Transportation.mp3 35.0 MB
14 Souvenirs de voyage.mp3 35.0 MB
09 Buying Groceries.mp3 34.9 MB
11 The Life of the Traveler.mp3 34.9 MB
16 The Home and Private Spaces.mp3 34.5 MB
20 L_Art et les artistes.mp3 34.5 MB
25 Les Fêtes et les festivals.mp3 34.4 MB
15 Les Vêtements_ How and Why to Dress.mp3 34.3 MB
22 Le Patrimoine_ Customs.mp3 34.2 MB
13 Travel and Technology.mp3 34.2 MB
23 Le Patrimoine_ Places to Visit.mp3 34.1 MB
04 Francophone Towns and Villages.mp3 33.9 MB
19 La Littérature et le cinéma.mp3 33.5 MB

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【压缩文件】 [ FreeCourseWeb.com ] Hands-On Machine Learning with Microsoft Excel 2019 - Build complete data analysis flows, from data collection to visualization.zip

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【影视】 O'Reilly Media - Learning CompTIA CSA+

收录时间:2018-02-23 文档个数:92 文档大小:2.8 GB 最近下载:2025-05-14 人气:1196 磁力链接

01. Introduction/05. About the Exam.mp4 31.2 MB
01. Introduction/02. About the Author.mp4 18.7 MB
01. Introduction/06. CSA+ Acronyms.mp4 18.0 MB
01. Introduction/04. CSA+ Audience.mp4 15.0 MB
01. Introduction/03. Course Overview.mp4 14.3 MB
01. Introduction/01. Welcome to the Course.mp4 8.8 MB
02. Security Basics/04. Network Security.mp4 40.9 MB
02. Security Basics/08. Wireless vs. Wired.mp4 38.4 MB
02. Security Basics/02. Understanding Risk.mp4 33.7 MB
02. Security Basics/09. Virtual vs. Physical pt. 1.mp4 32.1 MB
02. Security Basics/11. On-premises vs. Cloud.mp4 32.0 MB
02. Security Basics/06. Penetration Testing.mp4 30.9 MB
02. Security Basics/03. Identifying Threats.mp4 30.9 MB
02. Security Basics/05. Endpoint Security.mp4 30.1 MB
02. Security Basics/07. Reverse Engineering.mp4 22.9 MB
02. Security Basics/01. Cybersecurity Basics.mp4 18.4 MB
02. Security Basics/10. Virtual vs. Physical pt. 2.mp4 15.6 MB
03. Threat Management/10. DNS Harvesting pt. 2.mp4 53.8 MB
03. Threat Management/01. Managing Threats.mp4 36.0 MB
03. Threat Management/03. OS Fingerprinting.mp4 35.3 MB

猜你喜欢： Media CSA CompTIA Learning Reilly

【影视】 [FreeCoursesOnline.Me] UDACITY - Deep Learning v4.0.0

收录时间:2021-03-18 文档个数:2577 文档大小:3.6 GB 最近下载:2025-05-14 人气:1912 磁力链接

Part 02-Module 01-Lesson 06_Sentiment Analysis/13. Mini Project 3 Solution-imnxzCev4SI.mp4 57.2 MB
Part 02-Module 01-Lesson 06_Sentiment Analysis/14. Understanding Neural Noise-ubqhh4Iv7O4.mp4 52.7 MB
Part 06-Module 02-Lesson 02_Deep Q-Learning/07. Experience Replay-wX_-SZG-YMQ.mp4 50.7 MB
Part 06-Module 02-Lesson 03_Policy-Based Methods/07. M2L3 07 V2-ZBLLGIN1EfU.mp4 45.7 MB
Part 06-Module 02-Lesson 02_Deep Q-Learning/10. DQN Improvements-Zfdbp93A2GU.mp4 41.3 MB
Part 02-Module 01-Lesson 06_Sentiment Analysis/21. Mini Project 6 Solution-ji0famK7gOQ.mp4 41.0 MB
Part 01-Module 01-Lesson 03_Applying Deep Learning/03. Traffic Navigation with Deep Reinforcement Learning-az5ElmV4DhY.mp4 40.0 MB
Part 04-Module 01-Lesson 01_Recurrent Neural Networks/10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.mp4 38.9 MB
Part 04-Module 01-Lesson 01_Recurrent Neural Networks/25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.mp4 37.9 MB
Part 04-Module 01-Lesson 01_Recurrent Neural Networks/08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.mp4 36.5 MB
Part 02-Module 01-Lesson 06_Sentiment Analysis/22. Analysis What's Going on in the Weights-UHsT35pbpcE.mp4 35.3 MB
Part 06-Module 01-Lesson 05_Monte Carlo Methods/03. MC Prediction State Values-0q2wSWyuBj8.mp4 35.0 MB
Part 06-Module 02-Lesson 01_RL in Continuous Spaces/01. Deep Reinforcement Learning-GPjK124RU5g.mp4 34.8 MB
Part 06-Module 02-Lesson 03_Policy-Based Methods/02. M2L3 02 V2-ToS8vXGdODE.mp4 34.1 MB
Part 06-Module 01-Lesson 04_Dynamic Programming/14. Policy Improvement-4_adUEK0IHg.mp4 31.9 MB
Part 06-Module 01-Lesson 06_Temporal-Difference Methods/03. TD Prediction TD(0)-CsD6b0csU7o.mp4 31.6 MB
Part 02-Module 01-Lesson 06_Sentiment Analysis/18. Mini Project 5 Solution-Hv86B_jjWTI.mp4 30.3 MB
Part 06-Module 02-Lesson 01_RL in Continuous Spaces/11. Linear Function Approximation-OJ5wrB7o-pI.mp4 30.1 MB
Part 06-Module 01-Lesson 04_Dynamic Programming/05. An Iterative Method-AX-hG3KvwzY.mp4 28.9 MB
Part 04-Module 01-Lesson 01_Recurrent Neural Networks/06. 07 FeedForward B V3-kTYbTVh1d0k.mp4 27.9 MB

猜你喜欢： FreeCoursesOnline Me 0.0 Deep UDACITY v4 Learning

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