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- 【影视】 [FreeCourseLab.com] Udemy - A-Z Machine Learning using Azure Machine Learning (AzureML)
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收录时间:2021-05-14
文档个数:225
文档大小:2.0 GB
最近下载:2025-05-16
人气:2419
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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 95.4 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 subset of Variables or features with highest impact/9. [Hands On] - Fisher Based LDA - Experiment.mp4 64.1 MB
13. Thank You and Bonus Lecture/1. Way Forward.mp4 59.8 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
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 subset of Variables or features with 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 42.7 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/4. Understanding the Confusion Matrix, AUC, Accuracy, Precision, Recall and F1Score.mp4 30.9 MB
7. Regression Analysis/5. Gradient Descent.mp4 29.0 MB
3. Data Processing/4. [Hands On] -Data Transform - Add RowsColumns, Remove Duplicates, Select Columns.mp4 27.8 MB
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- 【影视】 [CourseClub.Me] Pluralsight - Pluralsight - VueJS Learning Path
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收录时间:2021-05-14
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04 Vue.js Fundamentals/6 - Managing State and Server Communication with Vuex/50 - Using Actions to Work with APIs and Asynchronous Data.mp4 58.7 MB
04 Vue.js Fundamentals/3 - Creating Vue.js Components and Using Template Syntax/16 - Repeating Elements with v-for.mp4 42.2 MB
04 Vue.js Fundamentals/4 - Enabling Inter-component Communication_/29 - Passing Data to Parent Components with Events.mp4 33.3 MB
04 Vue.js Fundamentals/6 - Managing State and Server Communication with Vuex/56 - Understanding Global and Namespaced State.mp4 30.4 MB
05 Single Page Applications with Vue.js/7 - Server-side Rendering/61 - Initial State.mp4 28.8 MB
04 Vue.js Fundamentals/vuejs-fundamentals.zip 28.6 MB
04 Vue.js Fundamentals/2 - Getting Started with the Vue.js CLI/06 - Creating the Home Page.mp4 28.1 MB
04 Vue.js Fundamentals/2 - Getting Started with the Vue.js CLI/05 - Creating a New Project with the Vue CLI.mp4 27.5 MB
03 Developing Faster with the Vue CLI/vue-cli-developing-faster.zip 25.6 MB
04 Vue.js Fundamentals/3 - Creating Vue.js Components and Using Template Syntax/11 - Binding to Events with v-on.mp4 25.2 MB
04 Vue.js Fundamentals/3 - Creating Vue.js Components and Using Template Syntax/09 - Creating Your First Component.mp4 24.7 MB
04 Vue.js Fundamentals/5 - Routing from Page to Page/39 - Using Nested Routes.mp4 24.7 MB
04 Vue.js Fundamentals/6 - Managing State and Server Communication with Vuex/48 - Retreiving Items from the Vuex Store.mp4 24.3 MB
04 Vue.js Fundamentals/4 - Enabling Inter-component Communication_/30 - Injecting Content into a Child Component with Slots.mp4 23.9 MB
05 Single Page Applications with Vue.js/7 - Server-side Rendering/59 - Bundle Renderer.mp4 23.8 MB
04 Vue.js Fundamentals/4 - Enabling Inter-component Communication_/26 - Creating Child Components.mp4 23.3 MB
05 Single Page Applications with Vue.js/8 - Testing/66 - Testing Component.mp4 22.5 MB
05 Single Page Applications with Vue.js/9 - Deploying/71 - Production Build Process.mp4 22.0 MB
04 Vue.js Fundamentals/3 - Creating Vue.js Components and Using Template Syntax/10 - Binding Attributes to Data with v-bind.mp4 21.5 MB
04 Vue.js Fundamentals/5 - Routing from Page to Page/40 - Using Named Views.mp4 20.8 MB
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- 【影视】 [FreeCourseLab.com] Udemy - A Beginner's Guide To Machine Learning with Unity
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收录时间:2021-05-13
文档个数:174
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1. Introduction/6. Machine Learning 101.mp4 580.1 MB
10. A Final Word/2. Where to Now.mp4 262.9 MB
8. Unity's ML-Agents V0.3 [DEPRECATED]/2. Training Your First ML-Agent V0.3.mp4 180.6 MB
8. Unity's ML-Agents V0.3 [DEPRECATED]/8.2 CatAcademy.zip.zip 142.6 MB
2. Genetic Algorithms/1. DNA Inspired Data Structures.mp4 114.4 MB
2. Genetic Algorithms/10. Moving GAs with Senses Part 2.mp4 79.2 MB
2. Genetic Algorithms/11. Moving GAs with Senses Part 3.mp4 72.1 MB
5. Neural Networks in Practice/6. Gathering Training Data from the Player Part 2.mp4 69.0 MB
5. Neural Networks in Practice/5. Gathering Training Data from the Player Part 1.mp4 63.0 MB
8. Unity's ML-Agents V0.3 [DEPRECATED]/15. Goal Seeking Wall Jumping Part 2.mp4 62.6 MB
2. Genetic Algorithms/6. Coding Movement with Genes Part 2.mp4 60.5 MB
5. Neural Networks in Practice/9. Training with Player Data Part 2.mp4 54.3 MB
2. Genetic Algorithms/12. Maze Walking Challenge.mp4 52.6 MB
4. Artificial Neural Networks/3. Programming An Artificial Neural Network Part 2.mp4 51.5 MB
4. Artificial Neural Networks/5. ANN FAQs.mp4 50.3 MB
8. Unity's ML-Agents V0.3 [DEPRECATED]/5. Creating an ML-Agent From Scratch Part 1.mp4 50.1 MB
5. Neural Networks in Practice/10. Training with Player Data Part 3.mp4 49.9 MB
3. Perceptrons The making of a Neural Network/6. Perceptron Classification.mp4 48.8 MB
5. Neural Networks in Practice/7. Training with Player Data Part 1.mp4 47.5 MB
2. Genetic Algorithms/9. Moving GAs with Senses Part 1.mp4 46.7 MB
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- 【影视】 The Complete Deep Learning Course 2021 With 7+ Real Projects
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收录时间:2021-05-13
文档个数:410
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最近下载:2025-05-16
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[TutsNode.com] - The Complete Deep Learning Course 2021 With 7+ Real Projects/06 Analysing movie review sentiment/061 Building RNN model.mp4 217.2 MB
[TutsNode.com] - The Complete Deep Learning Course 2021 With 7+ Real Projects/03 Concrete Quality Prediction Projects By ANN/029 Improving the model.mp4 199.2 MB
[TutsNode.com] - The Complete Deep Learning Course 2021 With 7+ Real Projects/03 Concrete Quality Prediction Projects By ANN/027 Building Neural Network model.mp4 170.4 MB
[TutsNode.com] - The Complete Deep Learning Course 2021 With 7+ Real Projects/07 20 Newsgroups by NLP/078 T-SNE for Dimensionality Reduction.mp4 162.8 MB
[TutsNode.com] - The Complete Deep Learning Course 2021 With 7+ Real Projects/05 Classifying Fashion Image/047 Improving the clothing image classifier with data augmentation.mp4 159.8 MB
[TutsNode.com] - The Complete Deep Learning Course 2021 With 7+ Real Projects/06 Analysing movie review sentiment/060 Visualizing data.mp4 157.2 MB
[TutsNode.com] - The Complete Deep Learning Course 2021 With 7+ Real Projects/11 Predicting Stock Price/127 Monte Carlo Simulation-Implementation Part 1.mp4 141.1 MB
[TutsNode.com] - The Complete Deep Learning Course 2021 With 7+ Real Projects/05 Classifying Fashion Image/044 Building Neural Network model.mp4 126.8 MB
[TutsNode.com] - The Complete Deep Learning Course 2021 With 7+ Real Projects/05 Classifying Fashion Image/045 Training and Testing Model.mp4 126.1 MB
[TutsNode.com] - The Complete Deep Learning Course 2021 With 7+ Real Projects/06 Analysing movie review sentiment/058 Importing library and data.mp4 124.5 MB
[TutsNode.com] - The Complete Deep Learning Course 2021 With 7+ Real Projects/11 Predicting Stock Price/126 Monte Carlo Simulation- Theory.mp4 123.6 MB
[TutsNode.com] - The Complete Deep Learning Course 2021 With 7+ Real Projects/09 GAN/101 GAN Implementation Part 3.mp4 122.1 MB
[TutsNode.com] - The Complete Deep Learning Course 2021 With 7+ Real Projects/04 CIFAR-10/036 Compiling the model.mp4 121.2 MB
[TutsNode.com] - The Complete Deep Learning Course 2021 With 7+ Real Projects/07 20 Newsgroups by NLP/066 NLP tools Part 1.mp4 115.8 MB
[TutsNode.com] - The Complete Deep Learning Course 2021 With 7+ Real Projects/11 Predicting Stock Price/125 Exploratory analysis.mp4 113.3 MB
[TutsNode.com] - The Complete Deep Learning Course 2021 With 7+ Real Projects/07 20 Newsgroups by NLP/071 Importing library and data.mp4 113.1 MB
[TutsNode.com] - The Complete Deep Learning Course 2021 With 7+ Real Projects/01 Introduction/012 Some Of The Important Terms In Neural Network.mp4 111.1 MB
[TutsNode.com] - The Complete Deep Learning Course 2021 With 7+ Real Projects/08 Handwritten Digits Images/084 Build autoencoder model.mp4 100.9 MB
[TutsNode.com] - The Complete Deep Learning Course 2021 With 7+ Real Projects/06 Analysing movie review sentiment/059 Exploratory analysis.mp4 100.8 MB
[TutsNode.com] - The Complete Deep Learning Course 2021 With 7+ Real Projects/08 Handwritten Digits Images/089 Visualizing latent vector PART 2.mp4 99.8 MB
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- 【影视】 [DesireCourse.Com] Udemy - Data Science Practical Deep Learning in Theano + TensorFlow
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收录时间:2021-05-13
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09 Project Facial Expression Recognition/028 Class-Based ANN in Theano.mp4 46.1 MB
10 Appendix/031 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 46.0 MB
09 Project Facial Expression Recognition/029 Class-Based ANN in TensorFlow.mp4 39.2 MB
07 GPU Speedup Homework and Other Misc Topics/018 Setting up a GPU Instance on Amazon Web Services.mp4 26.9 MB
10 Appendix/032 How to Code by Yourself part 1.mp4 25.7 MB
06 TensorFlow/017 Building a neural network in TensorFlow.mp4 25.0 MB
08 Modern Regularization Techniques/023 Dropout Regularization.mp4 23.8 MB
05 Theano/015 Building a neural network in Theano.mp4 22.8 MB
09 Project Facial Expression Recognition/025 Facial Expression Recognition Problem Description.mp4 22.5 MB
05 Theano/014 Theano Basics Variables Functions Expressions Optimization.mp4 20.3 MB
06 TensorFlow/016 TensorFlow Basics Variables Functions Expressions Optimization.mp4 17.9 MB
10 Appendix/033 How to Code by Yourself part 2.mp4 15.5 MB
03 Momentum and adaptive learning rates/008 Code for training a neural network using momentum.mp4 15.3 MB
02 Gradient Descent Full vs Batch vs Stochastic/006 Full vs Batch vs Stochastic Gradient Descent in code.mp4 14.7 MB
04 Choosing Hyperparameters/012 Grid Search in Code.mp4 14.4 MB
09 Project Facial Expression Recognition/027 Utilities walkthrough.mp4 14.1 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/004 Where to get the MNIST dataset and Establishing a Linear Benchmark.mp4 11.7 MB
03 Momentum and adaptive learning rates/010 Constant learning rate vs. RMSProp in Code.mp4 11.5 MB
09 Project Facial Expression Recognition/026 The class imbalance problem.mp4 10.6 MB
07 GPU Speedup Homework and Other Misc Topics/022 Theano vs. TensorFlow.mp4 9.6 MB
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- 【影视】 [FreeCourseLab.me] Udemy - Ensemble Machine Learning in Python Random Forest, AdaBoost
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收录时间:2021-05-13
文档个数:85
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6. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
6. Appendix FAQ/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3. Bootstrap Estimates and Bagging/1. Bootstrap Estimation.mp4 50.0 MB
6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
2. Bias-Variance Trade-Off/4. Polynomial Regression Demo.mp4 43.8 MB
6. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
6. Appendix FAQ/13. BONUS Where to get Udemy coupons and FREE deep learning material.srt 39.7 MB
6. Appendix FAQ/13. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
6. Appendix FAQ/12. What order should I take your courses in (part 2).mp4 39.5 MB
3. Bootstrap Estimates and Bagging/1. Bootstrap Estimation.srt 31.5 MB
6. Appendix FAQ/11. What order should I take your courses in (part 1).mp4 30.8 MB
6. Appendix FAQ/5. How to Code by Yourself (part 1).mp4 25.7 MB
3. Bootstrap Estimates and Bagging/5. Bagging Classification Trees.mp4 21.3 MB
4. Random Forest/6. Connection to Deep Learning Dropout.srt 19.9 MB
5. AdaBoost/4. AdaBoost Implementation.srt 19.4 MB
4. Random Forest/1. Random Forest Algorithm.srt 17.7 MB
3. Bootstrap Estimates and Bagging/4. Bagging Regression Trees.mp4 16.6 MB
5. AdaBoost/4. AdaBoost Implementation.mp4 16.5 MB
4. Random Forest/2. Random Forest Regressor.mp4 15.6 MB
6. Appendix FAQ/6. How to Code by Yourself (part 2).mp4 15.5 MB
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- 【影视】 GrandParentsX.19.12.11.Learning.Two.Young.Strippers.How.To.Fuck.XXX.720p.HEVC.x265.PRT
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收录时间:2021-05-13
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最近下载:2025-05-09
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GrandParentsX.19.12.11.Learning.Two.Young.Strippers.How.To.Fuck.XXX.720p.HEVC.x265.PRT.mp4 241.1 MB
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- 【影视】 [LinkedIn Learning] Bill Weinman - Python Essential Training
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15. Databases/2. A database interface.mp4 37.6 MB
15. Databases/3. Example- Short URL database.mp4 33.7 MB
2. Installation/1. Installing Python and PyCharm on a Mac.mp4 33.1 MB
8. Functions/2. Function arguments.mp4 21.7 MB
14. Modules/2. Creating a module.mp4 18.6 MB
14. Modules/1. Using standard modules.mp4 17.6 MB
11. String Objects/3. Formatting strings.mp4 16.5 MB
9. Classes/2. Constructing an object.mp4 14.7 MB
10. Exceptions/1. Handling exceptions.mp4 14.6 MB
8. Structured Data/3. Dictionaries.mp4 14.6 MB
2. Installation/2. Installing Python and Komodo on Windows.mp4 14.2 MB
9. Classes/3. Class methods.mp4 14.1 MB
9. Classes/4. Object data.mp4 14.0 MB
13. Built In Functions/2. String functions.mp4 13.2 MB
11. String Objects/2. Common string methods.mp4 13.0 MB
8. Functions/7. Decorators.mp4 13.0 MB
8. Structured Data/2. Lists and tuples.mp4 12.9 MB
15. Databases/1. Python database API.mp4 12.5 MB
9. Classes/5. Inheritance.mp4 12.5 MB
8. Functions/1. Defining a function.mp4 12.4 MB
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- 【影视】 [UdemyCourseDownloader] Learning Cloud Computing Core Concepts
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收录时间:2021-05-12
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13 - Understand the TCO.mp4 14.6 MB
25 - Monitoring and management.mp4 14.2 MB
12 - Identify which data to move.mp4 13.8 MB
18 - Your first cloud project.mp4 11.1 MB
14 - Migration planning.mp4 11.0 MB
23 - Cloud operations overview.mp4 10.5 MB
24 - Technology and toolsets.mp4 10.0 MB
16 - Establish cloud security.mp4 9.3 MB
15 - Select a cloud provider.mp4 9.1 MB
11 - Identify which apps to move.mp4 8.9 MB
17 - New skills.mp4 7.7 MB
01 - Change your career with cloud computing.mp4 7.0 MB
19 - Cloud security planning.mp4 6.5 MB
07 - IaaS clouds.mp4 5.9 MB
10 - IaaS case study.mp4 5.9 MB
05 - Overview of cloud computing.mp4 5.8 MB
21 - Select the right technology.mp4 5.4 MB
20 - Security requirements.mp4 5.0 MB
09 - PaaS clouds.mp4 5.0 MB
08 - SaaS clouds.mp4 4.8 MB
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- 【影视】 TTC - Learning Italian Step by Step and Region by Region
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24. Comparatives, Superlatives, and Arrivederci! Tuscany II.mp4 533.7 MB
3. Nouns and Adjectives Sicily II.mp4 526.1 MB
1. Benvenuti to Italian and Italy’s 20 Regions!.mp4 495.2 MB
15. Reciprocal Verbs and Negatives Veneto.mp4 489.0 MB
13. Irregular Nouns Basilicata.mp4 479.2 MB
14. Reflexive Pronouns and Verbs The Marches.mp4 478.3 MB
7. Possessive Adjectives and Pronouns Puglia.mp4 475.0 MB
5. Verbs Ending in -ere Lazio.mp4 468.1 MB
23. The Future Tense Lazio II.mp4 461.4 MB
4. Verbs Ending in -are Lombardy.mp4 461.0 MB
8. Prepositions Abruzzo and Molise.mp4 458.1 MB
22. The Imperative with Pronouns Campania II.mp4 457.7 MB
6. Verbs Ending in -ire Aosta and Trentino–Alto Adige.mp4 456.2 MB
17. Indefinite Pronouns, Ci, and Ne Sardinia.mp4 455.3 MB
10. The Imperative Mood Campania.mp4 452.0 MB
12. Indirect Objects Friuli–Venezia Giulia.mp4 450.6 MB
18. Passato Prossimo with Avere Umbria.mp4 441.8 MB
9. Modal Verbs, Sapere, and Conoscere Liguria.mp4 439.9 MB
16. Present Progressive and Suffixes Piedmont.mp4 434.5 MB
2. Nouns and Articles Sicily.mp4 428.9 MB
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- 【影视】 MomsBangTeens.15.01.12.Ava.Addams.And.Shae.Summers.Learning.Curve.XXX.1080p.MP4-KTR[rarbg]
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mbt.15.01.12.ava.addams.and.shae.summers.learning.curve.mp4 2.8 GB
Sample/mbt.15.01.12.ava.addams.and.shae.summers.learning.curve-sample.mp4 82.3 MB
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02 - Why Machine Learning.mp4 102.3 MB
01 - Why this course.mp4 94.6 MB
04 - How does a neuron work.mp4 77.8 MB
20 - Alternative - Hosting your model on Google Cloud ML.mp4 74.5 MB
15 - Training a network with TensorFlow and the Keras API.mp4 62.4 MB
13 - Our first network with TensorFlow and the Keras API.mp4 56.0 MB
14 - Evaluating our model.mp4 55.6 MB
06 - Activation Functions.mp4 43.9 MB
08 - How does a network learn.mp4 43.4 MB
11 - Python Notebooks on Colab.mp4 32.0 MB
12 - Getting to know our data.mp4 31.7 MB
16 - Making our model more general.mp4 30.5 MB
17 - Summing up and saving our final model.mp4 29.0 MB
07 - Fully Connected Feed Forward Networks.mp4 26.8 MB
03 - Our problem in the TensorFlow Playground.mp4 25.3 MB
05 - Drawing Decision Boundaries with a single neuron.mp4 23.0 MB
18 - Converting the Keras model for tensorflow.js.mp4 20.8 MB
19 - Gluing together our JavaScript application.mp4 19.0 MB
22 - Summary.mp4 18.3 MB
09 - Finding the sweet spot.mp4 17.1 MB
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Урок 2 – Системные объекты/Лекция (видео).mp4 54.3 MB
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Урок 1 – Установка Microsoft SQL Server на Linux/Лекция.pdf 2.1 MB
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Урок 2 – Системные объекты/Лекция.pdf 1.1 MB
Урок 3 – Системная процедура sp_configure/Лекция.pdf 542.8 kB
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2. Breast Cancer Classification/8. Improving the Model.mp4 199.0 MB
2. Breast Cancer Classification/5. Data Visualisation.mp4 147.3 MB
3. Fashion Class Classification/3. Data Visualisation.mp4 136.5 MB
3. Fashion Class Classification/7. Model Training Part IV.mp4 134.4 MB
3. Fashion Class Classification/6. Model Training Part III.mp4 132.1 MB
3. Fashion Class Classification/4. Model Training Part I.mp4 108.8 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/2. Data.mp4 106.9 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/12. Grid Search Part 2.mp4 102.8 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/10. Model Building Part 2.mp4 98.0 MB
3. Fashion Class Classification/1. Business Challenge.mp4 96.7 MB
2. Breast Cancer Classification/7. Model Evaluation.mp4 95.8 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/9. Feature Scaling & Balancing.mp4 83.6 MB
2. Breast Cancer Classification/4. Challenge in Machine Learning Vocabulary.mp4 82.9 MB
3. Fashion Class Classification/5. Model Training Part II.mp4 82.1 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/2. Data.mp4 81.2 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/1. Introduction.mp4 78.8 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/11. Grid Search Part 1.mp4 78.0 MB
3. Fashion Class Classification/8. Model Evaluation.mp4 77.2 MB
4. Directing Customers to Subscription Through App Behavior Analysis/10. Model Building.mp4 75.8 MB
4. Directing Customers to Subscription Through App Behavior Analysis/8. Feature Engineering - Screens.mp4 74.5 MB
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18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 203.4 MB
18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 174.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 150.1 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 130.5 MB
19. Appendix FAQ/9. What order should I take your courses in (part 2).mp4 128.6 MB
19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 122.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 108.2 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 102.5 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 96.7 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 96.5 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 95.4 MB
2. Google Colab/3. Uploading your own data to Google Colab.mp4 93.4 MB
19. Appendix FAQ/8. What order should I take your courses in (part 1).mp4 92.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 91.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 91.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 90.7 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4 90.5 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 90.5 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 88.0 MB
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6.Diagnosing Issues with Models/19.Dealing with Overfitting Using Regularization.mp4 168.7 MB
1.Working with Machine Learning/02.Goals and Variations in Machine Learning.mp4 113.8 MB
5.Predicting the Future/16.Find the Best Model with Hyperparameter Search.mp4 40.9 MB
4.Logistic Regression Classify/11.Exploring and Cleaning the Plants Dataset.mp4 40.2 MB
6.Diagnosing Issues with Models/17.Understanding Our Accuracy in Predicting Numbers.mp4 39.5 MB
5.Predicting the Future/15.Create Complex Models with Scikit-learn Pipelines.mp4 38.8 MB
4.Logistic Regression Classify/13.Implementing Train-Test-Splits and Logistic Regression.mp4 38.7 MB
2.Data Wrangling/06.Parsing Timestamps and Splitting Columns.mp4 38.3 MB
1.Working with Machine Learning/03.Installing WinPython and Using Jupyter Notebooks.mp4 36.3 MB
5.Predicting the Future/14.Build a Robust Model with Cross Validation.mp4 34.4 MB
3.Linear Regression — Predict Median Living Costs/10.Troubleshooting Linear Regression.mp4 34.4 MB
3.Linear Regression — Predict Median Living Costs/09.Implementing Linear Regression with Scikit-learn.mp4 33.3 MB
3.Linear Regression — Predict Median Living Costs/08.Understanding Linear Regression.mp4 33.1 MB
2.Data Wrangling/07.Loading Data from Excel, CSVs, and SQL.mp4 32.5 MB
1.Working with Machine Learning/04.Exploring Your Data Using Pandas.mp4 32.4 MB
2.Data Wrangling/05.Types of Messy Data and How to Clean Them.mp4 32.1 MB
6.Diagnosing Issues with Models/18.Assessing Our Correctness in Predicting Labels.mp4 31.4 MB
1.Working with Machine Learning/01.The Course Overview.mp4 25.4 MB
4.Logistic Regression Classify/12.Understanding Logistic Regression.mp4 25.2 MB
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05.Traffic Sign Classifier/0502.Implementing Traffic Sign Classifier.mp4 132.1 MB
01.Getting Started with TensorFlow/0104.Warming Up Examples.mp4 95.0 MB
04.Anomaly Detection Algorithm/0402.Server Computer's Behavior.mp4 75.4 MB
03.Linear Regression with Multi Variable/0303.Problem Solution.mp4 69.3 MB
02.Linear Regression with One Variable/0203.Problem Statement and Solution.mp4 55.0 MB
02.Linear Regression with One Variable/0201.What Is Machine Learning.mp4 19.8 MB
02.Linear Regression with One Variable/0202.Model Representation and Gradient Descent.mp4 15.0 MB
01.Getting Started with TensorFlow/0103.Installing TensorFlow.mp4 14.6 MB
01.Getting Started with TensorFlow/0101.The Course Overview.mp4 12.7 MB
01.Getting Started with TensorFlow/0102.Installing and Preparing the Environment.mp4 10.2 MB
04.Anomaly Detection Algorithm/0401.What Is Anomaly Detection.mp4 5.5 MB
05.Traffic Sign Classifier/0501.Introduction to Traffic Sign Classifier.mp4 3.7 MB
03.Linear Regression with Multi Variable/0301.Model Representation.mp4 2.2 MB
03.Linear Regression with Multi Variable/0302.Problem Statement.mp4 1.5 MB
Exercise Files/exercise_files.zip 208.3 kB
Discuss.FreeTutorials.Us.html 169.7 kB
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7. Module-7 Regression/7. 7.7 Implementation of Forecasting.mp4 40.0 MB
3. Module-3 Classification/5. 3.5 Implementation of Naive-Bayes Classifier.mp4 35.7 MB
7. Module-7 Regression/6. 7.6 Forecasting.mp4 20.8 MB
1. Module-1 Introduction to Course/1. 1.1 Introduction to the Course.mp4 18.5 MB
2. Module-2 Introduction to validation and its Methods/3. 2.3 Caret package.mp4 16.5 MB
3. Module-3 Classification/3. 3.3 Implementation of KNN Algorithm.mp4 15.4 MB
7. Module-7 Regression/2. 7.2 Implementation of Linear Regression.mp4 12.9 MB
4. Module-4 Black Box Method-Neural network and SVM/3. 4.3 Implement Neural Network in R.mp4 12.9 MB
6. Module-6 Clustering/2. 6.2 K-Means Clustering.mp4 11.8 MB
5. Module-5 Tree Based Models/4. 5.4 Boosting.mp4 11.3 MB
7. Module-7 Regression/3. 7.3 Multiple Covariates Regression.mp4 10.8 MB
4. Module-4 Black Box Method-Neural network and SVM/7. 4.7 Implementation of SVM in R.mp4 9.3 MB
5. Module-5 Tree Based Models/2. 5.2 Implementation of Decision Tree.mp4 9.1 MB
6. Module-6 Clustering/3. 6.3 Implementation of K-Means Clustering.mp4 8.5 MB
5. Module-5 Tree Based Models/3. 5.3 Bagging.mp4 8.1 MB
5. Module-5 Tree Based Models/6. 5.6 Implementation of Random Forest.mp4 7.8 MB
6. Module-6 Clustering/4. 6.4 Hierarchical Clustering.mp4 7.5 MB
7. Module-7 Regression/5. 7.5 Implementation of Logistic Regression.mp4 6.9 MB
3. Module-3 Classification/7. 3.7 Implementation of Linear Discriminant Analysis.mp4 6.7 MB
3. Module-3 Classification/2. 3.2 KNN- K Nearest Neighbors.mp4 6.4 MB
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有膜有样@新色界@Whore Training Learning The Ropes(妓女调教) cd1.avi 733.8 MB
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