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【影视】 [FreeCourseLab.com] Udemy - Machine Learning with Javascript

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5. Getting Started with Gradient Descent/9. Why a Learning Rate.mp4 196.4 MB
6. Gradient Descent with Tensorflow/13. How it All Works Together!.mp4 150.8 MB
2. Algorithm Overview/13. Investigating Optimal K Values.mp4 135.4 MB
5. Getting Started with Gradient Descent/3. Understanding Gradient Descent.mp4 132.9 MB
5. Getting Started with Gradient Descent/12. Multiple Terms in Action.mp4 129.1 MB
7. Increasing Performance with Vectorized Solutions/13. Moving Towards Multivariate Regression.mp4 127.3 MB
5. Getting Started with Gradient Descent/7. Gradient Descent in Action.mp4 121.0 MB
3. Onwards to Tensorflow JS!/3. Tensor Shape and Dimension.mp4 119.8 MB
1. What is Machine Learning/3. A Complete Walkthrough.mp4 114.4 MB
11. Multi-Value Classification/4. A Single Instance Approach.mp4 108.6 MB
6. Gradient Descent with Tensorflow/8. Interpreting Results.mp4 106.7 MB
13. Performance Optimization/6. Measuring Memory Usage.mp4 101.3 MB
11. Multi-Value Classification/9. Marginal vs Conditional Probability.mp4 99.8 MB
5. Getting Started with Gradient Descent/4. Guessing Coefficients with MSE.mp4 98.0 MB
2. Algorithm Overview/1. How K-Nearest Neighbor Works.mp4 97.9 MB
4. Applications of Tensorflow/11. Normalization or Standardization.mp4 97.5 MB
6. Gradient Descent with Tensorflow/12. Simplification with Matrix Multiplication.mp4 95.2 MB
4. Applications of Tensorflow/8. Loading CSV Data.mp4 93.7 MB
12. Image Recognition In Action/8. Debugging the Calculation Process.mp4 93.4 MB
6. Gradient Descent with Tensorflow/5. Initial Gradient Descent Implementation.mp4 92.2 MB

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【压缩文件】 Learning.Factory.Early.Access

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【影视】 The.Learning.Curve.Of.A.Warlord.EP01-02.2018.1080p.WEB-DL.x264.AAC.2Audios-HQC

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01.mkv 1.0 GB
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HQC＠水嫩的大白菜.txt 906 Bytes
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【压缩文件】 [ FreeCourseWeb.com ] Learning Clip Studio Paint.zip

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[ FreeCourseWeb.com ] Learning Clip Studio Paint.zip 333.7 MB

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【影视】 [DesireCourse.Com] Udemy - Machine Learning Projects A-Z Kaggle and Real World Pro

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7. Project 6 Kaggle/1. Part1.mp4 255.3 MB
3. Project 2 Real World Problem/5. Part5.mp4 200.6 MB
3. Project 2 Real World Problem/1. Part1.mp4 185.7 MB
7. Project 6 Kaggle/4. Part4.mp4 180.3 MB
3. Project 2 Real World Problem/2. Part2.mp4 145.9 MB
2. Project 1 Kaggle/2. Playing With The Data.mp4 143.7 MB
2. Project 1 Kaggle/17. Building Machine Learning model part2.mp4 141.7 MB
4. Project 3 Real World Project/3. Part3.mp4 131.6 MB
2. Project 1 Kaggle/5. Train, Test And Cross Validation Split.mp4 121.8 MB
2. Project 1 Kaggle/3. Translating the Problem In Machine Learning World.mp4 118.5 MB
2. Project 1 Kaggle/16. Building Machine Learning model part1.mp4 118.4 MB
7. Project 6 Kaggle/3. Part3.mp4 117.1 MB
7. Project 6 Kaggle/6. Part6.mp4 109.0 MB
3. Project 2 Real World Problem/4. Part4.mp4 108.5 MB
6. Project 5 Kaggle/6. Part6.mp4 107.8 MB
2. Project 1 Kaggle/4. Dealing with Text Data.mp4 102.7 MB
6. Project 5 Kaggle/12. Part12.mp4 102.6 MB
7. Project 6 Kaggle/5. Part5.mp4 99.4 MB
3. Project 2 Real World Problem/3. Part3.mp4 99.3 MB
2. Project 1 Kaggle/1. Introduction to the Problem Statement.mp4 97.8 MB

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【压缩文件】 [ FreeCourseWeb.com ] Lynda - Leveraging Cloud-Based Machine Learning on AWS- Real-World Applications.zip

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[ FreeCourseWeb.com ] Lynda - Leveraging Cloud-Based Machine Learning on AWS- Real-World Applications.zip 146.6 MB

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【影视】 2021 Python for Machine Learning & Data Science Masterclass

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[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/29. Pandas Project Exercise Solutions.mp4 190.4 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/13. Logistic Regression/16. Logistic Regression Project Exercise - Solutions.mp4 176.6 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/8. Data Analysis and Visualization Capstone Project Exercise/4. Capstone Project Solutions - Part Three.mp4 150.9 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/11. Feature Engineering and Data Preparation/3. Dealing with Outliers.mp4 147.9 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/17. Random Forests/7. Coding Classification with Random Forest Classifier - Part Two.mp4 145.8 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/16. Tree Based Methods Decision Tree Learning/8. Coding Decision Trees - Part Two -Creating the Model.mp4 143.0 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/27. Pandas Pivot Tables.mp4 135.0 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/7. Seaborn Data Visualizations/2. Scatterplots with Seaborn.mp4 134.9 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/11. Feature Engineering and Data Preparation/5. Dealing with Missing Data Part Two - Filling or Dropping data based on Rows.mp4 131.3 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/6. Matplotlib/11. Matplotlib Exercise Questions - Solutions.mp4 129.1 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/11. Feature Engineering and Data Preparation/6. Dealing with Missing Data Part 3 - Fixing data based on Columns.mp4 128.7 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/8. Data Analysis and Visualization Capstone Project Exercise/2. Capstone Project Solutions - Part One.mp4 122.6 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/16. Tree Based Methods Decision Tree Learning/7. Coding Decision Trees - Part One - The Data.mp4 120.7 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/5. DataFrames - Part One - Creating a DataFrame.mp4 119.6 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/14. KNN - K Nearest Neighbors/4. KNN Coding with Python - Part Two - Choosing K.mp4 117.8 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/7. Seaborn Data Visualizations/8. Categorical Plots - Distributions within Categories - Coding with Seaborn.mp4 116.6 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/8. Data Analysis and Visualization Capstone Project Exercise/3. Capstone Project Solutions - Part Two.mp4 116.4 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/13. Logistic Regression/14. Multi-Class Classification with Logistic Regression - Part Two - Model.mp4 116.4 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/7. Seaborn Data Visualizations/14. Seaborn Plot Exercises Solutions.mp4 116.0 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/14. KNN - K Nearest Neighbors/6. KNN Classification Project Exercise Solutions.mp4 115.1 MB

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【影视】 [self-learning] Курс по T-SQL Путь программиста от новичка к профессионалу Уровень 2 - Продвинутый (2020)

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Урок 17 – Ограничения/Видеоурок 17.mp4 92.3 MB
Урок 1 – Типы данных/Видеоурок 1.mp4 77.3 MB
Урок 15 – Индексы/Видеоурок 15.mp4 63.0 MB
Урок 9 – Вложенные запросы/Видеоурок 9.mp4 40.3 MB
Урок 18 – Последовательность/Видеоурок 18.mp4 37.5 MB
Урок 23 – Условные конструкции/Видеоурок 23.mp4 36.7 MB
Урок 3 – Строковые функции/Видеоурок 3.mp4 35.8 MB
Урок 25 – Команды/Видеоурок 25.mp4 32.4 MB
Урок 16 – Проектирование индексов/Видеоурок 16.mp4 31.5 MB
Урок 12 – Представления/Видеоурок 12.mp4 31.2 MB
Урок 0 - Введение/Видеоурок 0.mp4 31.0 MB
Урок 19 – Переменные/Видеоурок 19.mp4 29.2 MB
Урок 24 – Циклы/Видеоурок 24.mp4 27.9 MB
Урок 11 – Обобщенное табличное выражение/Видеоурок 11.mp4 24.1 MB
Урок 4 – Функции для работы с датой и временем/Видеоурок 4.mp4 23.0 MB
Урок 21 – Операторы/Видеоурок 21.mp4 22.5 MB
Урок 6 – Функции преобразования/Видеоурок 6.mp4 22.3 MB
Урок 7 – Функции для работы с NULL значениями/Видеоурок 7.mp4 20.9 MB
Урок 13 – Временные таблицы/Видеоурок 13.mp4 20.2 MB
Урок 8 – Выражение CASE/Видеоурок 8.mp4 15.3 MB

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【压缩文件】 [Tutorialsplanet.NET] Udemy - ArcGIS Learn Deep Learning in ArcGIS to advance GIS skills

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3/4.1 ImageChips.zip 703.3 MB
3/9. Lab Detect image object with CNN (deep learning model) in ArcGIS Pro.mp4 222.7 MB
3/7.1 Model_Definition.zip 220.4 MB
3/3. Lab Image preparation for deep learning in ArcGIS Pro.mp4 183.3 MB
3/1.1 Kolovai.tif 138.7 MB
3/4. Lab Training data creation for neural network in ArcGIS PRO 2.5.mp4 134.8 MB
3/7. Lab Deep Learning (CNN) model definition (training CNN model) in ArcGIS PRO.mp4 101.9 MB
3/10. Lab Tips for Mapping of the detected objects.mp4 81.9 MB
3/6. Step 2 Deep Learning (CNN) model definition in ArcGIS PRO.mp4 73.2 MB
3/1. Lab Downloading image data for deep learning analysis in ArcGIS Pro.mp4 59.7 MB
4. Summary & Conclusions/1. Outlook Predictions &AI for GIS.mp4 41.0 MB
1. Introduction/3. Why deep Learning and why ArcGIS Pro.mp4 34.4 MB
3/5. Lab Install deep learning frameworks for ArcGIS.mp4 34.1 MB
3/2. Step 1 Training data creation for convolutional (or deep) neural network (CNN).mp4 32.9 MB
4. Summary & Conclusions/2. Final Project Description.mp4 31.4 MB
3/8. Step 3 Apply deep learning model for object detection or image classification.mp4 26.4 MB
2/2. Deep learning in ArcGIS Pro an overview.mp4 21.7 MB
2/3. Getting started with Deep learning in ArcGIS Pro.mp4 21.1 MB
1. Introduction/1. Introduction.mp4 19.4 MB
2/1. Introduction to neural networks.mp4 11.6 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Text Classification with fastText and machine learning.zip

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[ FreeCourseWeb.com ] Udemy - Text Classification with fastText and machine learning.zip 965.8 MB

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【影视】 [FreeCourseSite.com] Udemy - Learning to Learn [Efficient Learning] Zero to Mastery

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1. Introduction/4. Exercise Method of Loci.mp4 84.9 MB
6. The Techniques/23. Method of Loci.mp4 84.9 MB
1. Introduction/1. Course Outline.mp4 83.3 MB
5. The Science/8. Short And Long Term Memory.mp4 72.4 MB
6. The Techniques/21. The Power Of The Senses.mp4 69.3 MB
5. The Science/2. Focus vs Diffuse Mode.mp4 64.1 MB
6. The Techniques/17. Habits Revisited.mp4 63.2 MB
6. The Techniques/27. Exercise Deep Work.mp4 63.0 MB
5. The Science/10. Active vs Passive Learning.mp4 61.0 MB
4. The Pillars/2. Everything Is A Game.mp4 59.5 MB
6. The Techniques/6. Spaced Repetition Revisited.mp4 55.9 MB
5. The Science/18. Deliberate Practice.mp4 53.4 MB
3. The Lies/2. Follow Your Passion.mp4 49.4 MB
6. The Techniques/19. System vs Goals.mp4 48.1 MB
6. The Techniques/4. Chunk The Subject.mp4 47.9 MB
6. The Techniques/13. Einstellung.mp4 47.4 MB
5. The Science/28. Section Overview.mp4 44.9 MB
6. The Techniques/35. Section Review.mp4 44.1 MB
3. The Lies/5. 10,000 Hours Rule.mp4 40.3 MB
5. The Science/16. Chunking.mp4 39.8 MB

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【影视】 [FreeCourseLab.me] Udemy - Complete Machine Learning and Data Science Zero to Mastery

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05 Data Science Environment Setup/038 Windows Environment Setup 2.mp4 238.7 MB
09 Scikit-learn Creating Machine Learning Models/101 Typical scikit-learn Workflow.mp4 199.4 MB
09 Scikit-learn Creating Machine Learning Models/102 Optional Debugging Warnings In Jupyter.mp4 184.7 MB
16 Career Advice Extra Bits/257 CWD Git Github.mp4 184.7 MB
09 Scikit-learn Creating Machine Learning Models/133 Tuning Hyperparameters.mp4 184.1 MB
14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/228 Training Your Deep Neural Network.mp4 174.7 MB
16 Career Advice Extra Bits/251 What If I Dont Have Enough Experience.mp4 168.8 MB
12 Milestone Project 2 Supervised Learning (Time Series Data)/170 Feature Engineering.mp4 166.9 MB
09 Scikit-learn Creating Machine Learning Models/139 Putting It All Together.mp4 166.0 MB
14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/230 Make And Transform Predictions.mp4 162.5 MB
14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/217 Turning Data Into Batches 2.mp4 156.6 MB
12 Milestone Project 2 Supervised Learning (Time Series Data)/171 Turning Data Into Numbers.mp4 153.3 MB
05 Data Science Environment Setup/035 Mac Environment Setup.mp4 151.4 MB
14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/233 Visualizing And Evaluate Model Predictions 2.mp4 150.8 MB
09 Scikit-learn Creating Machine Learning Models/109 Choosing The Right Model For Your Data.mp4 150.2 MB
12 Milestone Project 2 Supervised Learning (Time Series Data)/183 Feature Importance.mp4 149.2 MB
14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/237 Making Predictions On Test Images.mp4 147.7 MB
14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/236 Training Model On Full Dataset.mp4 146.6 MB
12 Milestone Project 2 Supervised Learning (Time Series Data)/181 Preproccessing Our Data.mp4 146.1 MB
11 Milestone Project 1 Supervised Learning (Classification)/151 Finding Patterns 3.mp4 144.6 MB

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【影视】 Abella Danger - Hands-on Learning.480p.mp4

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Abella Danger - Hands-on Learning.480p.mp4 341.8 MB

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【其他】 Linkedin.Learning.CISSP.Cert.Prep.1.Security.and.Risk.Management-QUiD

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linkedin.learning.cissp.cert.prep.1.security.and.risk.management-quid.r00 15.0 MB
linkedin.learning.cissp.cert.prep.1.security.and.risk.management-quid.r01 15.0 MB
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linkedin.learning.cissp.cert.prep.1.security.and.risk.management-quid.r19 15.0 MB

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【影视】 [FreeCourseLab.me] Udemy - Python required for Data Science and Machine Learning 2020

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6. Python Basics V/2. Topic 2.mp4 83.6 MB
8. Exploratory Data Analysis/2. Case Study - Topic 2.mp4 65.1 MB
6. Python Basics V/1. Topic 1.mp4 63.6 MB
3. Python Basics II/4. Topic 4.mp4 48.7 MB
7. Visualization Tools/2. Matplotlib - Topic 2.mp4 41.8 MB
5. Python Basics IV/1. Topic 1.mp4 34.9 MB
5. Python Basics IV/4. Topic 4.mp4 32.9 MB
3. Python Basics II/3. Topic 3.mp4 28.4 MB
1. Introduction/3. What is Machine Learning and Data Science.mp4 28.3 MB
5. Python Basics IV/2. Topic 2.mp4 27.4 MB
3. Python Basics II/2. Topic 2.mp4 26.7 MB
2. Python Basic I/4. Topic 2.mp4 22.3 MB
2. Python Basic I/2. Installation.mp4 21.3 MB
7. Visualization Tools/3. Seaborn- Topic 1.mp4 18.8 MB
5. Python Basics IV/3. Topic 3.srt 18.0 MB
5. Python Basics IV/3. Topic 3.mp4 18.0 MB
4. Python Basics III/1. Topic 1.mp4 17.0 MB
7. Visualization Tools/7. Seaborn- Topic 5.mp4 16.8 MB
4. Python Basics III/4. Topic 4.mp4 15.1 MB
8. Exploratory Data Analysis/1. Case Study - Topic 1.mp4 14.6 MB

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【压缩文件】 Machine Learning with Jupyter Notebooks in Amazon AWS

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Machine Learning with Jupyter Notebooks in Amazon AWS.zip 1.8 GB
Download more courses.url 123 Bytes
Downloaded from TutsGalaxy.com.txt 73 Bytes
TutsGalaxy.com.txt 52 Bytes

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【压缩文件】 [ FreeCourseWeb.com ] Learning Spring with Spring Boot (Released 12-2019).zip

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[ FreeCourseWeb.com ] Learning Spring with Spring Boot (Released 12-2019).zip 220.4 MB

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【影视】 LinkedIn Learning - HTML - Structured Semantic Data

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18- Writing JSON-LD code for rich search results with a recipe.mp4 27.9 MB
09- Testing your microdata markup with the Structured Data Testing Tool.mp4 24.2 MB
05- Adding itemprop to expand on meaning.mp4 21.1 MB
03- Comparing JSON-LD, RDFa, and microdata for implementing data schemes.mp4 16.7 MB
07- Using the meta tag for information that cannot be marked up.mp4 16.7 MB
08- Using the Structured Data Markup Helper for microdata.mp4 15.8 MB
13- Working with the Structured Data Markup Helper.mp4 13.4 MB
06- Embedding schemas in schemas.mp4 13.2 MB
12- Writing JSON-LD by hand.mp4 12.9 MB
11- Solution - Marking up a document with microdata.mp4 10.9 MB
19- Testing and previewing the rich results code.mp4 10.4 MB
21- Solution - Rich search results for courses.mp4 10.0 MB
02- Introducing schema.org, a standardized way of describing items.mp4 9.2 MB
04- Using itemscope and itemtype to add meaning.mp4 8.3 MB
17- Understanding rich search results from Google.mp4 8.2 MB
01- Appreciating the value of the semantic web.mp4 8.2 MB
15- Challenge - Marking up a document with JSON-LD.mp4 4.5 MB
22- Next steps.mp4 3.7 MB
16- Solution - Marking up a document with JSON-LD.mp4 3.6 MB
10- Challenge - Marking up a document with microdata.mp4 3.4 MB

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【影视】 Graias - The Cost Of Learning.mp4

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Graias - The Cost Of Learning.mp4 1.6 GB

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【影视】 Machine Learning in GIS Understand the Theory and Practice

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[TutsNode.com] - Machine Learning in GIS Understand the Theory and Practice/5. New Image classification in QGIS how to create training and run classification/1. Extra Training data collection for image classification based on Landsat images.mp4 324.3 MB
[TutsNode.com] - Machine Learning in GIS Understand the Theory and Practice/6. Machine Learning in Google Earth Engine/1. Supervised classification with Google Earth Engine.mp4 284.3 MB
[TutsNode.com] - Machine Learning in GIS Understand the Theory and Practice/4. Types of supervised & unsupervised machine learning and applications in GIS/3. Random Forest supervised classification of Sentinel-2 image.mp4 260.9 MB
[TutsNode.com] - Machine Learning in GIS Understand the Theory and Practice/4. Types of supervised & unsupervised machine learning and applications in GIS/4. Decision Trees classification of Sentinel-2 image.mp4 220.2 MB
[TutsNode.com] - Machine Learning in GIS Understand the Theory and Practice/8. Predictions and regression in GIS and deep learning for Big Data Analysis/3. Lab Use regression analysis in ArcGIS.mp4 174.1 MB
[TutsNode.com] - Machine Learning in GIS Understand the Theory and Practice/2. Installation of QGIS on your Computer/3. Exploring QGIS interface.mp4 162.6 MB
[TutsNode.com] - Machine Learning in GIS Understand the Theory and Practice/6. Machine Learning in Google Earth Engine/2. Import images and their visualization in Google Earth Engine.mp4 148.8 MB
[TutsNode.com] - Machine Learning in GIS Understand the Theory and Practice/7. Introduction to object-based machine learning in GIS and QGIS/3. Segmentation of high-resolution satellite image.mp4 148.1 MB
[TutsNode.com] - Machine Learning in GIS Understand the Theory and Practice/6. Machine Learning in Google Earth Engine/3. Unsupervised (K-means) image analysis in Google Earth Engine.mp4 108.8 MB
[TutsNode.com] - Machine Learning in GIS Understand the Theory and Practice/2. Installation of QGIS on your Computer/4. A power of QGIS - QGIS Plug-ins.mp4 104.5 MB
[TutsNode.com] - Machine Learning in GIS Understand the Theory and Practice/3. Introduction to Machine Learning in GIS/1. Introduction to Machine Learning.mp4 98.1 MB
[TutsNode.com] - Machine Learning in GIS Understand the Theory and Practice/2. Installation of QGIS on your Computer/2. Installing QGIS.mp4 91.0 MB
[TutsNode.com] - Machine Learning in GIS Understand the Theory and Practice/1. Introduction to the course, GIS and Remote Sensing/4. Introduction to Remote Sensing applications.mp4 84.8 MB
[TutsNode.com] - Machine Learning in GIS Understand the Theory and Practice/4. Types of supervised & unsupervised machine learning and applications in GIS/1. Supervised and Unsupervised Learning (classification) in GIS and Remote Sensing.mp4 74.9 MB
[TutsNode.com] - Machine Learning in GIS Understand the Theory and Practice/9. Final Project Machine Learning for GIS on cloud (Google Earth Engine)/1. Project assignment.mp4 73.6 MB
[TutsNode.com] - Machine Learning in GIS Understand the Theory and Practice/2. Installation of QGIS on your Computer/1. Computer Set up for GIS analysis and GIS software on the market.mp4 71.8 MB
[TutsNode.com] - Machine Learning in GIS Understand the Theory and Practice/5. New Image classification in QGIS how to create training and run classification/2.2 Landsat5_Image.zip 67.2 MB
[TutsNode.com] - Machine Learning in GIS Understand the Theory and Practice/5. New Image classification in QGIS how to create training and run classification/1.1 Landsat5_Image.zip 67.2 MB
[TutsNode.com] - Machine Learning in GIS Understand the Theory and Practice/4. Types of supervised & unsupervised machine learning and applications in GIS/2. Unsupervised (K-means) image analysis in QGIS.mp4 61.7 MB
[TutsNode.com] - Machine Learning in GIS Understand the Theory and Practice/7. Introduction to object-based machine learning in GIS and QGIS/2. Segmentation and object-based image analysis (OBIA).mp4 54.0 MB

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