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【影视】 [ FreeCourseWeb.com ] Building Automated Machine Images with HashiCorp Packer

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~Get Your Files Here !/04 Builders/002 Demo - Building AWS AMIs with Packer.mp4 195.7 MB
~Get Your Files Here !/10 Packer Integrations/005 Demo - Integrating Packer with GitLab CI_CD.mp4 166.7 MB
~Get Your Files Here !/09 Troubleshooting Your Packer Builds/002 Hands-On Lab - Packer Breakpoints.mp4 152.4 MB
~Get Your Files Here !/10 Packer Integrations/001 Hands-On Lab - Integrating Packer with Red Hat Ansible.mp4 147.2 MB
~Get Your Files Here !/04 Builders/007 Hands-On Lab - Building Images for Different Operating Systems.mp4 145.5 MB
~Get Your Files Here !/09 Troubleshooting Your Packer Builds/001 Hands-On Lab - Packer Debug.mp4 144.1 MB
~Get Your Files Here !/10 Packer Integrations/002 Hands-On Lab - Integrating Packer with HashiCorp Terraform.mp4 133.8 MB
~Get Your Files Here !/01 Course Introduction/001 Introduction.mp4 124.6 MB
~Get Your Files Here !/05 Variables/005 Hands-On Lab - Packer Variables.mp4 109.1 MB
~Get Your Files Here !/04 Builders/004 Demo - Building Google Compute Machine Images with Packer.mp4 107.9 MB
~Get Your Files Here !/04 Builders/005 Demo - Building VMware Templates with Packer.mp4 106.2 MB
~Get Your Files Here !/04 Builders/003 Demo - Building Azure Machine Images with Packer.mp4 101.9 MB
~Get Your Files Here !/10 Packer Integrations/004 Demo - Integrating Packer with HashiCorp Vault using the AWS Secrets Engine.mp4 97.0 MB
~Get Your Files Here !/08 Code Organization/002 Hands-On Lab - Code Organization.mp4 96.8 MB
~Get Your Files Here !/02 Introduction to HashiCorp Packer/004 Core Components of Packer.mp4 96.0 MB
~Get Your Files Here !/03 Writing Packer Templates/005 Hands-On Lab - Writing Packer Templates.mp4 91.0 MB
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~Get Your Files Here !/04 Builders/008 Hands-On Lab - Building Images in Multiple Clouds.mp4 72.9 MB
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【文档书籍】 Creative Machine Embroidery

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【影视】 [ TutPig.com ] Machine Learning Bookcamp, Video Edition

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~Get Your Files Here !/1 - Chapter 1 Introduction to machine learning.mp4 78.8 MB
~Get Your Files Here !/3 - Chapter 1 Evaluation.mp4 72.7 MB
~Get Your Files Here !/21 - Chapter 3 Using the model.mp4 71.1 MB
~Get Your Files Here !/10 - Chapter 2 Validating the model.mp4 70.8 MB
~Get Your Files Here !/51 - Chapter 8 Preparing the Docker image.mp4 69.5 MB
~Get Your Files Here !/25 - Chapter 4 ROC curve and AUC score.mp4 69.2 MB
~Get Your Files Here !/28 - Chapter 4 Next steps.mp4 68.2 MB
~Get Your Files Here !/20 - Chapter 3 Model interpretation.mp4 66.7 MB
~Get Your Files Here !/53 - Chapter 9 Running TensorFlow Serving locally.mp4 65.8 MB
~Get Your Files Here !/13 - Chapter 3 Machine learning for classification.mp4 65.8 MB
~Get Your Files Here !/50 - Chapter 8 Serverless deep learning.mp4 65.5 MB
~Get Your Files Here !/54 - Chapter 9 Model deployment with Kubernetes.mp4 64.2 MB
~Get Your Files Here !/40 - Chapter 6 Parameter tuning for XGBoost.mp4 63.8 MB
~Get Your Files Here !/49 - Chapter 7 Using the model.mp4 61.7 MB
~Get Your Files Here !/26 - Chapter 4 ROC Curve.mp4 60.3 MB
~Get Your Files Here !/42 - Chapter 7 Neural networks and deep learning.mp4 59.0 MB
~Get Your Files Here !/23 - Chapter 4 Confusion table.mp4 59.0 MB
~Get Your Files Here !/22 - Chapter 4 Evaluation metrics for classification.mp4 57.3 MB
~Get Your Files Here !/15 - Chapter 3 Feature importance, Part 1.mp4 56.7 MB

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【影视】 [FreeCourseSite.com] Udemy - Machine Learning & Deep Learning in Python & R

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27 ANN in R/008 Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
37 Time Series - Preprocessing in Python/003 Time Series - Visualization in Python.mp4 173.2 MB
18 Ensemble technique 3 - Boosting/007 XGBoosting in R.mp4 169.1 MB
26 ANN in Python/009 Building Neural Network for Regression Problem.mp4 163.5 MB
26 ANN in Python/011 Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
23 Creating Support Vector Machine Model in R/004 Classification SVM model using Linear Kernel.mp4 145.9 MB
27 ANN in R/006 Building Regression Model with Functional API.mp4 137.5 MB
27 ANN in R/003 Building,Compiling and Training.mp4 137.1 MB
34 Transfer Learning _ Basics/006 Project - Transfer Learning - VGG16.mp4 135.4 MB
07 Linear Regression/020 Ridge regression and Lasso in Python.mp4 135.1 MB
25 Neural Networks - Stacking cells to create network/003 Back Propagation.mp4 128.1 MB
38 Time Series - Important Concepts/005 Differencing in Python.mp4 118.5 MB
37 Time Series - Preprocessing in Python/005 Time Series - Feature Engineering in Python.mp4 118.2 MB
27 ANN in R/002 Data Normalization and Test-Train Split.mp4 117.2 MB
05 Introduction to Machine Learning/001 Introduction to Machine Learning.mp4 114.5 MB
37 Time Series - Preprocessing in Python/001 Data Loading in Python.mp4 114.1 MB
23 Creating Support Vector Machine Model in R/008 SVM based Regression Model in R.mp4 111.3 MB
07 Linear Regression/021 Ridge regression and Lasso in R.mp4 108.5 MB
14 Simple Decision Trees/013 Building a Regression Tree in R.mp4 108.3 MB
35 Transfer Learning in R/001 Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB

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【影视】 Machine.Learning

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2. Machine Learning Tour/11. Machine Learning - hands on.mp4 50.6 MB
3. Projeto de ML preparando-se para jornada/2. Dataframes no pandas.mp4 49.7 MB
3. Projeto de ML preparando-se para jornada/4. Etapas projeto Machine Learning.mp4 46.7 MB
6. Probabilidades e filtro de spam [Intermediário]/1. Axiomas de probabilidade.mp4 44.5 MB
4. Projeto offline de ML/9. Viés v.s. Variância.mp4 43.6 MB
4. Projeto offline de ML/3. Separando dados.mp4 40.9 MB
3. Projeto de ML preparando-se para jornada/1. Introdução ao pandas - pandas series.mp4 40.6 MB
1. Introdução ao Machine Learning/6. Tipos de aprendizado.mp4 38.3 MB
4. Projeto offline de ML/1. Iniciando projeto.mp4 36.5 MB
4. Projeto offline de ML/7. Codificando dados.mp4 36.1 MB
2. Machine Learning Tour/7. Regressão Logística - Introdução.mp4 34.8 MB
1. Introdução ao Machine Learning/5. Perspectiva do aprendizado de máquina.mp4 33.9 MB
4. Projeto offline de ML/10. Validação de modelos.mp4 33.7 MB
7. Formulação probabilística da regressão linear [Intermediário]/3. Regressão Linear formulação probabilística, parte III.mp4 31.8 MB
5. Classificação/1. Matriz de confusão, acurácia, precisão e revocação.mp4 31.7 MB
2. Machine Learning Tour/6. Random Forest - Introdução.mp4 31.6 MB
4. Projeto offline de ML/6. Preparando dados.mp4 31.5 MB
2. Machine Learning Tour/4. Decision Tree - Prós e contras.mp4 30.4 MB
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7. Formulação probabilística da regressão linear [Intermediário]/2. Regressão Linear formulação probabilística, parte II.mp4 27.9 MB

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【压缩文件】 [ FreeCourseWeb.com ] The Machine Learning and Data Science Course.zip

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【影视】 [ TutSala.com ] Udemy - Machine Learning for Product Managers - A Practical Guide

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~Get Your Files Here !/6. Build Your Model/3. Machine Learning as a Service (MLaaS).mp4 80.5 MB
~Get Your Files Here !/2. When to ML/7. Exercise #5 To ML or Not to ML.mp4 78.7 MB
~Get Your Files Here !/4. Get Your Data/6. Top Open Data Sources.mp4 71.5 MB
~Get Your Files Here !/2. When to ML/2. ML Product Horror Stories.mp4 68.7 MB
~Get Your Files Here !/1. Intro to ML/8. Types of ML.mp4 54.8 MB
~Get Your Files Here !/7. Deploy Your Model/2. Evaluation Metrics (Precision, Recall & F1 Score).mp4 54.3 MB
~Get Your Files Here !/3. How to ML/4. The ML Life Cycle.mp4 54.1 MB
~Get Your Files Here !/1. Intro to ML/4. ML is Going Mainstream.mp4 53.2 MB
~Get Your Files Here !/4. Get Your Data/2. Google reCAPTCHA.mp4 53.0 MB
~Get Your Files Here !/3. How to ML/5. Exercise#6 Create & Test Your Hypothesis.mp4 50.5 MB
~Get Your Files Here !/4. Get Your Data/1. Data Acquisition Strategies.mp4 44.7 MB
~Get Your Files Here !/1. Intro to ML/13. Exercise #3 Apply your ML Lingo.mp4 42.4 MB
~Get Your Files Here !/2. When to ML/5. Exercise #4 Need interpretability.mp4 38.5 MB
~Get Your Files Here !/1. Intro to ML/10. Deep Learning.mp4 36.3 MB
~Get Your Files Here !/1. Intro to ML/11. ML Real World Examples.mp4 36.1 MB
~Get Your Files Here !/7. Deploy Your Model/7. Monitoring Your Model.mp4 34.5 MB
~Get Your Files Here !/7. Deploy Your Model/1. The Confusion Matrix.mp4 33.8 MB
~Get Your Files Here !/1. Intro to ML/9. Exercise #2 What Type of ML is This.mp4 31.6 MB
~Get Your Files Here !/6. Build Your Model/5. Classification (SVM, K-NN, Decision Trees).mp4 29.0 MB
~Get Your Files Here !/3. How to ML/2. Organizing ML Teams.mp4 28.6 MB

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【文档书籍】 George.M.Chinn.The.Machine.Gun

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【影视】 Complete Machine Learning with R Studio - ML for 2021

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18 Ensemble technique 3 - GBM, AdaBoost and XGBoost/004 XGBoosting in R.mp4 195.5 MB
22 Creating Support Vector Machine Model in R/005 Classification SVM model using Linear Kernel.mp4 175.0 MB
07 Regression models other than OLS/005 Ridge regression and Lasso in R.mp4 130.0 MB
22 Creating Support Vector Machine Model in R/010 SVM based Regression Model in R.mp4 130.0 MB
04 Intorduction to Machine Learning/001 Introduction to Machine Learning.mp4 129.3 MB
14 Simple Decision Trees/008 Building a Regression Tree in R.mp4 127.8 MB
02 Setting up R Studio and R crash course/008 Creating Barplots in R.mp4 122.9 MB
05 Data Preprocessing for Regression Analysis/012 Bi-variate Analysis and Variable Transformation.mp4 118.6 MB
05 Data Preprocessing for Regression Analysis/006 EDD in R.mp4 117.4 MB
06 Linear Regression Model/003 Assessing Accuracy of predicted coefficients.mp4 108.9 MB
18 Ensemble technique 3 - GBM, AdaBoost and XGBoost/003 AdaBoosting in R.mp4 108.0 MB
15 Simple Classification Tree/003 Building a classification Tree in R.mp4 104.9 MB
22 Creating Support Vector Machine Model in R/007 Polynomial Kernel with Hyperparameter Tuning.mp4 103.4 MB
02 Setting up R Studio and R crash course/004 Packages in R.mp4 103.3 MB
14 Simple Decision Trees/010 Pruning a Tree in R.mp4 101.7 MB
05 Data Preprocessing for Regression Analysis/018 Correlation Matrix in R.mp4 99.5 MB
06 Linear Regression Model/013 Test-Train Split in R.mp4 95.3 MB
12 K-Nearest Neighbors/002 Test-Train Split in R.mp4 94.5 MB
11 Linear Discriminant Analysis/002 Linear Discriminant Analysis in R.mp4 93.8 MB
08 Classification Models_ Data Preparation/001 The Data and the Data Dictionary.mp4 91.7 MB

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【影视】 GetFreeCourses.Co-Udemy-Machine Learning & Data Science A-Z Hands-on Python 2021

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6. Supervised Learning - Regression/8. Random Forest Model Development.mp4 258.2 MB
5. Supervised Learning - Classification/1. Supervised Learning Models - Introduction and Understanding the Data.mp4 245.1 MB
5. Supervised Learning - Classification/4. k-NN Training-Set and Test-Set Creation.mp4 239.5 MB
3. Data Preprocessing/6. Missing Values2.mp4 230.0 MB
6. Supervised Learning - Regression/1. Simple and Multiple Linear Regression Concepts.mp4 222.5 MB
3. Data Preprocessing/3. Statistics2.mp4 217.6 MB
6. Supervised Learning - Regression/6. Polynomial Linear Regression Model Development.mp4 217.0 MB
2. Machine Learning Useful Packages (Libraries)/13. Visualization with Matplotlib2.mp4 215.2 MB
2. Machine Learning Useful Packages (Libraries)/11. Pandas4.mp4 212.9 MB
2. Machine Learning Useful Packages (Libraries)/14. Visualization with Matplotlib3.mp4 198.0 MB
3. Data Preprocessing/12. Normalization.mp4 195.9 MB
5. Supervised Learning - Classification/13. Model Evaluation - Calculating with Python.mp4 182.5 MB
6. Supervised Learning - Regression/4. Evaluation Metrics - Implementation.mp4 167.7 MB
3. Data Preprocessing/1. Reading and Modifying a Dataset.mp4 162.1 MB
2. Machine Learning Useful Packages (Libraries)/6. NumPy5.mp4 160.1 MB
7. Unsupervised Learning - Clustering Techniques/10. Hierarchical Clustering Model Development.mp4 153.0 MB
2. Machine Learning Useful Packages (Libraries)/15. Visualization with Matplotlib4.mp4 149.9 MB
5. Supervised Learning - Classification/3. k-NN Model Development.mp4 147.5 MB
2. Machine Learning Useful Packages (Libraries)/7. NumPy6.mp4 141.0 MB
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