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【影视】 [DesireCourse.Net] Udemy - Deploy Machine Learning & NLP Models with Dockers (DevOps)

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7. Building NLP based Text Clustering application/5. Preparing the excel output.mp4 114.1 MB
7. Building NLP based Text Clustering application/3. Converting unstructured to structured data.mp4 100.3 MB
8. API for image recognition with deep learning/4. Building the deep learning model.mp4 97.7 MB
7. Building NLP based Text Clustering application/2. Stemming & Lemmatization for cleaner text.mp4 95.3 MB
8. API for image recognition with deep learning/3. Preparing the input images.mp4 93.9 MB
6. Building a production grade Docker application/5. Running and debugging a docker container in production.mp4 90.2 MB
4. Exposing a Random Forest Machine Learning service as an API/8. Flasgger for autogenerating UI.mp4 89.3 MB
7. Building NLP based Text Clustering application/4. KMeans Clustering.mp4 86.2 MB
5. Writing and building the Dockerfile/8. Running the Random Forest model on Docker.mp4 82.6 MB
8. API for image recognition with deep learning/7. Flask API wrapper for making predictions.mp4 82.1 MB
7. Building NLP based Text Clustering application/8. Final output with charts.mp4 80.1 MB
4. Exposing a Random Forest Machine Learning service as an API/7. Providing file input to Flask API.mp4 79.4 MB
7. Building NLP based Text Clustering application/7. Finding top keywords for kmeans clusters.mp4 78.6 MB
5. Writing and building the Dockerfile/7. Building the docker image.mp4 78.4 MB
8. API for image recognition with deep learning/2. Visualizing the input images.mp4 71.7 MB
7. Building NLP based Text Clustering application/6. Making the output Downloadable.mp4 68.7 MB
6. Building a production grade Docker application/3. Configuring the WSGI file.mp4 65.5 MB
6. Building a production grade Docker application/4. Writing a production grade Dockerfile.mp4 64.4 MB
4. Exposing a Random Forest Machine Learning service as an API/5. Exposing the Random Forest model as a Flask API.mp4 56.9 MB
3. Flask basics/5. POST request with Flask.mp4 50.3 MB

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10. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
11. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
4. Hidden Markov Models for Discrete Observations/5. The Forward-Backward Algorithm (part 1).mp4 68.3 MB
4. Hidden Markov Models for Discrete Observations/12. HMM Training (part 3).mp4 63.1 MB
4. Hidden Markov Models for Discrete Observations/9. The Viterbi Algorithm (part 2).mp4 62.2 MB
4. Hidden Markov Models for Discrete Observations/13. HMM Training (part 4).mp4 58.3 MB
4. Hidden Markov Models for Discrete Observations/16. Discrete HMM in Code.mp4 49.7 MB
6. HMMs for Continuous Observations/3. Continuous-Observation HMM in Code (part 1).mp4 49.0 MB
6. HMMs for Continuous Observations/5. Continuous HMM in Theano.mp4 47.6 MB
10. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
4. Hidden Markov Models for Discrete Observations/2. HMM - Basic Examples.mp4 44.4 MB
4. Hidden Markov Models for Discrete Observations/11. HMM Training (part 2).mp4 41.9 MB
12/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
13. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
12/4. What order should I take your courses in (part 2).mp4 39.5 MB
4. Hidden Markov Models for Discrete Observations/14. How to Choose the Number of Hidden States.mp4 35.5 MB
2. Markov Models/2. Markov Models.mp4 34.1 MB
4. Hidden Markov Models for Discrete Observations/3. Parameters of an HMM.mp4 32.8 MB
5. Discrete HMMs Using Deep Learning Libraries/3. Discrete HMM in Theano.mp4 32.2 MB
12/3. What order should I take your courses in (part 1).mp4 30.8 MB

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【影视】 [FreeAllCourse.Com] Udemy - Machine Learning, Data Science and Deep Learning with Python

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2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.mp4 155.0 MB
6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4 149.0 MB
10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4 148.5 MB
8. Apache Spark Machine Learning on Big Data/8. Introduction to Decision Trees in Spark.mp4 140.5 MB
5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4 139.0 MB
6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 138.7 MB
7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 135.7 MB
2. Statistics and Probability Refresher, and Python Practice/8. [Activity] A Crash Course in matplotlib.mp4 135.6 MB
10. Deep Learning and Neural Networks/18. The Ethics of Deep Learning.mp4 134.5 MB
2. Statistics and Probability Refresher, and Python Practice/11. [Exercise] Conditional Probability.mp4 131.2 MB
1. Getting Started/11. Introducing the Pandas Library [Optional].mp4 129.1 MB
10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 1.mp4 124.0 MB
8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4 123.6 MB
2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.mp4 122.4 MB
10. Deep Learning and Neural Networks/15. [Activity] Transfer Learning.mp4 120.9 MB
2. Statistics and Probability Refresher, and Python Practice/7. [Activity] Percentiles and Moments.mp4 119.6 MB
8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.mp4 117.4 MB
2. Statistics and Probability Refresher, and Python Practice/4. [Activity] Variation and Standard Deviation.mp4 116.2 MB
6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.mp4 115.1 MB
5. Recommender Systems/3. [Activity] Finding Movie Similarities.mp4 113.1 MB

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6. Tree/6. Project HR.mp4 186.5 MB
7. Ensemble Machine Learning/2. Bagging.mp4 173.5 MB
12. Appendix A1 Foundations of Deep Learning/4. What is Deep Learning.mp4 163.2 MB
3. Regression/2. EDA.mp4 159.0 MB
11. Deep Learning/3. Motivational Example - Project MNIST.mp4 152.0 MB
11. Deep Learning/1. Estimating Simple Function with Neural Networks.mp4 150.8 MB
13. Computer Vision and Convolutional Neural Network (CNN)/4. Visualizing CNN.mp4 148.8 MB
3. Regression/15. Data Preprocessing.mp4 142.1 MB
13. Computer Vision and Convolutional Neural Network (CNN)/11. Training Your CNN 2.mp4 134.8 MB
3. Regression/19. CV Illustration.mp4 133.4 MB
10. Unsupervised Learning Clustering/1. Clustering.mp4 131.8 MB
3. Regression/9. Multiple Regression 1.mp4 131.6 MB
13. Computer Vision and Convolutional Neural Network (CNN)/10. Training Your CNN 1.mp4 130.9 MB
4. Classification/1. Logistic Regression.mp4 125.4 MB
3. Regression/7. Robust Regression.mp4 124.8 MB
13. Computer Vision and Convolutional Neural Network (CNN)/16. Feature Extraction.mp4 116.5 MB
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[TutsNode.com] - Machine Learning Deep Learning Model Deployment/06 Deploying NLP models for Twitter sentiment analysis/028 Creating and saving text classifier and tf-idf models.mp4 70.8 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/05 Deploying Deep Learning Models/020 Building and deploying PyTorch models.mp4 67.6 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/08 Model as a mathematical formula/044 Deriving formula from a Linear Regression Model.mp4 67.2 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/04 Creating a REST API for the Machine Learning Model/016 Serverless Machine Learning API using Cloud Functions.mp4 57.9 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/04 Creating a REST API for the Machine Learning Model/014 Hosting the Machine Learning REST API on the Cloud.mp4 54.7 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/06 Deploying NLP models for Twitter sentiment analysis/036 Serving TensorFlow models serverless.mp4 47.4 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/04 Creating a REST API for the Machine Learning Model/012 Creating a REST API for the Model.mp4 46.0 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/05 Deploying Deep Learning Models/024 Creating a REST API using TensorFlow Model Server.mp4 44.4 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/06 Deploying NLP models for Twitter sentiment analysis/030 Deploying tf-idf and text classifier models for Twitter sentiment analysis.mp4 42.2 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/06 Deploying NLP models for Twitter sentiment analysis/033 Twitter sentiment analysis with PyTorch REST API.mp4 42.1 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/05 Deploying Deep Learning Models/022 Saving & loading TensorFlow Keras models.mp4 40.6 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/04 Creating a REST API for the Machine Learning Model/011 Flask REST API Hello World.mp4 35.1 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/05 Deploying Deep Learning Models/021 Creating a REST API for the PyTorch Model.mp4 35.0 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/06 Deploying NLP models for Twitter sentiment analysis/026 Converting text to numeric values using bag-of-words model.mp4 35.0 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/06 Deploying NLP models for Twitter sentiment analysis/027 tf-idf model for converting text to numeric values.mp4 31.2 MB
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