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12_-_Natural_Language_Processing_and_Python/28_-_Put_it_to_work_-_News_Article_Clustering_with_K-Means_and_TF-IDF.mp4  107.16 MB
12_-_Natural_Language_Processing_and_Python/25_-_Put_it_to_work_-_News_Article_Classification_using_K-Nearest_Neighbors.mp4  148 MB
12_-_Natural_Language_Processing_and_Python/24_-_A_Serious_NLP_Application_-_Text_Auto_Summarization_using_Python.mp4  91.1 MB
12_-_Natural_Language_Processing_and_Python/26_-_Put_it_to_work_-_News_Article_Classification_using_Naive_Bayes_Classifier.mp4  140.68 MB

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Class 1 - Statistical Learning Theory-E1bIqR8Bqr0.mkv  778.98 MB
Class 2 - Tikhonov regularization and kernels-xevu1vRdX6w.mp4  549.71 MB
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02.Machine Learning Packages spark.mllib vs. spark.ml/0210.Demo Wine Classification Using Decision Trees in spark.mllib.mp4  19.99 MB
04.Implementing Clustering and Dimensionality Reduction in Spark ML/0407.Demo Exploring Clusters.mp4  18.5 MB
03.Building Classification and Regression Models in Spark ML/0314.Demo Using ML Pipelines.mp4  15.45 MB
04.Implementing Clustering and Dimensionality Reduction in Spark ML/0409.Demo Regression Model Without PCA.mp4  15.32 MB
02.Machine Learning Packages spark.mllib vs. spark.ml/0212.Demo Decision Trees Using the LIBSVM Data Format.mp4  15.21 MB

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chapter_022.mp4  32.28 MB
chapter_007.mp4  24.91 MB
chapter_038.mp4  24.24 MB
chapter_033.mp4  23.46 MB

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02 Introduction to Data Scientists Toolbox/022 Data Visualization.mp4  60.69 MB
03 Exploratory Data Analysis Feature Engineering and Hypothesis Testing/029 Bivariate Analysis.mp4  55.23 MB
02 Introduction to Data Scientists Toolbox/018 Data Engineering.mp4  49.75 MB
02 Introduction to Data Scientists Toolbox/015 Datatypes demo.mp4  41.72 MB
04 Machine Learning/054 Cross Validation Hyperparameter Demo.mp4  41.55 MB

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4.3. Algorithms on Parade/18.Logistic regression.mp4  24.63 MB
4.3. Algorithms on Parade/24.Bayesian networks.mp4  17.7 MB
5.4. Common Modeling Challenges/30.Data reduction.mp4  15.34 MB
4.3. Algorithms on Parade/23.Neural nets.mp4  14.87 MB
4.3. Algorithms on Parade/22.Linear SVM.mp4  13.31 MB

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5.4. Running ML Services in Containers/19.Example Docker build process.mp4  11.13 MB
2.1. The Need to Scale ML Models/06.Overview of tools and techniques for scalable ML.mp4  9.82 MB
2.1. The Need to Scale ML Models/03.Building and running ML models for data scientists.mp4  9.57 MB
4.3. Deploying ML Models as Services/14.Using Flask to create APIs for Python programs.mp4  8.51 MB
3.2. Design Patterns for Scalable ML Applications/09.APIs for ML model services.mp4  8.33 MB

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4.Real Time Object Detection/28.Build a Java Real Time Video Car and Pedestrians Detection Application.mp4  83.67 MB
Exercise Files/code_34273.zip  54.45 MB
5.Creating Art with Neural Style Transfer/33.Build a Neural Network Which Produces Art.mp4  37.78 MB
3.Transfer Learning and Deep CNN Architectures/22.Building Animal Image Classification (Using Transfer Learning and VGG-16 Architecture).mp4  37.56 MB
2.Convolution Neural Network Architectures/12.Java Edge Detection Application.mp4  34.33 MB

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027.SVMs in Practice/076. Using An SVM.mp4  31.99 MB
009.Octave Matlab Tutorial/028. Moving Data Around.mp4  29.53 MB
025.Large Margin Classification/073. Mathematics Behind Large Margin Classification.mp4  28.48 MB
019.Application of Neural Networks/058. Autonomous Driving.mp4  28.3 MB
011.Logistic Regression Model/038. Advanced Optimization.mp4  26.77 MB

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01.Course Overview/0101.Course Overview.mp4  4.89 MB
02.Machine Learning Packages spark.mllib vs. spark.ml/0201.Module Overview.mp4  2.59 MB
02.Machine Learning Packages spark.mllib vs. spark.ml/0202.Prerequisites and Course Overview.mp4  4.55 MB
02.Machine Learning Packages spark.mllib vs. spark.ml/0203.RDDs The Building Blocks of Spark.mp4  5.63 MB
02.Machine Learning Packages spark.mllib vs. spark.ml/0204.DataFrames in Spark 2.mp4  2.62 MB

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1.Introduction/01.What can machine learning do for your marketing campaign.mp4  21.13 MB
1.Introduction/02.The time for machine learning (ML) is now.mp4  17.69 MB
4.3. Using ML to Improve Active Customer Engagement/11.Use case - Improve customer satisfaction.mp4  15.87 MB
2.1. Using ML to Improve Market Awareness/05.Use case - Media planning and implementation.mp4  14.33 MB
3.2. Using ML to Improve Consideration Engagement/07.Use case - Predict demand.mp4  13.02 MB

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Hot：208  Size：9.21 GB  Created：2020-04-30 21:24:38  File Count：261

Python, Machine Learning and Algorithmic Trading Masterclass/6. Classes and Objects/4. Inheritance.mp4  252.59 MB
Python, Machine Learning and Algorithmic Trading Masterclass/12. Technical Stock Analysis/5. Common Technical Indicators.mp4  223.57 MB
Python, Machine Learning and Algorithmic Trading Masterclass/13. Intro to Tensorflow and Machine Learning/8. Simple Linear Regression Model.mp4  208.28 MB
Python, Machine Learning and Algorithmic Trading Masterclass/16. Quantopian/15. Creating and Testing a Portfolio.mp4  187.04 MB
Python, Machine Learning and Algorithmic Trading Masterclass/8. Numpy Tutorials/8. Numpy Matrix Functions.mp4  186.98 MB

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