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【影视】 Unsupervised Machine Learning Hidden Markov Models in Python

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[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/10. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/11. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/1. Introduction and Outline/4. Anyone Can Succeed in this Course.mp4 81.7 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/4. Hidden Markov Models for Discrete Observations/5. The Forward-Backward Algorithm (part 1).mp4 68.3 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/4. Hidden Markov Models for Discrete Observations/12. HMM Training (part 3).mp4 63.1 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/4. Hidden Markov Models for Discrete Observations/9. The Viterbi Algorithm (part 2).mp4 62.2 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/4. Hidden Markov Models for Discrete Observations/13. HMM Training (part 4).mp4 58.3 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/4. Hidden Markov Models for Discrete Observations/16. Discrete HMM in Code.mp4 49.7 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/6. HMMs for Continuous Observations/3. Continuous-Observation HMM in Code (part 1).mp4 49.0 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/6. HMMs for Continuous Observations/5. Continuous HMM in Theano.mp4 47.6 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/10. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/4. Hidden Markov Models for Discrete Observations/2. HMM - Basic Examples.mp4 44.4 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/4. Hidden Markov Models for Discrete Observations/11. HMM Training (part 2).mp4 41.9 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/12. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/13. Appendix FAQ Finale/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/12. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/4. Hidden Markov Models for Discrete Observations/14. How to Choose the Number of Hidden States.mp4 35.5 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/2. Markov Models/2. Markov Models.mp4 34.0 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/4. Hidden Markov Models for Discrete Observations/3. Parameters of an HMM.mp4 32.8 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/5. Discrete HMMs Using Deep Learning Libraries/3. Discrete HMM in Theano.mp4 32.2 MB

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【影视】 [FreeCourseLab.com] Udemy - A-Z Machine Learning using Azure Machine Learning (AzureML)

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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
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【影视】 Grind Against The Machine.mp4

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【影视】 How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)

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4. Solving Classification Problems/5. Implementing Support Vector Machines.mp4 24.9 MB
4. Solving Classification Problems/3. Implementing Naive Bayes.mp4 22.1 MB
7. Recommending Relevant Products to a User/3. Finding Hidden Factors that Influence Ratings.mp4 15.7 MB
3. Classifying Data into Predefined Categories/1. Understanding the Setup of a Classification Problem.mp4 15.5 MB
2. Introducing Machine Learning/4. Identifying the Type of a Machine Learning Problem.mp4 15.2 MB
2. Introducing Machine Learning/2. Knowing When to Use Machine Learning.mp4 14.3 MB
4. Solving Classification Problems/1. Using the Naive Bayes Algorithm for Sentiment Analysis.mp4 14.2 MB
8. Clustering Large Data Sets into Meaningful Groups/2. Contrasting Clustering and Classification.mp4 14.1 MB
6. Solving Regression Problems/3. Minimizing Error Using Stochastic Gradient Descent.mp4 13.6 MB
7. Recommending Relevant Products to a User/2. Predicting Ratings Using Collaborative Filtering.mp4 13.4 MB
2. Introducing Machine Learning/1. Recognizing Machine Learning Applications.mp4 12.1 MB
8. Clustering Large Data Sets into Meaningful Groups/4. Implementing K-Means Clustering.mp4 11.8 MB
8. Clustering Large Data Sets into Meaningful Groups/3. Document Clustering with K-Means.mp4 11.7 MB
9. Wrapping up and Next Steps/2. Looking Ahead.mp4 11.5 MB
9. Wrapping up and Next Steps/1. Surveying Machine Learning Techniques.mp4 11.4 MB
3. Classifying Data into Predefined Categories/3. Classifying Text on the Basis of Sentiment.mp4 11.0 MB
8. Clustering Large Data Sets into Meaningful Groups/1. Understanding the Clustering Setup.mp4 10.3 MB
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【影视】 Data Science Practical Automated Machine Learning(Auto ML)

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[TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/7. Auto Keras Models/3. Image classification using ANN AutoKeras.mp4 156.4 MB
[TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/4. Auto Sklearn Part2/3. Data preprocessing and Data visulization.mp4 124.1 MB
[TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/7. Auto Keras Models/11. Topic Classifer using Autokeras.mp4 112.8 MB
[TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/4. Auto Sklearn Part2/4. Model Building.mp4 109.3 MB
[TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/7. Auto Keras Models/9. Text classification using Autokeras.mp4 108.0 MB
[TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/7. Auto Keras Models/5. Image classification using CNN Autokeras.mp4 105.7 MB
[TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/3. Auto Sklearn Part 1/3. Data Preprocessing And Data Visualization.mp4 97.6 MB
[TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/7. Auto Keras Models/7. Object recognition using autokeras.mp4 87.1 MB
[TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/3. Auto Sklearn Part 1/4. Building a model.mp4 79.3 MB
[TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/7. Auto Keras Models/1. Image classification using AutoKeras.mp4 72.1 MB
[TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/4. Auto Sklearn Part2/2.1 Credit_card_fraud_detection.zip 69.9 MB
[TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/4. Auto Sklearn Part2/1. Introduction to credit card fraud detection.mp4 66.2 MB
[TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/5. TPOT Models Part 1/3. Data preprocessing and visualization.mp4 63.2 MB
[TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/6. TPOT Models Part 2/4. Model building.mp4 60.3 MB
[TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/5. TPOT Models Part 1/4. Model building.mp4 56.3 MB
[TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/6. TPOT Models Part 2/3. Data preprocessing and visualization.mp4 50.1 MB
[TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/3. Auto Sklearn Part 1/1. Introduction to mobile price prediction.mp4 39.3 MB
[TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/2. Introduction to AutoML/3. Introduction to Auto Keras.mp4 32.6 MB
[TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/5. TPOT Models Part 1/1. Introduction to medical insurance cost prediction.mp4 31.1 MB
[TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/6. TPOT Models Part 2/1. Introduction to Red wine quality classification.mp4 30.2 MB