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Total Training - Machine Learning - Python Programming From Beginner to Intermediate
01 - Introduction.mp4
60.3 MB
02 - Coding is Like Cooking.mp4
133.3 MB
03 - Anaconda & Pip.mp4
39.4 MB
04 - Variables are Like Containers.mp4
63.1 MB
05 - A List is a List.mp4
48.2 MB
06 - Fun with Lists!.mp4
30.3 MB
07 - Dictionaries & If-Else.mp4
41.0 MB
08 - Don't Jump through Hoops - Use Loops.mp4
20.9 MB
09 - Doing Stuff with Loops.mp4
37.4 MB
10 - Everything in Life is a List - Strings as Lists.mp4
23.8 MB
11 - Modules are Cool for Code-Reuse.mp4
10.7 MB
12 - Our First Serious Program - Downloading a Webpage.mp4
66.8 MB
13 - A Few Details - Conditionals.mp4
44.5 MB
14 - A Few Details - Exception Handling in Python.mp4
45.2 MB
15 - A File is Like a Barrel.mp4
70.9 MB
16 - Auto-Generating Spreadsheets with Python.mp4
49.1 MB
17 - Auto-Generating Spreadsheets - Download & Unzip.mp4
75.7 MB
18 - Auto-Generating Spreadsheets - Parcing CSV Files.mp4
61.9 MB
19 - Auto-Generating Spreadsheets with XLSXwriter.mp4
16.1 MB
20 - Functions are Like Food Processors.mp4
54.2 MB
[磁力链接]
添加时间:
2017-08-06
大小:
3.3 GB
最近下载:
2025-03-12
热度:
2696
[FreeTutorials.Us] python-for-data-science-and-machine-learning-bootcamp
01 Course Introduction/001 Introduction to the Course.mp4
45.1 MB
01 Course Introduction/002 Course Help and Welcome.mp4
23.2 MB
01 Course Introduction/003 Course FAQs.html
5.7 kB
01 Course Introduction/attached_files/003 Course FAQs/Python-Data-Science-and-Machine-Learning-Bootcamp.zip
139.4 MB
02 Environment Set-Up/004 Environment Set-up and Installation.mp4
29.5 MB
03 Jupyter Overview/005 Jupyter Notebooks.mp4
39.6 MB
03 Jupyter Overview/006 Optional Virtual Environments.mp4
22.8 MB
03 Jupyter Overview/attached_files/005 Jupyter Notebooks/Python-Data-Science-and-Machine-Learning-Bootcamp.zip
139.4 MB
04 Python Crash Course/007 Welcome to the Python Crash Course Section.mp4
11.2 MB
04 Python Crash Course/008 Introduction to Python Crash Course.mp4
3.2 MB
04 Python Crash Course/009 Python Crash Course - Part 1.mp4
42.1 MB
04 Python Crash Course/010 Python Crash Course - Part 2.mp4
33.8 MB
04 Python Crash Course/011 Python Crash Course - Part 3.mp4
37.5 MB
04 Python Crash Course/012 Python Crash Course - Part 4.mp4
34.1 MB
04 Python Crash Course/013 Python Crash Course Exercises - Overview.mp4
12.8 MB
04 Python Crash Course/014 Python Crash Course Exercises - Solutions.mp4
36.1 MB
05 Python for Data Analysis - NumPy/015 Welcome to the NumPy Section.mp4
7.3 MB
05 Python for Data Analysis - NumPy/016 Introduction to Numpy.mp4
5.0 MB
05 Python for Data Analysis - NumPy/017 Numpy Arrays.mp4
40.0 MB
05 Python for Data Analysis - NumPy/018 Quick Note on Array Indexing.html
1.4 kB
[磁力链接]
添加时间:
2017-08-09
大小:
4.5 GB
最近下载:
2025-03-09
热度:
2272
oreilly.com - Advanced Machine Learning ® vampiri6ka
01 Introduction.mkv
183.2 MB
02 Classification Part 1.mkv
178.8 MB
03 Classification Part 2.mkv
408.4 MB
04 Clustering.mkv
251.8 MB
05 Learning From Data.mkv
205.6 MB
06 Conclusions.mkv
59.5 MB
[磁力链接]
添加时间:
2017-08-13
大小:
1.3 GB
最近下载:
2018-11-30
热度:
126
Neural Networks for Machine Learning
Info/0804 Echo state network - Scholarpedia_files/1088796616-postmessagerelay.js
5.1 kB
Info/0804 Echo state network - Scholarpedia_files/400px-FreqGenTestOverlay.png
39.9 kB
Info/0804 Echo state network - Scholarpedia_files/500px-FreqGenSchema.png
73.5 kB
Info/0804 Echo state network - Scholarpedia_files/88x31.png
5.5 kB
Info/0804 Echo state network - Scholarpedia_files/badge.gif
3.7 kB
Info/0804 Echo state network - Scholarpedia_files/cb=gapi.loaded_0
100.5 kB
Info/0804 Echo state network - Scholarpedia_files/cb=gapi.loaded_1
51.4 kB
Info/0804 Echo state network - Scholarpedia_files/core-rpc-shindig.random-shindig.sha1.js
68.1 kB
Info/0804 Echo state network - Scholarpedia_files/facebook.png
540 Bytes
Info/0804 Echo state network - Scholarpedia_files/fastbutton.htm
47.4 kB
Info/0804 Echo state network - Scholarpedia_files/ga.js
40.0 kB
Info/0804 Echo state network - Scholarpedia_files/gplus-16.png
492 Bytes
Info/0804 Echo state network - Scholarpedia_files/linkedin.png
636 Bytes
Info/0804 Echo state network - Scholarpedia_files/load(1).php
154.2 kB
Info/0804 Echo state network - Scholarpedia_files/load(2).php
3.4 kB
Info/0804 Echo state network - Scholarpedia_files/load(3).php
428 Bytes
Info/0804 Echo state network - Scholarpedia_files/load(4).php
68.1 kB
Info/0804 Echo state network - Scholarpedia_files/load(5).php
12.7 kB
Info/0804 Echo state network - Scholarpedia_files/load(6).php
152.2 kB
Info/0804 Echo state network - Scholarpedia_files/load.php
10.3 kB
[磁力链接]
添加时间:
2017-08-14
大小:
964.3 MB
最近下载:
2025-02-26
热度:
219
O'Reilly - Advanced Machine Learning with scikit learn
01. Introduction/01_01-What To Expect And About The Author.mp4
13.1 MB
01. Introduction/01_02-Setup.mp4
6.1 MB
01. Introduction/01_03-The Classifier Interface.mp4
28.5 MB
01. Introduction/01_04-The Regressor Interface.mp4
11.3 MB
01. Introduction/01_05-The Transformer Interface.mp4
8.3 MB
01. Introduction/01_06-The Cluster Interface.mp4
23.4 MB
01. Introduction/01_07-The Manifold Interface.mp4
11.5 MB
01. Introduction/01_08-scikitLearn Interface Summary.mp4
11.9 MB
01. Introduction/01_09-CrossValidation With Cross_Val_Score.mp4
21.3 MB
01. Introduction/01_10-Parameter Searches With GridSearchCV.mp4
20.3 MB
01. Introduction/01_11-How To Access Your Working Files.mp4
27.7 MB
02. Model Complexity, Overfitting And Underfitting/02_01-What Is Model Complexity And Overfitting.mp4
7.6 MB
02. Model Complexity, Overfitting And Underfitting/02_02-Linear Models InDepth.mp4
35.2 MB
02. Model Complexity, Overfitting And Underfitting/02_03-Kernel SVMs InDepth.mp4
22.9 MB
02. Model Complexity, Overfitting And Underfitting/02_04-Random Forests InDepth.mp4
15.9 MB
02. Model Complexity, Overfitting And Underfitting/02_05-Learning Curves For Analyzing Model Complexity.mp4
13.3 MB
02. Model Complexity, Overfitting And Underfitting/02_06-Validation Curves For Analyzing Model Parameters.mp4
8.0 MB
02. Model Complexity, Overfitting And Underfitting/02_07-Efficient Parameter Search With EstimatorCV Objects.mp4
19.0 MB
03. Pipelines/03_01-Motivation Of Using Pipelines.mp4
10.2 MB
03. Pipelines/03_02-Defining A Pipeline And Basic Usage.mp4
20.0 MB
[磁力链接]
添加时间:
2017-08-14
大小:
803.0 MB
最近下载:
2025-02-28
热度:
363
Frank Kane - Data Science and Machine Learning with Python
01 Getting Started/001 Introduction.mp4
46.1 MB
01 Getting Started/002 Getting What You Need.mp4
26.4 MB
01 Getting Started/003 Activity Installing Enthought Canopy.mp4
35.0 MB
01 Getting Started/004 Python Basics, Part 1.mp4
46.1 MB
01 Getting Started/005 Activity Python Basics, Part 2.mp4
29.8 MB
01 Getting Started/006 Running Python Scripts.mp4
22.6 MB
02 Statistics and Probability Refresher, and Python Practise/001 Types of Data.mp4
35.8 MB
02 Statistics and Probability Refresher, and Python Practise/002 Mean, Median, Mode.mp4
29.5 MB
02 Statistics and Probability Refresher, and Python Practise/003 Activity Using mean, median, and mode in Python.mp4
40.9 MB
02 Statistics and Probability Refresher, and Python Practise/004 Activity Variation and Standard Deviation.mp4
47.8 MB
02 Statistics and Probability Refresher, and Python Practise/005 Probability Density Function Probability Mass Function.mp4
13.0 MB
02 Statistics and Probability Refresher, and Python Practise/006 Common Data Distributions.mp4
29.0 MB
02 Statistics and Probability Refresher, and Python Practise/007 Activity Percentiles and Moments.mp4
45.1 MB
02 Statistics and Probability Refresher, and Python Practise/008 Activity A Crash Course in matplotlib.mp4
51.7 MB
02 Statistics and Probability Refresher, and Python Practise/009 Activity Covariance and Correlation.mp4
52.2 MB
02 Statistics and Probability Refresher, and Python Practise/010 Exercise Conditional Probability.mp4
55.4 MB
02 Statistics and Probability Refresher, and Python Practise/011 Exercise Solution Conditional Probability of Purchase by Age.mp4
14.8 MB
02 Statistics and Probability Refresher, and Python Practise/012 Bayes Theorem.mp4
31.6 MB
03 Predictive Models/001 Activity Linear Regression.mp4
43.1 MB
03 Predictive Models/002 Activity Polynomial Regression.mp4
31.2 MB
[磁力链接]
添加时间:
2017-08-15
大小:
2.7 GB
最近下载:
2025-03-14
热度:
767
Trilha Infraestrutura - 02 - Análise de Dados - 02 - Curso Machine Learning II Avançando com tipos diferentes de classificação - Alura6.rar
Trilha Infraestrutura - 02 - Análise de Dados - 02 - Curso Machine Learning II Avançando com tipos diferentes de classificação - Alura6.rar
1.8 GB
[磁力链接]
添加时间:
2017-08-15
大小:
1.8 GB
最近下载:
2024-09-07
热度:
50
O'Reilly - Scalable Machine Learning
01. Part 1 Introduction/01_01-Introduction to Scalable Machine Learning.mp4
52.8 MB
01. Part 1 Introduction/01_02-Some Machine Learning Background.mp4
58.6 MB
01. Part 1 Introduction/01_03-Algorithms for Large Scale Learning.mp4
94.9 MB
02. Part 2 Hadoop And Friends/02_01-Overview of Hadoop and Current Big Data Systems.mp4
65.1 MB
03. Part 3 Programming for Data Flow Systems/03_01-How Programming for Data Flow Differs.mp4
76.2 MB
03. Part 3 Programming for Data Flow Systems/03_02-Basic Spark.mp4
90.3 MB
03. Part 3 Programming for Data Flow Systems/03_03-Working with Vectors and Matrices in Spark.mp4
163.6 MB
03. Part 3 Programming for Data Flow Systems/03_04-A Brief Tour of Spark ML.mp4
138.1 MB
04. Part 4 Beyond Paralleization/04_01-Approximation is the Key.mp4
72.5 MB
05. Part 5 Practical Big Data/05_01-Practical Big Data.mp4
32.5 MB
05. Part 5 Practical Big Data/05_02-Size vs. Complexity.mp4
24.0 MB
05. Part 5 Practical Big Data/05_03-Summary.mp4
13.5 MB
[磁力链接]
添加时间:
2017-08-16
大小:
882.1 MB
最近下载:
2022-02-16
热度:
107
Machine Learning CALTECH
Slides/iTunesU_Lecture01_April_03.pdf
300.7 kB
Slides/iTunesU_Lecture02_April_05.pdf
527.4 kB
Slides/iTunesU_Lecture03_April_10.pdf
1.1 MB
Slides/iTunesU_Lecture04_April_12.pdf
1.0 MB
Slides/iTunesU_Lecture05_April_17.pdf
509.1 kB
Slides/iTunesU_Lecture06_April_19.pdf
303.4 kB
Slides/iTunesU_Lecture07_April_24.pdf
418.4 kB
Slides/iTunesU_Lecture08_April_26.pdf
373.5 kB
Slides/iTunesU_Lecture09_May_01.pdf
745.9 kB
Slides/iTunesU_Lecture10_May_03.pdf
400.4 kB
Slides/iTunesU_Lecture11_May_08.pdf
761.5 kB
Slides/iTunesU_Lecture12_May_10.pdf
644.0 kB
Slides/iTunesU_Lecture13_May_15.pdf
757.0 kB
Slides/iTunesU_Lecture14_May_17.pdf
248.6 kB
Slides/iTunesU_Lecture15_May_22.pdf
489.7 kB
Slides/iTunesU_Lecture17_May_29.pdf
449.0 kB
Slides/iTunesU_Lecture18_May_31.pdf
249.3 kB
Lecture 01 - The Learning Problem (April 3, 2012).mp4
211.1 MB
Lecture 02 - Is Learning Feasible (April 5, 2012).mp4
194.3 MB
Lecture 03 -The Linear Model I (April 10, 2012).mp4
183.6 MB
[磁力链接]
添加时间:
2017-08-17
大小:
3.5 GB
最近下载:
2025-03-09
热度:
208
[FreeTutorials.Us] machine-learning-in-python-random-forest-adaboost
01 Get Started/001 Outline and Motivation.mp4
7.5 MB
01 Get Started/002 Where to get the Code and Data.mp4
3.5 MB
01 Get Started/003 All Data is the Same.mp4
5.5 MB
01 Get Started/004 Plug-and-Play.mp4
3.7 MB
02 Bias-Variance Trade-Off/005 Bias-Variance Key Terms.mp4
10.7 MB
02 Bias-Variance Trade-Off/006 Bias-Variance Trade-Off.mp4
5.1 MB
02 Bias-Variance Trade-Off/007 Bias-Variance Decomposition.mp4
5.6 MB
02 Bias-Variance Trade-Off/008 Polynomial Regression Demo.mp4
43.8 MB
02 Bias-Variance Trade-Off/009 K-Nearest Neighbor and Decision Tree Demo.mp4
14.5 MB
02 Bias-Variance Trade-Off/010 Cross-Validation as a Method for Optimizing Model Complexity.mp4
7.3 MB
03 Bootstrap Estimates and Bagging/011 Bootstrap Estimation.mp4
15.9 MB
03 Bootstrap Estimates and Bagging/012 Bootstrap Demo.mp4
11.5 MB
03 Bootstrap Estimates and Bagging/013 Bagging.mp4
4.1 MB
03 Bootstrap Estimates and Bagging/014 Bagging Regression Trees.mp4
16.6 MB
03 Bootstrap Estimates and Bagging/015 Bagging Classification Trees.mp4
21.3 MB
03 Bootstrap Estimates and Bagging/016 Stacking.mp4
6.4 MB
04 Random Forest/017 Random Forest Algorithm.mp4
15.1 MB
04 Random Forest/018 Random Forest Regressor.mp4
15.6 MB
04 Random Forest/019 Random Forest Classifier.mp4
13.2 MB
04 Random Forest/020 Random Forest vs Bagging Trees.mp4
8.2 MB
[磁力链接]
添加时间:
2017-08-18
大小:
419.2 MB
最近下载:
2024-12-27
热度:
674
Raschka S., Julian D., Hearty J. - Python Deeper Insights into Machine Learning - 2017
Raschka S., Julian D., Hearty J. - Python Deeper Insights into Machine Learning - 2017.azw3
23.9 MB
Raschka S., Julian D., Hearty J. - Python Deeper Insights into Machine Learning - 2017.epub
24.2 MB
Raschka S., Julian D., Hearty J. - Python Deeper Insights into Machine Learning - 2017.pdf
14.5 MB
[磁力链接]
添加时间:
2017-08-18
大小:
62.7 MB
最近下载:
2025-03-13
热度:
3156
[FreeTutorials.Us] cluster-analysis-unsupervised-machine-learning-python
01 Introduction to Unsupervised Learning/001 Introduction and Outline.mp4
4.3 MB
01 Introduction to Unsupervised Learning/002 What is unsupervised learning used for.mp4
7.9 MB
01 Introduction to Unsupervised Learning/003 Why Use Clustering.mp4
7.0 MB
01 Introduction to Unsupervised Learning/004 How to Succeed in this Course.mp4
9.2 MB
02 K-Means Clustering/005 Visual Walkthrough of the K-Means Clustering Algorithm.mp4
5.1 MB
02 K-Means Clustering/006 Soft K-Means.mp4
4.4 MB
02 K-Means Clustering/007 The K-Means Objective Function.mp4
3.2 MB
02 K-Means Clustering/008 Soft K-Means in Python Code.mp4
31.7 MB
02 K-Means Clustering/009 Visualizing Each Step of K-Means.mp4
5.5 MB
02 K-Means Clustering/010 Examples of where K-Means can fail.mp4
17.8 MB
02 K-Means Clustering/011 Disadvantages of K-Means Clustering.mp4
4.1 MB
02 K-Means Clustering/012 How to Evaluate a Clustering Purity Davies-Bouldin Index.mp4
11.9 MB
02 K-Means Clustering/013 Using K-Means on Real Data MNIST.mp4
11.2 MB
02 K-Means Clustering/014 One Way to Choose K.mp4
9.5 MB
02 K-Means Clustering/015 K-Means Application Finding Clusters of Related Words.mp4
27.2 MB
03 Hierarchical Clustering/016 Visual Walkthrough of Agglomerative Hierarchical Clustering.mp4
4.6 MB
03 Hierarchical Clustering/017 Agglomerative Clustering Options.mp4
6.5 MB
03 Hierarchical Clustering/018 Using Hierarchical Clustering in Python and Interpreting the Dendrogram.mp4
12.4 MB
04 Gaussian Mixture Models GMMs/019 Description of the Gaussian Mixture Model and How to Train a GMM.mp4
5.5 MB
04 Gaussian Mixture Models GMMs/020 Comparison between GMM and K-Means.mp4
3.1 MB
[磁力链接]
添加时间:
2017-08-18
大小:
325.9 MB
最近下载:
2025-02-10
热度:
963
[FreeTutorials.Us] unsupervised-machine-learning-hidden-markov-models-in-python
01 Introduction and Outline/001 Introduction and Outline Why would you want to use an HMM.mp4
7.1 MB
01 Introduction and Outline/002 Unsupervised or Supervised.mp4
5.5 MB
01 Introduction and Outline/003 Where to get the Code and Data.mp4
2.2 MB
01 Introduction and Outline/004 How to Succeed in this Course.mp4
9.2 MB
02 Markov Models/005 The Markov Property.mp4
8.7 MB
02 Markov Models/006 Markov Models.mp4
8.6 MB
02 Markov Models/007 The Math of Markov Chains.mp4
9.5 MB
03 Markov Models Example Problems and Applications/008 Example Problem Sick or Healthy.mp4
5.8 MB
03 Markov Models Example Problems and Applications/009 Example Problem Expected number of continuously sick days.mp4
4.9 MB
03 Markov Models Example Problems and Applications/010 Example application SEO and Bounce Rate Optimization.mp4
16.6 MB
03 Markov Models Example Problems and Applications/011 Example Application Build a 2nd-order language model and generate phrases.mp4
28.2 MB
03 Markov Models Example Problems and Applications/012 Example Application Googles PageRank algorithm.mp4
9.1 MB
04 Hidden Markov Models for Discrete Observations/013 From Markov Models to Hidden Markov Models.mp4
10.7 MB
04 Hidden Markov Models for Discrete Observations/014 HMMs are Doubly Embedded.mp4
3.3 MB
04 Hidden Markov Models for Discrete Observations/015 How can we choose the number of hidden states.mp4
7.7 MB
04 Hidden Markov Models for Discrete Observations/016 The Forward-Backward Algorithm.mp4
7.1 MB
04 Hidden Markov Models for Discrete Observations/017 Visual Intuition for the Forward Algorithm.mp4
6.3 MB
04 Hidden Markov Models for Discrete Observations/018 The Viterbi Algorithm.mp4
5.3 MB
04 Hidden Markov Models for Discrete Observations/019 Visual Intuition for the Viterbi Algorithm.mp4
6.0 MB
04 Hidden Markov Models for Discrete Observations/020 The Baum-Welch Algorithm.mp4
4.6 MB
[磁力链接]
添加时间:
2017-08-19
大小:
744.9 MB
最近下载:
2025-02-09
热度:
643
[FreeTutorials.Us] data-science-supervised-machine-learning-in-python
01 Introduction and Review/001 Introduction and Outline.mp4
8.0 MB
01 Introduction and Review/002 Review of Important Concepts.mp4
6.3 MB
01 Introduction and Review/003 Where to get the Code and Data.mp4
4.0 MB
01 Introduction and Review/004 How to Succeed in this Course.mp4
9.2 MB
02 K-Nearest Neighbor/005 K-Nearest Neighbor Concepts.mp4
9.0 MB
02 K-Nearest Neighbor/006 KNN in Code with MNIST.mp4
18.8 MB
02 K-Nearest Neighbor/007 When KNN Can Fail.mp4
8.1 MB
02 K-Nearest Neighbor/008 KNN for the XOR Problem.mp4
4.5 MB
02 K-Nearest Neighbor/009 KNN for the Donut Problem.mp4
5.7 MB
03 Naive Bayes and Bayes Classifiers/010 Naive Bayes.mp4
16.5 MB
03 Naive Bayes and Bayes Classifiers/011 Naive Bayes Handwritten Example.mp4
6.1 MB
03 Naive Bayes and Bayes Classifiers/012 Naive Bayes in Code with MNIST.mp4
15.1 MB
03 Naive Bayes and Bayes Classifiers/013 Non-Naive Bayes.mp4
7.7 MB
03 Naive Bayes and Bayes Classifiers/014 Bayes Classifier in Code with MNIST.mp4
4.7 MB
03 Naive Bayes and Bayes Classifiers/015 Linear Discriminant Analysis LDA and Quadratic Discriminant Analysis QDA.mp4
10.9 MB
03 Naive Bayes and Bayes Classifiers/016 Generative vs Discriminative Models.mp4
5.4 MB
04 Decision Trees/017 Decision Tree Basics.mp4
8.7 MB
04 Decision Trees/018 Information Entropy.mp4
7.3 MB
04 Decision Trees/019 Maximizing Information Gain.mp4
14.6 MB
04 Decision Trees/020 Choosing the Best Split.mp4
7.0 MB
[磁力链接]
添加时间:
2017-08-19
大小:
429.2 MB
最近下载:
2025-03-07
热度:
1095
[FreeTutorials.Us] bayesian-machine-learning-in-python-ab-testing
01 Introduction and Outline/001 Whats this course all about.mp4
3.9 MB
01 Introduction and Outline/002 Where to get the code for this course.mp4
2.1 MB
01 Introduction and Outline/003 How to succeed in this course.mp4
5.8 MB
02 Bayes Rule and Probability Review/004 Bayes Rule Review.mp4
15.4 MB
02 Bayes Rule and Probability Review/005 Simple Probability Problem.mp4
3.4 MB
02 Bayes Rule and Probability Review/006 The Monty Hall Problem.mp4
6.3 MB
02 Bayes Rule and Probability Review/007 Imbalanced Classes.mp4
7.5 MB
02 Bayes Rule and Probability Review/008 Maximum Likelihood - Mean of a Gaussian.mp4
8.0 MB
02 Bayes Rule and Probability Review/009 Maximum Likelihood - Click-Through Rate.mp4
7.1 MB
02 Bayes Rule and Probability Review/010 Confidence Intervals.mp4
16.6 MB
02 Bayes Rule and Probability Review/011 What is the Bayesian Paradigm.mp4
10.4 MB
03 Traditional AB Testing/012 AB Testing Problem Setup.mp4
7.3 MB
03 Traditional AB Testing/013 Simple AB Testing Recipe.mp4
8.2 MB
03 Traditional AB Testing/014 P-Values.mp4
6.5 MB
03 Traditional AB Testing/015 Test Characteristics Assumptions and Modifications.mp4
11.0 MB
03 Traditional AB Testing/016 t-test in Code.mp4
6.2 MB
03 Traditional AB Testing/017 0.01 vs 0.011 - Why should we care.mp4
2.9 MB
03 Traditional AB Testing/018 AB Test for Click-Through Rates Chi-Square Test.mp4
9.9 MB
03 Traditional AB Testing/019 CTR AB Test in Code.mp4
17.9 MB
03 Traditional AB Testing/020 ABCD... Testing - The Bonferroni Correction.mp4
3.8 MB
[磁力链接]
添加时间:
2017-08-19
大小:
376.8 MB
最近下载:
2025-03-13
热度:
924
[FreeTutorials.Us] scala-and-spark-for-big-data-and-machine-learning
01 Course Introduction/attached_files/002 Course FAQs/Scala-and-Spark-Bootcamp-master.zip
1.1 MB
01 Course Introduction/attached_files/002 Course FAQs/Spark-PDF-Slides.zip
1.6 MB
03 Windows Scala and Spark Set-up and Installation/attached_files/008 Windows Scala and Spark Installation/winutils.exe
108.0 kB
11 Regression with Spark/attached_files/051 Alternate Linear Regression Data CSV File/Clean-Ecommerce.csv
62.4 kB
11 Regression with Spark/attached_files/051 Alternate Linear Regression Data CSV File/Clean-USA-Housing.csv
479.7 kB
01 Course Introduction/001 Introduction.mp4
10.3 MB
01 Course Introduction/002 Course FAQs.html
593 Bytes
01 Course Introduction/003 Scala and Spark Overview.mp4
22.7 MB
02 Scala IDE Options and Overview/004 ScalaIDE Overview.mp4
6.5 MB
02 Scala IDE Options and Overview/005 Computer Set-up Time.html
797 Bytes
03 Windows Scala and Spark Set-up and Installation/006 Windows Introduction.mp4
1.5 MB
03 Windows Scala and Spark Set-up and Installation/007 Quick note about Windows Installation..html
773 Bytes
03 Windows Scala and Spark Set-up and Installation/008 Windows Scala and Spark Installation.mp4
40.6 MB
03 Windows Scala and Spark Set-up and Installation/009 Atom Windows Installation.mp4
35.1 MB
03 Windows Scala and Spark Set-up and Installation/010 Terminal Exericse.html
1.2 kB
04 Mac OS Setup and Installation/011 Mac OS Installation and Setup.mp4
34.6 MB
05 Linux Ubuntu Setup and Installation/012 Linux Ubuntu Setup and Installation.mp4
36.3 MB
06 Scala Programming Level One/013 Arithmetic and Numbers.mp4
14.3 MB
06 Scala Programming Level One/014 Values and Variables.mp4
14.9 MB
06 Scala Programming Level One/015 Booleans and Comparison Operators.mp4
4.4 MB
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[FreeTutorials.Us] from-0-1-machine-learning
02-jump-right-in-machine-learning-for-spam-detection/attached_files/004-machine-learning-why-should-you-jump-on-the-bandwagon/Ml-Intro-1.pdf
791.2 kB
02-jump-right-in-machine-learning-for-spam-detection/attached_files/005-plunging-in-machine-learning-approaches-to-spam-detection/Ml-Intro-2.pdf
775.2 kB
02-jump-right-in-machine-learning-for-spam-detection/attached_files/006-spam-detection-with-machine-learning-continued/ml-intro-3.pdf
892.7 kB
02-jump-right-in-machine-learning-for-spam-detection/attached_files/007-get-the-lay-of-the-land-types-of-machine-learning-problems/ml-problems.pdf
2.2 MB
03-solving-classification-problems/attached_files/009-random-variables/Random-Variable.pdf
973.0 kB
03-solving-classification-problems/attached_files/010-bayes-theorem/Bayes-Theorem.pdf
944.5 kB
03-solving-classification-problems/attached_files/011-naive-bayes-classifier/Nb-1.pdf
1.4 MB
03-solving-classification-problems/attached_files/012-naive-bayes-classifier-an-example/Nb-2.pdf
1.9 MB
03-solving-classification-problems/attached_files/013-knearest-neighbors/Knn-1.pdf
835.5 kB
03-solving-classification-problems/attached_files/014-knearest-neighbors-a-few-wrinkles/Knn-2.pdf
924.4 kB
03-solving-classification-problems/attached_files/015-support-vector-machines-introduced/Svm-1.pdf
856.8 kB
03-solving-classification-problems/attached_files/016-support-vector-machines-maximum-margin-hyperplane-and-kernel-trick/Svm-2.pdf
2.1 MB
03-solving-classification-problems/attached_files/017-artificial-neural-networksperceptrons-introduced/Ann-1.pdf
1.5 MB
03-solving-classification-problems/attached_files/017-artificial-neural-networksperceptrons-introduced/Ann-2.pdf
868.2 kB
04-clustering-as-a-form-of-unsupervised-learning/attached_files/018-clustering-introduction/Clustering-copy.pdf
3.1 MB
04-clustering-as-a-form-of-unsupervised-learning/attached_files/018-clustering-introduction/Ml-Clustering.pdf
973.9 kB
04-clustering-as-a-form-of-unsupervised-learning/attached_files/019-clustering-kmeans-and-dbscan/Clustering-copy.pdf
3.1 MB
05-association-detection/attached_files/020-association-rules-learning/Ml-Association-Rules.pdf
845.0 kB
06-dimensionality-reduction/attached_files/021-dimensionality-reduction/Dimensionality-Reduction.pdf
934.2 kB
06-dimensionality-reduction/attached_files/022-principal-component-analysis/Ml-Pca.pdf
902.1 kB
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2017-08-27
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Machine Learning Introdução ao sistemas de recomendações.rar
Machine Learning Introdução ao sistemas de recomendações.rar
890.1 MB
[磁力链接]
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2017-08-28
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890.1 MB
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Gollapudi S. - Practical Machine Learning - 2016
Gollapudi S. - Practical Machine Learning - 2016.epub
23.8 MB
Gollapudi S. - Practical Machine Learning - 2016.mobi
35.1 MB
Gollapudi S. - Practical Machine Learning - 2016.pdf
12.5 MB
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2017-09-10
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Machine Learning
01.1-V3-Introduction-Welcome.mp4
14.9 MB
01.2-V2-Introduction-WhatIsMachineLearning.mp4
31.9 MB
01.3-V2-Introduction-SupervisedLearning.mp4
16.2 MB
01.4-V2-Introduction-UnsupervisedLearning.mp4
40.4 MB
02.1-V2-LinearRegressionWithOneVariable-ModelRepresentation.mp4
12.2 MB
02.2-V2-LinearRegressionWithOneVariable-CostFunction.mp4
13.7 MB
02.3-V2-LinearRegressionWithOneVariable-CostFunctionIntuitionI.mp4
17.1 MB
02.4-V2-LinearRegressionWithOneVariable-CostFunctionIntuitionII.mp4
33.2 MB
02.5-V2-LinearRegressionWithOneVariable-GradientDescent.mp4
28.3 MB
02.6-V2-LinearRegressionWithOneVariable-GradientDescentIntuition.mp4
19.8 MB
02.7-V2-LinearRegressionWithOneVariable-GradientDescentForLinearRegression.mp4
26.7 MB
02.8-V2-What'sNext.mp4
7.7 MB
03.1-V2-LinearAlgebraReview(Optional)-MatricesAndVectors.mp4
12.5 MB
03.2-V2-LinearAlgebraReview(Optional)-AdditionAndScalarMultiplication.mp4
9.7 MB
03.3-V2-LinearAlgebraReview(Optional)-MatrixVectorMultiplication.mp4
21.2 MB
03.4-V2-LinearAlgebraReview(Optional)-MatrixMatrixMultiplication.mp4
23.4 MB
03.5-V2-LinearAlgebraReview(Optional)-MatrixMultiplicationProperties.mp4
12.3 MB
03.6-V2-LinearAlgebraReview(Optional)-InverseAndTranspose.mp4
25.8 MB
04.1-LinearRegressionWithMultipleVariables-MultipleFeatures.mp4
6.4 MB
04.2-LinearRegressionWithMultipleVariables-GradientDescentForMultipleVariables.mp4
5.0 MB
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2017-09-11
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