From afc42f197d7a82cbd8305dba462c4a2fe9bf14f5 Mon Sep 17 00:00:00 2001 From: Sadegh Raeisi Date: Sun, 3 Feb 2019 13:46:07 +0330 Subject: [PATCH 1/4] Update README.md --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index a198290..43b4524 100644 --- a/README.md +++ b/README.md @@ -74,10 +74,11 @@ Table of contents The course material is posted here and you can use either [Google Colab](http://colab.research.google.com/) or [Mybinder](http://mybinder.org/) to work with these Jupyter notebooks. +[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/sraeisi/MachineLearning_Physics/master) | Topic | Contents of the Lectures | Notebook(s) | |---------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------| -| Basics of machine learning | Introduction and notation
Regression, logistic regression and classification
overview and practical tips
Why? ML beyond simple examples
Overview of some of the most common techniques | | +| Basics of machine learning | Introduction and notation
Regression, logistic regression and classification
overview and practical tips
Why? ML beyond simple examples
Overview of some of the most common techniques | [ Lecture 1][![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/sraeisi/MachineLearning_Physics/master?filepath=Lec_1%2FMLP_lec_1_Introductory_notes_A.ipynb) | | Data Preparation | Collection and generation
Standardization
Clean-up: nan and outliers
Data reduction: PCA, variance threshold … | | | Concepts from Statistical learning | Variance and bias
Learning curves
Model selection and validation curve
Practical methods for dealing with overfitting
Bayesian inference | | | A few tools before we get down to it… | Cost functions
Optimization algorithms | | From 1e1b5a24cb52cbb9dac4f04d0aa7036f22cd0176 Mon Sep 17 00:00:00 2001 From: Sadegh Raeisi Date: Sun, 3 Feb 2019 13:58:04 +0330 Subject: [PATCH 2/4] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 43b4524..0865609 100644 --- a/README.md +++ b/README.md @@ -78,7 +78,7 @@ work with these Jupyter notebooks. | Topic | Contents of the Lectures | Notebook(s) | |---------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------| -| Basics of machine learning | Introduction and notation
Regression, logistic regression and classification
overview and practical tips
Why? ML beyond simple examples
Overview of some of the most common techniques | [ Lecture 1][![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/sraeisi/MachineLearning_Physics/master?filepath=Lec_1%2FMLP_lec_1_Introductory_notes_A.ipynb) | +| Basics of machine learning | Introduction and notation
Regression, logistic regression and classification
overview and practical tips
Why? ML beyond simple examples
Overview of some of the most common techniques | Lecture 1 [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/sraeisi/MachineLearning_Physics/master?filepath=Lec_1%2FMLP_lec_1_Introductory_notes_A.ipynb) [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/sraeisi/MachineLearning_Physics/blob/master/Lec_1/MLP_lec_1_Introductory_notes_A.ipynb) | | Data Preparation | Collection and generation
Standardization
Clean-up: nan and outliers
Data reduction: PCA, variance threshold … | | | Concepts from Statistical learning | Variance and bias
Learning curves
Model selection and validation curve
Practical methods for dealing with overfitting
Bayesian inference | | | A few tools before we get down to it… | Cost functions
Optimization algorithms | | From dac01ff93839e0311a4212add70f18a5f7983340 Mon Sep 17 00:00:00 2001 From: Sadegh Raeisi Date: Sun, 3 Feb 2019 13:59:10 +0330 Subject: [PATCH 3/4] Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 0865609..01da989 100644 --- a/README.md +++ b/README.md @@ -75,10 +75,10 @@ The course material is posted here and you can use either [Google Colab](http://colab.research.google.com/) or [Mybinder](http://mybinder.org/) to work with these Jupyter notebooks. [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/sraeisi/MachineLearning_Physics/master) - +[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/sraeisi/MachineLearning_Physics/) | Topic | Contents of the Lectures | Notebook(s) | |---------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------| -| Basics of machine learning | Introduction and notation
Regression, logistic regression and classification
overview and practical tips
Why? ML beyond simple examples
Overview of some of the most common techniques | Lecture 1 [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/sraeisi/MachineLearning_Physics/master?filepath=Lec_1%2FMLP_lec_1_Introductory_notes_A.ipynb) [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/sraeisi/MachineLearning_Physics/blob/master/Lec_1/MLP_lec_1_Introductory_notes_A.ipynb) | +| Basics of machine learning | Introduction and notation
Regression, logistic regression and classification
overview and practical tips
Why? ML beyond simple examples
Overview of some of the most common techniques | Lecture 1
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/sraeisi/MachineLearning_Physics/master?filepath=Lec_1%2FMLP_lec_1_Introductory_notes_A.ipynb)
[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/sraeisi/MachineLearning_Physics/blob/master/Lec_1/MLP_lec_1_Introductory_notes_A.ipynb) | | Data Preparation | Collection and generation
Standardization
Clean-up: nan and outliers
Data reduction: PCA, variance threshold … | | | Concepts from Statistical learning | Variance and bias
Learning curves
Model selection and validation curve
Practical methods for dealing with overfitting
Bayesian inference | | | A few tools before we get down to it… | Cost functions
Optimization algorithms | | From a3a1e69844bc61537db7ea4d1e063ade5ecdb36b Mon Sep 17 00:00:00 2001 From: Sadegh Raeisi Date: Sun, 3 Feb 2019 14:03:18 +0330 Subject: [PATCH 4/4] Update README.md --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index 01da989..7b37c76 100644 --- a/README.md +++ b/README.md @@ -75,7 +75,9 @@ The course material is posted here and you can use either [Google Colab](http://colab.research.google.com/) or [Mybinder](http://mybinder.org/) to work with these Jupyter notebooks. [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/sraeisi/MachineLearning_Physics/master) + [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/sraeisi/MachineLearning_Physics/) + | Topic | Contents of the Lectures | Notebook(s) | |---------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------| | Basics of machine learning | Introduction and notation
Regression, logistic regression and classification
overview and practical tips
Why? ML beyond simple examples
Overview of some of the most common techniques | Lecture 1
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/sraeisi/MachineLearning_Physics/master?filepath=Lec_1%2FMLP_lec_1_Introductory_notes_A.ipynb)
[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/sraeisi/MachineLearning_Physics/blob/master/Lec_1/MLP_lec_1_Introductory_notes_A.ipynb) |