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| Data Preparation: Feature Extraction, Outlier Detection, Feature Normalization | Exploratory Data Analysis (EDA): Line Graph, Scatter Plot, Heat Map, Summary Statistics, Box-and-whisker Plot | Feature Selection: Dimensionality reduction | Machine Learnin

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| Data Preparation: Feature Extraction, Outlier Detection, Feature Normalization | Exploratory Data Analysis (EDA): Line Graph, Scatter Plot, Heat Map, Summary Statistics, Box-and-whisker Plot | Feature Selection: Dimensionality reduction | Machine Learnin | mlalgorithm.wordpress.com Reviews

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| Data Preparation: Feature Extraction, Outlier Detection, Feature Normalization | Exploratory Data Analysis (EDA): Line Graph, Scatter Plot, Heat Map, Summary Statistics, Box-and-whisker Plot | Feature Selection: Dimensionality reduction | Machine Learnin | mlalgorithm.wordpress.com Reviews

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Deep learning part 2 – Recurrent neural networks (RNN) |

https://mlalgorithm.wordpress.com/2016/08/04/deep-learning-part-2-recurrent-neural-networks-rnn

Data Preparation: Feature Extraction, Outlier Detection, Feature Normalization Exploratory Data Analysis (EDA): Line Graph, Scatter Plot, Heat Map, Summary Statistics, Box-and-whisker Plot Feature Selection: Dimensionality reduction Machine Learning Alogorithms: Classification, Regression and Clustering Python: Numpy, Scipy, Sklearn, Matplotlib R MySQL MongoDB MapReduce Speech Processing C# ASP DOTNET. Deep learning part 2 – Recurrent neural networks (RNN). August 4, 2016. Are input, and h. The hidden st...

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Deep learning basics – part 1 |

https://mlalgorithm.wordpress.com/2016/06/21/deep-learning-basics-part-1

Data Preparation: Feature Extraction, Outlier Detection, Feature Normalization Exploratory Data Analysis (EDA): Line Graph, Scatter Plot, Heat Map, Summary Statistics, Box-and-whisker Plot Feature Selection: Dimensionality reduction Machine Learning Alogorithms: Classification, Regression and Clustering Python: Numpy, Scipy, Sklearn, Matplotlib R MySQL MongoDB MapReduce Speech Processing C# ASP DOTNET. Deep learning basics – part 1. Deep learning basics – part 1. June 21, 2016. June 22, 2016. A node usua...

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Ahilan MK |

https://mlalgorithm.wordpress.com/author/ahilank

Data Preparation: Feature Extraction, Outlier Detection, Feature Normalization Exploratory Data Analysis (EDA): Line Graph, Scatter Plot, Heat Map, Summary Statistics, Box-and-whisker Plot Feature Selection: Dimensionality reduction Machine Learning Alogorithms: Classification, Regression and Clustering Python: Numpy, Scipy, Sklearn, Matplotlib R MySQL MongoDB MapReduce Speech Processing C# ASP DOTNET. Articles posted by Ahilan MK. Learning Data Science – part 1. March 6, 2017. March 6, 2017. The vector ...

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Ahilan's blog - Ahilan

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My machine learning blog.

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Publications - Ahilan

http://www.ahilan83.com/publications

My machine learning blog. Speaker Verification using I-vector Features, 2014. [ pdf. 1) A Kanagasundaram,. D Dean, S. Sridharan Improving Out-domain PLDA Speaker Verification using Inter-dataset Variability Compensation Approach, Computer Speech and Language, (To be submitted). 2) A Kanagasundaram,. 3) A Kanagasundaram,. 1) A Kanagasundaram,. I Himawan, D. Dean, A. Kanagasundaram,. 3) D Dean, A. Kanagasundaram,. HGhaemmaghami, Md Rahman and S. Sridharan, The QUT-NOISE SRE Protocol for the Evaluation ...

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Photo Gallery - Ahilan

http://www.ahilan83.com/photo-gallery

My machine learning blog. ICASSP 2014 conference visit, Florence, Italy. Interspeech 2013 conference, Lyon, France. Rome visit, Italy, 2014. Switzerland visit, 2013. France visit, 2013. Internship 2012-2013, Madrid, Spain. BBfor2 workshop, Netherlands. London visit, 2012. Odyssey 2012 conference visit, Singapore. Cairns trip, Queensland, Australia, 2015. Bribie island, Queensland, Australia, 2014. University life, Peradeniya. Undergraduate convocation 2008, Kandy. Dialog broadband site visit, Handana.

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Ahilan

http://www.ahilan83.com/home

My machine learning blog. Ahilan (PhD, BSc.Eng). Machine Learning Researcher and Developer. This is the personal page of Ahilan. I'm a highly experienced machine learning and software development professional with more than 3 years of experience in designing and implementation of machine learning algorithms. I can be contacted by ahilan.eng (at) gmail (dot) com. Python, R, C , C#, ASP.DOT. Applying machine learning to solve business problems and help organizations make data-driven decisions. One of my pa...

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mlalgorithm.wordpress.com

| Data Preparation: Feature Extraction, Outlier Detection, Feature Normalization | Exploratory Data Analysis (EDA): Line Graph, Scatter Plot, Heat Map, Summary Statistics, Box-and-whisker Plot | Feature Selection: Dimensionality reduction | Machine Learnin

Data Preparation: Feature Extraction, Outlier Detection, Feature Normalization Exploratory Data Analysis (EDA): Line Graph, Scatter Plot, Heat Map, Summary Statistics, Box-and-whisker Plot Feature Selection: Dimensionality reduction Machine Learning Alogorithms: Classification, Regression and Clustering Python: Numpy, Scipy, Sklearn, Matplotlib R MySQL MongoDB MapReduce Speech Processing C# ASP DOTNET. Deep learning part 2 – Recurrent neural networks (RNN). August 4, 2016. Are input, and h. Where W is th...

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