title: Introducing machine learning concepts with WEKA.

authors: Smith, Tony C.

subjects: Bioinformatics

abstract: This chapter presents an introduction to data mining with machine learning. It gives an overview of various types of machine learning, along with some examples. It explains how to download, install, and run the WEKA data mining toolkit on a simple data set, then proceeds to explain how one might approach a bioinformatics problem. Finally, it includes a brief summary of machine learning algorithms for other types of data mining problems, and provides suggestions about where to find additional information.

text: Introducing machine learning concepts with WEKA. This chapter presents an introduction to data mining with machine learning. It gives an overview of various types of machine learning, along with some examples. It explains how to download, install, and run the WEKA data mining toolkit on a simple data set, then proceeds to explain how one might approach a bioinformatics problem. Finally, it includes a brief summary of machine learning algorithms for other types of data mining problems, and provides suggestions about where to find additional information.

year: 2016

title: Editors’ introduction

authors: Rumbles, Wayne

subjects: law

abstract: I am pleased to present the second issue of the Waikato Law Review for 2011. This special issue draws together a number of articles which were developed from papers presented at the Justice in the Round: Perspectives from Custom and Culture, Rights and Dispute Resolution Conference held at Te Piringa – Faculty of Law in April 2011.

text: Editors’ introduction I am pleased to present the second issue of the Waikato Law Review for 2011. This special issue draws together a number of articles which were developed from papers presented at the Justice in the Round: Perspectives from Custom and Culture, Rights and Dispute Resolution Conference held at Te Piringa – Faculty of Law in April 2011.

year: 2011

title: Te tuhirau kōrero

authors: Corbett, Mahaki

subjects: Reo Māori

abstract: Ko tō tātou reo, he reo tapu, he reo kōrero, he reo pohewa, he reo reiuru, he reo rauriki.  E rā, he piringa tē taea te whakangaro atu, nā te mea ko te reo Māori te manawatanga mai i a koe e tūhono ai koe ki ngā mea o mua, ki ngā mea o muri, ki ngā mea o nāianei (J. Peri, kōrero ā-waha, Hune 3, 2013). Heoi anō, i ngā rā nei, kua whānau hou mai te reo Māori pā tuhi-ā-waea ki te ao mārama me te aha kua whakarerekē a ia i te āhuatanga o tō tātou reo. Ko te kaupapa o tēnei tuhinga, he whakatakoto kupu mai i te ngākau aroha me te wete hoki i te taumata whakaaro e whakahākiri nei ki tēnei mangainga o te ao hangarau. Waihoki, kua nahanaha i ahau ngā wāhanga, ā, e whitu ēnei kua tuhia ki te kupu waiwaiā, kia whakapāho-ā-rorohiko atu rānei i te whia maruāpō mō te ātaahuatanga o te pā tuhi-ā-waea. Nō reira rā, koiā te taonga whakapiripiri e koroa nei e te ringa, purutia kia tata, whakamaua kia tina!

text: Te tuhirau kōrero Ko tō tātou reo, he reo tapu, he reo kōrero, he reo pohewa, he reo reiuru, he reo rauriki.  E rā, he piringa tē taea te whakangaro atu, nā te mea ko te reo Māori te manawatanga mai i a koe e tūhono ai koe ki ngā mea o mua, ki ngā mea o muri, ki ngā mea o nāianei (J. Peri, kōrero ā-waha, Hune 3, 2013). Heoi anō, i ngā rā nei, kua whānau hou mai te reo Māori pā tuhi-ā-waea ki te ao mārama me te aha kua whakarerekē a ia i te āhuatanga o tō tātou reo. Ko te kaupapa o tēnei tuhinga, he whakatakoto kupu mai i te ngākau aroha me te wete hoki i te taumata whakaaro e whakahākiri nei ki tēnei mangainga o te ao hangarau. Waihoki, kua nahanaha i ahau ngā wāhanga, ā, e whitu ēnei kua tuhia ki te kupu waiwaiā, kia whakapāho-ā-rorohiko atu rānei i te whia maruāpō mō te ātaahuatanga o te pā tuhi-ā-waea. Nō reira rā, koiā te taonga whakapiripiri e koroa nei e te ringa, purutia kia tata, whakamaua kia tina!

year: 2017