�ݺ�ߣshows by User: NimmiRashinika

�ݺ�ߣshows by User: NimmiRashinika / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: NimmiRashinika / Mon, 23 Jan 2023 23:09:46 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: NimmiRashinika Deep reinforcement learning for de novo drug design /NimmiRashinika/deep-reinforcement-learning-for-de-novo-drug-design deepreinforcementlearningfordenovodrugdesign-230123230947-7a522cf1
This is a presentation where I discuss the paper Deep reinforcement learning for de novo drug design published by Popova et al.]]>
This is a presentation where I discuss the paper Deep reinforcement learning for de novo drug design published by Popova et al.]]> Mon, 23 Jan 2023 23:09:46 GMT /NimmiRashinika/deep-reinforcement-learning-for-de-novo-drug-design NimmiRashinika@slideshare.net(NimmiRashinika) Deep reinforcement learning for de novo drug design NimmiRashinika This is a presentation where I discuss the paper Deep reinforcement learning for de novo drug design published by Popova et al. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/deepreinforcementlearningfordenovodrugdesign-230123230947-7a522cf1-thumbnail.jpg?width=120&height=120&fit=bounds" /> This is a presentation where I discuss the paper Deep reinforcement learning for de novo drug design published by Popova et al.

Deep reinforcement learning for de novo drug design from Nimmi Weeraddana

]]> 98 0 https://cdn.slidesharecdn.com/ss_thumbnails/deepreinforcementlearningfordenovodrugdesign-230123230947-7a522cf1-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Predicting Stock Prices using News data /slideshow/predicting-stock-prices-using-news-data/252315016 projectpresentation-220726032007-39aec5e2
Predicting Stock Prices using News data using SVM, LSTM, Neural Networks, and time series data analysis.]]>
Predicting Stock Prices using News data using SVM, LSTM, Neural Networks, and time series data analysis.]]> Tue, 26 Jul 2022 03:20:06 GMT /slideshow/predicting-stock-prices-using-news-data/252315016 NimmiRashinika@slideshare.net(NimmiRashinika) Predicting Stock Prices using News data NimmiRashinika Predicting Stock Prices using News data using SVM, LSTM, Neural Networks, and time series data analysis. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/projectpresentation-220726032007-39aec5e2-thumbnail.jpg?width=120&height=120&fit=bounds" /> Predicting Stock Prices using News data using SVM, LSTM, Neural Networks, and time series data analysis.

Predicting Stock Prices using News data from Nimmi Weeraddana

]]> 20 0 https://cdn.slidesharecdn.com/ss_thumbnails/projectpresentation-220726032007-39aec5e2-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Wilderness Touch Screen Display /slideshow/wilderness-touch-screen-display/252314925 finalpresentation-220726031254-33a2a417
Human-wildlife conflicts (HWCs) are interactions between humans and wild animals, often resulting in negative impacts on the animals or humans involved in the conflict. HWC incidents occur for a number of reasons: humans hunt wildlife for food and fur, kill animals for safety or self-defense, collide with them while driving, interfere with nature while sightseeing, and for many other reasons. Parks Canada reported 6,000+ HWC incidents in 2017 and 7,000+ incidents in 2018. The Canadian national parks with the most HWC incidents also happen to be the most visited. We believe that educating park visitors can lead to a reduction in the number of such incidents, saving both wildlife and human lives. We created an interactive visualization for Parks Canada information centers to educate visitors on their impacts on local wildlife. It is accessible at entry points of national parks via a large touch screen. Through this visualization, we hope that users learn more about their impact on wildlife and be more cautious during their visit.]]>
Human-wildlife conflicts (HWCs) are interactions between humans and wild animals, often resulting in negative impacts on the animals or humans involved in the conflict. HWC incidents occur for a number of reasons: humans hunt wildlife for food and fur, kill animals for safety or self-defense, collide with them while driving, interfere with nature while sightseeing, and for many other reasons. Parks Canada reported 6,000+ HWC incidents in 2017 and 7,000+ incidents in 2018. The Canadian national parks with the most HWC incidents also happen to be the most visited. We believe that educating park visitors can lead to a reduction in the number of such incidents, saving both wildlife and human lives. We created an interactive visualization for Parks Canada information centers to educate visitors on their impacts on local wildlife. It is accessible at entry points of national parks via a large touch screen. Through this visualization, we hope that users learn more about their impact on wildlife and be more cautious during their visit.]]> Tue, 26 Jul 2022 03:12:54 GMT /slideshow/wilderness-touch-screen-display/252314925 NimmiRashinika@slideshare.net(NimmiRashinika) Wilderness Touch Screen Display NimmiRashinika Human-wildlife conflicts (HWCs) are interactions between humans and wild animals, often resulting in negative impacts on the animals or humans involved in the conflict. HWC incidents occur for a number of reasons: humans hunt wildlife for food and fur, kill animals for safety or self-defense, collide with them while driving, interfere with nature while sightseeing, and for many other reasons. Parks Canada reported 6,000+ HWC incidents in 2017 and 7,000+ incidents in 2018. The Canadian national parks with the most HWC incidents also happen to be the most visited. We believe that educating park visitors can lead to a reduction in the number of such incidents, saving both wildlife and human lives. We created an interactive visualization for Parks Canada information centers to educate visitors on their impacts on local wildlife. It is accessible at entry points of national parks via a large touch screen. Through this visualization, we hope that users learn more about their impact on wildlife and be more cautious during their visit. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/finalpresentation-220726031254-33a2a417-thumbnail.jpg?width=120&height=120&fit=bounds" /> Human-wildlife conflicts (HWCs) are interactions between humans and wild animals, often resulting in negative impacts on the animals or humans involved in the conflict. HWC incidents occur for a number of reasons: humans hunt wildlife for food and fur, kill animals for safety or self-defense, collide with them while driving, interfere with nature while sightseeing, and for many other reasons. Parks Canada reported 6,000+ HWC incidents in 2017 and 7,000+ incidents in 2018. The Canadian national parks with the most HWC incidents also happen to be the most visited. We believe that educating park visitors can lead to a reduction in the number of such incidents, saving both wildlife and human lives. We created an interactive visualization for Parks Canada information centers to educate visitors on their impacts on local wildlife. It is accessible at entry points of national parks via a large touch screen. Through this visualization, we hope that users learn more about their impact on wildlife and be more cautious during their visit.

Wilderness Touch Screen Display from Nimmi Weeraddana

]]> 13 0 https://cdn.slidesharecdn.com/ss_thumbnails/finalpresentation-220726031254-33a2a417-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Application of tree based structures in machine learning to a real word scenario /slideshow/application-of-tree-based-structures-in-machine-learning-to-a-real-word-scenario/229865906 applicationoftreebasedstructuresinmachinelearningtoareal-wordscenario-200307221707
Decision Tree models are Tree Based Structures for predictive modeling Machine Learning. The classical decision tree algorithms have been around for decades and modern variations like random forest are among the most powerful techniques available. Another variation of decision tree algorithm is known by its more modern name CART which stands for Classification and Regression Trees.]]>
Decision Tree models are Tree Based Structures for predictive modeling Machine Learning. The classical decision tree algorithms have been around for decades and modern variations like random forest are among the most powerful techniques available. Another variation of decision tree algorithm is known by its more modern name CART which stands for Classification and Regression Trees.]]> Sat, 07 Mar 2020 22:17:07 GMT /slideshow/application-of-tree-based-structures-in-machine-learning-to-a-real-word-scenario/229865906 NimmiRashinika@slideshare.net(NimmiRashinika) Application of tree based structures in machine learning to a real word scenario NimmiRashinika Decision Tree models are Tree Based Structures for predictive modeling Machine Learning. The classical decision tree algorithms have been around for decades and modern variations like random forest are among the most powerful techniques available. Another variation of decision tree algorithm is known by its more modern name CART which stands for Classification and Regression Trees. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/applicationoftreebasedstructuresinmachinelearningtoareal-wordscenario-200307221707-thumbnail.jpg?width=120&height=120&fit=bounds" /> Decision Tree models are Tree Based Structures for predictive modeling Machine Learning. The classical decision tree algorithms have been around for decades and modern variations like random forest are among the most powerful techniques available. Another variation of decision tree algorithm is known by its more modern name CART which stands for Classification and Regression Trees.

Application of tree based structures in machine learning to a real word scenario from Nimmi Weeraddana

]]> 51 0 https://cdn.slidesharecdn.com/ss_thumbnails/applicationoftreebasedstructuresinmachinelearningtoareal-wordscenario-200307221707-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Essentials of law short note (version 3) /slideshow/essentials-of-law-short-note-version-3/64469398 essentialsoflawshortnoteversion3-160728103238
This note is still developing. ]]>
This note is still developing. ]]> Thu, 28 Jul 2016 10:32:38 GMT /slideshow/essentials-of-law-short-note-version-3/64469398 NimmiRashinika@slideshare.net(NimmiRashinika) Essentials of law short note (version 3) NimmiRashinika This note is still developing. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/essentialsoflawshortnoteversion3-160728103238-thumbnail.jpg?width=120&height=120&fit=bounds" /> This note is still developing.

Essentials of law short note (version 3) from Nimmi Weeraddana

]]> 5996 8 https://cdn.slidesharecdn.com/ss_thumbnails/essentialsoflawshortnoteversion3-160728103238-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Computer architecture short note (version 8) /slideshow/computer-architecture-short-note-version-8/64469252 computerarchitectureshortnoteversion8-160728102750
Computer Architecture note from Nimmi Rashinika]]>
Computer Architecture note from Nimmi Rashinika]]> Thu, 28 Jul 2016 10:27:50 GMT /slideshow/computer-architecture-short-note-version-8/64469252 NimmiRashinika@slideshare.net(NimmiRashinika) Computer architecture short note (version 8) NimmiRashinika Computer Architecture note from Nimmi Rashinika <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/computerarchitectureshortnoteversion8-160728102750-thumbnail.jpg?width=120&height=120&fit=bounds" /> Computer Architecture note from Nimmi Rashinika

Computer architecture short note (version 8) from Nimmi Weeraddana

]]> 2139 5 https://cdn.slidesharecdn.com/ss_thumbnails/computerarchitectureshortnoteversion8-160728102750-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Computer networks short note (version 8) /slideshow/computer-networks-short-note-version-8/64468717 computernetworksshortnoteversion8-160728101138
Computer networks short note by Nimmi rashinika Weeraddana]]>
Computer networks short note by Nimmi rashinika Weeraddana]]> Thu, 28 Jul 2016 10:11:38 GMT /slideshow/computer-networks-short-note-version-8/64468717 NimmiRashinika@slideshare.net(NimmiRashinika) Computer networks short note (version 8) NimmiRashinika Computer networks short note by Nimmi rashinika Weeraddana <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/computernetworksshortnoteversion8-160728101138-thumbnail.jpg?width=120&height=120&fit=bounds" /> Computer networks short note by Nimmi rashinika Weeraddana

Computer networks short note (version 8) from Nimmi Weeraddana

]]> 2617 6 https://cdn.slidesharecdn.com/ss_thumbnails/computernetworksshortnoteversion8-160728101138-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Data structures and algorithms short note (version 14).pd /NimmiRashinika/data-structures-and-algorithms-short-note-version-14pd datastructuresandalgorithmsshortnoteversion14-160728095751
Data Structures and Algorithms for a beginner]]>
Data Structures and Algorithms for a beginner]]> Thu, 28 Jul 2016 09:57:51 GMT /NimmiRashinika/data-structures-and-algorithms-short-note-version-14pd NimmiRashinika@slideshare.net(NimmiRashinika) Data structures and algorithms short note (version 14).pd NimmiRashinika Data Structures and Algorithms for a beginner <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/datastructuresandalgorithmsshortnoteversion14-160728095751-thumbnail.jpg?width=120&height=120&fit=bounds" /> Data Structures and Algorithms for a beginner

Data structures and algorithms short note (version 14).pd from Nimmi Weeraddana

]]> 2042 5 https://cdn.slidesharecdn.com/ss_thumbnails/datastructuresandalgorithmsshortnoteversion14-160728095751-thumbnail.jpg?width=120&height=120&fit=bounds document 000000 http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 https://public.slidesharecdn.com/v2/images/profile-picture.png https://cdn.slidesharecdn.com/ss_thumbnails/deepreinforcementlearningfordenovodrugdesign-230123230947-7a522cf1-thumbnail.jpg?width=320&height=320&fit=bounds NimmiRashinika/deep-reinforcement-learning-for-de-novo-drug-design Deep reinforcement lea... https://cdn.slidesharecdn.com/ss_thumbnails/projectpresentation-220726032007-39aec5e2-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/predicting-stock-prices-using-news-data/252315016 Predicting Stock Price... https://cdn.slidesharecdn.com/ss_thumbnails/finalpresentation-220726031254-33a2a417-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/wilderness-touch-screen-display/252314925 Wilderness Touch Scree...