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format-standard has-post-thumbnail hentry category-machine-learning category-modeling tag-machine-learning tag-ml-models"> <div class="image"> <a href="https://opendatascience.com/using-the-what-if-tool-to-investigate-machine-learning-models/"><img src="https://opendatascience.com/wp-content/uploads/2020/02/1_NBwHkeXoOu4fwA4dFdpyKw-180x180.jpeg" alt="Using the ‘What-If Tool’ to Investigate Machine Learning Models"/></a> </div> <div class="title"> <h2> <a href="https://opendatascience.com/using-the-what-if-tool-to-investigate-machine-learning-models/">Using the ‘What-If Tool’ to Investigate Machine Learning Models</a> </h2> <p> <a href="https://opendatascience.com/category/modeling/machine-learning/" title="Machine Learning" class="tag-default">Machine Learning</a><a href="https://opendatascience.com/category/modeling/" title="Modeling" class="tag-default">Modeling</a><a href="https://opendatascience.com/tag/machine-learning/" title="Modeling" class="tag-default">Machine Learning</a><a href="https://opendatascience.com/tag/ml-models/" title="Modeling" class="tag-default">ml models</a>posted by <a href="https://opendatascience.com/user/parul-pandey/" title="Modeling" class="tag-defaultic">Parul Pandey</a> <span class="legend-default"> <i class="fa fa-clock-o"></i><span class="updated" >June 26, 2020</span> </span> </p> </div> <div class="intro"> In this era of explainable and interpretable Machine Learning, one merely cannot be content with simply training the model and obtaining predictions from it. To be able to really make an impact and obtain good results, we should also be able to probe and investigate our... <a href="https://opendatascience.com/using-the-what-if-tool-to-investigate-machine-learning-models/" class="more-link">Read more</a> </div> </div> <div class="post-item post-31567 post type-post status-publish format-standard has-post-thumbnail hentry category-data-visualization category-machine-learning category-modeling tag-data-visualization tag-machine-learning"> <div class="image"> <a href="https://opendatascience.com/visualizing-machine-learning-datasets-with-googles-facets/"><img src="https://opendatascience.com/wp-content/uploads/2020/02/0_AAAs7V238jAuaZp_-180x180.jpeg" alt="Visualizing Machine Learning Datasets with Google’s FACETS"/></a> </div> <div class="title"> <h2> <a href="https://opendatascience.com/visualizing-machine-learning-datasets-with-googles-facets/">Visualizing Machine Learning Datasets with Google’s FACETS</a> </h2> <p> <a href="https://opendatascience.com/category/modeling/data-visualization/" title="Data Visualization" class="tag-default">Data Visualization</a><a href="https://opendatascience.com/category/modeling/machine-learning/" title="Machine Learning" class="tag-default">Machine Learning</a><a href="https://opendatascience.com/category/modeling/" title="Modeling" class="tag-default">Modeling</a><a href="https://opendatascience.com/tag/data-visualization/" title="Modeling" class="tag-default">Data Visualization</a><a href="https://opendatascience.com/tag/machine-learning/" title="Modeling" class="tag-default">Machine Learning</a>posted by <a href="https://opendatascience.com/user/parul-pandey/" title="Modeling" class="tag-defaultic">Parul Pandey</a> <span class="legend-default"> <i class="fa fa-clock-o"></i><span class="updated" >February 2, 2020</span> </span> </p> </div> <div class="intro"> There has been a lot of uproar as to how a large quantity of training data can have a tremendous impact on the results of a machine learning model. However, along with data quantity, it is also the quality that is critical to building a powerful... <a href="https://opendatascience.com/visualizing-machine-learning-datasets-with-googles-facets/" class="more-link">Read more</a> </div> </div> <div class="post-item post-31395 post type-post status-publish format-standard has-post-thumbnail hentry category-machine-learning category-modeling tag-machine-learning tag-topological-data-analysis"> <div class="image"> <a href="https://opendatascience.com/a-concrete-application-of-topological-data-analysis/"><img src="https://opendatascience.com/wp-content/uploads/2020/01/1_fkY641tzF9Drd8g9w3HDIA-180x180.jpg" alt="A Concrete Application of Topological Data Analysis"/></a> </div> <div class="title"> <h2> <a href="https://opendatascience.com/a-concrete-application-of-topological-data-analysis/">A Concrete Application of Topological Data Analysis</a> </h2> <p> <a href="https://opendatascience.com/category/modeling/machine-learning/" title="Machine Learning" class="tag-default">Machine Learning</a><a href="https://opendatascience.com/category/modeling/" title="Modeling" class="tag-default">Modeling</a><a href="https://opendatascience.com/tag/machine-learning/" title="Modeling" class="tag-default">Machine Learning</a><a href="https://opendatascience.com/tag/topological-data-analysis/" title="Modeling" class="tag-default">Topological Data Analysis</a>posted by <a href="https://opendatascience.com/user/mathieucarriere/" title="Modeling" class="tag-defaultic">Mathieu Carrière</a> <span class="legend-default"> <i class="fa fa-clock-o"></i><span class="updated" >January 30, 2020</span> </span> </p> </div> <div class="intro"> Today, I will present a Machine Learning application of Topological Data Analysis (TDA), a rapidly evolving field of data science that makes use of topology to improve data analysis. It is largely inspired by one of my projects. Great! Wait… what is TDA? I will start by briefly... <a href="https://opendatascience.com/a-concrete-application-of-topological-data-analysis/" class="more-link">Read more</a> </div> </div> <div class="post-item post-29138 post type-post status-publish format-standard has-post-thumbnail hentry category-machine-learning category-modeling tag-geospatial tag-iot tag-machine-learning tag-rapids"> <div class="image"> <a href="https://opendatascience.com/cuspatial-accelerates-geospatial-and-spatiotemporal-processing/"><img src="https://opendatascience.com/wp-content/uploads/2019/09/1_Jk_78Jtha86ZsiEcsIk3Rw-180x180.png" alt="cuSpatial Accelerates Geospatial and Spatiotemporal Processing"/></a> </div> <div class="title"> <h2> <a href="https://opendatascience.com/cuspatial-accelerates-geospatial-and-spatiotemporal-processing/">cuSpatial Accelerates Geospatial and Spatiotemporal Processing</a> </h2> <p> <a href="https://opendatascience.com/category/modeling/machine-learning/" title="Machine Learning" class="tag-default">Machine Learning</a><a href="https://opendatascience.com/category/modeling/" title="Modeling" class="tag-default">Modeling</a><a href="https://opendatascience.com/tag/geospatial/" title="Modeling" class="tag-default">geospatial</a><a href="https://opendatascience.com/tag/iot/" title="Modeling" class="tag-default">IoT</a><a href="https://opendatascience.com/tag/machine-learning/" title="Modeling" class="tag-default">Machine Learning</a><a href="https://opendatascience.com/tag/rapids/" title="Modeling" class="tag-default">rapids</a>posted by <a href="https://opendatascience.com/user/rapids/" title="Modeling" class="tag-defaultic">RAPIDS</a> <span class="legend-default"> <i class="fa fa-clock-o"></i><span class="updated" >October 1, 2019</span> </span> </p> </div> <div class="intro"> The Internet of Things (IOT) has spawned explosive growth in sensor data. Location is some of the most important information generated by sensors, and dynamic location is vital in the case of mobile sensors. Examples include: mobile phones (GPS), vehicles, robots, and cameras. [Related Article: The... <a href="https://opendatascience.com/cuspatial-accelerates-geospatial-and-spatiotemporal-processing/" class="more-link">Read more</a> </div> </div> <div class="post-item post-28958 post type-post status-publish format-standard has-post-thumbnail hentry category-accelerate-ai category-featured-post category-opinion tag-data tag-data-variety tag-deep-learning tag-machine-learning"> <div class="image"> <a href="https://opendatascience.com/what-your-business-needs-to-know-about-data-variety/"><img src="https://opendatascience.com/wp-content/uploads/2019/09/crowd-2152653_960_720-180x180.jpg" alt="What Your Business Needs to Know About Data Variety"/></a> </div> <div class="title"> <h2> <a href="https://opendatascience.com/what-your-business-needs-to-know-about-data-variety/">What Your Business Needs to Know About Data Variety</a> </h2> <p> <a href="https://opendatascience.com/category/accelerate-ai/" title="Business + Management" class="tag-default">Business + Management</a><a href="https://opendatascience.com/category/featured-post/" title="Featured Post" class="tag-default">Featured Post</a><a href="https://opendatascience.com/category/opinion/" title="Opinion" class="tag-default">Opinion</a><a href="https://opendatascience.com/tag/data/" title="Opinion" class="tag-default">data</a><a href="https://opendatascience.com/tag/data-variety/" title="Opinion" class="tag-default">data variety</a><a href="https://opendatascience.com/tag/deep-learning/" title="Opinion" class="tag-default">Deep Learning</a><a href="https://opendatascience.com/tag/machine-learning/" title="Opinion" class="tag-default">Machine Learning</a>posted by <a href="https://opendatascience.com/user/elizabeth-wallace/" title="Opinion" class="tag-defaultic">Elizabeth Wallace, ODSC</a> <span class="legend-default"> <i class="fa fa-clock-o"></i><span class="updated" >September 20, 2019</span> </span> </p> </div> <div class="intro"> The bigger your business, the more likely your data is…interesting. Old methods of data collection put data in silos across several departments. The computing power to handle data in all its forms wasn’t there, so breaking it up in the name of agile operations was key.... <a href="https://opendatascience.com/what-your-business-needs-to-know-about-data-variety/" class="more-link">Read more</a> </div> </div> <div class="post-item post-28589 post type-post status-publish format-standard has-post-thumbnail hentry category-academic-research category-machine-learning category-modeling tag-behavioral-economics tag-machine-learning tag-personalized-choice-architecture"> <div class="image"> <a href="https://opendatascience.com/ml-and-behavioral-economics-for-personalized-choice-architecture/"><img src="https://opendatascience.com/wp-content/uploads/2019/08/email-3249062_960_720-180x180.png" alt="ML and Behavioral Economics for Personalized Choice Architecture"/></a> </div> <div class="title"> <h2> <a href="https://opendatascience.com/ml-and-behavioral-economics-for-personalized-choice-architecture/">ML and Behavioral Economics for Personalized Choice Architecture</a> </h2> <p> <a href="https://opendatascience.com/category/academic-research/" title="Data Science Academic Research" class="tag-default">Data Science Academic Research</a><a href="https://opendatascience.com/category/modeling/machine-learning/" title="Machine Learning" class="tag-default">Machine Learning</a><a href="https://opendatascience.com/category/modeling/" title="Modeling" class="tag-default">Modeling</a><a href="https://opendatascience.com/tag/behavioral-economics/" title="Modeling" class="tag-default">behavioral economics</a><a href="https://opendatascience.com/tag/machine-learning/" title="Modeling" class="tag-default">Machine Learning</a><a href="https://opendatascience.com/tag/personalized-choice-architecture/" title="Modeling" class="tag-default">personalized choice architecture</a>posted by <a href="https://opendatascience.com/user/admin_odsc/" title="Modeling" class="tag-defaultic">ODSC Team</a> <span class="legend-default"> <i class="fa fa-clock-o"></i><span class="updated" >September 19, 2019</span> </span> </p> </div> <div class="intro"> Personalized choice architecture is a new and interesting field surrounding the idea that we can predict and influence consumers’ choices, ensuring that they get the best product or best outcome possible. In a recent paper by Emir Hrnjic and Nikodem Tomczak (researchers at NUS Business School... <a href="https://opendatascience.com/ml-and-behavioral-economics-for-personalized-choice-architecture/" class="more-link">Read more</a> </div> </div> <div class="post-item post-29067 post type-post status-publish format-standard has-post-thumbnail hentry category-odsc-speaker category-conferences category-data-science-for-good category-modeling tag-fairness tag-fairness-in-machine-learning tag-machine-learning"> <div class="image"> <a href="https://opendatascience.com/machine-learning-model-fairness-in-practice/"><img src="https://opendatascience.com/wp-content/uploads/2019/09/Screen-Shot-2019-09-13-at-1.56.50-PM-180x180.png" alt="Machine Learning Model Fairness in Practice"/></a> </div> <div class="title"> <h2> <a href="https://opendatascience.com/machine-learning-model-fairness-in-practice/">Machine Learning Model Fairness in Practice</a> </h2> <p> <a href="https://opendatascience.com/category/conferences/odsc-speaker/" title="Blogs from ODSC Speakers" class="tag-default">Blogs from ODSC Speakers</a><a href="https://opendatascience.com/category/conferences/" title="Conferences" class="tag-default">Conferences</a><a href="https://opendatascience.com/category/tech-updates/data-science-for-good/" title="Data Science for Good" class="tag-default">Data Science for Good</a><a href="https://opendatascience.com/category/modeling/" title="Modeling" class="tag-default">Modeling</a><a href="https://opendatascience.com/tag/fairness/" title="Modeling" class="tag-default">fairness</a><a href="https://opendatascience.com/tag/fairness-in-machine-learning/" title="Modeling" class="tag-default">fairness in machine learning</a><a href="https://opendatascience.com/tag/machine-learning/" title="Modeling" class="tag-default">Machine Learning</a>posted by <a href="https://opendatascience.com/user/jakubczakon/" title="Modeling" class="tag-defaultic">Jakub Czakon</a> <span class="legend-default"> <i class="fa fa-clock-o"></i><span class="updated" >September 13, 2019</span> </span> </p> </div> <div class="intro"> Editor’s Note: See Jakub’s talk about Machine Learning “Model Fairness in Practice” at ODSC West 2019 In the last few years, the interest around fairness in machine learning has been gaining a lot of momentum. Rightfully so: our models are becoming more and more prevalent in... <a href="https://opendatascience.com/machine-learning-model-fairness-in-practice/" class="more-link">Read more</a> </div> </div> <div class="post-item post-28621 post type-post status-publish format-standard has-post-thumbnail hentry category-academic-research category-machine-learning category-modeling tag-machine-learning tag-machine-learning-research tag-research"> <div class="image"> <a href="https://opendatascience.com/the-best-machine-learning-research-of-summer-2019/"><img src="https://opendatascience.com/wp-content/uploads/2019/08/Screen-Shot-2019-08-16-at-11.35.45-AM-180x180.png" alt="The Best Machine Learning Research of Summer 2019"/></a> </div> <div class="title"> <h2> <a href="https://opendatascience.com/the-best-machine-learning-research-of-summer-2019/">The Best Machine Learning Research of Summer 2019</a> </h2> <p> <a href="https://opendatascience.com/category/academic-research/" title="Data Science Academic Research" class="tag-default">Data Science Academic Research</a><a href="https://opendatascience.com/category/modeling/machine-learning/" title="Machine Learning" class="tag-default">Machine Learning</a><a href="https://opendatascience.com/category/modeling/" title="Modeling" class="tag-default">Modeling</a><a href="https://opendatascience.com/tag/machine-learning/" title="Modeling" class="tag-default">Machine Learning</a><a href="https://opendatascience.com/tag/machine-learning-research/" title="Modeling" class="tag-default">Machine learning research</a><a href="https://opendatascience.com/tag/research/" title="Modeling" class="tag-default">Research</a>posted by <a href="https://opendatascience.com/user/admin_odsc/" title="Modeling" class="tag-defaultic">ODSC Team</a> <span class="legend-default"> <i class="fa fa-clock-o"></i><span class="updated" >September 11, 2019</span> </span> </p> </div> <div class="intro"> Academic institutions, AI labs, and research departments of other organizations are constantly generating novel insights into data science, whether it’s machine learning, deep learning, NLP, or other disciplines. Summer 2019 generated some interesting machine learning research, and here are a few of our top picks. [Related... <a href="https://opendatascience.com/the-best-machine-learning-research-of-summer-2019/" class="more-link">Read more</a> </div> </div> <div class="post-item post-28859 post type-post status-publish format-standard has-post-thumbnail hentry category-academic-research category-machine-learning category-modeling tag-face-swapping tag-gans tag-machine-learning"> <div class="image"> <a href="https://opendatascience.com/fsgan-subject-agnostic-face-swapping-and-reenactment/"><img src="https://opendatascience.com/wp-content/uploads/2019/08/Screen-Shot-2019-08-28-at-11.13.07-AM-180x180.png" alt="FSGAN: Subject Agnostic Face Swapping and Reenactment"/></a> </div> <div class="title"> <h2> <a href="https://opendatascience.com/fsgan-subject-agnostic-face-swapping-and-reenactment/">FSGAN: Subject Agnostic Face Swapping and Reenactment</a> </h2> <p> <a href="https://opendatascience.com/category/academic-research/" title="Data Science Academic Research" class="tag-default">Data Science Academic Research</a><a href="https://opendatascience.com/category/modeling/machine-learning/" title="Machine Learning" class="tag-default">Machine Learning</a><a href="https://opendatascience.com/category/modeling/" title="Modeling" class="tag-default">Modeling</a><a href="https://opendatascience.com/tag/face-swapping/" title="Modeling" class="tag-default">face swapping</a><a href="https://opendatascience.com/tag/gans/" title="Modeling" class="tag-default">GANs</a><a href="https://opendatascience.com/tag/machine-learning/" title="Modeling" class="tag-default">Machine Learning</a>posted by <a href="https://opendatascience.com/user/admin_odsc/" title="Modeling" class="tag-defaultic">ODSC Team</a> <span class="legend-default"> <i class="fa fa-clock-o"></i><span class="updated" >September 9, 2019</span> </span> </p> </div> <div class="intro"> Generative adversarial networks are getting a lot of press as the general public raises their fears on the forgery techniques, but the data science community has been tracking their development, precision, benefits, and threats for years. Recently though, the team of Yuval Nirkin, Yosi Keller (both... <a href="https://opendatascience.com/fsgan-subject-agnostic-face-swapping-and-reenactment/" class="more-link">Read more</a> </div> </div> <div class="post-item post-28343 post type-post status-publish format-standard has-post-thumbnail hentry category-conferences category-machine-learning category-modeling tag-machine-learning tag-reddit"> <div class="image"> <a href="https://opendatascience.com/the-history-and-future-of-machine-learning-at-reddit/"><img src="https://opendatascience.com/wp-content/uploads/2019/08/Screen-Shot-2019-07-31-at-1.21.06-PM-180x180.png" alt="The History and Future of Machine Learning at Reddit"/></a> </div> <div class="title"> <h2> <a href="https://opendatascience.com/the-history-and-future-of-machine-learning-at-reddit/">The History and Future of Machine Learning at Reddit</a> </h2> <p> <a href="https://opendatascience.com/category/conferences/" title="Conferences" class="tag-default">Conferences</a><a href="https://opendatascience.com/category/modeling/machine-learning/" title="Machine Learning" class="tag-default">Machine Learning</a><a href="https://opendatascience.com/category/modeling/" title="Modeling" class="tag-default">Modeling</a><a href="https://opendatascience.com/tag/machine-learning/" title="Modeling" class="tag-default">Machine Learning</a><a href="https://opendatascience.com/tag/reddit/" title="Modeling" class="tag-default">reddit</a>posted by <a href="https://opendatascience.com/user/admin_odsc/" title="Modeling" class="tag-defaultic">ODSC Team</a> <span class="legend-default"> <i class="fa fa-clock-o"></i><span class="updated" >September 4, 2019</span> </span> </p> </div> <div class="intro"> Let’s take a walk through the history of machine learning at Reddit from its original days in 2006 to where we are today, including the pitfalls and mistakes made as well as their current ML projects and future efforts in the space. Based on a talk... <a href="https://opendatascience.com/the-history-and-future-of-machine-learning-at-reddit/" class="more-link">Read more</a> </div> </div> </div> </div>  <div class="pages"> <ul class="pagination"> <li><span aria-current="page" class="page-numbers current">1</span></li><li><a class="page-numbers" href="https://opendatascience.com/tag/machine-learning/page/2/">2</a></li><li><a class="page-numbers" href="https://opendatascience.com/tag/machine-learning/page/3/">3</a></li><li><span class="page-numbers dots">…</span></li><li><a class="page-numbers" href="https://opendatascience.com/tag/machine-learning/page/12/">12</a></li><li class="next"><a href="https://opendatascience.com/tag/machine-learning/page/2/" class="next"><i class="fa fa-angle-right"></i></a></li><li class="previous"><a href="#"><i class="fa fa-angle-left"></i></a></li> </ul> </div> <div class="banner-468x60 "><a href="https://app.aiplus.training/courses/training-AI-Agents-From-LLMs-to-Multi-Agent-Systems" 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