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format-standard has-post-thumbnail hentry category-accelerate-ai tag-west-2018"> <div class="image"> <a href="https://opendatascience.com/practical-ways-to-integrate-data-science-into-your-organization/"><img src="https://opendatascience.com/wp-content/uploads/2019/12/Screen-Shot-2019-12-05-at-5.13.41-PM-180x180.jpg" alt="Practical Ways to Integrate Data Science Into Your Organization"/></a> </div> <div class="title"> <h2> <a href="https://opendatascience.com/practical-ways-to-integrate-data-science-into-your-organization/">Practical Ways to Integrate Data Science Into Your Organization</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/tag/west-2018/" title="Business + Management" class="tag-default">West 2018</a>posted by <a href="https://opendatascience.com/user/danielgutierrez/" title="Business + Management" class="tag-defaultic">Daniel Gutierrez, ODSC</a> <span class="legend-default"> <i class="fa fa-clock-o"></i><span class="updated" >December 5, 2019</span> </span> </p> </div> <div class="intro"> This ODSC West 2018 non-technical talk “Practical Data Science,” presented by Michael Galvin, Executive Director of Data Science Corporate Training for Metis, discusses the practical steps that need to be taken to successfully integrate data science into an organization, as well as some struggles and pitfalls... <a href="https://opendatascience.com/practical-ways-to-integrate-data-science-into-your-organization/" class="more-link">Read more</a> </div> </div> <div class="post-item post-30292 post type-post status-publish format-standard has-post-thumbnail hentry category-machine-learning category-modeling tag-hand-labeled-data tag-labled-training-data-sets tag-tensorflow tag-west-2018"> <div class="image"> <a href="https://opendatascience.com/software-2-0-and-snorkel-beyond-hand-labeled-data/"><img src="https://opendatascience.com/wp-content/uploads/2019/10/sw2-180x180.png" alt="Software 2.0 and Snorkel: Beyond Hand-Labeled Data"/></a> </div> <div class="title"> <h2> <a href="https://opendatascience.com/software-2-0-and-snorkel-beyond-hand-labeled-data/">Software 2.0 and Snorkel: Beyond Hand-Labeled Data</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/hand-labeled-data/" title="Modeling" class="tag-default">hand labeled data</a><a href="https://opendatascience.com/tag/labled-training-data-sets/" title="Modeling" class="tag-default">labled training data sets</a><a href="https://opendatascience.com/tag/tensorflow/" title="Modeling" class="tag-default">TensorFlow</a><a href="https://opendatascience.com/tag/west-2018/" title="Modeling" class="tag-default">West 2018</a>posted by <a href="https://opendatascience.com/user/danielgutierrez/" title="Modeling" class="tag-defaultic">Daniel Gutierrez, ODSC</a> <span class="legend-default"> <i class="fa fa-clock-o"></i><span class="updated" >October 28, 2019</span> </span> </p> </div> <div class="intro"> This ODSC West 2018 talk “Software 2.0 and Snorkel: Beyond Hand-Labeled Data,” presented by Alex Ratner, a Ph.D. student in Computer Science at Stanford University, discusses a new way of effectively programming machine learning systems using what’s called “weaker supervision,” and how it enables domain experts... <a href="https://opendatascience.com/software-2-0-and-snorkel-beyond-hand-labeled-data/" class="more-link">Read more</a> </div> </div> <div class="post-item post-29976 post type-post status-publish format-standard has-post-thumbnail hentry category-conferences category-machine-learning category-modeling tag-vectors tag-west-2018"> <div class="image"> <a href="https://opendatascience.com/visualizing-vectors-basics-every-data-scientist-should-know/"><img src="https://opendatascience.com/wp-content/uploads/2019/10/pay-1036469_1920-180x180.jpg" alt="Visualizing Vectors: Basics Every Data Scientist Should Know"/></a> </div> <div class="title"> <h2> <a href="https://opendatascience.com/visualizing-vectors-basics-every-data-scientist-should-know/">Visualizing Vectors: Basics Every Data Scientist Should Know</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/vectors/" title="Modeling" class="tag-default">Vectors</a><a href="https://opendatascience.com/tag/west-2018/" title="Modeling" class="tag-default">West 2018</a>posted by <a href="https://opendatascience.com/user/danielgutierrez/" title="Modeling" class="tag-defaultic">Daniel Gutierrez, ODSC</a> <span class="legend-default"> <i class="fa fa-clock-o"></i><span class="updated" >October 8, 2019</span> </span> </p> </div> <div class="intro"> This ODSC West 2018 talk “Visualizing Vectors: Basics Every Data Scientist Should Know,” presented by Jed Crosby, Head of Data Science at Clari, should be a required learning resource for all new data scientists. This is because every data scientist should have a firm grasp of... <a href="https://opendatascience.com/visualizing-vectors-basics-every-data-scientist-should-know/" class="more-link">Read more</a> </div> </div> <div class="post-item post-28401 post type-post status-publish format-standard has-post-thumbnail hentry category-accelerate-ai category-conferences tag-data-science tag-data-science-literacy tag-literacy tag-open-source-education tag-west-2018"> <div class="image"> <a href="https://opendatascience.com/data-science-literacy-and-open-source-education-for-the-enterprise/"><img src="https://opendatascience.com/wp-content/uploads/2019/08/Screen-Shot-2019-08-06-at-11.35.58-AM-180x180.png" alt="Data Science Literacy and Open Source Education for the Enterprise"/></a> </div> <div class="title"> <h2> <a href="https://opendatascience.com/data-science-literacy-and-open-source-education-for-the-enterprise/">Data Science Literacy and Open Source Education for the Enterprise</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/conferences/" title="Conferences" class="tag-default">Conferences</a><a href="https://opendatascience.com/tag/data-science/" title="Conferences" class="tag-default">Data Science</a><a href="https://opendatascience.com/tag/data-science-literacy/" title="Conferences" class="tag-default">data science literacy</a><a href="https://opendatascience.com/tag/literacy/" title="Conferences" class="tag-default">literacy</a><a href="https://opendatascience.com/tag/open-source-education/" title="Conferences" class="tag-default">open source education</a><a href="https://opendatascience.com/tag/west-2018/" title="Conferences" class="tag-default">West 2018</a>posted by <a href="https://opendatascience.com/user/elizabeth-wallace/" title="Conferences" class="tag-defaultic">Elizabeth Wallace, ODSC</a> <span class="legend-default"> <i class="fa fa-clock-o"></i><span class="updated" >October 8, 2019</span> </span> </p> </div> <div class="intro"> As a data scientist, one of your biggest struggles in your organization is probably communicating what you do (and what you can do) to the organization outside your data science team. If the departments around your data science team don’t understand how to frame the questions... <a href="https://opendatascience.com/data-science-literacy-and-open-source-education-for-the-enterprise/" class="more-link">Read more</a> </div> </div> <div class="post-item post-28397 post type-post status-publish format-standard has-post-thumbnail hentry category-accelerate-ai category-conferences tag-startups tag-west-2018"> <div class="image"> <a href="https://opendatascience.com/ai-gold-rush-how-to-build-a-better-ai-startup/"><img src="https://opendatascience.com/wp-content/uploads/2019/08/Screen-Shot-2019-08-06-at-11.21.05-AM-180x180.png" alt="AI Gold Rush: How to Build a Better AI Startup"/></a> </div> <div class="title"> <h2> <a href="https://opendatascience.com/ai-gold-rush-how-to-build-a-better-ai-startup/">AI Gold Rush: How to Build a Better AI Startup</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/conferences/" title="Conferences" class="tag-default">Conferences</a><a href="https://opendatascience.com/tag/startups/" title="Conferences" class="tag-default">Startups</a><a href="https://opendatascience.com/tag/west-2018/" title="Conferences" class="tag-default">West 2018</a>posted by <a href="https://opendatascience.com/user/elizabeth-wallace/" title="Conferences" class="tag-defaultic">Elizabeth Wallace, ODSC</a> <span class="legend-default"> <i class="fa fa-clock-o"></i><span class="updated" >September 25, 2019</span> </span> </p> </div> <div class="intro"> We’re in the midst of an AI “gold rush.” It’s not just people working directly with AI, but the entire ecosystem that’s changing. Even fields affected by AI are innovating within the infrastructure, causing new use cases and new ways of thinking about AI. It’s an... <a href="https://opendatascience.com/ai-gold-rush-how-to-build-a-better-ai-startup/" class="more-link">Read more</a> </div> </div> <div class="post-item post-28404 post type-post status-publish format-standard has-post-thumbnail hentry category-accelerate-ai category-retail tag-dynamic-pricing tag-west-2018"> <div class="image"> <a href="https://opendatascience.com/using-ai-for-dynamic-pricing-the-smarking-example/"><img src="https://opendatascience.com/wp-content/uploads/2019/08/Screen-Shot-2019-08-06-at-11.40.43-AM-180x180.png" alt="Using AI for Dynamic Pricing: The Smarking Example"/></a> </div> <div class="title"> <h2> <a href="https://opendatascience.com/using-ai-for-dynamic-pricing-the-smarking-example/">Using AI for Dynamic Pricing: The Smarking Example</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/accelerate-ai/retail/" title="Retail" class="tag-default">Retail</a><a href="https://opendatascience.com/tag/dynamic-pricing/" title="Retail" class="tag-default">dynamic pricing</a><a href="https://opendatascience.com/tag/west-2018/" title="Retail" class="tag-default">West 2018</a>posted by <a href="https://opendatascience.com/user/elizabeth-wallace/" title="Retail" 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"> What do airlines, hotels, parking, and cloud computing have in common? You invest in assets upfront and render them out as slices of time. While parking assets exist in the physical space, and cloud computing exists in a virtual space, the principle is the same. Dr.... <a href="https://opendatascience.com/using-ai-for-dynamic-pricing-the-smarking-example/" class="more-link">Read more</a> </div> </div> <div class="post-item post-28491 post type-post status-publish format-standard has-post-thumbnail hentry category-conferences category-modeling tag-a-b-testing tag-west-2018"> <div class="image"> <a href="https://opendatascience.com/mastering-a-b-testing-from-design-to-analysis/"><img src="https://opendatascience.com/wp-content/uploads/2019/08/fig-1-180x180.png" alt="Mastering A/B Testing: From Design to Analysis"/></a> </div> <div class="title"> <h2> <a href="https://opendatascience.com/mastering-a-b-testing-from-design-to-analysis/">Mastering A/B Testing: From Design to Analysis</a> </h2> <p> <a href="https://opendatascience.com/category/conferences/" title="Conferences" class="tag-default">Conferences</a><a href="https://opendatascience.com/category/modeling/" title="Modeling" class="tag-default">Modeling</a><a href="https://opendatascience.com/tag/a-b-testing/" title="Modeling" class="tag-default">a/b testing</a><a href="https://opendatascience.com/tag/west-2018/" title="Modeling" class="tag-default">West 2018</a>posted by <a href="https://opendatascience.com/user/nathaniel-jermain/" title="Modeling" class="tag-defaultic">Nathaniel Jermain</a> <span class="legend-default"> <i class="fa fa-clock-o"></i><span class="updated" >August 29, 2019</span> </span> </p> </div> <div class="intro"> A/B testing is a critical tool leveraged by data scientists to estimate the expected outcome of a certain action like updating software, adding new features, or deploying a new web layout. 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For example, Keras provides APIs with TensorFlow backend that enable users to build neural networks without being fluent with TensorFlow. 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