Applying Convolutional Neural Networks with TensorFlow

Databricks

In this latest Data Science Central Deep Learning Fundamentals Series webinar, we will cover the fundamentals behind TensorFlow and how to apply them within a convolutional neural network (CNN) example. The principles we will cover include CNN concepts and their impact to the accuracy and loss of your network. All these concepts will be brought to life by demonstrating how Databricks simplifies deep learning - letting you quickly access ready-to-use ML environments, as well as prepare data, and train models faster. After this session, if requested, you will receive the presentation and associated notebooks so you can run the samples yourself.
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Spotlight

Insight is an intensive, seven week postdoctoral training fellowship that bridges the gap between academia and a career in data science. Based in Silicon Valley and New York City, and with a growing network across the country, the program enables scientists to learn the industry specific skills needed to work in the growing field of big data at leading companies. Are you a PhD candidate or postdoctoral researcher looking to transition into a career in industry? Do you want a career that truly leverages your quantitative experience in a fast-growing, in-demand field that is making a positive impact in the world?

OTHER ON-DEMAND WEBINARS

Data Governance Strategies

DATAVERSITY

Much like project management and home improvements, Data Governance sounds a lot simpler than it actually is. In a nutshell, Data Governance can be explained as “managing data with guidance.” In general, the perceived utility of these programs increases with the specificity of desired data and processing improvements. Whether restarting or starting your Data Governance programs, it is critical to be guided by a periodically revised Data Strategy that links support for organizational strategy to specific operational data improvements. Understanding these and other aspects of governance is necessary to eliminate the ambiguity that often surrounds the implementation of effective Data Management and stewardship programs.
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Better Data Means Better Business Decisions

focusvision

We all strive for great data and insights to feed into decisions that propel business’ forward. In today’s fast-spinning world we need to do that ever more quickly and cost-effectively. But when moving quickly, the research participant and their needs can be forgotten, and this can have negative consequences for data quality.
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Modernize Your Data Architecture to Deliver Oracle as a Service

robin.io

The migration to cloud-based data architectures continues at a rapid pace, including databases and data management. Oracle databases are part of this trend, and during this webinar you will learn how to automate the provisioning and management of Oracle databases so that you can deliver an “as-a-service” experience with 1-click simplicity. Experts will walk you through the process of
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SAP HANA : Future of Data Warehousing and Bigdata Analytics

SAP HANA

Webinar will discuss about: History and present of SAP Business Model. Overview of Technology underlying SAP HANA (In Memory Computing) , Bigdata, Space for Analytics. SAP HANA Modelling Environment (Architecture + Setting up Environment). Data warehousing Models (Star schema + concept of master data). Basic Graphical Views (attribute, analytical and calculation Views). Data base operation in Hana tool.
Watch Now

Spotlight

Insight is an intensive, seven week postdoctoral training fellowship that bridges the gap between academia and a career in data science. Based in Silicon Valley and New York City, and with a growing network across the country, the program enables scientists to learn the industry specific skills needed to work in the growing field of big data at leading companies. Are you a PhD candidate or postdoctoral researcher looking to transition into a career in industry? Do you want a career that truly leverages your quantitative experience in a fast-growing, in-demand field that is making a positive impact in the world?

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