We have the vision of a world where each day is safer and more secure than the one before. These aren't easy goals to accomplish – but we're not here for easy. We are a company built on the foundation of challenging and disrupting the way things are done, and we're looking for innovators who are as committed to shaping the future of cybersecurity as we are. Palo Alto Networks is evolving to meet the needs of our employees now and in the future through FLEXWORK, our approach to how we work. And because it FLEXes around each individual employee based on their individual choices, employees are empowered to push boundaries and help us all evolve, together.

Clustering is a technique that groups similar objects such that the objects in the same group are more similar to each other than the objects in the other groups. The group of similar objects is called a Cluster. Also called Hierarchical cluster analysis or HCA is an unsupervised clustering algorithm which involves creating clusters that have predominant ordering from top to bottom. For e.g: All files and folders on our hard disk are organized in a hierarchy. The algorithm groups similar objects into groups called clusters.

Sr.Data Modeler Qualification: Bachelors in science, engineering or equivalent Responsibility: Data Modeling In collaboration with the Sr. data modeler, analyze the requirements and create a clarification list, if required; Define data requirements based on understanding of the same; In collaboration with the Sr. data modeler, create conceptual model based on the understanding of the business processes; Map KPIs to the conceptual model, if required; Validate the conceptual model with Sr. data modeler, If you require accessibility assistance applying for open positions in the US please send an email with your request to CareersNorthAmerica@cognizant.com Qualifications Technical Skills PL1 The associate has basic awareness and comprehension of the skill and is in the process of acquiring this skill through various channels. PL2 The associate possesses working knowledge of the skill, and can actively and independently apply this skill in engagements and projects. PL3 The associate has comprehensive, in-depth and specialized knowledge of the skill. She / he has extensively demonstrated successful application of the skill in engagements or projects. PL4 The associate can function as a subject matter expert for this skill.

Machine learning has advanced to the point where it more or less goes hand-in-hand with Big Data. Indeed, so popular is the technology that over a third of developers – some 36 percent – who're working on Big Data or advanced analytics projects use elements of machine learning, says a new study by Evans Data Corp. What with more Big Data being generated from sources like audio, the Internet of Things, social media, wearables and video, enterprises need more efficient ways to handle and process it to drive new business insights. Machine learning involves creating and improving complex algorithms that are able to analyze data automatically and identify patterns or predict outcomes based on the knowledge they have "learned". As such, it has great potential for helping companies to better understand what their data is telling them.