Tue.Sep 10, 2019

A Data Scientist’s Guide to 8 Types of Sampling Techniques

Analytics Vidhya

Overview Sampling is a popular statistical concept – learn how it works in this article We will also talk about eight different types of. The post A Data Scientist’s Guide to 8 Types of Sampling Techniques appeared first on Analytics Vidhya. Statistics Descriptive statistics different kinds of sampling Inferential Statistics random sampling Sampling statistics

Interview with: Nadeem Asghar and Cindy Maike at Cloudera


Tell us about your experience in working with the data analytics community at Cloudera? Why do you like working in this space? Data Analytics Interview Insights

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5 ways Data Analytics is a Game Changer for the Insurance Industry


We are in the age of ‘Big Data’ and while it is becoming a big business in the emerging technological world, let us understand and get a deeper insight on what Data Analysis basically is. .

How pricing strategies work better with data analytics


Every company must have a strategy to price their goods. Your pricing strategy is a fundamental component to your marketing process as pricing can increase sales or send customers to your competitors.

How to Solve 4 Common Challenges of Legacy Information Management

Speaker: Chris McLaughlin, Chief Marketing Officer and Chief Product Officer, Nuxeo

After 20 years of Enterprise Content Management (ECM), businesses still face many of the same challenges with finding and managing information. Join Chris McLaughlin, CMO and CPO of Nuxeo, as he examines four common business challenges that these legacy ECM systems pose and how they can be addressed with a more modern approach.

How Can Artificial Intelligence Help in Business?


Business intelligence meets Artificial Intelligence. Ask someone what springs to mind when they hear the words AI or Business Artificial Intelligence, and the first thing they might mention is a young Haley Joel Osment in the film version of AI.

Scikit-Learn vs mlr for Machine Learning


How does the scikit-learn machine learning library for Python compare to the mlr package for R? Following along with a machine learning workflow through each approach, and see if you can gain a competitive advantage by knowing both frameworks.

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Discover Your Path Toward Data Science with ODSC’s Mini-Bootcamp


ODSC has developed a mini-bootcamp, designed to reduce the time and monetary costs of discovering which pathway into data science you should take. In this article, we’ll discuss seven reasons why ODSC’s Mini-Bootcamp might be right for you. 2019 Sep Courses, Education Bootcamp CA ODSC San Francisco

Top AutoTech startups, trends & facts


Autotech is a disruptive technology that has changed the automotive sector. For over two decades, major progress has been made in fuel economy, ride quality and safety. And it is expected that within a couple of years, a standard passenger car will be able to drive with a great level of autonomy.

The 5 Graph Algorithms That Data Scientists Should Know


In this post, I am going to be talking about some of the most important graph algorithms you should know and how to implement them using Python. 2019 Sep Tutorials, Overviews Algorithms Data Science Data Scientist Graph Python

Say a Word for Augmented Reality


When we think about the new and exciting world where the computer reality and the physical world are combined into a unique experience, we imagine ourselves on top of the world climbing the highest mountains, or deep in the oceans watching bottom fish, or shaking hands with celebrities?—?all

Encouraging Innovation in an Established Product Culture

Speaker: Richard Cardran, Chief Creative Officer and VP Strategy, HIA Technologies

Innovation is both a process and an outcome. The best way to begin innovating your products is by innovating your internal process. We'll explore the challenges, solutions, and hands-on techniques for becoming a successful "agent of change" within a well-established product culture. We'll examine the importance of UX and user-centric feature analysis, the adaptation of Agile Methodologies to the creative process, as well as a way to drive successful culture change for setting expectations and winning approvals with cross-functional stakeholders. Innovation and Leadership go hand in hand. Join Richard Cardran, Chief Creative Officer and VP Strategy, HIA Technologies, as we assess some case studies to see how to lead with a clear strategy well-defined tactics, and an unbiased understanding of the fundamental question: "why are you innovating?"

Top August Stories: How to Become More Marketable as a Data Scientist


Also: Top Handy SQL Features for Data Scientists; 12 NLP Researchers, Practitioners & Innovators You Should Be Following; Knowing Your Neighbours: Machine Learning on Graphs. 2019 Sep Top Stories, Tweets Top stories

Why Healthcare is Moving to Cloud: Connect Data Silos

Perficient Data & Analytics

The following is the third blog in a series about why healthcare organizations are moving to the cloud. In this series so far, we have looked at how the cloud brings robust data security and the cost savings and efficiencies that the cloud delivers for healthcare organizations.

Every decade, federated DBMSs reappear. This time around they may play a role in data integration.


Every decade there are three or four new systems who federate data in disparate systems. This has been a regular occurrence for the last forty or so years. In fact, I am responsible for proposing one in the 1970’s (Distributed Ingres) and one in the 1990’s (Mariposa). None of these projects have succeeded, and there is a good reason why not, as explained in this blog post. However, they may well play a role as a piece of a future data integration suite, as subsequently explained.

The Insights Beat: Plan For New Data & Analytics Supplies

Srividya Sridharan

Summer’s lease hath all too short a date. It always seems to pass by in the blink of an eye, and this year was no exception. Though I am excited for cooler temperatures and the prismatic colors of New England in the fall, I am sorry to see summer come to an end. The end […]. age of the customer artificial intelligence (AI) translytical databases B2B AI computer vision data literacy

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The Magic of Intent: Start Knowing The Goals of Your Users

Speaker: Terhi Hanninen, Senior Product Manager, Zalando, and Dr. Franziska Roth, Senior User Researcher, Zalando

It's important to know your users - what are their preferences, pain points, ultimate goals? With user research and usage data, you can get a great idea of how your users act. The tricky part is, very few users reliably act the same way every time they use your product. Join Terhi Hanninen, Senior Product Manager, and Dr. Franziska Roth, Senior User Researcher at Zalando, as they explain how they were able to reach a new level of user understanding - by taking their user research and segmenting their users by point-in-time intent. You'll leave with a strategy to change how your product team, and organization at large, understands your users.

How to Get the Most out of MuleSoft’s Anypoint Platform

Perficient Data & Analytics

MuleSoft’s Anypoint platform is a robust system to help both in creating and leveraging connections between separate systems. This can, in effect, create an “application network” where previously unconnected sources of data come together to meet your business’s needs. (By By the way, if you’re not familiar with MuleSoft yet, you can learn more about the basics here.) . 5 Steps to Get the Most out of MuleSoft. Thinking about integrating your company’s systems using the MuleSoft Anypoint Platform?

How to Use an Iterative Process to Hone the Perfect Data Visualization

Depict Data Studio

Emily Rose Barter is one member of the Data, Reporting, and Evaluation team at Emerge Community Development in Minneapolis, Minnesota. Her teammates and co-learners include Britani Baker and their fearless leader, Danci Greene.

How a Global AI Community Fights Hunger, Identifies Anomalies on Mars and Combats Climate Change


Building AI for Good with changemakers in 60+ countries


How to get Hadoop and Spark up and running on AWS


Are you interested in working on high-impact projects and transitioning to a career in data? Sign up to learn more about the Insight Fellows programs and start your application today.

Embedding Operational Reports: Everything Product Managers Should Know

Speaker: Dean Yao, Sr. Director of Product Marketing, Logi Analytics

Businesses are run with analytics - but companies continue to struggle with interpreting, analyzing, and distributing data. Operational reports help get information to the people who need it most, in formats they understand, and in a timeframe that matters. Join the webinar to learn how embedding operational reports can give your users a precisely formatted, ready-to-analyze view of their operational activities. World-class software teams are embedding operational reports to empower end users with interactive data visualizations, detailed information, and highly precise formats that can be shared via email, PDF, print, or online.

Data Dictionary vs. Business Glossary: The Low Down


Enterprises today are focused on ensuring robust data governance, and are exploring different tools and approaches to support their efforts.

CDH6.3 HBase: G1 GC Tuning with JDK11


With the release of CDH6.3 customers can now use OpenJDK 11 with Cloudera Enterprise 6.3 and HBase 2.1. Some of the changes in JDK11 is the new default Garbage Collector Garbage First Garbage Collector (G1GC) and the Z Garbage Collector (ZGC). .

Introducing CDP at Strata Data New York


City that never sleeps, meet the world’s first enterprise data cloud. . Cloudera has a long and storied history with the O’Reilly Strata Conference , from its earliest days as the event for all things Hadoop to its evolution as the nexus for conversation around data management, ML, AI, and cloud.