November, 2020

The Four Jobs of the Data Scientist

Simply Statistics

In 2019 I wrote a post about The Tentpoles of Data Science that tried to distill the key skills of the data scientist. In the post I wrote: When I ask myself the question “What is data science?” I tend to think of the following five components.

Top 13 Python Libraries Every Data science Aspirant Must know! (and their Resources)

Analytics Vidhya

Overview Know which are the top 13 data science libraries in python Find suitable resources to learn about these python libraries for data science. The post Top 13 Python Libraries Every Data science Aspirant Must know! and their Resources) appeared first on Analytics Vidhya.

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Quantum Internet Explained

DataFloq

Diving Deeper into the Data Lake

David Menninger's Analyst Perspectives

A data lake is a centralized repository designed to house big data in structured, semi-structured and unstructured form. I have been covering the data lake topic for several years and encourage you to check out an earlier perspective called Data Lakes: Safe Way to Swim in Big Data? for background.

The Best Data Retention Policy & Template To Get You Started

In this whitepaper from Onna, we will walk you through data retention best practices and provide you with a downloadable template to help you get organized and gain better visibility into your data’s lifecycle.

CX Champions: How CX Leaders Who Raise Their Game Are Driving Business Success

Corinium

Delivering a great CX is among many business leaders' top priorities, but it's hard to know where to devote time and resources to make it happen. To help businesses plan accordingly, Zendesk partnered with ESG Research to build a framework around CX maturity and CX success.

Culture matters as Phocas scales up

Phocas

Myles Glashier, our co-founder and co-CEO explains the evolution and development of Phocas on the popular podcast,'Scaling Up'. Myles chats with Ed Cowan about the story behind the data analytics business. The genesis for Phocas came when Myles was a backpacker in London and met ERP owner Paul Magee.

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Tutorial — How to visualize Feature Maps directly from CNN layers

Analytics Vidhya

Introduction Let’s put on the eyes of Neural Networks and see what the Convolution Neural Networks see. Photo by David Travis on Unsplash Pre-requisites:-. The post Tutorial — How to visualize Feature Maps directly from CNN layers appeared first on Analytics Vidhya.

Transforming Big Data to Competitive Intelligence for Achieving Competitive Advantage

DataFloq

Organizations strive to gain a competitive edge in their industry by several means like strongly orienting their leadership strategy, empowering their branding strategies, and importantly nurturing technology-based competitive strategy.

Keeping Small Queries Fast – Short query optimizations in Apache Impala

Cloudera

This is part of our series of blog posts on recent enhancements to Impala. The entire collection is available here. Apache Impala is synonymous with high-performance processing of extremely large datasets, but what if our data isn’t huge? What if our queries are very selective?

Deciphering The Seldom Discussed Differences Between Data Mining and Data Science

Smart Data Collective

The Data Scientist profession today is often considered to be one of the most promising and lucrative. The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029.

Building Evolvable Architectures

Speaker: Dr. Rebecca Parsons, CTO of ThoughtWorks

The software development ecosystem exists in a state of dynamic equilibrium, where any new tool, framework, or technique leads to disruption and the establishment of a new equilibrium. Predictability is impossible when the foundation architects plan against is constantly changing in unexpected ways. It’s no surprise many CIOs and CTOs are struggling to adapt, in part because their architecture isn’t equipped to evolve. This webinar will discuss what’s at stake if companies continue to use long term architecture plans.

Kerridge Commercial Systems and Phocas Software join forces to enable distributive trades to feel good about data

Phocas

Industry leading ERP, Retail and Business Management software provider, Kerridge Commercial Systems (KCS) , and leading analytics software provider, Phocas Software , today sign ed a global partnership agreement that will enable KCS ’ customers to elevate data held in their KCS systems.

Why Your Startup Needs Data Science

TDAN

Top-quality data currently represents one of the most important resources for any company. This is especially true for young businesses that don’t have much experience in their market and that still don’t know enough about their customers.

Artificial Intelligence in Agriculture : Using Modern Day AI to Solve Traditional Farming Problems

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview Understand what is Artificial Intelligence Lifecycle of agriculture Challenges faced in.

EU plans to open data to sharing in bid to rival Asia and U.S.

DataFloq

By Marine Strauss. BRUSSELS (Reuters) - In an effort to avoid EU firms and citizens relying on data from Asian and U.S rivals, the European Commission is proposing new rules to allow sharing of public and personal data with businesses and research organisations.

Are Your Embedded Analytics DevOps-Friendly?

Does your analytics solution work with your current tech stack and DevOps practices? If not, any update to the analytics could increase deployment complexity and become difficult to maintain. Learn the 5 elements of a DevOps-friendly embedded analytics solution.

Announcing the 2020 Data Impact Award Winners

Cloudera

What a fantastic 24-hours it has been here at Cloudera. During the first-ever virtual broadcast of our annual Data Impact Awards (DIA) ceremony, we had the great pleasure of announcing this year’s finalists and winners.

Will COVID-19 Show the Adaptability of Machine Learning in Loan Underwriting?

Smart Data Collective

Machine learning is transforming the financial sector more than anybody could have ever predicted. This technology might be more important than ever during the pandemic, as financial institutions discover that many traditional protocols aren’t nearly as effective.

Why leading BI vendors are committed to customer success

Phocas

All BI vendors want customers that are loyal, use the product often and share their positive experiences with others.

Measuring Fairness in Machine Learning Models

Dataiku

In our previous article , we gave an in-depth review on how to explain biases in data. The next step in our fairness journey is to dig into how to detect biased machine learning models. Tech Blog

Digital Trends Report 2020

As part of our goal to continue helping our community during these times, we wanted to share with you this critical data on the state of digital products across industries and provide context on how businesses are responding to the changing winds.

How Can You Build a Career in Data Science & Machine Learning?

Analytics Vidhya

Introduction to Machine Learning Machine Learning is the crux of Artificial Intelligence. With increasing developments in AI, IoT and other smart technologies, machine learning. The post How Can You Build a Career in Data Science & Machine Learning? appeared first on Analytics Vidhya.

EU antitrust chief does not see breakup of tech giants: paper

DataFloq

BERLIN (Reuters) - Splitting up large tech companies such as Google and Facebook will not be necessary, Europe's antitrust chief was quoted as saying on Sunday. European Competition Commissioner Margrethe Vestager is due to announce new draft rules for the digital sector on Dec.

Veterans Day: What Service Means to Clouderan Vets

Cloudera

Around the world, a number of countries celebrate November 11 as a day to give thanks and recognition for their veterans. Originally designated to honor the end of World War I ( Armistice Day and Remembrance Day ), in some countries it is now used to pay respect to all veterans ( Veterans Day ). .

IT 89

5 Reasons Technical Support is Essential in the Big Data Age

Smart Data Collective

In an age where data plays a fundamental role in every aspect of our lives, it’s relatively simple to find the answers that we need. You can conduct a Google query and you’ll quickly find thousands of helpful webpages, YouTube videos, and blogs dealing with the issue.

5 Things a Data Scientist Can Do to Stay Current

DataRobot together with Snowflake – a leading cloud data platform provider — is helping data scientists stay current with the latest technology and data science best practices so that they can excel in an increasingly AI-driven workplace. Five Things a Data Scientist Can Do to Stay Current offers data scientists guidance for thriving in AI-driven enterprises.

Phocas and Datafile join forces to offer SMEs a digital transformation roadmap

Phocas

Phocas business intelligence and Datafile software solutions, two longstanding s oftware providers dedicated to solving data problems for the SME market in the United Kingdom, have signed a local partnership agreement.

Analyzing Large P Small N Data – Examples from Microbiome

Domino Data Lab

Guest Post by Bill Shannon, Founder and Managing Partner of BioRankings. Introduction. High throughput screening technologies have been developed to measure all the molecules of interest in a sample in a single experiment (e.g.,

Introduction to Clustering in Python for Beginners in Data Science

Analytics Vidhya

Introduction Extracting knowledge from the data has always been an important task, especially when we want to make a decision based on data. The post Introduction to Clustering in Python for Beginners in Data Science appeared first on Analytics Vidhya.

Artificial Intelligence’s Impact on Procurement

DataFloq

Enterprise Doubles Down on the Benefits of Artificial IntelligenceScience Daily defines Artificial Intelligence as “a system that perceives its environment and takes actions which maximize its chances of success.”

Risk 242

Testing at Every Stage of Development

Up to 80% of new products fail. The reality is harsh and the reasons why are endless. Perhaps the new product couldn’t oust a customer favorite. Maybe it looked great but was too hard to use. Or, despite being a superior product, the go-to-market strategy failed. There’s always a risk when building a new product, but you can hedge your bets by understanding exactly what your customers' expectations truly are at every step of the development process.

#ClouderaLife Spotlight: Teresa Morris, Sr. Manager, Technical Partner Support

Cloudera

Meet Teresa Morris! year Clouderan working as a Sr. Manager, Technical Partner Support. Her role entails building and managing support partnerships – it’s one she finds rewarding. “It’s It’s not a one project kind of thing, it’s a whole experience of managing partnerships that bring more business.

An Important Guide To Unsupervised Machine Learning

Smart Data Collective

We’re living in an era of digital switch-over with only one constant – evolve. And that digital transformation is being introduced by high-tech solutions. Hence, it comes as no surprise that mundane business tasks are being completely taken over by tech advancements.

Business intelligence vs. spreadsheets: What does your business need?

Phocas

As businesses grow and become more digital, so too does the amount of data available to track and analyze. For people to take advantage of the abundance of data and make well-informed decisions , you must have access to a tool to get a single, real-time, fact-based version of the truth.

Doing Power BI the Right Way: 8. Planning for separation – data models & reports

Paul Turley

Part of the the series: Doing Power BI the Right Way Back in the day, when we created BI solutions, reports and data models were separate. If you created a cube or Tabular model with Analysis Services, it was developed with Visual Studio and deployed to a server.

How Embedding AI-Powered Analytics Can Give You a Competitive Advantage

Embedding dashboards and reports aren’t enough. Futureproof your application by offering instant, actionable insights that will give you and your customers a competitive advantage.