Analytics Vidhya
FEBRUARY 18, 2021
ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction Machine learning.Sounds cool right? When I see those two words, The post Introduction to Machine Learning for Absolute Beginners appeared first on Analytics Vidhya.
Dataconomy
FEBRUARY 18, 2021
Machine learning (ML) is a definite branch of artificial intelligence (AI) that brings together significant insights to solve complex and data-rich business problems by means of algorithms. ML understands the past data that is usually in a raw form to envisage the future outcome. It is gaining more and more.
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The Data Administration Newsletter
FEBRUARY 16, 2021
With the new year events well behind us, we’re steadily focused on moving forward in 2021. While we have seen a change in the calendar year, one initiative that continues to be a top priority for businesses is storing, managing, accessing and optimizing corporate data. Given that, let’s consider what I believe will be some […].
Smart Data Collective
FEBRUARY 16, 2021
Big data has shed some important insights on a number of facets of modern organizational functions. One of the areas that has been shaped by big data is cybersecurity. We have talked about the importance of using big data to strengthen cybersecurity by creating more robust defenses. However, there are also less direct reasons that big data can be important for stopping cyberattacks.
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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?
Analytics Vidhya
FEBRUARY 17, 2021
ArticleVideos This article was published as a part of the Data Science Blogathon. What is Multicollinearity? One of the key assumptions for a regression-based. The post Multicollinearity: Problem, Detection and Solution appeared first on Analytics Vidhya.
Dataconomy
FEBRUARY 19, 2021
AI has become an indispensable resource for many businesses in 2020 amid the challenges of COVID-19. Despite economic stress, 61% of high-performing companies invested more in AI in 2020. As recovery from pandemic losses gets underway, more may turn to AI to strengthen their digital transformation. Increased investments in AI.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Smart Data Collective
FEBRUARY 15, 2021
Data mining serves many essential purposes in numerous applications. It can be vital for identifying some of the most important social trends affecting people all over the country. Last April, we talked about ways that social data can be useful in business. However, social data can serve even more important purposes, especially for public policy makers, GMOs and leading nonprofits.
Analytics Vidhya
FEBRUARY 19, 2021
ArticleVideos Introduction “I understand the concepts well. Why should I focus on data science projects in my data science journey?” I have been in. The post 6 Open Source Data Science Projects That Provide an Edge to Your Portfolio appeared first on Analytics Vidhya.
Dataconomy
FEBRUARY 16, 2021
The early months of the COVID-19 pandemic saw a dramatic decline in advertising spend across the board, encompassing both top-of-the-funnel brand advertising (designed to generate awareness among new customers) and mid-to-bottom funnel performance advertising (aimed at generating leads and sales). As businesses adjusted to their new trading environment, advertising spend.
Tableau
FEBRUARY 17, 2021
Kristin Adderson. February 17, 2021 - 7:09pm. February 17, 2021. Data visualization is a collaborative exercise. Sometimes help comes from unexpected places. As James Madison University (JMU) prepared for Fall 2020 classes, freshman parent and Tableau Partner, Lee Feinberg, volunteered to help improve the school’s Stop The Spread dashboard. JMU’s commitment to data transparency, through both university- and self-reported cases, has contributed to more than 540,000 views of its COVID-19 dashboard
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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
Dataversity
FEBRUARY 16, 2021
Click to learn more about author Jackson Shaw. With the global COVID-19 pandemic altering the way enterprise organizations do business and their employees work, it’s been a particularly challenging year for IT professionals. In addition to the complexities of migrating entire organizations to working remotely, it’s also their responsibility to ensure the new tools employees […].
Analytics Vidhya
FEBRUARY 16, 2021
ArticleVideos This article was published as a part of the Data Science Blogathon. Pre-requisites Understanding of Machine Learning using Python (sklearn) Basics of Django. The post Machine Learning Model Deployment using Django appeared first on Analytics Vidhya.
Smart Data Collective
FEBRUARY 14, 2021
Big data is fundamental to the future of software development. A growing number of developers are finding ways to utilize data analytics to streamline technology rollouts. Data-driven solutions are particularly important for SaaS technology. New SaaS businesses have discovered that data analytics is important for facilitating many aspects of their models.
Eugene Yan
FEBRUARY 13, 2021
What the top teams did to win the 36-hour data hackathon. No, not machine learning.
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
Dataversity
FEBRUARY 15, 2021
Click to learn more about co-author John Ladley. Click to learn more about co-author Thomas Redman. This article introduces Force-Field Analysis (FFA) [1], a tool that one of us (Tom) has used for many years to help understand and summarize the impacts of multiple factors in the data space. The goal is to equip readers […]. The post Increasing the Business Impact of Data Management Using Force-Field Analysis appeared first on DATAVERSITY.
Analytics Vidhya
FEBRUARY 13, 2021
ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction Coca-Cola and PepsiCo are well-established names in the soft drink. The post Customer Sentiments Analysis of Pepsi and Coca-Cola using Twitter Data in R appeared first on Analytics Vidhya.
Smart Data Collective
FEBRUARY 17, 2021
How do doctors feel about electronic health records (EHRs)? What do they want from this type of software? And what are the major barriers to doctors’ use of EHRs? should be your priority questions if you’ve decided to build custom healthcare software for your medical practice or implement an existing solution. Big data has had a tremendous affect on the healthcare sector.
The Data Administration Newsletter
FEBRUARY 17, 2021
Announcements and News DAMA International and Local Chapter members! Welcome to the DAMA Corner, a source of information for data management professionals here on TDAN.com, the industry leading publication for people interested in learning about data administration and data management disciplines and best practices. Each column provides an update on the professional organization DAMA International, and an opportunity to […].
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
Dataversity
FEBRUARY 17, 2021
Click to learn more about author Gary McCarthy. Despite significant investments in Data Management, data problems persist in many organizations. One reason for this is the view of data as a technology project rather than a corporate asset. As such, most enterprises do not have a defined Data Management plan and are therefore not able […]. The post What Do Business Leaders Need to Know About Data Strategy?
Analytics Vidhya
FEBRUARY 17, 2021
ArticleVideos This article was published as a part of the Data Science Blogathon. Dialogue Summarization: Its types and methodology Image cc: Aseem Srivastava. The post Dialogue Summarization: A Deep Learning Approach appeared first on Analytics Vidhya.
Alation
FEBRUARY 18, 2021
Mitesh Shah, VP of product marketing: Before we jump into what’s new with Alation 2021.1, can you talk about what it means for Alation to be a platform? Junaid Saiyed, SVP of Engineering at Alation: I’m happy to. Alation has evolved a great deal since pioneering the data catalog category. Initially, Alation was a solution that made it dramatically easier to find, understand, and trust data.
The Data Administration Newsletter
FEBRUARY 17, 2021
“…quite simply, the better and more accessible the data is, the better the decisions you will make.” – “When Bad Data Happens to Good Companies,” (environmentalleader.com) The Business Impact of an organization’s Bad Data can cost up to 25% of the company’s Revenue (Ovum Research) Bad Data Costs the US healthcare $314 Billion. (IT Business […].
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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.
Dataversity
FEBRUARY 18, 2021
Click to learn more about author Bill Scudder. Operating technology (OT) and information technology (IT) share a common goal of driving new value and successes for enterprises, but their tactics, perspectives, and priorities for accomplishing those goals have historically differed. However, for organizations in capital-intensive industries, the acceleration of Industry 4.0 is creating a dramatically […].
Analytics Vidhya
FEBRUARY 18, 2021
ArticleVideos This article was published as a part of the Data Science Blogathon. Photo by Max Fischer from Pexels Machine learning is used. The post A Simple Machine Learning Implementation to Predict Linear Algebra in Python appeared first on Analytics Vidhya.
DataRobot
FEBRUARY 17, 2021
As host of the DataRobot More Intelligent Tomorrow podcast , I’m constantly impressed and delighted by the fascinating people that I have a chance to talk to. Recently, I had a long conversation with Ashley Russell, who has the stately title of Strategic Performance Management Coordinator for the U.S. Army, where she reports to the Undersecretary of the Army on mission-critical data analytics.
The Data Administration Newsletter
FEBRUARY 16, 2021
Data supply chains in pharma and life sciences are generally long and complex. They typically involve multiple business units, both inside and outside a given enterprise. This impacts reference data in particular because its management is very distributed, leading to the increased need for downstream integration as well as overall redundancy. Although it might seem […].
Speaker: Kevin Kai Wong, President of Emergent Energy Solutions
In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.
Dataversity
FEBRUARY 19, 2021
Click to learn more about author Thomas Rosinski. COVID-19 forced a massive, disruptive change in the pace of business. A sudden and across-the-board shift to digital services hardened an IT culture around speed, efficiency, and rapid growth — capitalizing on trends that had already been at work for years and were given a sudden jolt […]. The post The Three Trends Defining Business Transformations and Success in 2021 appeared first on DATAVERSITY.
Analytics Vidhya
FEBRUARY 18, 2021
ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction Medical Imaging plays an important role in modern medicine. It. The post A Gentle Introduction to AI for Medical Imaging appeared first on Analytics Vidhya.
Tableau
FEBRUARY 17, 2021
Kristin Adderson. February 17, 2021 - 7:09pm. February 17, 2021. Data visualization is a collaborative exercise. Sometimes help comes from unexpected places. As James Madison University (JMU) prepared for Fall 2020 classes, freshman parent and Tableau Partner, Lee Feinberg, volunteered to help improve the school’s Stop The Spread dashboard. JMU’s commitment to data transparency, through both university- and self-reported cases, has contributed to more than 540,000 views of its COVID-19 dashboard
The Data Administration Newsletter
FEBRUARY 17, 2021
2020 was the kind of year that would make anyone in the predictions business more than a little gun shy. I certainly didn’t have “global pandemic” on my 2020 bingo card. And, even if I somehow did, I would never have coupled that with a “booming stock market” and median SaaS price/revenue multiples in the […].
Speaker: Anne Steiner and David Laribee
As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.
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