Analytics Vidhya
APRIL 25, 2019
Introduction We are currently in the midst of a global fitness revolution. Most of the people I know are geeking out over the latest. The post How I Built Animated Plots in R to Analyze my Fitness Data (and you can too!) appeared first on Analytics Vidhya.
Dataconomy
APRIL 24, 2019
What are the fears around data while exploring potential use cases to demonstrate the value for the ‘smart citizen’? Here is a look. With The United Nations reporting that two-thirds (68%) of the world’s population are expected to live in cities by 2050, scientists are seeking new and innovative ways. The post Are citizens prepared for the data implications of smart cities?
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
DataRobot Blog
APRIL 22, 2019
by Jen Underwood. So many buzzwords, so much confusion. Automated analytics, artificial intelligence (AI)-driven BI, and automated machine learning (AutoML), aren’t these terms describing the exact same thing? NO. Although these technologies may. Read More.
Data Science 101
APRIL 26, 2019
While it is not one of the popular programming languages for data science, The Go Programming Language (aka Golang) has surfaced for me a few times in the past few years as an option for data science. I decided to do some searching and find some conclusions about whether golang is a good choice for data science. Popularity of Go and Data Science. As the following figure from Google Trends demonstrates, golang and data science became trendy topics at about the same time and grew at a similar rate
Advertisement
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
APRIL 21, 2019
Introduction I was intrigued going through this amazing article on building a multi-label image classification model last week. The data scientist in me started. The post Predicting Movie Genres using NLP – An Awesome Introduction to Multi-Label Classification appeared first on Analytics Vidhya.
Smart Data Collective
APRIL 22, 2019
. When you’re presenting data analytics or any technical information to a non-technical audience, it can be difficult. You have to think about the components of a good presentation in general, but also how to simplify complex subjects and information and make them resonate with your target audience. If you’re someone who understands data analytics well or is highly technical, it can be especially challenging to know how to make your presentation work for the needs of an audience which is differ
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Data Science 101
APRIL 23, 2019
Microsoft Azure has an abundance of data science capabilities (and non-data science capabilities). It can be challenging to keep up with the latest updates/releases. Luckily, Azure has a page to let you know exactly what has changed. You just need to know where to find it, and the following video will help you find that page. Also, if you are still interested in earning a Microsoft Data Science Certification , join the Study Group.
Analytics Vidhya
APRIL 24, 2019
Introduction How do computer vision techniques work in an industry setting? How does an organization use data engineering to scale up its operations? These. The post DataHack Radio #22: Exploring Computer Vision and Data Engineering with Dat Tran appeared first on Analytics Vidhya.
Smart Data Collective
APRIL 24, 2019
Manufacturing is a more powerful and essential part of our industries and economies than ever. But setting these vital enterprises up for maximum success and unrivaled innovation takes information — and that means gathering data. If you represent a manufacturing concern and you’re wondering about the benefits of capturing and analyzing operational data , you’ve come to the right place.
DataRobot
APRIL 23, 2019
In this Data Scientist Spotlight, you’re going to meet Sergey Yurgenson , the Director of Advanced Data Science Services at DataRobot. Sergey is a Kaggle Grandmaster who was named one of the top ten Kaggle data scientists in 2012. He has been with DataRobot since the early days and has a lot of insight and experience to share.
Advertisement
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.
Victor Zhou
APRIL 25, 2019
2022 Update : thank you all for tremendous support this guide has received! I’ve modernized some of the code and content in this post. Happy developing ? When Agar.io came out in 2015, it inspired a new.io game genre that has since exploded in popularity. I experienced the rise of.io games firsthand: I’ve built and sold 2.io games in the past 3 years.
Dataconomy
APRIL 24, 2019
No longer considered the “future of work,” AI is infiltrating industries and job roles at impactful rates. Across the U.S. economy, one-third of the U.S. workers are interacting with some form of AI in their jobs today – even if many of these interactions are still in a limited capacity. The post AI Jobs Disruption – Why the U.S. Financial Services Industry is Different appeared first on Dataconomy.
Smart Data Collective
APRIL 23, 2019
Influencers are rapidly transforming the digital marketing landscape. Nearly two out of five plan to increase their influencer marketing budgets substantially in the coming year. Only 7% of respondents in a recent poll spent less than $10,000 on influencer marketing. However, many brands are still struggling to cultivate their ideal influencer marketing strategy.
Tableau
APRIL 25, 2019
Spencer Czapiewski. April 25, 2019 - 5:58pm. December 17, 2021. By T ri Tu. Senior Director, Solution Engineering, Embedded Analytics. . We live in an increasingly data-driven world. With data everywhere in our lives, the expectation and the need to access meaningful information when making business decisions has only grown—and your applications are no exception.
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.
Smart Data Collective
APRIL 20, 2019
Many people believe that digital media is rapidly replacing traditional forms of branding. They believe that advances in big data have made business cards, brochures and direct mail marketing obsolete. Nothing could be further from the truth. We previously published an article on the state of direct mail marketing. We showed that marketers are actually using big data to improve the performance of their direct mail marketing campaigns.
Smart Data Collective
APRIL 23, 2019
The combination of technologies used to create and run web applications varies in complexity, scalability, and latency. The technology stack you should user to power your web application depends on a variety of factors. Here’s a rundown of each type of tech your web app needs to work , and what to consider before beginning development. How web development works.
Smart Data Collective
APRIL 24, 2019
Big data is changing the nature of email marketing. Although data analytics has played a vital role in split-testing campaign variables, there are other benefits as well. One way that big data is helping in email marketing is improving team collaboration. New tools have made it easier for teams to coordinate with each other on their email marketing strategies.
Smart Data Collective
APRIL 20, 2019
Big data is playing a massive role in the formation of new technologies. New developments in data science have contributed to the release of a number of popular Android apps on the market. To the average Android user, big data is an invisible factor. However, it is the foundation of almost every app on their phone. It is important to evaluate its significance.
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.
Smart Data Collective
APRIL 23, 2019
Big data is playing a vital role in productivity optimization in virtually every industry. Countless new tools rely on big data to streamline productivity. Big Data Makes Productivity Technology a Thing of the Future. Assuming you have a solid business model in place, your team’s productivity will correlate closely with your overall success. Productive teams are able to get more done every day.
Smart Data Collective
APRIL 24, 2019
Big data is playing an essential role in authentication. This will become a greater concern than ever, as security risks mount. Kaushik Pal wrote an insightful article on user authentication in Technopedia a couple of years ago. The importance of user authentication has risen since that article was first published. Experts are now discussing the role of multi-factor authentication solutions.
Tableau
APRIL 25, 2019
Spencer Czapiewski. April 25, 2019 - 5:58pm. December 17, 2021. By T ri Tu. Senior Director, Solution Engineering, Embedded Analytics. . We live in an increasingly data-driven world. With data everywhere in our lives, the expectation and the need to access meaningful information when making business decisions has only grown—and your applications are no exception.
Expert insights. Personalized for you.
303 
Let's personalize your content