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?
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Hacker News
APRIL 14, 2019
Anyone who built software for a while knows that estimating how long something is going to take is hard. It’s hard to come up with an unbiased estimate of how long something will take, when fundamentally the work in itself is about solving something. One pet theory I’ve had for a really long time, is that some of this is really just a statistical artifact.
Smart Data Collective
APRIL 16, 2019
According to a UN study, 55% of the total world population is living in cities and by the year 2050, this figure could rise to a whopping 68%. The modern world is increasingly urbanized and megacities are rising faster than ever before, especially in Asian and African countries. The report highlighted that , at the present rate of development, there will be 43 megacities by 2030 and New Delhi is set to surpass Tokyo, which is currently the world’s largest city.
Speaker: Tamara Fingerlin, Developer Advocate
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
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
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Dataconomy
APRIL 15, 2019
Much like other industries struggling to stay afloat in the stormy waters of the global economy, the shipping industry is seeking its own transformation after years of overcapacity and tumbling freight rates. Generating more revenues oftentimes depends on undercutting competitors’ prices, accepting lower margins and even tolerating losses on certain.
Eugene Yan
APRIL 29, 2019
No, you don't need a PhD or 10+ years of experience.
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
DataRobot
APRIL 10, 2019
For a company that has a laser-like focus on delighting its customers, Velocity--the frequent flyer program of Virgin Australia--is constantly looking for new ways to improve members’ experience. CEO Karl Schuster and his team were constantly asking themselves, “How can we serve customers the best and most relevant offers that will deliver the most value for them?”.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
Data Science 101
APRIL 12, 2019
LinkedIn’s 2017 report had put Data Scientist as the second fastest growing profession and it’s number one on 2019’s list of most promising jobs. There are three main reasons why data science has been rated as a top job according to research. Firstly, the number of available job openings is rapidly increasing and the highest in comparison to other jobs, data science has an extremely high job satisfaction rating, and the median annual salary base is undeniably desirable.
Analytics Vidhya
APRIL 7, 2019
Introduction Can you guess what’s common among all the faces in this image? None of these people are real! These faces were generated by. The post Top 5 Interesting Applications of GANs for Every Machine Learning Enthusiast! appeared first on Analytics Vidhya.
Dataconomy
APRIL 11, 2019
Organizations implementing AI have increased by 270 per cent over the last four years, according to a recent survey by Gartner. Even though the implementation of AI is a growing trend, 63 per cent of organizations haven’t deployed this technology. What is holding them back: cost, talent shortage? For many. The post How can you be AI ready? appeared first on Dataconomy.
DataRobot Blog
APRIL 11, 2019
by Jen Underwood. Where descriptive analytics reveals what has happened in the past, prescriptive analytics delivers insight into optimizing future decisions. As data-driven organizations mature, they will begin to apply prescriptive analytics. This. Read More.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
Smart Data Collective
APRIL 10, 2019
As technology progresses, more companies are producing huge amounts of data as a by-product of their day-to-day operations. While I’m not one to claim that “most businesses are practically drowning” in a sea of data, it’s fair to say that companies wanting a long future had better start taking Big Data seriously. To put this in perspective, many pundits in the field predicted a few years back that Big Data will double in size every couple of years until 2020.
DataRobot
APRIL 12, 2019
This week, two U.S. senators have introduced a bill that would require large companies and specialist data traders to assess and manage the risks associated with automated decision systems.
Data Science 101
APRIL 27, 2019
An enlightening video about how a single pixel change can fool a neural network. The entire Two Minute Papers Youtube Channel is full of similar videos about other papers in AI.
Analytics Vidhya
APRIL 17, 2019
Introduction I have always been fascinated with games. The seemingly infinite options available to perform an action under a tight timeline – it’s a. The post A Hands-On Introduction to Deep Q-Learning using OpenAI Gym in Python appeared first on Analytics Vidhya.
Speaker: Frank Taliano
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
Dataconomy
APRIL 4, 2019
Data has never been more relevant for understanding consumer behavior. With data scientists in high demand and earning six figures or more a year, this is undeniable. Technology is changing the way that consumers think and behave. By creating experiences that align with consumer demands, business leaders can create profits. The post This Is Your Brain on Data: Marketing in the New Digital Age appeared first on Dataconomy.
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.
Smart Data Collective
APRIL 2, 2019
Cloud technology has had a profound impact on the web hosting profession. It is driven largely by advances in big data. Since big data has revolutionized the web hosting industry, a myriad of new hosting options are available. How is Big Data Affecting the Future of Big Data? The sudden emergence of big data is changing the nature of web hosting in two significant ways: Companies need more extensive hosting solutions to ensure they have adequate storage.
DataRobot
APRIL 22, 2019
We’re happy to announce the new V4 release of our popular DataRobot tools for Alteryx. We’ve taken the feedback from hundreds of customers and partners to incorporate even more robust functionality into the connectors.
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
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 14, 2019
Introduction Are you working with image data? There are so many things we can do using computer vision algorithms: Object detection Image segmentation Image. The post Build your First Multi-Label Image Classification Model in Python appeared first on Analytics Vidhya.
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.
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.
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
Smart Data Collective
APRIL 12, 2019
Big data is frequently used to enhance social media marketing campaigns. However, data analytics can be just as important for customer retention. Social media has been central to customer service strategies for the past few years. However, some brands are taking a shot in the dark with it. They have found that more effective data analytics technology has made it easier for them to optimize customer service processes through social media.
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.
Data Science 101
APRIL 29, 2019
Here is the latest data science news for the week of April 29, 2019. From Data Science 101. The Go Programming Language for Data Science Quick Video Tutorial for Find Updates in Azure Two-Minute Papers, One Pixel attack on NN. General Data Science. How to Go into Data Science – tons of Q&A for becoming a data scientist Uber submits Hudi to the Apache Software Foundation – Open source project providing stream processing for big data 3 Awesome Visuals with Python Code -Categorical
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.
Speaker: Tamara Fingerlin, Developer Advocate
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
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