Analytics Vidhya
APRIL 16, 2019
Introduction I’m a big fan of R – it’s no secret. I have relied on it since my days of learning statistics back in. The post 8 Useful R Packages for Data Science You Aren’t Using (But Should!) 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.
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.
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.
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
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.
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.
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?”.
Eugene Yan
APRIL 29, 2019
No, you don't need a PhD or 10+ years of experience.
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.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
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
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 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
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.
Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
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.
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.
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.
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.
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
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.
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.
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.
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.
Speaker: Nikhil Joshi, Founder & President of Snic Solutions
Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.
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.
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 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.
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.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.
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.
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
Smart Data Collective
APRIL 12, 2019
Cloud technology is starting to have a major impact on the communications sector. Klaris Chua, a cloud communications expert, wrote a detailed overview of the trends in cloud communications in Martech Advisor. Most of her discussions focused on the implications of cloud solutions for email and interconnected apps. However, there is a growing demand for cloud VoIP services too.
Analytics Vidhya
APRIL 28, 2019
Introduction Have you ever been stuck at work while a pulsating cricket match was going on? You need to meet a deadline but you. The post Learn how to Build and Deploy a Chatbot in Minutes using Rasa (IPL Case Study!) appeared first on Analytics Vidhya.
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