Analytics Vidhya
APRIL 22, 2020
Overview Python is a superb language for data science but not everyone is a Python expert Here, we present 7 Python hacks that’ll help. The post 7 Python Hacks, Tips and Tricks for Data Science Projects appeared first on Analytics Vidhya.
Smart Data Collective
APRIL 22, 2020
Big data can be a tool, a weapon or a currency. Now, amid the COVID-19 pandemic, big data has become a life-saving ally for the health care community. This moment in history is unlike any other — and the value of data in ending it resembles nothing we’ve yet seen. The following is just a sample of the many ways big data and machine learning are flattening the coronavirus curve, as well as study the disease, mount a sensible public response and reopen our communities, economies and countrie
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Kaggle
APRIL 20, 2020
I participated in the R package recommendation engine competition on Kaggle for two reasons. First, I use R a lot. I cannot learn statistics without R. This competition is my chance to give back to the community a R package recommendation engine. Second, during my day job as an engineer behind a machine learning service in the cloud, product recommendation is one of the most popular applications our early adopters want to use the web service for.
Alation
APRIL 23, 2020
The post Supporting Remote Workers with a Data Catalog in the WFH Era appeared first on Alation.
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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
APRIL 19, 2020
Overview Looking to crack your next deep learning interview? You’ve come to the right place! We have put together a list of popular deep. The post A Comprehensive Guide to 21 Popular Deep Learning Interview Questions and Answers appeared first on Analytics Vidhya.
Smart Data Collective
APRIL 24, 2020
It’s impossible to deny the importance of data in several industries, but that data can get overwhelming if it isn’t properly managed. The problem is that managing and extracting valuable insights from all this data needs exceptional data collecting, which makes data ingestion vital. The following will highlight seven key benefits of proper ingestion. 1.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
DataRobot
APRIL 24, 2020
Current Situation: A Double Black Swan in Supply and Demand. Amidst the global economic turmoil caused by COVID-19, few industries have been hit as hard as the upstream oil and gas industry. Operators have been knocked off course by the double-black swan events of rapidly eroding demand and a glut of supply.
Analytics Vidhya
APRIL 23, 2020
Take the Power of Web Scraping in your Hands The phrase “we have enough data” does not exist in data science parlance. I have. The post 5 Popular Python Libraries to Perform Web Scraping appeared first on Analytics Vidhya.
Smart Data Collective
APRIL 21, 2020
The growth of blockchain and the cryptocurrency space is fascinating. Technical innovations and the rapidly evolving new trading paradigm continue to attract large crowds, but this also includes several scammers. Various cryptocurrencies have created millionaires over the years. They have established themselves as a profitable enterprise for all those who want to invest in the future.
Kaggle
APRIL 21, 2020
Kaggler, deoxy takes first-place and sets the stage for his next competition. Please join us in congratulating Linsho Kaku (aka deoxy ) on his solo first-place win in our Bengali.AI Handwritten Grapheme Classification challenge ! Read the winning solution here: 1st Place Solution with Code Random Ink by Sankarshan Mukhopadhyay @Flickr Let’s meet Linsho!
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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.
DataRobot
APRIL 23, 2020
May You Live In Unprecedented Times. 2020’s word of the year is likely to be “ unprecedented ” — which, from a data science perspective, might make us rather nervous. Machine learning is, after all, the art and science of predicting outcomes of incoming events based on historical data. In a period without precedent, doesn’t this make our historical training data irrelevant?
Analytics Vidhya
APRIL 21, 2020
Why C++ for Machine Learning? The applications of machine learning transcend boundaries and industries so why should we let tools and languages hold us. The post Machine Learning using C++: A Beginner’s Guide to Linear and Logistic Regression appeared first on Analytics Vidhya.
Smart Data Collective
APRIL 20, 2020
With the Coronavirus pandemic, the world has been thrown into complete uncertainty. This goes for nearly everyone, but the energy sector is being greatly impacted by the virus. The industry, from renewables to coal, is being harmed by social distancing and the current situation around quarantine. According to a new study called Global Big Data Analytics in the Energy Sector Market, provides a comprehensive look at the industry.
Kaggle
APRIL 20, 2020
I’m a PhD student of the Machine Learning Group in the University of Waikato, Hamilton, New Zealand. I’m also a part-time software developer for 11ants analytics. My PhD research focuses on meta-learning and the full model selection problem. In 2009 and 2010, I participated the UCSD/FICO data mining contests. What I tried and What ended up working I tried many different algorithms (mainly weka and matlab implementations) and feature sets in nearly 80 submissions.
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.
DeepMind
APRIL 20, 2020
Specification gaming is a behaviour that satisfies the literal specification of an objective without achieving the intended outcome. We have all had experiences with specification gaming, even if not by this name. Readers may have heard the myth of King Midas and the golden touch, in which the king asks that anything he touches be turned to gold - but soon finds that even food and drink turn to metal in his hands.
Analytics Vidhya
APRIL 20, 2020
Overview Excited by the idea of smart cities? You’ll love this tutorial on building your own vehicle detection system We’ll first understand how to. The post Build your own Vehicle Detection Model using OpenCV and Python appeared first on Analytics Vidhya.
Smart Data Collective
APRIL 22, 2020
Big data has turned the software industry on its head. The relationship between software development and big data is a two-way street. While many software developers are looking to create new applications that use big data, they are also using big data to streamline development. Almost every piece of hardware has software running in the back-end and almost every trivial task is handled by software nowadays.
Kaggle
APRIL 20, 2020
I am Yuanchen He, a senior engineer in McAfee lab. I have been working on large data analysis and classification modeling for network security problems. Method Many thanks to Kaggle for setting up this competition. And congratulations to the winners! I enjoyed it and learned a lot from working on this challenging data and reading the winners’ posts.
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.
Twilio Segment
APRIL 23, 2020
Attributing marketing tactics to revenue is a major headache. But not when you use Segment and Dreamdata.
Alation
APRIL 23, 2020
The post The New Normal: Supporting Remote Workers with a Data Catalog appeared first on Alation.
Smart Data Collective
APRIL 20, 2020
Big data has played a very important role in conversion rate optimization. Smart marketers recognize that they need the latest big data tools to entice customers to make purchases. Audrey Throne, an author with Big Data Analytics News, has shared some details about the benefits of big data in conversion rate optimization. She stated that there are seven ways it will impact ecommerce models.
Kaggle
APRIL 20, 2020
Because I have recently started employment with Kaggle, I am not eligible to win any prizes. Which means the prize-winner for this comp is Quan Sun (team ‘student1’)! Congratulations! My approach to this competition was to first analyze the data in Excel pivottables. I looked for groups which had high or low application success rates. In this way, I found a large number of strong predictors — including by date (new years day is a strong predictor, as are applications processed on a Sunday), and
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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.
Twilio Segment
APRIL 19, 2020
If you want to grow in a scalable and profitable way, look beyond customer acquisition.
Machine Learning (Theory)
APRIL 18, 2020
I spent the last month becoming a connoisseur of digital contact tracing approaches since this seems like something where I might be able to help. Many other people have been thinking along similar lines (great), but I also see several misconceptions that even smart and deeply involved people are making. For the following a key distinction to understand is between proximity and location approaches.
Smart Data Collective
APRIL 22, 2020
Big data has created numerous new opportunities in the marketing profession. The benefits machine learning and big data are creating are becoming clearer than ever during this massive pandemic. The harsh reality of today’s COVID-19 pandemic is that it affects everyone. For some, it has led to the tragic loss of their beloved ones. This is one area where big data is becoming more helpful.
DataRobot
APRIL 20, 2020
NHS is among healthcare organizations looking to leverage predictive analytics to manage current and future capacity needs to best serve their entire patient population. Every Single Bed Matters, and Never More So than During a Pandemic. Healthcare organizations are focused on providing the best possible care while managing resources effectively during the best of times.
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.
Smart Data Collective
APRIL 20, 2020
Big data is changing a number of variables for businesses. One of the biggest changes big data has created pertains to invoicing. The Enterprise Project recently talked about three big data case studies. One of these case studies centered around using big data to improve the state of invoicing. “Mathias Golombek, CTO at Exasol, points to invoice processing as a specific example that illuminates the broader possibilities of using AI to automatically extract structured data from unstructured (or n
Smart Data Collective
APRIL 23, 2020
Cyber attacks are increasing in frequency and sophistication. Technology is developing at a breakneck pace. The world is becoming ever-more dependent on the assistance of digital tools and apps to complete business tasks. So it’s no surprise that IT budgets are hard to stick to , even as they continue to expand. For the last four years, a majority of CIOs have reported that their IT budgets rose compared to the year prior.
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