Analytics Vidhya
AUGUST 19, 2019
Overview Presenting 10 powerful and innovative Python tricks and tips for data science This list of Python tricks contains use cases from our daily. The post 10 Powerful Python Tricks for Data Science you Need to Try Today appeared first on Analytics Vidhya.
KDnuggets
AUGUST 23, 2019
Entirely implemented with NumPy, this extensive tutorial provides a detailed review of neural networks followed by guided code for creating one from scratch with computational graphs.
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Dataconomy
AUGUST 24, 2019
Technology is driving a major revolution in patient care. These days, wearable devices and healthcare applications on smartphones are putting the power into patients’ hands, allowing them to be more involved in their healthcare and in improving their overall health and wellness. At the same time, robots are now making. The post How will AI Change Healthcare?
Hacker News
AUGUST 7, 2019
Incessantly annoying and fraudulent robocalls. Corrupt wireless company employees taking hundreds of thousands of dollars in bribes to unlock and hijack mobile phone service. Wireless providers selling real-time customer location data, despite repeated promises to the contrary. A noticeable uptick in SIM-swapping attacks that lead to multi-million dollar cyberheists.
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.
Eugene Yan
AUGUST 3, 2019
OMSCS CS6440 (Intro to Health Informatics) - A primer on key tech and standards in healthtech.
Data Science 101
AUGUST 31, 2019
The competition site Kaggle has recently released some micro-courses aimed at helping people to quickly learn the skills of data science. It is called Kaggle Learn, Faster Data Science Education. It includes courses on: Python Deep Learning SQL and more. Check them out to quickly get up to speed. Happy Learning.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
KDnuggets
AUGUST 16, 2019
As a data scientist, you are in high demand. So, how can you increase your marketability even more? Check out these current trends in skills most desired by employers in 2019.
Dataconomy
AUGUST 21, 2019
How will micromobility change the way we travel from point “A” to “B”? How will micromobility co-exist with the traditional models of transportation? What is the importance of network effects in micromobility? Kristin Dolgner, a marketing and communications professional at BCG Digital Ventures based in Berlin had an eventful week.
Smart Data Collective
AUGUST 7, 2019
Big data has the power to transform any small business. However, many small businesses don’t know how to utilize it. One study found that 77% of small businesses don’t even have a big data strategy. If your company lacks a big data strategy, then you need to start developing one today. The best thing that you can do is find some data analytics tools to solve your most pressing challenges.
DataRobot Blog
AUGUST 27, 2019
by Jen Underwood. Bots here, there, everywhere. All around the world, RPA bots are actively automating busywork. The hot RPA market is growing at a compound annual growth rate of 65%. In 2018, Read More.
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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?
Eugene Yan
AUGUST 24, 2019
Moving off wordpress and hosting for free on GitHub. And gaining full customization!
Analytics Vidhya
AUGUST 5, 2019
Overview Evaluating a model is a core part of building an effective machine learning model There are several evaluation metrics, like confusion matrix, cross-validation, The post 11 Important Model Evaluation Metrics for Machine Learning Everyone should know appeared first on Analytics Vidhya.
KDnuggets
AUGUST 8, 2019
Graph Machine Learning uses the network structure of the underlying data to improve predictive outcomes. Learn how to use this modern machine learning method to solve challenges with connected data.
Dataconomy
AUGUST 9, 2019
When considering the growth and productivity of organizations in different fields, it doesn’t take too much time to see a pattern on how maintenance strategies are common throughout all consistently thriving operations. Predictive maintenance is amongst the most impactful of strategy plans because it centers itself on forecasting issues before. The post Which Industries Reap The Biggest Benefits From Predictive Maintenance And Why appeared first on Dataconomy.
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.
Smart Data Collective
AUGUST 2, 2019
Your corporation might collect thousands of data points on your global customers, or your local business might simply maintain and regularly update an email list of your most interested buyers. Whether you fall into one of these extremes or somewhere in the middle, you’re responsible for collecting and maintaining consumer data. And these days, that data privacy matters more than ever before.
Victor Zhou
AUGUST 2, 2019
I use a lot of SVG s in my blog posts. They’re great for simple diagrams or illustrations, like this one: From my Neural Networks From Scratch Series. I use Inkscape , a free and open-source vector graphics editor, to make my SVGs. In the beginning, I just saved my SVGs using the default Inkscape format, something called Inkscape SVG. That turned out to be not ideal… Let’s use this SVG of a circle as an example: Here’s the Inkscape SVG markup for that laughably-simple icon: <?
DataCentric podcast
AUGUST 29, 2019
What's the secret of Pure Storage's success? Having pushed the industry into the All-Flash era, they now find themselves growing 30%/year and landing alone as the only storage vendor showing growth in this quarter's round of earnings. Pure Storage CEO Charlie Giancarlo joins the DataCentric podcast to talk about both what's behind Pure's current success, and how he envisions a future where "data" is a utility.
Analytics Vidhya
AUGUST 1, 2019
Overview Looking for machine learning projects to do right now? Here are 7 wide-ranging GitHub projects to try out These projects cover multiple machine. The post 7 Innovative Machine Learning GitHub Projects you Should Try Out 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.
KDnuggets
AUGUST 12, 2019
Check out this list of NLP researchers, practitioners and innovators you should be following, including academics, practitioners, developers, entrepreneurs, and more.
Dataconomy
AUGUST 28, 2019
In an increasingly competitive market, how are fintech companies adapting to improve their decision making? In industries such as insurance, capital markets, cryptocurrency, wealth and asset management — alternative data is proving to be a valuable source of insight. Like a broken leaf to a hunter or a change of. The post Alternative Data Meets Fintech: Tweets, Parking Lot Pictures and Criminal Take-downs appeared first on Dataconomy.
Smart Data Collective
AUGUST 21, 2019
Setting up a business is probably the most difficult part of every entrepreneur’s journey. It requires dedication, contemplation, a lot of effort, and a bit of foresight. Once you build it from the ground up, you should know that your work doesn’t stop there. On the contrary, the moment you start settling in, you need to do some thinking again. You might wonder why that is necessary.
Victor Zhou
AUGUST 26, 2019
Donald Knuth once famously said: The real problem is that programmers have spent far too much time worrying about efficiency in the wrong places and at the wrong times; premature optimization is the root of all evil (or at least most of it) in programming. Here’s my story of learning to avoid premature optimization the hard way… GeoArena Online A few years ago, I was working on a web game called GeoArena Online (I’ve since sold it , and the new owners rebranded to geoarena.io ).
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.
Shreyansh Singh
AUGUST 25, 2019
The Capture the Flag event for Codefest’19 was hosted from 8 pm, 23rd August 2019 to 12 noon, 24th August 2019 on Hackerrank. The contest link can be found here. There were a total of 1532 registrations and 518 people who were successful in solving atleast one challenge. So, onto the writeups. Welcome to Codefest 19! (Intro Challenge — 100pts) This was the introductory challenge.
Analytics Vidhya
AUGUST 6, 2019
Overview Real-time object detection is taking the computer vision industry by storm Here’s a step-by-step introduction to SlimYOLOv3, the latest real-time object detection framework. The post A Friendly Introduction to Real-Time Object Detection using the Powerful SlimYOLOv3 Framework appeared first on Analytics Vidhya.
KDnuggets
AUGUST 29, 2019
The sample data used for training has to be as close a representation of the real scenario as possible. There are many factors that can bias a sample from the beginning and those reasons differ from each domain (i.e. business, security, medical, education etc.).
Dataconomy
AUGUST 15, 2019
Banking as a Service (BaaS) is the democratisation of financial capabilities that have fiercely been protected, isolated and hidden in silos for hundreds of years by banks. The fact that BaaS opens up banks’ capabilities and essentially empowers anyone to be able to create their own financial products, goes against. The post The Layman’s Guide to Banking as a Service appeared first on Dataconomy.
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.
Smart Data Collective
AUGUST 8, 2019
Big data is the lynchpin of new advances in cybersecurity. Unfortunately, predictive analytics and machine learning technology is a double-edged sword for cybersecurity. Hackers are also exploiting this technology, which means that there is a virtual arms race between cybersecurity companies and black hat cybercriminals. Datanami has talked about the ways that hackers use big data to coordinate attacks.
DataRobot Blog
AUGUST 23, 2019
A few months ago, DataRobot simulated the Championships at Wimbledon to predict who would win. After following the fortnight of tennis, we anxiously watched the women’s and men’s finals. In the women’s finals, we watched our DataRobot model’s favorite, Serena Williams (odds of winning 22%) handily fall to our model’s fifth favorite, Simona Halep (6%).
Explosion
AUGUST 20, 2019
In this new video series, data science instructor Vincent Warmerdam gets started with spaCy, an open-source library for Natural Language Processing in Python. His mission: building a system to automatically detect programming languages in large volumes of text.
Analytics Vidhya
AUGUST 18, 2019
Overview K-Means Clustering is a simple yet powerful algorithm in data science There are a plethora of real-world applications of K-Means Clustering (a few. The post The Most Comprehensive Guide to K-Means Clustering You’ll Ever Need appeared first on Analytics Vidhya.
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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.
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