Analytics Vidhya
AUGUST 27, 2019
Overview Here’s a list of the most important Natural Language Processing (NLP) frameworks you need to know in the last two years From Google. The post A Complete List of Important Natural Language Processing Frameworks you should Know (NLP Infographic) 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?
Eugene Yan
AUGUST 3, 2019
OMSCS CS6440 (Intro to Health Informatics) - A primer on key tech and standards in healthtech.
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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?
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.
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.
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.
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.
Eugene Yan
AUGUST 24, 2019
Moving off wordpress and hosting for free on GitHub. And gaining full customization!
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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.
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: <?
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 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: 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
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.
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.
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 ).
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.
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.
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 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 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.
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.
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.
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%).
Analytics Vidhya
AUGUST 21, 2019
Overview Effectively translating business requirements to a data-driven solution is key to the success of your data science project Hear from a data science. The post How can you Convert a Business Problem into a Data Problem? A Successful Data Science Leader’s Guide appeared first on Analytics Vidhya.
KDnuggets
AUGUST 26, 2019
Visually-displayed data is much more accessible, and it’s criticalto promptly identify the weaknesses of an organization, accurately forecasttrading volumes and sale prices, or make the right business choices.
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: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
Smart Data Collective
AUGUST 15, 2019
No matter what industry you’re in, identifying creative ways to cut costs is always an important goal. From small startups to major corporations, cost-saving tactics should be an important area to explore. Even when your business cost and costs of production aren’t growing exponentially, chances are everything around you is. Cost of living is rising; customer acquisition is more difficult than ever in such a competitive landscape; and suppliers are looking to increase their profits by upcharging
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.
Depends on the Definition
AUGUST 4, 2019
Deep learning models have shown amazing performance in a lot of fields such as autonomous driving, manufacturing, and medicine, to name a few. However, these are fields in which representing model uncertainty is of crucial importance.
Analytics Vidhya
AUGUST 26, 2019
Overview A look at 11 mind-blowing and innovative data visualizations in Python, R, Tableau and D3.js These data visualizations span a variety of real-world. The post 11 Innovative Data Visualizations you Should Learn (in Python, R, Tableau and D3.js) appeared first on Analytics Vidhya.
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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.
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