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 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.).
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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?
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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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
AUGUST 25, 2019
Overview Interpretable machine learning is a critical concept every data scientist should be aware of How can you build interpretable machine learning models? This. The post Decoding the Black Box: An Important Introduction to Interpretable Machine Learning Models in Python 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.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Eugene Yan
AUGUST 24, 2019
Moving off wordpress and hosting for free on GitHub. And gaining full customization!
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.
KDnuggets
AUGUST 29, 2019
With the pervasive important of NLP in so many of today's applications of deep learning, find out how advanced translation techniques can be further enhanced by transformers and attention mechanisms.
Dataconomy
AUGUST 27, 2019
For over the last decade, some of the most successful companies on earth have made their riches by mining user data and selling it to advertisers. The big question is whether this will continue to be a sustainable business model with the ever-mounting scrutiny on data privacy and if not. The post Data Monetization in a Pro-Privacy World appeared first on Dataconomy.
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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.
Smart Data Collective
AUGUST 27, 2019
Are you startled by the rise of cyberattacks globally ? Well, your business is not immune to these attacks, and you should never be complacent with your existing security measures. There is a need to employ professionals to handle the security aspect of your business. Some of the people that will give high-level ideas on your security systems include data scientists, ethical hackers, and IT professionals.
Analytics Vidhya
AUGUST 28, 2019
Overview Did you know you can work with image data using machine learning techniques? Deep learning models are the flavor of the month, but. The post 3 Beginner-Friendly Techniques to Extract Features from Image Data using Python appeared first on Analytics Vidhya.
KDnuggets
AUGUST 30, 2019
Let’s take a look on what R users are saying about their salaries. Note that the following results could be biased because of unrepresentative and in some cases small samples.
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.
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 29, 2019
Big data has been at the forefront of the design industry for years. A number of companies have written detailed articles on the utilization of data visualization with graphics. However, big data can be effective in more rudimentary designs as well. There are a lot of effective ways to use big data to make better designs. Many modern design tools rely on sophisticated machine learning algorithms.
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 ).
KDnuggets
AUGUST 30, 2019
Emoji is becoming a global language understandable by anyone who expresses. emotion. With the pervasiveness of these little Unicode blocks, we can perform analytics on their use throughout social media to gain insight into sentiments around the world.
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: 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.
Smart Data Collective
AUGUST 27, 2019
Artificial intelligence (AI) serves up a number of assets and benefits for many industries. AI is one of the most discussed topics today, from chatbots to Siri and Alexa. And AI is not a trend. Research has shown that the number of consumers using AI powered virtual assistants will be in the billions in the coming years. There are tons of applications for artificial intelligence available, especially when it comes to banking.
DataRobot
AUGUST 26, 2019
Background on Robotic Process Automation. The term “robotic process automation” ( RPA ) emerged as a marketing term around 2010. RPA focuses on the user interface (UI) levels of applications to automate processes and is highly dependent on both screen scraping and workflow automation. Rather than being dependent on code, as is required for screen scraping, RPA software allows users to establish automation and manage workflows using drag-and-drop features in a visual way that eliminates the requi
KDnuggets
AUGUST 27, 2019
Despite the increasing demand and appetite for experienced data scientists, the job is ambiguously described most of the times. Also, the delineation between data science and data analytics or engineering is still loosely defined by a lot of hiring managers.
KDnuggets
AUGUST 27, 2019
With substantial changes coming with TensorFlow 2.0, and the release candidate version now available, learn more in this guide about the major updates and how to get started on the machine learning platform.
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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.
KDnuggets
AUGUST 30, 2019
Implement some of the core OOP principles in a machine learning context by building your own Scikit-learn-like estimator, and making it better.
KDnuggets
AUGUST 27, 2019
Recently, AI researchers from IBM open sourced AI Explainability 360, a new toolkit of state-of-the-art algorithms that support the interpretability and explainability of machine learning models.
KDnuggets
AUGUST 28, 2019
New KDnuggets poll asks 1) What Data Science/Machine Learning-related skills you currently have, and 2) Which skills you want to add or improve? If you are human, please vote and we will analyze and publish the results.
KDnuggets
AUGUST 26, 2019
Over the past few years, artificial intelligence continues to be one of the hottest topics. And in order to work effectively with it, you need to understand its constituent parts.
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.
KDnuggets
AUGUST 29, 2019
Techniques for creating new features, detecting outliers, handling imbalanced data, and impute missing values.
KDnuggets
AUGUST 26, 2019
Learn how probabilistic data structures and algorithms can be used for cardinality estimation in Big Data streams.
KDnuggets
AUGUST 26, 2019
Here are some ways you can make the case to your boss that analytics investments are smart for your company to pursue.
KDnuggets
AUGUST 28, 2019
Human pose estimation refers to the process of inferring poses in an image. Essentially, it entails predicting the positions of a person’s joints in an image or video. This problem is also sometimes referred to as the localization of human joints.
Speaker: Anne Steiner and David Laribee
As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.
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