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.).
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.
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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?
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.
Speaker: Tamara Fingerlin, Developer Advocate
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
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.
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.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
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.
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.
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.
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.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
Eugene Yan
AUGUST 24, 2019
Moving off wordpress and hosting for free on GitHub. And gaining full customization!
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.
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.
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.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
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.
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.
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
Smart Data Collective
AUGUST 29, 2019
The sales profession is responding to major changes brought by big data. The big data revolution is making the sales industry more efficient and effective than ever. In 2019, Forbes contributor Louis Columbus wrote a great article on the ways that big data is changing the sales and marketing profession. His article talked about utilizing big data for everything from customer analytics to optimizing pricing strategies.
Speaker: Frank Taliano
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
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.
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.
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 ).
Smart Data Collective
AUGUST 29, 2019
Today’s technology grants us the power to access information at lightning speeds, communicate with anyone in the world, and store and manage our most important files conveniently. The downside to these massive quality of life improvements is that they leave us vulnerable. If we aren’t careful, powerful corporations and nefarious individuals can get access to the data we most wish to keep private, from our browsing history to our credit card numbers.
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
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.
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 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.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
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.
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 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.
Speaker: Tamara Fingerlin, Developer Advocate
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
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