KDnuggets
NOVEMBER 12, 2019
While Pandas is the library for data processing in Python, it isn't really built for speed. Learn more about the new library, Modin, developed to distribute Pandas' computation to speedup your data prep.
Analytics Vidhya
NOVEMBER 13, 2019
Overview Apple’s Core ML 3 is a perfect segway for developers and programmers to get into the AI ecosystem You can build machine learning. The post Introduction to Apple’s Core ML 3 – Build Deep Learning Models for the iPhone (with code) appeared first on Analytics Vidhya.
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Dataconomy
NOVEMBER 14, 2019
In an increasingly always-on, connected world, it’s easy to assume that everyone reaps the benefits of technological advances. Unfortunately, technology has not changed the fact that the rich continue to get richer, while the poor get exploited. The technology revolution in the healthcare field is big business. Care providers and. The post Does Digital Health Discriminate Against Low Socioeconomic Groups?
Smart Data Collective
NOVEMBER 12, 2019
Did you know there are over 3.5 billion Facebook users? Social media has become the best way to market your brand when you want to reach specific audiences. There are 50,000 or more new posts on Instagram every day, and nearly 500,000 Tweets a day. So how are all these brands becoming so visible overnight? They are using data to target new and previous customers.
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
NOVEMBER 11, 2019
A primary advantage of data analytics tools is that they can handle massive quantities of information at once. These solutions typically learn what's normal within a collection of information and how to spot anomalies.
Analytics Vidhya
NOVEMBER 10, 2019
Overview What is Game Theory? And how does it apply to artificial intelligence (AI)? Game theory for AI is a fascinating concept that we. The post Game (Theory) for AI? An Illustrated Guide for Everyone 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
NOVEMBER 15, 2019
Big data is changing the future of SEO in countless ways. All ecommerce companies need to look for ways to utilize big data to make the most of their SEO strategies, because organic search is essential to their success. The Overwhelming Importance of Big Data in SEO of eCommerce Companies. Big data has created a paradox for the SEO community. Although Google is becoming a lot stricter with its algorithms, smart marketers are finding better ways to implement SEO strategies with data analytics.
KDnuggets
NOVEMBER 12, 2019
In this guide, we’ll look at papers aimed at solving the problems of depth estimation using deep learning.
Data Science 101
NOVEMBER 14, 2019
Last week at Microsoft Ignite 2019, Microsoft Research announced the release of Project Silica. This is an amazing new technology to store data on a piece of glass. I was lucky enough to get the opportunity to sit down with Antony Rowstron , Deputy Lab Director at Microsoft Research, and ask him all my questions. An interview with Project Silica Researcher, Ant Rowstron.
DataRobot
NOVEMBER 11, 2019
This Veterans Day, DataRobot is shining a spotlight on some of the ways that AI could have a major impact on the veteran community in the next few years.
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.
Smart Data Collective
NOVEMBER 12, 2019
The CBD industry is growing at an astounding rate. So fast, in fact, that some companies are struggling to keep up with demand. And new companies are cropping up daily to get in on this brand new billion-dollar industry. But as the market becomes flooded with online outlets, it is essential for new companies to make proper use of the highly valuable resources that big data and artificial intelligence can offer.
KDnuggets
NOVEMBER 13, 2019
While the revolution of deep learning now impacts our daily lives, these networks are expensive. Approaches in transfer learning promise to ease this burden by enabling the re-use of trained models -- and this hands-on tutorial will walk you through a transfer learning technique you can run on your laptop.
Data Science 101
NOVEMBER 15, 2019
Here are this weeks major announcements and news for doing data science in the cloud. Microsoft Azure. Microsoft and Salesforce form Partnership While not just for data science, this is big news. Azure has become the cloud provider for the Salesforce marketing cloud. GitHub Actions for Azure go GA GitHub actions can now deploy databases and fire off pipelines in Azure Announcing FarmBeats All about using AI and ML on the farm.
DataRobot
NOVEMBER 14, 2019
Competition throughout the financial markets is becoming more intense and top-line growth is becoming more challenging than ever to achieve. The high volume of market data makes searching for hidden patterns and developing forward-looking predictive models unruly, cumbersome, and slow using traditional methods and technologies. How can financial firms overcome these obstacles and remain competitive?
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
Smart Data Collective
NOVEMBER 14, 2019
The digital gaming industry has undergone jolting changes over the past decade, as more organizations are looking towards data driven solutions. Gaming organizations have started to use big data to develop a deeper understanding of target customers. They have refined their data decision-making approaches to include new predictive analytics models to forecast trends and adapt to evolving customer behavior.
KDnuggets
NOVEMBER 15, 2019
In Python, lists store an ordered collection of items which can be of different types. This post is an overview of lists and their manipulation.
Data Science 101
NOVEMBER 11, 2019
Welcome to the first beta edition of Cloud Data Science News. This will cover major announcements and news for doing data science in the cloud. If the first few are well received, this will become a weekly segment. Microsoft Azure. Azure Arc You can now run Azure services anywhere (on-prem, on the edge, any cloud) you can run Kubernetes. Azure Synapse Analytics This is the future of data warehousing.
DataRobot Blog
NOVEMBER 12, 2019
by Jen Underwood. Why didn’t I think of that? Sometimes we get caught up in our day-to-day lives and don’t stop to see if we are solving the right, bigger picture problems. That’s. Read More.
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.
Smart Data Collective
NOVEMBER 10, 2019
Predictive analytics is essential in modern email threat prevention. The IEEE created a report titled Identifying Email Threats Using Predictive Analytics , which shed a lot of light on this complicated issue. How is Predictive Analytics Revamping Email Security? Securing your email and other communication mediums from unauthorized access and threats is a priority more than ever.
KDnuggets
NOVEMBER 11, 2019
With so many Data Scientists showing up on LinkedIn, it's time to make sure your profile is top-notch because your talent is still highly sought after. Recruitment specialists want to find you fast, and this guide will help you create the best profile to feature your expertise.
DataCentric podcast
NOVEMBER 13, 2019
It's been a busy few weeks as the fall conference season hits its stride. In this episode, Moor Insights & Strategy analysts Matt Kimball and Steve McDowell talk about it all: Microsoft Ignite, VMworld Europe, NVIDIA GTC DC announcements. There's also chip news as AMD delivers a stellar quarter, Intel has a benchmark oops (and then recovers), and lots of discussion of ARM and Edge.
DataRobot
NOVEMBER 15, 2019
Heraclitus, a Greek philosopher who lived 2,500 years ago, is credited with saying, “Change is the only constant.” Similarly, in 1789, Benjamin Franklin wrote, “In this world nothing can be said to be certain, except death and taxes.” This blog is about how we sometimes forget these two ideas when using artificial intelligence systems.
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?
Smart Data Collective
NOVEMBER 14, 2019
The subscription-based business model is no longer the preserve of magazines and home security systems. Today, we’re seeing it employed in a variety of other markets, including everything from software to education to physical products. In order for these operations to be profitable and sustainable, however, they require constant optimization. If you get the right data in hand, it becomes a lot easier to know which direction to take.
KDnuggets
NOVEMBER 13, 2019
The following article is an introduction to classification and regression — which are known as supervised learning — and unsupervised learning — which in the context of machine learning applications often refers to clustering — and will include a walkthrough in the popular python library scikit-learn.
KDnuggets
NOVEMBER 14, 2019
Producing accessible data visualizations is a key data science skill. The following guidelines will help you create the best representations of your data using R and Python's Pandas library.
KDnuggets
NOVEMBER 15, 2019
Spoiler: you don’t need a VM running 24/7 to handle 16 requests a day.
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
NOVEMBER 14, 2019
This article provides covers how to automatically identify the topics within a corpus of textual data by using unsupervised topic modelling, and then apply a supervised classification algorithm to assign topic labels to each textual document by using the result of the previous step as target labels.
KDnuggets
NOVEMBER 14, 2019
Let’s take a look at traditional testing methodologies and how we can apply these to our data/ML pipelines.
KDnuggets
NOVEMBER 13, 2019
Check out this author's collection of tips and tricks that I learned over the years to get better at Machine Learning.
KDnuggets
NOVEMBER 15, 2019
With artificial intelligence and machine learning now a mainstay of our daily awareness, news organizations have been seen to overstate the reality behind progress in the field. Learn more about recent examples of media hyperbole and explore why this may be happening.
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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