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.
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.
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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?
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.
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.
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.
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.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
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 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.
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.
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.
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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?
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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 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.
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.
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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.
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.
KDnuggets
NOVEMBER 12, 2019
In this guide, we’ll look at papers aimed at solving the problems of depth estimation using deep learning.
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 14, 2019
Let’s take a look at traditional testing methodologies and how we can apply these to our data/ML pipelines.
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.
KDnuggets
NOVEMBER 14, 2019
During this free Metis Corporate Training webinar, Dec 5 @ 12pm ET, Kerstin Frailey, Senior Data Scientist and Head of Executive Corporate Training at Metis, will walk through what you need to ask before, during, and after the lifetime of a data science project to accurately assess its impact on the business.
KDnuggets
NOVEMBER 15, 2019
Spoiler: you don’t need a VM running 24/7 to handle 16 requests a day.
KDnuggets
NOVEMBER 13, 2019
Whether you’re a beginner or an expert, there’s always new ways you can improve your Python coding. Save 40% off this trio of Manning Python books today! Just enter the code nlpropython40 at checkout when you buy from manning.com.
KDnuggets
NOVEMBER 13, 2019
On KDnuggets this week: Orchestrating Dynamic Reports in Python and R with Rmd Files; How to Create a Vocabulary for NLP Tasks in Python; What is Data Science?; The Complete Data Science LinkedIn Profile Guide; Set Operations Applied to Pandas DataFrames; and much, much more.
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.
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