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.

Artificial Intelligence 306

Artificial Intelligence Artificial Intelligence AI AI 306

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.

Python 304

Python Data Preparation 304

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?

186

186

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.

Machine Learning 97

Machine Learning Machine Learning ML ML 97

Advertisement

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?

AI

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.

Analytics 82

Analytics Analytics Clustering Big Data 82

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 260

Analytics Analytics 260

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.

Cloud Data 96

Cloud Data Data Science Azure AWS 96

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.

Data Science 82

Data Science Artificial Intelligence Artificial Intelligence AI 82

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.

Data Science 232

Data Science Data Scientist 232

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.

Big Data 81

Big Data Big Data Predictive Analytics Analytics 81

Advertisement

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.

Database

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.

Cloud Data 95

Cloud Data Data Science Azure Clustering 95

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.

Predictive Analytics 61

Predictive Analytics Analytics Analytics Artificial Intelligence 61

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.

Deep Learning 224

Deep Learning Deep Learning Machine Learning Machine Learning 224

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.

Big Data 80

Big Data Big Data AI AI 80

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.

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.

Deep Learning 58

Deep Learning Deep Learning ML ML 58

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.

Azure 40

Azure 40

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.

Algorithm 219

Algorithm 219

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.

Predictive Analytics 78

Predictive Analytics Analytics Analytics Algorithm 78

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.

Data Science

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.

AI 18

AI AI 18

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.

Machine Learning 218

Machine Learning Machine Learning Supervised Learning Clustering 218

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.

Python 212

Python Data Visualization Data Science 212

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.

Artificial Intelligence 210

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 210

Advertisement

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.

Analytics

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.

Python 214

Python 214

KDnuggets

NOVEMBER 12, 2019

In this guide, we’ll look at papers aimed at solving the problems of depth estimation using deep learning.

Deep Learning 237

Deep Learning Deep Learning 237

KDnuggets

NOVEMBER 14, 2019

Let’s take a look at traditional testing methodologies and how we can apply these to our data/ML pipelines.

Machine Learning 218

Machine Learning Machine Learning ML ML 218

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.

Machine Learning 207

Machine Learning Machine Learning 207

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.

Analytics

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.

Python 141

Python Computer Science Computer Science 141

KDnuggets

NOVEMBER 15, 2019

Spoiler: you don’t need a VM running 24/7 to handle 16 requests a day.

Machine Learning 224

Machine Learning Machine Learning 224

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.

Data Scientist 138

Data Scientist Data Science AI AI 138

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.

Data Science 120

Data Science Python Deep Learning Deep Learning 120

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.