Analytics Vidhya
JULY 22, 2020
Overview Get an overview of PyTorch and TensorFlow Learn to build a Convolutional Neural Network (CNN) model in PyTorch to solve an Image Classification. The post How to Train an Image Classification Model in PyTorch and TensorFlow appeared first on Analytics Vidhya.
erwin
JULY 22, 2020
Fostering organizational support for a data-driven culture might require a change in the organization’s culture. But how? Recently, I co-hosted a webinar with our client E.ON , a global energy company that reinvented how it conducts business from branding to customer engagement – with data as the conduit. There’s no doubt E.ON, based in Essen, Germany, has established one of the most comprehensive and successful data governance programs in modern business.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Analytics Vidhya
JULY 22, 2020
Overview Get familiar with class imbalance Understand various techniques to treat imbalanced classes such as- Random under-sampling Random over-sampling NearMiss You can check the. The post 10 Techniques to deal with Imbalanced Classes in Machine Learning appeared first on Analytics Vidhya.
Business Over Broadway
JULY 22, 2020
A recent survey by Kaggle revealed that data professionals used a variety of different algorithms, tools, frameworks and products to extract insights. Top algorithms were linear/logistic regression, decision trees/random forests and Gradient Boosting Machines. Top frameworks were Scikit-learn and TensorFlow. Top tools for automation were related to model selection and data augmentation.
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.
Analytics Vidhya
JULY 22, 2020
Overview As the size of the NLP model increases into the hundreds of billions of parameters, so does the importance of being able to. The post MobileBERT: BERT for Resource-Limited Devices appeared first on Analytics Vidhya.
Bruno Aziza
JULY 22, 2020
The demand for responsible investing initiatives, that integrate environmental, social and governance (ESG) factors into analysis and decision making, have seen a remarkable rise over the past several years.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
CDW Research Hub
JULY 22, 2020
Adoption of all-flash storage is on the rise. According to the report Data Storage Trends in 2020 and Beyond by Spiceworks, a branding solution for tech buyers, 18% of businesses use all-flash storage today, and an additional 14% will use this storage technology by 2022. A few examples may help to explain why. When IT teams need to deploy VDI, all-flash storage array accelerates database workloads.
TreehouseTechGroup
JULY 22, 2020
Data mining for business analytics is the process of extracting valuable information from a vast amount of available corporate or consumer data. Businesses are generating huge amounts of data from various applications, IT systems, and databases. They say that data in most organizations is currently doubling every two years. This data may be stored on.
Sisense
JULY 22, 2020
Blog. Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data. Ashley Kramer is our new chief product and marketing officer. She began her career as a software engineering manager at NASA, worked at Oracle, Amazon, and elsewhere before moving to Alteryx, serving as senior vice president of product.
Andrew White
JULY 22, 2020
Click here for an interactive PDF to connect to the notes directly. Wow, what a week that was! We saw 9 brand new entries into the top 20 most-read pieces of research across data and analytics excluding branded content such as Magic Quadrants. James Richardson’s new note, What If More People Could Ask “What If?” — Providing Tools to Support Scenario Thinking , went right into top spot.
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.
Jet Global
JULY 22, 2020
In a recent study by BPM Partners, 54% of respondents identified more frequent forecasting as an area of increased importance as a result of the current global economic conditions. So what’s stopping organizations from planning at a pace that best suits their business? In this complimentary CPE webinar, Craig Schiff, President & CEO, BPM Partners and Tim Caudill, Tidemark expert, will review common barriers to imitating a continuous planning process, how to overcome these, and what to
Data Virtualization
JULY 22, 2020
In this post, I’m going to cover: How different data virtualization products interpret “data virtualization” differently The 5 unique characteristics of true data virtualization products Where the alternatives to data virtualization solutions underperform Data virtualization has outgrown its infancy. Many.
The Unofficial Google Data Science Blog
JULY 22, 2020
by ALEXANDER WAKIM Ramp-up and multi-armed bandits (MAB) are common strategies in online controlled experiments (OCE). These strategies involve changing assignment weights during an experiment. However, if one changes assignment weights when there are time-based confounders, then ignoring this complexity can lead to biased inference in an OCE. In the case of MABs, ignoring this complexity can also lead to poor total reward, making it counterproductive towards its intended purpose.
Jet Global
JULY 22, 2020
Big data, artificial intelligence (AI), distributed cloud computing, mobile devices, and the Internet of Things inundate companies with more information than ever before in history. Companies that leverage that information intelligently have a distinct competitive advantage over those that do not. A recent survey conducted by NewVantage Partners showed that 97.2 percent of the executives who responded are actively investing in big data and AI to fuel insights.
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.
Sisense
JULY 22, 2020
Blog. We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways organizations tackle the challenges of this new world to help their companies and their customers thrive. In a world of proliferating data, every company is becoming a data company.
Jet Global
JULY 22, 2020
Big data, artificial intelligence (AI), distributed cloud computing, mobile devices, and the Internet of Things inundate companies with more information than ever before in history. Companies that leverage that information intelligently have a distinct competitive advantage over those that do not. A recent survey conducted by NewVantage Partners showed that 97.2 percent of the executives who responded are actively investing in big data and AI to fuel insights.
Expert insights. Personalized for you.
400 
Let's personalize your content