Analytics Vidhya
DECEMBER 10, 2019
Overview The rise of artificial intelligence (AI) has disrupted many industries in recent years One of the most impacted industries – retail! Retail operations. The post 10 Exciting Real-World Applications of AI in Retail appeared first on Analytics Vidhya.
O'Reilly on Data
DECEMBER 10, 2019
Roughly a year ago, we wrote “ What machine learning means for software development.” In that article, we talked about Andrej Karpathy’s concept of Software 2.0. Karpathy argues that we’re at the beginning of a profound change in the way software is developed. Up until now, we’ve built systems by carefully and painstakingly telling systems exactly what to do, instruction by instruction.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Corinium
DECEMBER 10, 2019
Navigating A Digital World.
KDnuggets
DECEMBER 10, 2019
From not sweating missing values, to determining feature importance for any estimator, to support for stacking, and a new plotting API, here are 5 new features of the latest release of Scikit-learn which deserve your attention.
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.
Depict Data Studio
DECEMBER 10, 2019
You eavesdrop too, right? It’s hard to avoid. I overheard a conversation at a conference lunch table recently. It went something like this: Smart, hardworking person #1: I love the idea of using data to drive decisions, but spreadsheets can be such a drag. It takes forever to finish all the monthly reports that my organization is required to submit.
KDnuggets
DECEMBER 10, 2019
One of the biggest highlights of Grafana is the ability to bring several data sources together in one dashboard with adding rows that will host individual panels. Let's look at installing, configuring, and creating our first dashboard using Grafana.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
DataCamp
DECEMBER 10, 2019
The definitive guide to help you become a data engineer.
Jet Global
DECEMBER 10, 2019
Michael Schaub is an accounting professor at Texas A&M University specializing in accounting ethics and professional skepticism in auditors. He is a CPA and spent time as an auditor for a large public company before he began his academic career 30 years ago. We spoke with Schaub about the evolution of accounting ethics, the importance of technology, and the opportunities (and obstacles) facing today’s CFOs. .
KDnuggets
DECEMBER 10, 2019
Graph machine learning is a developing area of research that brings many complexities. One challenge that both fascinates and infuriates those working with graph algorithms is — scalability. We take a close look at scalability for graph machine learning methods covering what it is, what makes it difficult, and an example of a method that tackles it head-on.
Octopai
DECEMBER 10, 2019
According to the Chinese Zodiac, 2020 is the year of the rat. Well, scoot over Templeton, because it’s also going to be the year of the Automated Business Glossary for business intelligence and data governance teams everywhere. Let’s look at why: Companies need to utilize shared data to make informed decisions, but when data is sent from one department to another there is always the risk of miscommunication.
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.
KDnuggets
DECEMBER 10, 2019
This blog will explain the basics of deploying a machine learning algorithm, focusing on developing a Naïve Bayes model for spam message identification, and using Flask to create an API for that model.
Alation
DECEMBER 10, 2019
Data and analytics leaders, like Chief Data Officers, are increasingly tasked with harnessing data to move the business forward. They need to create a data culture where more people are empowered to make data-driven decisions and create new opportunities. At the same time, data leaders need to ensure that the use of data is well-governed, […].
IBM Big Data Hub
DECEMBER 10, 2019
At IBM Cloud Pak for Data, we’ve got a growing ecosystem of technology partners. As an open, Kubernetes-based, data and AI platform, we integrate with an array of tech solutions that enhance what we do to help companies make their data AI-ready. From stepping up data security to empowering developers to iterate faster, our joint solutions lay the data foundation to infuse AI across the organization.
KDnuggets
DECEMBER 10, 2019
Also: 10 Free Must-read Books on AI; Data Science for Managers: Programming Languages; The Complete Data Science LinkedIn Profile Guide.
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.
3AG Systems
DECEMBER 10, 2019
Placeholder for upcoming visual.
DataRobot
DECEMBER 10, 2019
Gartner just named hyperautomation as one of its Top 10 Strategic Technology Trends for 2020. This makes it a trend that “enterprises need to consider” as part of their technology plans and which will have a “profound impact on people…across industries and geographies, with significant potential for disruption”.
Dataiku
DECEMBER 10, 2019
Ever wanted to know more about the people behind your favorite Enterprise AI platform? You're in luck - every few weeks, meet one of the humans at Dataiku working every day to ensure customers and users find success on their path to Enterprise AI.
FineReport
DECEMBER 10, 2019
Why We Need Data Cleaning?. Data analysis is a time-consuming task, but are you prepared before the data analysis, and have you omitted the important step: data cleaning? From Google. In the process of data analysis, data cleaning is such a preliminary preparation after data extraction. For data scientists, we will encounter all kinds of data. Before analyzing, we need to invest a lot of time and energy to “organize and trim” the data to the way we want or need.
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.
Decision Management Solutions
DECEMBER 10, 2019
AI proves its worth, but few scale impact. As you might expect, the survey shows that “Respondents from these AI high performers report that they achieve greater scale and see both higher revenue increases and greater cost decreases than other companies that use AI”. The article lists various core practices that scale AI and compares leaders’ adoption of those practices with everyone else.
Smarten
DECEMBER 10, 2019
Clickless Analytics with Natural Language Processing Search Analytics! We all understand the value and innovation inherent in natural language processing (NLP). Think about the ease of searching for the answer to a question on Google. Users with average skills can ask a question and get an answer, a list of search results that address their interests and support and assistance to take the next step.
Expert insights. Personalized for you.
292 
Let's personalize your content