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.
KDnuggets
DECEMBER 12, 2019
Python's plotting libraries such as matplotlib and seaborn does allow the user to create elegant graphics as well, but lack of a standardized syntax for implementing the grammar of graphics compared to the simple, readable and layering approach of ggplot2 in R makes it more difficult to implement in Python.
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Dataconomy
DECEMBER 12, 2019
The year 2019 will be remembered in the software world as the year when containerization, cloud native architectures, and Machine Learning broke out into the mainstream. As we approach the end of the decade, it’s time to look forward to the year 2020 and make some predictions about where these. The post Automated Knowledge in 2020: What to expect from AI & Machine Learning appeared first on Dataconomy.
Data Science 101
DECEMBER 12, 2019
It is Computer Science Education Week and in 2019 Machine Learning and Artificial Intelligence are two of the most popular and influential topics in technology. That is why I was so excited when Code.org launched a training specifically aimed at the topics. It is called AI for Oceans and it is geared for children (or really anyone, I had fun with it and so did my children).
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.
Analytics Vidhya
DECEMBER 11, 2019
Overview Streaming data is a thriving concept in the machine learning space Learn how to use a machine learning model (such as logistic regression). The post How to use a Machine Learning Model to Make Predictions on Streaming Data using PySpark appeared first on Analytics Vidhya.
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.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
DataRobot
DECEMBER 12, 2019
Back in 2012, Harvard Business Review called data scientists “the sexiest job of the 21st century.” That may or may not be true, but I do believe that one of the hardest jobs in the latter half of this decade is that of the executive responsible for developing and implementing AI strategy in the enterprise. It’s a difficult job for a number of reasons.
Analytics Vidhya
DECEMBER 8, 2019
Overview Feature engineering is a skill every data scientist should know how to perform, especially in the case of time series We’ll discuss 6. The post 6 Powerful Feature Engineering Techniques For Time Series Data (using Python) appeared first on Analytics Vidhya.
KDnuggets
DECEMBER 13, 2019
We show how to build intuitive and useful pipelines with Pandas DataFrame using a wonderful little library called pdpipe.
Data Science 101
DECEMBER 11, 2019
This weeks guest post comes from KDD (Knowledge Discovery and Data Mining). Every year they host an excellent and influential conference focusing on many areas of data science. Honestly, KDD has been promoting data science way before data science was even cool. 1989 to be exact. They have opened a call for papers for the 2020 conference. The details are below.
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.
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”.
Analytics Vidhya
DECEMBER 9, 2019
Overview Game Theory can be incredibly helpful for decision making in competitive scenarios Understand the concept of Normal Form Games in the context of. The post Game Theory 101: Decision Making in a Competitive Scenario using Normal Form Games appeared first on Analytics Vidhya.
KDnuggets
DECEMBER 9, 2019
The field of Data Science is growing with new capabilities and reach into every industry. With digital transformations occurring in organizations around the world, 2019 included trends of more companies leveraging more data to make better decisions. Check out these next trends in Data Science expected to take off in 2020.
Smart Data Collective
DECEMBER 13, 2019
Big data is seamlessly woven into the business models of every industry across the globe. In 2017, big data adoption across all sectors reached 53%. More recent data is likely to show that figure has risen even further. The appeal of big data technology in the corporate world is readily apparent. Some of the benefits of big data are more obvious than others.
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
DataRobot
DECEMBER 9, 2019
You’ve probably seen amazing AI news headlines such as: AI can predict earthquakes. Using just a single heartbeat, an AI achieved 100% accuracy predicting congestive heart failure. A new marketing model is promising to increase the response rate tenfold. It all seems too good to be true. But as the modern proverb says, "If it seems too good to be true, it probably is.".
Data Science 101
DECEMBER 9, 2019
In case you don’t have time or the patience to read the entire post, Cloud Data Science News – Beta #5 ; you can watch the quick 60 second overview. Tons of machine learning news out of Amazon AWS. If you would like to get the updates as a weekly email, you sign up for the Newsletter.
KDnuggets
DECEMBER 9, 2019
Here are four common hurdles that need to be overcome before tapping into the benefits of predictive maintenance.
Smart Data Collective
DECEMBER 13, 2019
Warren Buffet warns that cybercrime is “the number one problem with mankind,” and given the high number of data breaches that occurred in 2019, data-centric security should be at the forefront of everybody’s (and every business’) mind. What is Data-Centric Cybersecurity? With the increasing amount of highly-sensitive data that companies handle today, data-centric security practices have eclipsed those that came before.
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.
DataRobot
DECEMBER 7, 2019
This blog provides a unique take on using machine learning to predict free agent signings in the off-season. MLB’s Hot Stove season has begun and several big contracts have already been handed out to Zack Wheeler, Yasmani Grandal, Will Smith, and more. However, over 90% of this year’s free agent class remains unsigned, including the big three of Gerritt Cole, Stephen Strasburg, and Anthony Rendon.
Alation
DECEMBER 11, 2019
Hundreds of data sources. Hundreds (even thousands) of data consumers. Millions of datasets. Gone are the days when static metadata repositories and manual curation were enough (if they ever really were). To keep up with the rapid influx of data, the many disparate data environments, and the rise in self-service analytics users, enterprises need an […].
KDnuggets
DECEMBER 9, 2019
The new model showed great improvements over the previous AlphaZero agent.
Smart Data Collective
DECEMBER 7, 2019
Big data is essential to the modern website management field. There are a number of great ways to use big data to create stellar websites. Most of these topics focus on the benefits of using big data to create better aesthetics and front-end designs. However, there are a lot of benefits to choosing the right web hosting provider, which is also affected by big data.
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?
DataCentric podcast
DECEMBER 9, 2019
Amazon's massive AWS ReInvent Conference is nearly overwhelming in its breadth and scope, with dozens of announcements spanning numerous areas, from ARM to AI to on-premises Outpost. Moor Insights & Strategy senior analysts Matt Kimball & Steve McDowell help clear the path and talk about what the sum of it all really means to IT, as well as the rest of the technology industry.
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, […].
KDnuggets
DECEMBER 11, 2019
We asked leading experts - what are the most important developments of 2019 and 2020 key trends in AI, Analytics, Machine Learning, Data Science, and Deep Learning? This blog focuses mainly on technology and deployment.
Smart Data Collective
DECEMBER 13, 2019
In 2016, Forbes published an insightful post on the importance of big data in the legal profession. Author Bernard Marr presents a very good point about the growing body of data in the legal profession and the impact that it is having on the way lawyers do their jobs. There are over a third of a million legal cases in the United States every single year.
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
DataRobot Blog
DECEMBER 7, 2019
This blog provides a unique take on using machine learning to predict free agent signings in the off-season. MLB’s Hot Stove season has begun and several big contracts have already been handed out to Zack Wheeler, Yasmani Grandal, Will Smith, and more. However, over 90% of this year’s free agent class remains unsigned, including the big three of Gerritt Cole, Stephen Strasburg, and Anthony Rendon.
Depends on the Definition
DECEMBER 9, 2019
You maybe know the LIME algorithm from some of my earlier blog posts. It can be quite useful to “debug” data sets and understand machine learning models better. But LIME is fooled very easily.
KDnuggets
DECEMBER 11, 2019
Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer.
Smart Data Collective
DECEMBER 12, 2019
Big data is making the life of a consumer easier. Consumers can find new opportunities to save money by using advanced research tools, which rely heavily on big data. It isn’t always clear which deals are best. Fortunately, there are a number of big data tools that make it easier to analyze them. One of the ways customers are benefiting from big data is by finding the best broadband deals.
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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