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 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).
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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?
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 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.
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.
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 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 11, 2019
In 2013, Wired published a very interesting article about the role of big data in the field of integrated business systems. Author James Kobielus, the lead AI and data analyst for Wikibon and former IBM expert, said that there are a number of ways that integrated business systems are tapping the potential of AI and big data. -Kobielus points out that every vertical is finding ways to use big data to improve its competitive advantages.
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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.
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.
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 13, 2019
We show how to build intuitive and useful pipelines with Pandas DataFrame using a wonderful little library called pdpipe.
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: 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.
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 […].
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.
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
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: 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.
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, […].
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.
KDnuggets
DECEMBER 12, 2019
The speed at which AI made advancements and news during 2019 makes it imperative now to step back and place these events into order and perspective. It's important to separate the interest that any one advancement initially attracts, from its actual gravity and its consequential influence on the field. This review unfolds the parallel threads of these AI stories over this year and isolates their significance.
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.
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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.
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.
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.
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 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: 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.
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.
KDnuggets
DECEMBER 9, 2019
As we say goodbye to one year and look forward to another, KDnuggets has once again solicited opinions from numerous research & technology experts as to the most important developments of 2019 and their 2020 key trend predictions.
KDnuggets
DECEMBER 11, 2019
The second part in a series on leveraging techniques to take a look inside the black box of AI, this guide considers post-hoc interpretation that is useful when the model is not transparent.
KDnuggets
DECEMBER 13, 2019
What is "ultralearning" and how can you follow the strategy to become an expert of data science? Start with this first part in a series that will guide you through this self-motivated methodology to help you efficiently master difficult skills.
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.
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