Analytics Vidhya
DECEMBER 15, 2019
Overview Neural fake news (fake news generated by AI) can be a huge issue for our society This article discusses different Natural Language Processing. The post An Exhaustive Guide to Detecting and Fighting Neural Fake News using NLP appeared first on Analytics Vidhya.
KDnuggets
DECEMBER 19, 2019
The third part in a series on leveraging techniques to take a look inside the black box of AI, this guide considers methods that try to explain each prediction instead of establishing a global explanation.
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Dataconomy
DECEMBER 19, 2019
A sneak-peek into a few AI trends we picked for you from Data Natives 2019 – Europe’s coolest Data Science gathering. We are about to enter 2020, a new decade in which Artificial Intelligence is expected to dominate almost all aspects of our lives- the way we live, the way. The post Picks on AI trends from Data Natives 2019 appeared first on Dataconomy.
Data Science 101
DECEMBER 14, 2019
The fine folks at Microsoft have put together an excellent Single Page Cheatsheet for Azure Machine Learning Algorithms. It is very helpful for Azure, but it is also helpful for understanding when and why to use a particular algorithm. Microsoft’s Azure Machine Learning Algorithm Cheat Sheet. Start in the large blue box, “What do you want to do?
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 18, 2019
Overview Check out our pick of the 30 most challenging open-source data science projects you should try in 2020 We cover a broad range. The post 30 Challenging Open Source Data Science Projects to Ace in 2020 appeared first on Analytics Vidhya.
KDnuggets
DECEMBER 18, 2019
Ready to try to get hired as a data scientist for the first time? Avoiding these common mistakes won’t guarantee an offer, but not avoiding them is a sure fire way for your application to be tossed into the trash bin.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Smart Data Collective
DECEMBER 14, 2019
Predictive analytics is one of the biggest disruptive technologies shaping the eCommerce industry. IQLECT published an article on this last year titled The Importance of Predictive Analytics for E-commerce Stores. The article pointed out that companies have lagged implementing predictive analytics technology, due to cost and complexity concerns. However, this has changed as new AI technology has become more widely available.
Analytics Vidhya
DECEMBER 17, 2019
Introduction High-quality machine learning and deep learning content – that’s the piece de resistance our community loves. That’s the peg we hang our hat. The post 20 Most Popular Machine Learning and Deep Learning Articles on Analytics Vidhya in 2019 appeared first on Analytics Vidhya.
KDnuggets
DECEMBER 18, 2019
Marketing scientist Kevin Gray asks Dr. Anna Farzindar of the University of Southern California about Automatic Text Summarization and the various ways it is used.
Eugene Yan
DECEMBER 14, 2019
OMSCS CS6200 (Introduction to OS) - Moving data from one process to another, multi-threaded.
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 20, 2019
We recently concluded our AI Experience roadshow with a special regional session in Lapland. We have been lucky to hear from an impressive lineup of generous customer speakers globally. Lapland was no exception. One such customer is the lesser known and famously discreet Santa’s Workshop, a global private philanthropic conglomerate, with vast operations in manufacturing, consumer packaged goods, and logistics.
Analytics Vidhya
DECEMBER 16, 2019
Introduction NeurIPS is THE premier machine learning conference in the world. No other research conference attracts a crowd of 6000+ people in one place. The post Decoding the Best Machine Learning Papers from NeurIPS 2019 appeared first on Analytics Vidhya.
KDnuggets
DECEMBER 19, 2019
Over the years new alternative providers have risen to provided a solitary data science environment hosted on the cloud for data scientist to analyze, host and share their work.
Smart Data Collective
DECEMBER 14, 2019
Providing excellent customer service needs to be a priority for every business. Think of your customer service department as the personality of your brand. It is also the reason why people will choose your products and services on a repeated basis. It is quite simple really, with no customers, there is no company. The path that consumers travel on to make a purchase, is called the “customer journey.
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 17, 2019
There is a saying in science and statistics, “ Correlation does not imply causation.” While records of this phrase go back to the 1880s, it has become more popular and widely used since the 1990s. The phrase cautions against concluding that one event causes another based solely upon observed data, without the use of rigorously designed experiments. For example, the chart below shows the historical relationship between the number of Japanese cars sold in the USA versus the number of suicides caus
Data Science 101
DECEMBER 18, 2019
Following the creation and massive popularity of the internet and all things digital, it became clear to many that data was soon to be the way of the future. Historically, our use of data could provide us with information that would influence decisions but required extensive work to collect, track, and interpret. With the introduction to modern digital data during the 21st century, the power of our computers and technology has broadened the accessibility of data collection, tracking, and interpr
KDnuggets
DECEMBER 20, 2019
Google has started offering a new service for “explainable AI” or XAI, as it is fashionably called. Presently offered tools are modest, but the intent is in the right direction.
Smart Data Collective
DECEMBER 20, 2019
Big data is changing the role of the digital marketing profession. Companies can use big data to improve the effectiveness of their ad targeting, streamlining the user experience and measure the ROI better. Nicole Martin talked about the relevance of big data in digital marketing in her Forbes article. Smart businesses should make sure that their digital marketing agency knows how to leverage big data effectively.
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 Blog
DECEMBER 19, 2019
by Jen Underwood. 2010. What was hot and what was not? From what I can remember, in-memory analytics, mobile BI, OLAP cubes and easier to use drag-and-drop analytics tools got all the buzz. Read More.
Data Science 101
DECEMBER 17, 2019
If the full blog post, Cloud Data Science News, Beta #6 was too long for you. Here is the 60 second video which runs through the important news for you.
KDnuggets
DECEMBER 16, 2019
Predictions for 2020 from a dozen innovative companies in AI, Analytics, Machine Learning, Data Science, and Data industry.
Smart Data Collective
DECEMBER 19, 2019
Yes, it’s AI again! Artificial Intelligence (AI) is always in the limelight from the last couple of years. Mostly it is considered as a blessing to the IT world. However, many experts have shown their doubtfulness too. No, you just can’t say “Ok Boomer” here! Of course, they have greater reasons i.e. a threat to data security. So, AI is on whose side?
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?
ML Review
DECEMBER 16, 2019
If you still had any doubts — it’s time to admit. Machine Learning on Graphs becomes a first-class citizen at AI conferences while being not that mysterious as you might have imagined ?. Let’s check out the goodies brought by NeurIPS 2019 and co-located events! Graphs were well represented at the conference. The main venue alone had more than 100 graph-related publications, and even more were available at three workshops: Graph Representation Learning (about 100 more papers), Knowledge Represent
Data Science 101
DECEMBER 20, 2019
The year is coming to an end. The Christmas/Hanukkah/New Years/Holiday season is upon us. Thus, the announcements are pretty slow and will probably continue for the next couple weeks. However, there are still a few cloud data science announcements to highlight. News. Microsoft SandDance v2 This is a very neat tool for visualizing and exploring your data.
KDnuggets
DECEMBER 17, 2019
Check out this step by step approach to building an intelligent chatbot in Python.
Smart Data Collective
DECEMBER 20, 2019
As the Internet of Things (IoT) becomes smarter and more advanced, we’ve started to see its usage grow across various industries. From retail and commerce to manufacturing, the technology continues to do some pretty amazing things in nearly every sector. The civil engineering field is no exception. An estimated 20 billion internet-connected devices will be active around the world by 2020.
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
Shreyansh Singh
DECEMBER 14, 2019
This was a very fun CTF. Kudos to the organizers. I loved the problems, very interesting as well as challenging. I played this CTF with my team, Abs0lut3Pwn4g3. Our final rank was 54th. Rev Challeneges Timeout File: timeout The binary is unstripped, so we can easily see the main function. The disassembly looks something like this. The functions, signal , alarm and delay all serve the same purpose, basically to either exit the program or delay its execution for a long time.
Data Science 101
DECEMBER 16, 2019
Wow, the last two weeks were taken over by the flurry of announcements from Amazon. Even though Amazon is taking a break from announcements (probably focusing on Christmas shoppers), there are still some updates in the cloud data science world. Here they are. News. Google AutoML for Natural Language goes GA Extracting meaning from text is still a challenging and important task faced by many organizations.
KDnuggets
DECEMBER 20, 2019
By the end of this article you’ll know which technologies are becoming more popular with employers and which are becoming less popular.
Smart Data Collective
DECEMBER 18, 2019
Fraud has been an ongoing problem for quite some time now. Our technology may have become more sophisticated but so are criminals. It feels more secure now that we have several modes of verification but it’s still unsettling to see news of big companies like Facebook or Yahoo getting their data compromised. Fraud is not a small problem. The global cost of it is $4.2 trillion.
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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