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?
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
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 16, 2019
Once you have deployed your machine learning model into production, differences in real-world data will result in model drift. So, retraining and redeploying will likely be required. In other words, deployment should be treated as a continuous process. This guide defines model drift and how to identify it, and includes approaches to enable model training.
Eugene Yan
DECEMBER 14, 2019
OMSCS CS6200 (Introduction to OS) - Moving data from one process to another, multi-threaded.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
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
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 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 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: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
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.
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.
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.
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: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
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.
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
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 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?
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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.
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.
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.
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 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: Nikhil Joshi, Founder & President of Snic Solutions
Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.
Explosion
DECEMBER 17, 2019
Custom UI blocks, text input UI, better training and data conversion
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.
KDnuggets
DECEMBER 18, 2019
This post is about working with a mixture of color and grayscale images and needing to transform them into a uniform format - all grayscale. We'll be working in Python using the Pillow, Numpy, and Matplotlib packages.
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: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.
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