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.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
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.
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.
Advertisement
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 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.
Eugene Yan
DECEMBER 14, 2019
OMSCS CS6200 (Introduction to OS) - Moving data from one process to another, multi-threaded.
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 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.
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
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.
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.
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.
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.
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.
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.
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 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.
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.
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.
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.
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 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.
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.
Advertisement
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.
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.
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 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.
Explosion
DECEMBER 17, 2019
Custom UI blocks, text input UI, better training and data conversion
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.
Smart Data Collective
DECEMBER 16, 2019
We live in a digital era where every business aspect revolves around technology, making IT systems the core of modern-day operations. Primarily, the role that IT systems play begins and ends with data, which is the constant input and output of computerized devices. It is therefore not surprising that the current trend for businesses is to seek solutions for big data adoption and usage.
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 16, 2019
Predictions for 2020 from a dozen innovative companies in AI, Analytics, Machine Learning, Data Science, and Data industry.
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: 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.
Expert insights. Personalized for you.
398 
Let's personalize your content