KDnuggets
SEPTEMBER 24, 2019
Of all data quality characteristics, we consider consistency and accuracy to be the most difficult ones to measure. Here, we describe the challenges that you may encounter and the ways to overcome them.
Analytics Vidhya
SEPTEMBER 24, 2019
Overview Google’s BERT has transformed the Natural Language Processing (NLP) landscape Learn what BERT is, how it works, the seismic impact it has made, The post Demystifying BERT: A Comprehensive Guide to the Groundbreaking NLP Framework appeared first on Analytics Vidhya.
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KDnuggets
SEPTEMBER 24, 2019
Deep Learning is/has become the hottest skill in Data Science at the moment. There is a plethora of articles, courses, technologies, influencers and resources that we can leverage to gain the Deep Learning skills.
Data Science 101
SEPTEMBER 24, 2019
A number of new impactful open source projects have been released lately. Open Source Data Science Projects. Pythia – from Facebook for deep learning with vision and language, “such as answering questions related to visual data and automatically generating image captions “ InterpretML – from Microsoft, ” package for training interpretable models and explaining blackbox systems “ ML framework for Julia – from Alan Turing Institute, MLJ is a machine learni
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.
KDnuggets
SEPTEMBER 24, 2019
How can you keep your machine learning models and data organized so you can collaborate effectively? Discover this new tool set available for better version control designed for the data scientist workflow.
Smart Data Collective
SEPTEMBER 24, 2019
Big data is changing the world in a number of ways. Companies rely on data to deliver efficient services, but they also have to worry about cybersecurity risks. Towards Data Science provided a very detailed guide on the relevance of machine learning to hackers. Hackers use a number of different big data tools to orchestrate more severe attacks. As big data leads to new cybersecurity risks , a growing number of managers are falling victim.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Paul Blogs on BI
SEPTEMBER 24, 2019
Twenty-five years ago on July 13, 1994 I went to see the legendary band, The Eagles, play at the old Tiger Stadium in Detroit. The Tour was called the Hell Freezes Over Tour, since the band had broken up many years before they said they would only ever play together again when hell freezes over! This was also one of the last events to be held at the old Detroit Tigers baseball stadium, since it was about to be demolished and replaced with a new stadium.
Smart Data Collective
SEPTEMBER 24, 2019
Big data is playing a more essential role in website administration than ever before. TechRepublic points out that it is important for content management. However, it is also ideal for user experience optimization, marketing and much more. The market for big data is growing 41% over the next few years. This is largely due to the need for big data in website management and marketing, as well as advances in AI.
IBM Big Data Hub
SEPTEMBER 24, 2019
68 percent of surveyed businesses recently responded that they use machine learning (ML) or plan to do so in the next three years. AI technologies rapidly are becoming how businesses distinguish themselves from competitors. But choosing the best way to implement AI isn’t always a straightforward process.
Smart Data Collective
SEPTEMBER 24, 2019
Artificial intelligence has been the basis of robotics for several decades. However, early AI technology was not well-suited for solving the countless challenges robots needed to solve. Robots were often programmed with simple algorithms that were made in BASIC or Cobol. They couldn’t adapt, unless the programmers developed more sophisticated artificial intelligence programs to manage them.
Speaker: David Bard, Principal at VP Product Coaching
In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.
KDnuggets
SEPTEMBER 24, 2019
AI World Conference & Expo has become the industry’s largest independent business event focused on the state of the practice of AI in the enterprise. Join us in Boston, Oct 23-25. Use the discount code 1968-KDN and SAVE $200.
Smart Data Collective
SEPTEMBER 24, 2019
Big data is changing the way that we live and work. There are a number of ways that big data technology has made the workforce more efficient and fragmented. A growing number of people are turning to remote work to make a living, which is making it easier for companies to reach a larger workplace around the globe. Big Data Creates Surprising Opportunities in the Remote Workforce.
IBM Big Data Hub
SEPTEMBER 24, 2019
68 percent of surveyed businesses recently responded that they use machine learning (ML) or plan to do so in the next three years. AI technologies rapidly are becoming how businesses distinguish themselves from competitors. But choosing the best way to implement AI isn’t always a straightforward process.
Andrew White
SEPTEMBER 24, 2019
“In The Wrath of Khan (1982), Spock says, “Logic clearly dictates that the needs of the many outweigh the needs of the few.” Captain Kirk answers, “Or the one.” This sets up a pivotal scene near the end of the film (spoilers follow). … Spock replies, “Or the one.”” Source: [link]. And so with data (and analytics) governance. The needs of the many data outweigh needs of the few data, or the one.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
Depict Data Studio
SEPTEMBER 24, 2019
If you’ve ever worked with publicly available government data, you probably know the headache and eye strain that comes with trying to make sense of a huge spreadsheet. In this blog post, I’m going to explain how you can easily create a customized chart that will make your federal grant data conversations a breeze. I’ll also provide you a look at the chart types I considered and then rejected along the way to my winning chart. .
Insight
SEPTEMBER 24, 2019
Hello ICON Blockchain! Insight Data Science here to recap our weekly infrastructure call. We scheduled the call for 6:00 AM UTC based on a poll from Telegram. We posted the video on our youtube channel , but if you are short on time, just read this post. Everyone in the ICON Public Representative (P-Rep) community needs to come together to develop and share best practices for node operation so that we can build the best network possible.
Dataiku
SEPTEMBER 24, 2019
As companies around the world look to get a jump on AI efforts, there’s one major question: with dozens of potential AI use cases but limited resources, how can organizations prioritize the right projects?
Insight
SEPTEMBER 24, 2019
On September 18th, the Icon Foundation announced that the decentralization of on-chain governance has been delayed by a month. We should all be thankful that the ICON devs had the wisdom to make sure the network is rock solid before launch. I wanted to take a moment to provide some context around why this is a prudent move for the network’s wellbeing and reputation.
Speaker: Jon Harmer, Product Manager for Google Cloud
Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.
Teradata
SEPTEMBER 24, 2019
Time series data is found everywhere from stock prices to public health. Vantage's Machine Learning Engine helps turn that data into answers. Find out how.
DataRobot
SEPTEMBER 24, 2019
Insurance organizations around the world are heavily investing in AI. “Recent research by Genpact found that 87% of insurers are planning to invest more than $5 million in AI by 2020 – and more than half want to transform their existing business processes over the next three years because of AI.” ( Technative ) This race to embrace AI showcases the importance of remaining relevant and competitive in the Fourth Industrial Revolution.
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