Analytics Vidhya
OCTOBER 10, 2019
Picture a world where: Machines are able to have human-level conversations with us Computers understand the context of the conversation without having to be. The post 7 Amazing NLP Hack Sessions to Watch out for at DataHack Summit 2019 appeared first on Analytics Vidhya.
Corinium
OCTOBER 10, 2019
There’s almost no limit to what you can do with data-driven technologies. From combing the night sky for habitable planets to finding overlooked discoveries in old scientific data, the potential applications are as broad as the human imagination.
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datapine
OCTOBER 10, 2019
If you want to convey crucial information to decision-makers in the easiest and most effective way possible, you need to embrace the power of interactive dashboards. A business dashboard offers at-a-glance insights based on key performance indicators (KPIs) and is an intuitive and visually pleasing way to consume data. Unlike early predecessors, they give presenters the ability to engage audiences with real-time data.
Ontotext
OCTOBER 10, 2019
What is AI? Defining artificial intelligence is tricky. Firstly, we aren’t agreed on what intelligence actually is, natural or artificial. The most famous test for artificial intelligence, the Turing Test, is little more than a process where, after asking a series of questions, a person decides if the thing they are interacting with seems intelligent or not.
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
OCTOBER 10, 2019
While you may be focused on your performance during your next job interview, landing that interview can be just as hard. Check out these tips for finding and securing an interview for a machine learning job.
Sisense
OCTOBER 10, 2019
Blog. When “data engineer” first started becoming a vital role for tech companies, the world was a smaller, simpler place. Engineers were primarily concerned with handling data stored in Excel spreadsheets and on local machines. New tools were slowly introduced to deal with data as it grew in volume and complexity, but the overall landscape was largely unchanged until the rise of “The Cloud.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Jet Global
OCTOBER 10, 2019
Microsoft has invested heavily in its business intelligence (BI) and analytics platforms for over 12 years. As one of the most widely used data visualization tools in the world, Power BI has made some huge improvements to creating custom visualizations that we want to share with you. Whether you are using the free desktop version or the paid professional version, one of the biggest challenges with Power BI is customizing your dashboards and reports to fit your analytical requirements.
KDnuggets
OCTOBER 10, 2019
If we want a machine learning model to be able to generalize these forms together, we need to map them to a shared representation. But when are two different words the same for our purposes? It depends.
Juice Analytics
OCTOBER 10, 2019
“Can’t we sprinkle in some pie charts just to change things up?” If you’re in the information design business, you’ve probably heard some version on this request. Variety is the spice of life, right? I say: Get your spice elsewhere. Your audience doesn’t have interest in learning a bunch of different charts — and carrying an unnecessary cognitive load.
KDnuggets
OCTOBER 10, 2019
In this article, we’ll outline just a few of the most important topics in data science that our speakers will be presenting on at ODSC West Oct 29 - Nov 1 in San Francisco.
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.
Dataiku
OCTOBER 10, 2019
It’s easy to talk about data ethics in science-fiction hypotheticals. However, Asimov’s Laws and imagined trolley problems are only thought exercises; when building machine learning models, data scientists are presented with real ethical concerns every day, where legal compliance, civil liberties, model accuracy, and profit margins vie for dominance.
O'Reilly on Data
OCTOBER 10, 2019
The O’Reilly Data Show Podcast: Peter Bailis on data management, ML benchmarks, and building next-gen tools for analysts. In this episode of the Data Show , I speak with Peter Bailis , founder and CEO of Sisu , a startup that is using machine learning to improve operational analytics. Bailis is also an assistant professor of computer science at Stanford University, where he conducts research into data-intensive systems and where he is co-founder of the DAWN Lab.
Nutanix
OCTOBER 10, 2019
NEXT Magazine is your source for practical advice, bold ideas, and occasionally controversial opinions from some of the IT industry's leading change agents.
Nutanix
OCTOBER 10, 2019
NEXT Magazine is your source for practical advice, bold ideas, and occasionally controversial opinions from some of the IT industry's leading change agents.
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.
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