Wed.Aug 14, 2019

article thumbnail

Why Sports Analytics Matters

DataRobot

A few weeks ago, one of my favorite webcomics, Math with Bad Drawings , posted a comic in response to his other post, “ Why Baseball Statistics Matter”. I really enjoyed Ben Orlin’s explanation because it combines my passion for both baseball and data science. Further, it really resonates with the challenges I’ve seen many companies face as they work to incorporate data science throughout their businesses, as well as the experiences I have had working with various sports teams as they begin usin

article thumbnail

Statistical Modelling vs Machine Learning

KDnuggets

At times it may seem Machine Learning can be done these days without a sound statistical background but those people are not really understanding the different nuances. Code written to make it easier does not negate the need for an in-depth understanding of the problem.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Top Data Science Tools That Will Empower Your Data Exploration Processes

datapine

Data science has become an extremely rewarding career choice for people interested in extracting, manipulating, and generating insights out of large volumes of data. To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations. Companies surely need data scientists to help them empower their analytics processes, build a numbers-based strategy that will boost their bottom line, and ensure that enormous amo

article thumbnail

Putting the Business back into Business Intelligence: reduce Data Debt by reconciling IT Department with Finance Professionals

Jen Stirrup

It’s ironic that there are so many technical tools ways to communicate, there are still problems in achieving effective internal communication in companies. This is particularly evidence in relationships between Finance and IT. In this topic, the issues will be explored further The issue with having so many technical tools is that the quantity of communication may increase, so this can give the appearance that communication is going well.

article thumbnail

Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

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.

article thumbnail

What is Poisson Distribution?

KDnuggets

An solid overview of the Poisson distribution, starting from why it is needed, how it stacks up to binomial distribution, deriving its formula mathematically, and more.

IT 98
article thumbnail

How To Use Artificial Intelligence To Create Websites That Thrive

Smart Data Collective

The field of artificial intelligence has made a massive footprint on the web design profession. There are a lot of great website builders that use advanced AI technology. You need to choose the right one. Using AI to Create Powerful Websites. Creating your own website may sound difficult, but today there are so many different website builders that use AI.

More Trending

article thumbnail

Big Data Technology Creates Seismic Changes In Online Gaming

Smart Data Collective

Nobody is denying the fact that the online gaming industry has grown exponentially over the years. One of the major reasons why people keep coming back to these platforms is the big technology that powers the gaming industry , making their offerings highly enjoyable and secure. CIO reports that big data has helped the gaming industry increase its revenue to $40.6 billion.

article thumbnail

The Future of AI in the Enterprise

Jet Global

The business world is at an inflection point when it comes to the application of Artificial Intelligence (or AI). While the technology behind enabling computers to simulate human thought has been developing, at times slowly, over the past half-century, the cost of implementation, readily available access to cloud computing, and practical business use cases are primed to help AI make a dramatic impact in the enterprise over the next few years.

article thumbnail

3 Principles to move from AI Pilots to AI @ Scale

IBM Big Data Hub

In my last blog post , I covered how you can deliver an AI pilot in just eight weeks and at the same time design your program in a way to scale the AI across your enterprise. Culture, architecture and technology is fundamental to move from AI pilot to AI @ Scale. I also discussed how IBM is helping one of biggest ANZ-region banks to do AI @ Scale to deliver personalized offers using a bot to automate risk modeling and crediting the money in their customers’ accounts.

Risk 71
article thumbnail

Top July Stories: The Death of Big Data and the Emergence of the Multi-Cloud Era

KDnuggets

Also: Top 13 Skills To Become a Rockstar Data Scientist, Top 10 Data Science Leaders You Should Follow; What's wrong with the approach to Data Science?

article thumbnail

Driving Business Impact for PMs

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.

article thumbnail

Top 5 technical interviews pitfalls

Insight

Why do smart candidates fail interviews? The reasons may surprise you. Photo by Kaleidico on Unsplash You’ve studied your share of computer science algorithms/statistics/machine learning/system design for the on-site interview at your favorite tech company. You thought you answered the questions as best as you could. So why didn’t you get the job offer?

Testing 54
article thumbnail

Our Top 20 Most-Read Data and Analytics Research Last Week (to Aug 10)

Andrew White

Click here for an interactive PDF to connect to the most read data and analytics research directly. This list excludes our branded research such as Magic Quadrants etc. Donald Feinberg , with our number 1 this week, just published the presentation version of a recent number 1 note.

article thumbnail

Top KDnuggets tweets, Aug 07-13: Deep Learning Cheat Sheets; 12 NLP Researchers, Practitioners To Follow

KDnuggets

Deep Learning Cheat Sheets; 12 NLP Researchers, Practitioners & Innovators You Should Be Following; Knowing Your Neighbours: Machine Learning on Graphs.

article thumbnail

Putting the Business back into Business Intelligence: reduce Data Debt by reconciling IT Department with Finance Professionals

Jen Stirrup

It’s ironic that there are so many technical tools ways to communicate, there are still problems in achieving effective internal communication in companies. This is particularly evidence in relationships between Finance and IT. In this topic, the issues will be explored further The issue with having so many technical tools is that the quantity of communication may increase, so this can give the appearance that communication is going well.

article thumbnail

How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

article thumbnail

KDnuggets™ News 19:n30, Aug 14: Know Your Neighbor: Machine Learning on Graphs; 12 NLP Researchers, Practitioners You Should Follow

KDnuggets

Machine Learning on Graphs; 12 amazing leaders in NLP; Deep Learning for NLP explained, including ANNs, RNNs and LSTMs; Benford's Law and why is it important for data science; Key concepts in Andrew Ng "Machine Learning Yearning".

article thumbnail

What are the Security Risks of Multi-Cloud Computing?

Nutanix

As if there weren’t enough security risks in the realm of traditional IT, the cloud presents some unique vulnerabilities. “The cloud,” although a deceptively singular phrase, is many things and comes in many forms.

Risk 20
article thumbnail

The Inside Scoop on Upcoming Documentary "Data Science Pioneers"

Dataiku

The data science community is in a period of rapid change, and the upcoming documentary Data Science Pioneers - made by and for data scientists - will be the first to capture both this excitement and uncertainty. In anticipation of the documentary's highly anticipated release, we sat down with Florian Douetteau, CEO of Dataiku, to discuss how the role of data scientist has changed and how to maintain a supportive and open community grounded in understanding, collaboration, and shared knowledge.

article thumbnail

Top 3 Benefits of End-User Computing (EUC)

Nutanix

The top three benefits of end-user computing (EUC) that drive business value around virtual desktops.

20
article thumbnail

Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

article thumbnail

Conversational AI: Design & Build a Contextual Assistant – Part 2

CDW Research Hub

A previous version of this article was published on Medium. I n the first part of this series, we introduced the different maturity levels of conversational AI and started building a travel assistant using Rasa. In this post, we’ll look at structuring happy and unhappy conversation paths, various machine learning policies and configurations to improve your dialogue model, and use a transfer learning-based language model to generate natural conversations.

article thumbnail

Team TIBCO–SVB is Better Together

TIBCO

Here at TIBCO, we’re all about being better together. TIBCO knows that innovation does not happen in isolation—innovation is a team sport. When provided with the right tools, the right mindset, and the right teammates, the impact of innovation can change the game. Usually, when one thinks about teamwork, they consider traditional sports; football, basketball, etc.

article thumbnail

Big Data Analytics Is The 21st Century’s Biggest Disruptor In Healthcare

Smart Data Collective

The healthcare sector is heavily dependent on advances in big data. Healthcare organizations are using predictive analytics , machine learning, and AI to improve patient outcomes, yield more accurate diagnoses and find more cost-effective operating models. The field of big data is going to have massive implications for healthcare in the future. Here are some changes on the horizon.