Corinium
OCTOBER 31, 2019
For the UK and Europe’s most data-led companies, phase one of the data transformation is now complete. The strategies have been agreed, the foundations have been laid and the real work is well underway.
Data Science 101
OCTOBER 31, 2019
Today we are generating data more than ever before. Over the last two years, 90 percent of the data in the world was generated. This data alone does not make any sense unless it’s identified to be related in some pattern. Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD).
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datapine
OCTOBER 30, 2019
Historically, the terms data report or business report haven’t got the crowds excited. Data reports have always been important for businesses. However, they have been a necessary evil, created by analysts and consultants. The term usually conjures up images of static PDFs, old-school PowerPoint slides and big tables. Usually created with past data without the possibility to generate real-time or future insights, these reports were obsolete, comprised of numerous external and internal files, with
KDnuggets
OCTOBER 28, 2019
Data collection is one of the first steps of the data lifecycle — you need to get all the data you require in the first place. To collect the right data, you need to know where to find it and determine the effort involved in collecting it. This article answers the most basic question: where does all the data you need (or might need) come from?
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 31, 2019
Learn how to approach the challenges when merging an agile methodology into a data science team to bring out the best value your Big Data products.
Analytics Vidhya
OCTOBER 27, 2019
Overview Big Data is becoming bigger by the day, and at an unprecedented pace How do you store, process and use this amount of. The post PySpark for Beginners – Take your First Steps into Big Data Analytics (with Code) appeared first on Analytics Vidhya.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
O'Reilly on Data
OCTOBER 31, 2019
People from across the TensorFlow community came together in Santa Clara, California for TensorFlow World. Below you’ll find links to highlights from the event. Opening keynote. Jeff Dean explains why Google open-sourced TensorFlow and discusses its progress. Watch “ Opening keynote “ Accelerating ML at Twitter. Theodore Summe offers a glimpse into how Twitter employs machine learning throughout its product.
erwin
OCTOBER 31, 2019
Happy Halloween! Do you know where your data is? What data you have? Who has had access to it? These can be frightening questions for an organization to answer. Add to the mix the potential for a data breach followed by non-compliance, reputational damage and financial penalties and a real horror story could unfold. In fact, we’ve seen some frightening ones play out already: Google’s record GDPR fine – France’s data privacy enforcement agency hit the tech giant with a $57 million penalty in earl
Analytics Vidhya
OCTOBER 30, 2019
Overview Gaussian Mixture Models are a powerful clustering algorithm Understand how Gaussian Mixture Models work and how to implement them in Python We’ll also. The post Build Better and Accurate Clusters with Gaussian Mixture Models appeared first on Analytics Vidhya.
Corinium
OCTOBER 31, 2019
For the UK and Europe’s most data-led companies, phase one of the data transformation is now complete. The strategies have been agreed, the foundations have been laid and the real work is well underway.
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.
O'Reilly on Data
OCTOBER 31, 2019
This is a keynote from TensorFlow World in Santa Clara, California 2019. See more keynotes from this event.
KDnuggets
OCTOBER 30, 2019
Here are five statistical fallacies — data traps — which data scientists should be aware of and definitely avoid.
Analytics Vidhya
OCTOBER 29, 2019
Do you want to build your own smart city? Picture it – self-driving cars strolling around, traffic lights optimised to maintain a smooth flow, The post Here are 8 Powerful Sessions to Learn the Latest Computer Vision Techniques appeared first on Analytics Vidhya.
Corinium
NOVEMBER 1, 2019
Tell us about your experience in working with the data analytics community at Genpact? Why do you like working in this space?
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O'Reilly on Data
OCTOBER 31, 2019
This is a keynote from TensorFlow World in Santa Clara, California 2019. See more keynotes from this event.
KDnuggets
OCTOBER 31, 2019
A hands on guide to Logistic Regression for aspiring data scientist and machine learning engineer.
Martha Bennett
NOVEMBER 1, 2019
In 2020 users of blockchain and distributed ledger technology will focus on operational matters, deployment flexibility and, interconnectivity. Read our 2020 predictions to learn more.
Corinium
NOVEMBER 1, 2019
We are thrilled to partner with eLearning Learning for our upcoming Chief Learning Officer, APEX Fall 2019 conference!
Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO
The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.
O'Reilly on Data
OCTOBER 30, 2019
This is a keynote from TensorFlow World in Santa Clara, California 2019. See more keynotes from this event.
KDnuggets
NOVEMBER 1, 2019
As a developer who is excited about leveraging machine learning for faster and more effective development, these software tools are worth trying out.
Smart Data Collective
OCTOBER 30, 2019
Machine learning is changing the future of marketing in many beneficial ways. The Digital Marketing Institute reports that 97% of decision makers believe it is the future of marketing. There are a number of tactics that marketers can pursue to optimize campaigns with machine learning algorithms. However, some of these strategies are more limited then marketers would like to think.
Corinium
NOVEMBER 1, 2019
We are thrilled to partner with HR Tech Central for our upcoming Chief Learning Officer, APEX Fall 2019 conference!
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
O'Reilly on Data
OCTOBER 31, 2019
This is a keynote from TensorFlow World in Santa Clara, California 2019. See more keynotes from this event.
KDnuggets
OCTOBER 28, 2019
Learn how Bayes Theorem is in Machine Learning for classification and regression!
Sisense
OCTOBER 30, 2019
Blog. A critical part of effectively exploring your data, transforming it into actionable insights, and enhancing decision-making for your business is being empowered to slice and dice your data, and be less dependent on technical resources for new updates. Improved visibility into insights will enable you to get more out of them. And as the business users, you’re best placed to identify which of them most closely meet your organization’s needs.
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“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.
O'Reilly on Data
OCTOBER 31, 2019
This is a keynote from TensorFlow World in Santa Clara, California 2019. See more keynotes from this event.
KDnuggets
NOVEMBER 1, 2019
This article focused on building an Artificial Neural Network using the Numpy Python library.
FineReport
OCTOBER 30, 2019
Why We Need Reporting Tools for Social Media. More and more people are working on social media operations recently. Facebook, Twitter, Instagram… Massive traffic data and user behaviors data is too large for administrators to handle. At this time, you can’t help but ask if there is a good reporting tool, which can help process massive amounts of data and visualize the processed data to help make decisions?
Corinium
OCTOBER 31, 2019
The problem with dieting. The problem with dieting is this; it’s really easy to eat and drink far more calories than is recommended and really hard (at least for me) to eat and drink less. So, unless you are one of those lucky people who don’t mind hunger, the dice are loaded against you. If you are really good for six days a week and a bit bad on the seventh then that’s still no good; across the week, calories in are more than calories out.
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Think your customers will pay more for data visualizations in your application? Five years ago, they may have. But today, dashboards and visualizations have become table stakes. Turning analytics into a source of revenue means integrating advanced features in unique, hard-to-steal ways. Download this white paper to discover which features will differentiate your application and maximize the ROI of your analytics.
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