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?
Advertiser: ZoomInfo
AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
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.
Corinium
OCTOBER 28, 2019
The passing of the California Data Privacy Act and first wave of GDPR fines are clear signs that data leaders can’t afford to take their eyes of the ball when it comes to compliance and security.
KDnuggets
OCTOBER 28, 2019
Learn how Bayes Theorem is in Machine Learning for classification and regression!
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.
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.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
Corinium
NOVEMBER 1, 2019
We are thrilled to partner with HR Tech Central for our upcoming Chief Learning Officer, APEX Fall 2019 conference!
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.
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.
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The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
Corinium
NOVEMBER 1, 2019
We are thrilled to partner with eLearning Learning for our upcoming Chief Learning Officer, APEX Fall 2019 conference!
KDnuggets
OCTOBER 31, 2019
A hands on guide to Logistic Regression for aspiring data scientist and machine learning engineer.
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
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.
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GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.
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?
KDnuggets
NOVEMBER 1, 2019
This article focused on building an Artificial Neural Network using the Numpy Python library.
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.
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.
Advertiser: ZoomInfo
ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!
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.
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
NOVEMBER 1, 2019
Machine learning is offering businesses a new opportunity to translate documents. They can use machine learning to translate marketing materials and other literature. However, these AI solutions may not always be the best. Brief Overview of Neural Machine Learning. Towards Data Science has discussed this development. The term is called neural machine translation.
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.
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
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.
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.
Smart Data Collective
OCTOBER 30, 2019
Many of our colleagues have written extensively about the impact big data is having on the gaming industry. They have said that big data technology is probably the biggest game changer in the industry. Kevin Rands of CIO is one of the experts to discuss the state of big data in the gaming industry. He said big data analysis gives companies a long-term strategy that helps them gain the strongest competitive edge.
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.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
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