datapine

AUGUST 28, 2019

Stories inspire, engage, and have the unique ability to transform statistical information into a compelling narrative that can significantly enhance business success. By gaining centralized access to business data and presenting it in a visual way that follows a logical path and provides invaluable insights on a particular area or subject, you stand to set yourself apart from your competitors and become a leader in your field.

KPI 193

KPI Visualization Dashboards Data-driven 193

Smart Data Collective

AUGUST 27, 2019

Are you startled by the rise of cyberattacks globally ? Well, your business is not immune to these attacks, and you should never be complacent with your existing security measures. There is a need to employ professionals to handle the security aspect of your business. Some of the people that will give high-level ideas on your security systems include data scientists, ethical hackers, and IT professionals.

Data Science 83

Data Science Measurement Machine Learning Risk 83

Analytics Vidhya

AUGUST 27, 2019

Overview Here’s a list of the most important Natural Language Processing (NLP) frameworks you need to know in the last two years From Google. The post A Complete List of Important Natural Language Processing Frameworks you should Know (NLP Infographic) appeared first on Analytics Vidhya.

Analytics 307

Analytics Deep Learning 307

Corinium

AUGUST 30, 2019

Tell us about your experience in working with the data analytics community at Vertica? Why do y ou like working in this space?

Marketing 199

Marketing Data Analytics Analytics 199

Advertisement

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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.

Optimization

KDnuggets

AUGUST 29, 2019

The sample data used for training has to be as close a representation of the real scenario as possible. There are many factors that can bias a sample from the beginning and those reasons differ from each domain (i.e. business, security, medical, education etc.).

Machine Learning 122

Machine Learning Data Science 122

Domino Data Lab

AUGUST 29, 2019

This article provides an excerpt “Deep Reinforcement Learning” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens. The article includes an overview of reinforcement learning theory with focus on the deep Q-learning. It also covers using Keras to construct a deep Q-learning network that learns within a simulated video game environment.

Optimization 111

Optimization Deep Learning Modeling Metrics 111

Paul Turley

AUGUST 24, 2019

The purpose of this article is to outline a set of guidelines and recommended practices for managing Microsoft Power BI projects. This guide is primarily focused on the work performed by the IT-managed BI Solution Developers for formally-managed BI projects. Again, this guide is primarily focused on the work performed by the IT-managed BI Solution Developers for formally-managed BI projects.

Measurement 102

Measurement Optimization Reporting Management 102

KDnuggets

AUGUST 26, 2019

Visually-displayed data is much more accessible, and it’s criticalto promptly identify the weaknesses of an organization, accurately forecasttrading volumes and sale prices, or make the right business choices.

Visualization 119

Visualization Sales 119

The Unofficial Google Data Science Blog

AUGUST 27, 2019

by YI LIU Importance sampling is used to improve precision in estimating the prevalence of some rare event in a population. In this post, we explain how we use variants of importance sampling to estimate the prevalence of videos that violate community standards on YouTube. We also cover many practical challenges encountered in implementation when the requirement is to produce fresh and regular estimates of prevalence.

Metrics 98

Metrics Statistics Uncertainty Optimization 98

Analytics Vidhya

AUGUST 26, 2019

Overview A look at 11 mind-blowing and innovative data visualizations in Python, R, Tableau and D3.js These data visualizations span a variety of real-world. The post 11 Innovative Data Visualizations you Should Learn (in Python, R, Tableau and D3.js) appeared first on Analytics Vidhya.

Visualization 306

Visualization Analytics 306

Advertisement

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?

Business Intelligence

DataRobot Blog

AUGUST 27, 2019

by Jen Underwood. Bots here, there, everywhere. All around the world, RPA bots are actively automating busywork. The hot RPA market is growing at a compound annual growth rate of 65%. In 2018, Read More.

Marketing 96

Marketing Digital Transformation Data Integration Analytics 96

KDnuggets

AUGUST 29, 2019

With the pervasive important of NLP in so many of today's applications of deep learning, find out how advanced translation techniques can be further enhanced by transformers and attention mechanisms.

Deep Learning 118

Deep Learning 118

erwin

AUGUST 29, 2019

Big or Small, Enterprise Architecture Is a Key Part of a Successful Software Deployment Strategy. A good software deployment strategy could be the difference between multiple and costly false starts and a smooth implementation. Considering the rate at which emerging technologies are introduced, it’s becoming more important than ever for organizations to have a software deployment strategy in place.

Software 91

Software Strategy IT Cost-Benefit 91

Analytics Vidhya

AUGUST 28, 2019

Overview Did you know you can work with image data using machine learning techniques? Deep learning models are the flavor of the month, but. The post 3 Beginner-Friendly Techniques to Extract Features from Image Data using Python appeared first on Analytics Vidhya.

Deep Learning 292

Deep Learning Machine Learning Modeling Analytics 292

Advertisement

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

Data-driven

Smart Data Collective

AUGUST 29, 2019

Big data has been at the forefront of the design industry for years. A number of companies have written detailed articles on the utilization of data visualization with graphics. However, big data can be effective in more rudimentary designs as well. There are a lot of effective ways to use big data to make better designs. Many modern design tools rely on sophisticated machine learning algorithms.

Big Data 79

Big Data Machine Learning Visualization Technology 79

KDnuggets

AUGUST 30, 2019

Let’s take a look on what R users are saying about their salaries. Note that the following results could be biased because of unrepresentative and in some cases small samples.

112

112

Domino Data Lab

AUGUST 26, 2019

This article provides an excerpt of “Tuning Hyperparameters and Pipelines” from the book, Machine Learning with Python for Everyone by Mark E. Fenner. The excerpt and complementary Domino project evaluates hyperparameters including GridSearch and RandomizedSearch as well as building an automated ML workflow. Introduction. Data scientists, machine learning (ML) researchers, and business stakeholders have a high-stakes investment in the predictive accuracy of models.

Testing 79

Testing Modeling Machine Learning Metrics 79

BizAcuity

AUGUST 26, 2019

The casino business is one that is booming quickly. It has not only tripled in size in recent years but sources predict that it is about to rise to new heights in the coming years. While its operation could throw many challenges your way, it presents even more and bigger opportunities. Ever since the digitization of casinos, casino managers are being exposed to a great deal of data.

Prescriptive Analytics 74

Prescriptive Analytics Analytics Descriptive Analytics Predictive Analytics 74

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

Marketing

Smart Data Collective

AUGUST 27, 2019

Artificial intelligence (AI) serves up a number of assets and benefits for many industries. AI is one of the most discussed topics today, from chatbots to Siri and Alexa. And AI is not a trend. Research has shown that the number of consumers using AI powered virtual assistants will be in the billions in the coming years. There are tons of applications for artificial intelligence available, especially when it comes to banking.

Cost-Benefit 79

Cost-Benefit Interactive Finance Technology 79

KDnuggets

AUGUST 30, 2019

Emoji is becoming a global language understandable by anyone who expresses. emotion. With the pervasiveness of these little Unicode blocks, we can perform analytics on their use throughout social media to gain insight into sentiments around the world.

Analytics 107

Analytics 107

Sisense

AUGUST 28, 2019

Blog. In the early days of software development, applications were built to run on a single, compatible, physical machine. With the introduction of VMware in the 1990s, developers embraced the ability to run their applications on virtual machines that could then run on any physical machine architecture. And with the turn of the new millennium, cloud computing made its debut.

Analytics 73

Analytics Data Strategy Strategy Data Architecture 73

Jet Global

AUGUST 28, 2019

When building a report, you’ll often want to hide entire rows, columns, or even worksheets – all based on some criteria that may or may not be present. For instance, do you only want the report to show the list of customers that return a positive balance? How about hiding worksheets of vendors you don’t have outstanding orders with? Instead of lengthy workarounds, or even worse, maintaining multiple reports, you can use conditional hiding.

Reporting 68

Reporting IT 68

Advertisement

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

Reporting

Smart Data Collective

AUGUST 29, 2019

Today’s technology grants us the power to access information at lightning speeds, communicate with anyone in the world, and store and manage our most important files conveniently. The downside to these massive quality of life improvements is that they leave us vulnerable. If we aren’t careful, powerful corporations and nefarious individuals can get access to the data we most wish to keep private, from our browsing history to our credit card numbers.

Measurement 77

Measurement Advertising Data Processing Strategy 77

KDnuggets

AUGUST 27, 2019

Despite the increasing demand and appetite for experienced data scientists, the job is ambiguously described most of the times. Also, the delineation between data science and data analytics or engineering is still loosely defined by a lot of hiring managers.

Data Science 104

Data Science Data Analytics Management Analytics 104

IBM Big Data Hub

AUGUST 29, 2019

Seizing the AI opportunity to tap new sources of energy inspired one ExxonMobil leader to take a collaborative approach to its big data problem. Now she’s been recognized by IBM as a top woman AI leader.

Big Data 66

Big Data IT 66

Insight

AUGUST 29, 2019

Insight Boston began its journey in 2015, with the first and only fellowship program dedicated to a career in Health Data Science. In 2017, we expanded the location to include our Data Science program, and in early 2018, we welcomed our first Data Engineering Fellows. Since Insight’s launch in Boston, we’ve built up a network of over 300 local alumni, at companies including Wayfair, CVS Health, BCG, Vertex, and many more.

Data Science 56

Data Science Machine Learning Sales Measurement 56

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

Smart Data Collective

AUGUST 27, 2019

Big data has helped us learn more about the changing nature of the economy. A growing number of digital firms are using machine learning to discover insights into the nature of the new world of commerce. One of the newest trends is the role of phone payments for a variety of services, especially those conducted online. New Hadoop and other data extraction tools have provided a great deal of information about these trends.

Big Data 75

Big Data Data mining Machine Learning Strategy 75

KDnuggets

AUGUST 27, 2019

With substantial changes coming with TensorFlow 2.0, and the release candidate version now available, learn more in this guide about the major updates and how to get started on the machine learning platform.

Machine Learning 104

Machine Learning Deep Learning 104

IBM Big Data Hub

AUGUST 27, 2019

Machine learning (ML) is rapidly helping businesses derive better insight and optimize their day-to-day operations. Yet an ML model is only as good as the data used to train and continually improve it. With the majority of enterprise companies already using a hybrid cloud, accessing domain-specific data you need can be challenging.

Machine Learning 59

Machine Learning Modeling Optimization Enterprise 59

Andrew White

AUGUST 30, 2019

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. Julian Sun scores his second “number 1” this year with a note about augmented analytics. This note last week scored the third largest number of downloads in any given week this year (since Feb when I started looking at the data).

Analytics 53

Analytics Interactive 53

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

Data-driven