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 86

Data Science Measurement Machine Learning Risk 86

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 308

Analytics Deep Learning 308

O'Reilly on Data

AUGUST 29, 2019

The O’Reilly Data Show Podcast: Kesha Williams on how she added machine learning to her software developer toolkit. In this episode of the Data Show , I speak with Kesha Williams , technical instructor at A Cloud Guru , a training company focused on cloud computing. As a full stack web developer, Williams became intrigued by machine learning and started teaching herself the ML tools on Amazon Web Services.

Machine Learning 40

Machine Learning Software 40

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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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

Optimization

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

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.

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O'Reilly on Data

AUGUST 28, 2019

Multi-layer architecture, scalability, multitenancy, and durability are just some of the reasons companies have been using Pulsar. With companies producing data from an increasing number of systems and devices, messaging and event streaming solutions—particularly Apache Kafka —have gained widespread adoption. Over the past year, we’ve been tracking the progress of Apache Pulsar ( Pulsar ), a less well-known but highly capable open source solution originated by Yahoo.

Machine Learning 32

Machine Learning Software Data Processing Enterprise 32

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

KDnuggets

AUGUST 30, 2019

Implement some of the core OOP principles in a machine learning context by building your own Scikit-learn-like estimator, and making it better.

Machine Learning 123

Machine Learning IT 123

Analytics Vidhya

AUGUST 25, 2019

Overview Interpretable machine learning is a critical concept every data scientist should be aware of How can you build interpretable machine learning models? This. The post Decoding the Black Box: An Important Introduction to Interpretable Machine Learning Models in Python appeared first on Analytics Vidhya.

Machine Learning 307

Machine Learning Modeling Analytics 307

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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?

Business Intelligence

Dataiku

AUGUST 28, 2019

With all the media hype and coverage around AI, one might think that every company out there has Enterprise AI all figured out and is extremely mature in their data journey. However, we surveyed more than 350 data professionals and found a different story.

Enterprise 21

Enterprise Data Transformation Data Strategy Strategy 21

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 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 123

Machine Learning Data Science 123

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

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📌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

Dataiku

AUGUST 26, 2019

I’m Jacob, a 15-year-old computer science enthusiast who has just reached the end of a two-week internship at Dataiku, where I was tasked with creating a program that can recognize the faces of different people in the office. Here’s how I attempted to turn a Raspberry Pi into the new robo-receptionist for our London office.

Machine Learning 19

Machine Learning 19

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

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 123

Deep Learning 123

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

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

Dataiku

AUGUST 29, 2019

Just in time for the new school year, Dataiku’s latest academic partnership with Teradata University Network (TUN) is set to bring AI tools and skills to the classroom. The program empowers colleges and universities to unlock the full potential of AI by providing Dataiku software and data science resources to faculty and students.

Data Science 18

Data Science Software 18

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

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 123

Analytics 123

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 81

Big Data Machine Learning Visualization Technology 81

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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

Dataiku

AUGUST 28, 2019

A proof of concept (POC) is a popular way for businesses to evaluate the viability of a system, product, or service to ensure it meets specific needs or sets of predefined requirements. But what does running a POC mean in practice specifically for data science?

Data Science 16

Data Science IT 16

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

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 123

Visualization Sales 123

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 80

Cost-Benefit Interactive Finance Technology 80

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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

IBM Big Data Hub

AUGUST 30, 2019

How much time do your data scientists and business analysts spend looking for the right data?

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DataRobot

AUGUST 26, 2019

Background on Robotic Process Automation. The term “robotic process automation” ( RPA ) emerged as a marketing term around 2010. RPA focuses on the user interface (UI) levels of applications to automate processes and is highly dependent on both screen scraping and workflow automation. Rather than being dependent on code, as is required for screen scraping, RPA software allows users to establish automation and manage workflows using drag-and-drop features in a visual way that eliminates the requi

Visualization 15

Visualization Software Marketing Management 15

KDnuggets

AUGUST 29, 2019

Techniques for creating new features, detecting outliers, handling imbalanced data, and impute missing values.

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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 78

Measurement Advertising Data Processing Strategy 78

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