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 307

Visualization Analytics 307

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 122

Visualization Sales 122

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

KDnuggets

AUGUST 26, 2019

Over the past few years, artificial intelligence continues to be one of the hottest topics. And in order to work effectively with it, you need to understand its constituent parts.

Deep Learning 89

Deep Learning Machine Learning IT 89

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.

Experimentation

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 40

Prescriptive Analytics Analytics Descriptive Analytics Forecasting 40

KDnuggets

AUGUST 26, 2019

Learn how probabilistic data structures and algorithms can be used for cardinality estimation in Big Data streams.

Big Data 112

Big Data 112

KDnuggets

AUGUST 26, 2019

Here are some ways you can make the case to your boss that analytics investments are smart for your company to pursue.

Data Analytics 106

Data Analytics Analytics 106

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

KDnuggets

AUGUST 26, 2019

Also: Deep Learning for NLP: Creating a Chatbot with Keras!; Understanding Decision Trees for Classification in Python; How to Become More Marketable as a Data Scientist; Is Kaggle Learn a Faster Data Science Education?

Deep Learning 47

Deep Learning Data Science Marketing 47

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

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

Management

Perceptual Edge

AUGUST 26, 2019

Since writing the short article that appeared in this blog a week ago titled “ The Incompatible Marriage of Data Visualization and VR ,” I learned indirectly that my skepticism about VR’s role in data visualization was opposed by Erin Pangilinan, the chief editor of a new book about VR titled Creating Augmented & Virtual Realities: Theory & Practice for Next-Generation Computing (O’Reilly Media, 2019).

Visualization 52

Visualization Cost-Benefit Interactive Experimentation 52

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