Trending Articles

Applications of data science and machine learning in financial services

O'Reilly on Data

The O’Reilly Data Show Podcast: Jike Chong on the many exciting opportunities for data professionals in the U.S. and China. In this episode of the Data Show , I spoke with Jike Chong , chief data scientist at Acorns , a startup focused on building tools for micro-investing.

Facebook Insight - Connecting your Data Science & Marketing Teams

Corinium

Over it's lifetime Facebook has become possibly the biggest B2C/B2B marketing channel available to marketers. The platform is a mass generator of big customer data that holds immense potential value for making smarter marketing decisions.

Becoming a machine learning company means investing in foundational technologies

O'Reilly on Data

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. In this post, I share slides and notes from a keynote I gave at the Strata Data Conference in London earlier this year.

I co-founded a company! Meet Problem Forward Data Science

Simply Statistics

I have some exciting news about something I’ve been working on for the last year or so. I started a company! It’s called Problem Forward data science. I’m pumped about this new startup for a lot of reasons.

Embedded BI and Analytics: Best Practices to Monetize Your Data

Speaker: Azmat Tanauli, Senior Director of Product Strategy at Birst

By creating innovative analytics products and expanding into new markets, more and more companies are discovering new potential revenue streams. Join Azmat Tanauli, Senior Director of Product Strategy at Birst, as he walks you through how data that you're likely already collecting can be transformed into revenue!

How Restaurant Analytics Can Make Your Business More Profitable

datapine

The restaurant industry is one of the most competitive sectors on the planet. Not only do we as a species need to eat and drink to survive; communal dining is an experience that people have cherished for centuries.

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Data Science Project: Scraping YouTube Data using Python and Selenium to Classify Videos

Analytics Vidhya

This article was submitted as part of Analytics Vidhya’s Internship Challenge. Introduction I’m an avid YouTube user. The sheer amount of content I can. The post Data Science Project: Scraping YouTube Data using Python and Selenium to Classify Videos appeared first on Analytics Vidhya. Machine Learning Python classification data collection Data Extraction machine learning python random forest scraping selenium web scraping

Big Data: Hype vs. Reality

Corinium

Most often, one hears remarks that Big Data implementation is a failure. This requires a reset of expectations. Big Data is all hype. With this post, I would like to share my views. CDAO Africa CDAO Africa Insights

Common Business Intelligence Challenges Facing Entrepreneurs

datapine

“BI is about providing the right data at the right time to the right people so that they can take the right decisions” – Nic Smith. Data analytics isn’t just for the Big Guys anymore; it’s accessible to ventures, organizations, and businesses of all shapes, sizes, and sectors.

KYB Americas grows sales with Phocas data analytics

Phocas

Data analytics is increasingly important for KYB Americas with the insights helping the sales team to uncover new customer service opportunities and increase orders. Case Study Industry - Manufacturing Industry - Wholesale Distribution

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Quantifying a Culture of Innovation

Examining five years of anonymous data from over 6 million users in 170+ countries, Spigit has discovered that a culture of innovation can be measured – with a 99% statistical confidence level – by a metric called ideation rate. Download the eBook now for an in-depth look at this groundbreaking study.

6 Ways Blockchain Revolutionizes Digital Marketing

DataFloq

Blockchain technology is often associated with bitcoin and cryptocurrencies that are not only disrupting the financial sector but transforming the way various industries do business. Blockchain is a decentralized technology, which is considered to be the next huge wave in technology.

The Internet of Things: Real-Time Data and Analytics Enable Business Innovation

David Menninger's Analyst Perspectives

The emerging internet of things (IoT) is an extension of digital connectivity to devices and sensors in homes, businesses, vehicles and potentially almost anywhere.

Moving from reactive analytics to proactive analytics

Corinium

Using the Power of Deep Learning for Cyber Security (Part 2) – Must-Read for All Data Scientists

Analytics Vidhya

Introduction We are in the midst of a deep learning revolution. Unprecedented success is being achieved in designing deep neural network models for building. The post Using the Power of Deep Learning for Cyber Security (Part 2) – Must-Read for All Data Scientists appeared first on Analytics Vidhya. Deep Learning cyber security deep learning Neural network

Top 10 industries for monetizing data: Is yours one of them?

Find out which industries, use cases, and business applications are the best opportunities for data monetization. Understand what data is being monetized, who wants it, and why. Use data you already own to create new revenue sources. Download the eBook today!

Are you Excel-reliant? Four reasons to add BI

Phocas

Many businesses use spreadsheets for a variety of needs. They're a great way to organize information, and if used correctly, can add value to an organization in a number of ways. If spreadsheets are used as a source of data analytics, however, challenges often arise. ERP - Microsoft Excel

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Open Source Security Risks and Vulnerabilities to Know in 2019

DataFloq

Open source projects provide software development teams with well-built libraries and frameworks which they can freely use in their projects to improve the speed and efficiency of software development. .

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6 Data And Analytics Trends To Prepare For In 2020

Smart Data Collective

We’re well past the point of realization that big data and advanced analytics solutions are valuable — just about everyone knows this by now. In fact, there’s no escaping the increasing reliance on such technologies.

How to Activate your Academic Project with Data

Dataiku

We talked to a project team from Georgia Tech with members in the Analytics MS and the Computer Science MS.

The Magic of Intent: Start Knowing The Goals of Your Users

Speaker: Terhi Hanninen, Senior Product Manager, Zalando, and Dr. Franziska Roth, Senior User Researcher, Zalando

It's important to know your users - what are their preferences, pain points, ultimate goals? With user research and usage data, you can get a great idea of your users act. The tricky part is, very few users reliably act the same way every time they use your product. Join Terhi Hanninen, Senior Product Manager, and Dr. Franziska Roth, Senior User Researcher at Zalando, as they explain how they were able to reach a new level of user understanding - by taking their user research and segmenting their users by point-in-time intent. You'll leave with a strategy to change how your product team, and organization at large, understands your users.

Data Science News for May 2019

Data Science 101

Here is the latest data science news for May 2019. From Data Science 101. REAL TALK WITH A DATA SCIENTIST: THE FUTURE OF DATA WRANGLING WHAT IS ON THE MICROSOFT DATA SCIENCE CERTIFICATION EXAM? General Data Science.

Announcing the 2019 Data Impact Awards

Cloudera

We are excited to be launching our first awards program together as the “New Cloudera.”

Why Location and Demographic Data Play an Essential Role in Predictive Analytics for Marketing

DataFloq

For most of the past century, marketing was far more of an art than a science. Marketers made decisions primarily off of intuition. Their models have shifted markedly in recent years, as big data plays a more important role in customer outreach and engagement.

Big Data Offers New Solutions for Disaster Mitigation Planning

Smart Data Collective

. Organizations are using big data to solve many of their most pressing challenges. Some big data applications have received considerably more attention than others. Marketing and finance are two of the functions that are most dependent on big data.

Buyer’s Guide for Embedded Analytics

Selecting the right embedded analytics technology in a crowded market filled with sub-categories can be a daunting task. This eBook discusses the top evaluation criteria buyers of embedded analytics need to consider.

Practical Deep Learning

Dataiku

If this month’s Google I/O conference is any indication , then incorporating machine learning (and deep learning) into existing products and processes to make them more efficient or useful is the future.

What is on the Microsoft Data Science Certification Exam?

Data Science 101

I took and passed the exam during the beta period. These are my memories of the topics on the exam. You can get this information as the Microsoft Azure Data Scientist Checklist. General Overview. Below is the basic structure of the DP-100: Designing and Implementing a Data Science Solution on Azure. Passing the exam will qualify you for the Azure Data Scientist Associate certification. It can be taken in a traditional exam center or at your home (but you will be watched via video camera).

Tamr Unify’s Classification Engine Gets Smarter with Active Learning

Tamr

Tamr’s human-guided machine learning platform has an exciting new feature, active learning for categorization, that will increase the accuracy and efficiency of categorization projects by highlighting high impact entities to categorize.

Forces of Bitcoin - Cryptography

DataFloq

Blockchain is a technology that pretty much took the world by storm in 2017, and it shows no signs of slowing down. Bitcoin, blockchain, and cryptocurrency are words that almost everybody knows these days.

Your 2-Part Metrics Audit for High-Value Products

Speaker: Sam McAfee, Product Development Consultant, Startup Patterns

You know what they say: what's measured improves. As product managers we're in a golden age of being able to get all sorts of metrics and run all sorts of experiments. But what are your measurements and analytics focused on? Are they really truly objective? Do they contribute to the ultimate vision of your product? And is everybody clear on that vision? Join Sam McAfee, Product Development Consultant, as he takes you through a two-part measurement audit. First, you'll learn how to make sure your measurements actually align with your product strategy. And second, you'll learn how to evaluate your culture of using measurements, so future experiments will more consistently provide high-value results.