INDUSTRY INSIGHTS YOUR PEERS ARE READING
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. MORE
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. MORE
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 MORE
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. MORE
Market basket analysis, cloud sync and grid visualizations are some of Phocas’ product roadmap highlights. ERP - SAP Business One Events and Trade Shows ERP - Pronto Product MORE
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 MORE
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). MORE
We are excited to be launching our first awards program together as the “New Cloudera.” MORE
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. MORE
The emerging internet of things (IoT) is an extension of digital connectivity to devices and sensors in homes, businesses, vehicles and potentially almost anywhere. MORE
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. MORE
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. MORE
. 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. MORE
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. MORE
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. . MORE
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. MORE
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 MORE
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. MORE
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. MORE
“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. MORE
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. MORE
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 MORE
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. MORE
O'Reilly on Data
MAY 23, 2019
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.
Corinium
MAY 22, 2019
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.
O'Reilly on Data
MAY 21, 2019
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.
Simply Statistics
MAY 19, 2019
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.
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!
datapine
MAY 16, 2019
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 Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
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Analytics Vidhya
MAY 19, 2019
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
Corinium
MAY 22, 2019
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
datapine
MAY 21, 2019
“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.
Phocas
MAY 21, 2019
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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DataFloq
MAY 22, 2019
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.
David Menninger's Analyst Perspectives
MAY 20, 2019
The emerging internet of things (IoT) is an extension of digital connectivity to devices and sensors in homes, businesses, vehicles and potentially almost anywhere.
Analytics Vidhya
MAY 22, 2019
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
Advertiser: Birst
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!
Phocas
MAY 16, 2019
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
DataFloq
MAY 16, 2019
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. .
Smart Data Collective
MAY 20, 2019
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.
Dataiku
MAY 23, 2019
We talked to a project team from Georgia Tech with members in the Analytics MS and the Computer Science MS.
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 101
MAY 23, 2019
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.
Cloudera
MAY 22, 2019
We are excited to be launching our first awards program together as the “New Cloudera.”
DataFloq
MAY 20, 2019
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.
Smart Data Collective
MAY 21, 2019
. 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.
Advertiser: Jinfonet
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.
Dataiku
MAY 21, 2019
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.
Data Science 101
MAY 20, 2019
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
MAY 23, 2019
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.
DataFloq
MAY 16, 2019
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.
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.
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