Dataconomy
AUGUST 14, 2018
Analysts forecast that bitcoin will achieve a total value of $1.2 trillion towards the end of 2018. However, forward-thinking individuals see the value of blockchain beyond its original application for digital currency transactions You’ve probably heard about blockchain technology through cryptocurrency, but did you know that blockchain technology is expected.
Eugene Yan
AUGUST 24, 2018
OMSCS CS6460 (Education Technology) - How to scale education widely through technology.
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Depends on the Definition
AUGUST 8, 2018
In the last post, I introduced the U-Net model for segmenting salt depots in seismic images. This time, we will see how to improve the model by data augmentation and especially test time augmentation (TTA). You will learn how to use data augmentation with segmentation masks and what test time augmentation is and how to use it in keras.
Explosion
AUGUST 9, 2018
Making your documentation work for users with vastly different needs is a challenge. Here’s how spaCy, an open-source library for natural language processing, did it.
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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?
Christian Haschek
AUGUST 31, 2018
So you have been scammed It's okay, it happened to the best and even large companies aren't b
ML Review
AUGUST 25, 2018
The research engineers at DeepMind including well known AI researcher and author of the book Grokking Deep Learning , Andrew Trask have published an impressive paper on a neural network model that can learn simple to complex numerical functions with great extrapolation (generalisation) ability. In this post I will explain NALU, its architecture, its components and significance over traditional neural networks.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Dataconomy
AUGUST 31, 2018
It’s not a question. Digital customer engagement and service is on the rise. Customers are of the hope that businesses will in day’s to come, implement digital channels to solve service issues and complete transactions. According to Zendesk, 70 % of customers expect companies to have a self-service option in. The post How to Keep the Human Element in Digital Customer Experience appeared first on Dataconomy.
Dataconomy
AUGUST 2, 2018
Millions of online accounts have personal data stolen on a daily basis, including from large corporations that users believe to be trusted. Here are just 6 of the recent largest data breaches that you’ve likely been affected by and should cause you to check your accounts more often. The. The post Six Biggest Recent Data Breaches You’ve Probably Been Affected By appeared first on Dataconomy.
Dataconomy
AUGUST 31, 2018
What’s stopping business schools from catching up to the business world which relies heavily on Big Data and Data Science? Schools that can incorporate these into all areas of their educational offerings will be the ones that prepare students the best for the challenges they’ll face today — and the. The post Why Business Schools Need to Think About Offering Education in Big Data appeared first on Dataconomy.
Dataconomy
AUGUST 21, 2018
Connected cars offer a wealth of data generation and utilisation possibilities. To optimize the use of this data, blockchain has a role to play. When Henry Ford introduced mass production, it gave the automobile industry a phenomenal boost by making car ownership affordable for millions. A second revolution is now. The post Connected cars will cross new data frontiers – are you ready?
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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
Dataconomy
AUGUST 14, 2018
While there has been a lot of hype around the efficiency of a smart contract, can it replace the traditional way of working? What are the challenges and what is the role blockchain has to play in this shift? Smart contracts have been touted as an evolutionary leap in legal. The post The missing piece of the Smart Contract Puzzle appeared first on Dataconomy.
Dataconomy
AUGUST 9, 2018
Preparations are well underway for the 2018 edition of Data Natives– the data driven conference of the future, hosted in Dataconomy’s hometown of Berlin. Data Natives brings together a global community of data-driven pioneers to explore the technologies that are shaping our world- from big data to blockchain, from AI. The post First Speakers Announced for Data Natives 2018, The Tech Conference of the Future appeared first on Dataconomy.
Dataconomy
AUGUST 7, 2018
The days of terabyte data storage are quickly becoming history for many organizations. Now, many enterprises are managing petabytes of data to provide a myriad of data intensive services from media streaming to file backups. Increased demand for these services has thrust object storage firmly into the spotlight. As. The post Four Big Reasons Why Enterprises are Embracing Object Storage appeared first on Dataconomy.
Dataconomy
AUGUST 8, 2018
Data storage strategies are evolving and object storage is becoming an essential and convenient tool for enterprises, triumphing over other strategies. Here’s why you should factor object storage into your data strategy in 2018 to best prepare for the future. Data not stored is data thrown away – that simple. The post Why object storage must be part of your data strategy in 2018 appeared first on Dataconomy.
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
Depends on the Definition
AUGUST 23, 2018
An important part of every machine learning project is the proper evaluation of the performance of the system. In this post we will talk about evaluation of token-based sequence models.
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