Dataconomy
FEBRUARY 26, 2018
Almost everything we do, both online and offline, is a source for data. As technology increases, the ways to measure and collect data also increase. One of the ways we understand our world is to study trends in behavior. The issue that people run into now, however, is that technology. The post 5 Ways Big Data and Analytics Will Impact E-Commerce in 2018 appeared first on Dataconomy.
Shreyansh Singh
FEBRUARY 27, 2018
These are the writeups of the problems I solved over the weekend for the NeverLAN CTF 2018. Scripting Challenges 1. Basic Math We are given a file with some numbers which we had to sum. File So, we write a simple python script to do it. This gives the flag — 49562942146280612 2. More Basic Math This time we have a larger list of numbers. However, we can just run the script again on the new file.
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ML Review
FEBRUARY 26, 2018
How can you tell whether your shop assistant is a person or a robot? The most significant innovation in AI these recent years, smart chatbots, personal assistants, are only a glimpse of what the future holds. Technology companies such as Google, Facebook, Microsoft, Amazon and Apple are at the forefront of personalized interactive products where intelligent human-computer interactions (IHCI) technology will continue to play a central role in automated messaging, task assistance and the Internet
Depends on the Definition
FEBRUARY 2, 2018
This time I will show you how to build a simple “AI” product with transfer learning. We will build a “dog breed identification chat bot” In this first post, I will show how to build a good model using keras, augmentation, pre-trained models for transfer learning and fine-tuning.
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.
Dataconomy
FEBRUARY 1, 2018
Despite big data currently ranking among top business intelligence and data analytics trends, businesses continue to suffer from a lack of data-savvy talent. Research from BARC shows half of respondents reporting a lack of analytical or technical know-how for big data analytics. This is good news for tech beginners, however, The post Big data basics for tech beginners appeared first on Dataconomy.
Dataconomy
FEBRUARY 19, 2018
Today, businesses are entering into a new era ruled by data. AI, specifically, is gradually evolving into a key driver that shapes day-to- day business processes and Business Intelligence decision-making. Thanks to advances in cognitive computing and AI, companies can now use sophisticated algorithms to gain insights into consumer behavior, The post How AI is Transforming Business Intelligence appeared first on Dataconomy.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Dataconomy
FEBRUARY 16, 2018
Buzzwords are part of what makes the internet go ’round, and you’d be hard-pressed to find a more popular and controversial term today than Artificial Intelligence (AI). Once just an ethereal concept that interested the nerdiest among us, AI has become a very real obsession in all corners of the tech. The post AI: Beyond the Hype and Into Reality appeared first on Dataconomy.
Dataconomy
FEBRUARY 6, 2018
It seems everyone and their grandmother wants to work in data science these days, and there are plenty of good reasons why that’s the case. First, the salaries are attractive: recent data from O’Reilly indicates the average compensation of a data scientist in the United States is $112,000 per year. The post Prepping for a Data Science Interview?
Dataconomy
FEBRUARY 22, 2018
In the 1990s, anthropologist Robin Dunbar hypothesized that the maximum number of people an individual can personally know and remember is 150 — Dunbar’s number. The specific figure is debated, but it is common sense that the human cognitive capacity to understand relationships at scale has a limit. The larger. The post Machine Learning for Connecting Organizations: A Conversation with Roger Gorman appeared first on Dataconomy.
Dataconomy
FEBRUARY 27, 2018
Everyone wants data—especially the people who shouldn’t have it. Those of us who watch the big data industry closely know how much damage cyberattacks can cause to companies large and small. When half of the United States’ personal information was compromised in the 2017 Equifax breach, every single American had. The post 5 Things You Need To Know About Chronicle, Alphabet’s New Cybersecurity Company appeared first on Dataconomy.
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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?
Dataconomy
FEBRUARY 7, 2018
Among the many things I loved about the latest Star Wars movie was our introduction to the unexpected rise of Rose Tico – a humble mechanic who gets thrust into the heart of the action following a chance encounter with Finn. By the end of the movie, she’s flying ski-speeders. The post A Whole New World for Data Teams appeared first on Dataconomy.
Dataconomy
FEBRUARY 9, 2018
When planning a trip, today’s travelers are brought into contact with a multitude of services designed to meet their transportation, accommodation and entertainment needs. However, the modern travel industry is one of the most stratified around, meaning that websites are just customer-facing points of contact at the end of a. The post Is P2P the Future of Travel?
Dataconomy
FEBRUARY 23, 2018
Bitcoin may be monopolizing headlines, but one of the real stars of the blockchain revolution is the smart contract. Originally pioneered by Ethereum, the smart contract was intended to eliminate many of the barriers and processes that raise the costs of doing business. By building an automated contract that is. The post Risks Emerge as Smart Contracts Show Cracks appeared first on Dataconomy.
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