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.
Dataconomy
MAY 23, 2019
AI is a tricky subject to wrap your head around, that is why we talked to experts of IBM. We were enlightened by Romeo Kienzler, head of IoT at IBM and frequent speaker at Data Natives. Next, Matthias Biniok, lead Watson Architect DACH at IBM, who designed CIMON, the smiling. The post Why we need to open up AI black boxes right now appeared first on Dataconomy.
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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. Big data alone has become a modern staple of nearly every industry from retail to manufacturing, and for good reason. IDC predicts that if our digital universe or total data content were represented by tablets, then by 2020 they would stretch all the way to the moon over six times.
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.
Speaker: Tamara Fingerlin, Developer Advocate
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
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.
Dataconomy
MAY 23, 2019
Design thinking continues to be all the rage amongst organizations of all kinds – from academia to startups, to agencies and consultancies, or large enterprises. The concept is popular today not because it’s new per se, but its approach to problem-solving fits well with the digital transformation that companies are. The post Three Critical Aspects of Design Thinking for Big Data Solutions appeared first on Dataconomy.
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DataRobot
MAY 22, 2019
Getting started with the DataRobot Python API for multi-class classification.
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. Microsoft Build 2019 – This is a huge conference hosted by Microsoft for the developer community. Many of the presentation are available to watch online.
Victor Zhou
MAY 24, 2019
I had the privilege of joining Adam Stacoviak and Jerod Santo on an episode of The Changelog recently to discuss the explosion of the.io game genre, as well as my experiences building and selling.io games like generals.io and geoarena.online (no longer online). Check it out: The Changelog 347: Creating and selling multiplayer online games – Listen on Changelog.com If you want to learn more about building.io games, I’ve written guides on this topic: How to Build a Multiplayer (.io) Web Game, Part
Smart Data Collective
MAY 20, 2019
The Internet has evolved significantly over the last 20 years. A lot of the biggest changes can be traced to big data. SmartData Collective discussed some of the implications of big data for the Internet a couple of years ago. One thing that got overlooked was the role of big data in web hosting. Big data is creating a new era of hosting solutions. CDN and traditional hosting options are both available.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
DataRobot
MAY 23, 2019
This blog is meant to be a fun and unique take on predicting which summer Disney 2019 movie will be the most popular and is a guest piece from our partners at Datatechnology, showcasing the Qlik and DataRobot integration.
DataCentric podcast
MAY 23, 2019
Recorded live from Lenovo Accelerate in Orlando, FLA, hosts Matt Kimball and Steve McDowell wrap up their coverage of the event. They talk servers, storage, edge, networking, Lenovo's place in the world, and touch on the overall vibe of the event. Recorded live from Lenovo Accelerate in Orlando, FLA, hosts Matt Kimball and Steve McDowell wrap up their coverage of the event.
Victor Zhou
MAY 22, 2019
There’s been a lot of buzz about Convolution Neural Networks (CNNs) in the past few years, especially because of how they’ve revolutionized the field of Computer Vision. In this post, we’ll build on a basic background knowledge of neural networks and explore what CNNs are, understand how they work, and build a real one from scratch (using only numpy ) in Python.
Smart Data Collective
MAY 21, 2019
Big data and e-commerce have been carefully interwoven for years. Businesses with an online presence have looked to big data to provide better customer service. Some examples of this include: Monitoring user engagement to see how customers behave online. Developing more effective graphic designs with the assistance of artificial intelligence. Ensuring the website operates as smoothly as possible.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
Smart Data Collective
MAY 23, 2019
Big data is changing the future of professional communications. We have previously discussed the way that organizations use big data to stream communications through Skype and VoIP services. However, big data is also playing an important role in validating documents as well. Big Data Addresses Security Issues and Other Concerns with Electronic Signatures.
Smart Data Collective
MAY 21, 2019
Big data is redefining the future of the gaming industry. Gaming providers are using big data for a variety of purposes. These applications include the following: Getting a better understanding of customers , so they can offer better products and experiences. Protecting against security threats, which are becoming increasingly common. Adapting new payment processing solutions, such as crypto currencies.
Smart Data Collective
MAY 22, 2019
The marketing profession has been influenced by big data more than almost any other field. Marketers used to make decisions primarily off of conjecture because they didn’t have the detailed analytics capabilities that are available in 2019. In the age of big data, marketers are able to take advantage of much more sophisticated analytics capabilities.
Speaker: Frank Taliano
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
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. However, there are other benefits of big data that are just as important but receive far less publicity.
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