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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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.
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.
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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?
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.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Smart Data Collective
MAY 24, 2019
Machine learning is playing an increasingly important role in web development. Responsive web design practices first started becoming popular around seven years ago. However, advances in machine learning have made them much more robust. One of the most important ways that machine learning is changing the Internet user experience is with the development of progressive web applications (PWAs).
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.
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
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.
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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.
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.
DataRobot
MAY 22, 2019
Getting started with the DataRobot Python API for multi-class classification.
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.
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.
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.
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 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.
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.
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
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.
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