Analytics Vidhya
MAY 12, 2019
Introduction Data scientists spend close to 70% (if not more) of their time cleaning, massaging and preparing data. That’s no secret – multiple surveys. The post A Beginner’s Guide to Tidyverse – The Most Powerful Collection of R Packages for Data Science 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 29, 2019
Big data is completely transforming the way we live and the way companies conduct business. Pretty much every industry you can think of uses some form of big data technology to help optimize their business. In this article, we reveal five industries which have been reshaped by big data technology. 1. Retail. IBM wrote an excellent report about the use of big data in the retail sector.
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.
DataRobot
MAY 27, 2019
This blog is meant to be a fun and unique take on predicting which team will win the Stanley Cup 2019.
Eugene Yan
MAY 10, 2019
OMSCS CS7646 (Machine Learning for Trading) - Don't sell your house to trade algorithmically.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
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.
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 31, 2019
Avrim Blum, John Hopcroft, and Ravindran Kannan wrote the book, Foundations of Data Science (PDF download). It is free and available for download. It can be useful for academic work or in business. It covers topics such as: Machine Learning Massive Data Clustering and many more. See the video for more.
DataRobot
MAY 15, 2019
Art is subjective and everyone has their own opinion about it. When I saw the expressionist painting Blue Poles , by Jackson Pollock, I was reminded of the famous quote by Rudyard Kipling, “It’s clever, but is it Art?” Pollock’s piece looks like paint messily spilled onto a drop sheet protecting the floor. The debate of what constitutes art has a long history that will probably never be settled, there is no definitive definition of art.
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 Blog
MAY 7, 2019
by Jen Underwood. Artificial intelligence (AI) and machine learning can deliver unprecedented value to the business. Unfortunately, fantastic findings often get lost in translation. From expressing metrics in unfamiliar terminology to presenting odd. Read More.
Analytics Vidhya
MAY 5, 2019
Introduction “How did your neural network produce this result?” This question has sent many data scientists into a tizzy. It’s easy to explain how. The post A Guide to Understanding Convolutional Neural Networks (CNNs) using Visualization appeared first on Analytics Vidhya.
Dataconomy
MAY 29, 2019
Chatbots help customers to resolve their issues at a blazing speed but the one of the main questions is whether the business should opt for a rule-based bot or an AI- based bot. Chatbots are not new in the technological arena. They are a lot smarter now than their predecessors. The post Rule-Based Bots or AI Bots? Which One Do You Prefer? appeared first on Dataconomy.
Smart Data Collective
MAY 8, 2019
If you’re a marketer or business owner in today’s competitive marketplace, you’ve probably tried just about everything you can think of to maximize your success. You’ve dabbled in digital marketing, visited trade shows, paid for print advertising, and incentivized customer testimonials. It’s probably resulted in lots of stress, sleepless nights, and CBD oil drops to give you the energy and focus to keep going.
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
Data Science 101
MAY 6, 2019
Sponsored Post by T.J. DeGroat of Springboard. At Springboard , we recently sat down with Michael Beaumier, a data scientist at Google, to discuss his transition into the field, what the interview process is like, the future of data wrangling, and the advice he has for aspiring data professionals. The full video Q&A is below, but here are some of the highlights.
DataRobot
MAY 2, 2019
So, you have successfully trained a machine learning model after choosing the best algorithm and high-quality training data. Time to celebrate, right? Not quite!
Victor Zhou
MAY 29, 2019
In this post, we’re going to do a deep-dive on something most introductions to Convolutional Neural Networks (CNNs) lack: how to train a CNN , including deriving gradients, implementing backprop from scratch (using only numpy ), and ultimately building a full training pipeline! This post assumes a basic knowledge of CNNs. My introduction to CNNs (Part 1 of this series) covers everything you need to know, so I’d highly recommend reading that first.
Analytics Vidhya
MAY 28, 2019
Introduction I love reading and decoding machine learning research papers. There is so much incredible information to parse through – a goldmine for us. The post Decoding the Best Papers from ICLR 2019 – Neural Networks are Here to Rule appeared first on Analytics Vidhya.
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.
Dataconomy
MAY 29, 2019
Was this a transition year for data protection? How much were the fines collected in the first year of GDPR? What regulations have been enforced so far? Here is all you want to know about GDPR, after a year of its implementation. The European Commission started in January 2012. The post One year of GDPR: What has changed or what hasn’t? appeared first on Dataconomy.
Smart Data Collective
MAY 2, 2019
Large companies around the world are investing in big data. Big data has been especially important for optimizing their marketing campaigns. However, a number of small businesses are getting in on the action too. Local marketing agencies have discovered that SEO is more dependent on big data than ever. They are developing more data driven solutions to offer better search marketing strategies.
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.
DataRobot
MAY 22, 2019
Getting started with the DataRobot Python API for multi-class classification.
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
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
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 10, 2019
Breaking down the workforce options for AI developers to structure raw data for machine learning. Here is a look. While it may seem like artificial intelligence (AI) has hit the big time, a lot of work needs to be done before its potential really come to life. In our modern. The post The Right Workforce Turns Data into Rocket Fuel for AI Projects appeared first on Dataconomy.
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).
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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.
Data Science 101
MAY 3, 2019
Occasionally a product in Microsoft Azure will go down. Luckily, Azure has a status page to tell you which servers and services are down. Here is a quick video to help you find that status page.
DataRobot
MAY 7, 2019
As more and more companies rely on AI , people are questioning whether or not AI can be trusted. Business reputations are damaged when inscrutable black box AI systems make mistakes or make biased decisions. To avoid these issues, organizations are seeking out ways to apply best practices of AI governance to ensure that AIs are following business rules and making sensible and trustworthy decisions.
DataCentric podcast
MAY 27, 2019
Last week was a big week for earnings, with Hewlett Packard Enterprise beating the street and providing some intriguing commentary in their conference call, Pure Storage misses its number while putting up great growth numbers, and NetApp is clearly struggling. All that, along with good discussion of Lenovo, plus grossly uneducated musings on China & Huawei.
Analytics Vidhya
MAY 29, 2019
Introduction What’s the key to cracking data science competitions? How do you use this experience to break into the data science industry? We regularly. The post Exclusive Interview with Sonny Laskar – Kaggle Master and Analytics Vidhya Hackathon Expert appeared first on Analytics Vidhya.
Speaker: Tamara Fingerlin, Developer Advocate
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
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