Sat.May 25, 2019 - Fri.May 31, 2019

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Decoding the Best Papers from ICLR 2019 – Neural Networks are Here to Rule

Analytics Vidhya

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.

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Rule-Based Bots or AI Bots? Which One Do You Prefer?

Dataconomy

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.

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5 Industries That Are Being Revolutionized By Big Data

Smart Data Collective

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.

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Foundations of Data Science – Free Book

Data Science 101

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.

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Optimizing The Modern Developer Experience with Coder

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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.

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A Beginner’s Guide to Hierarchical Clustering and how to Perform it in Python

Analytics Vidhya

Introduction It is crucial to understand customer behavior in any industry. I realized this last year when my chief marketing officer asked me – The post A Beginner’s Guide to Hierarchical Clustering and how to Perform it in Python appeared first on Analytics Vidhya.

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One year of GDPR: What has changed or what hasn’t?

Dataconomy

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.

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My Experience Taking Microsoft DP-100: Designing and Implementing a Data Science Solution on Azure

Data Science 101

I took and passed DP-100 during the beta period. I recorded a live video talking about my experience. Below is that section of the live video. Also, here are the main topics: Azure ML Studio Machine Learning Python High-level knowledge of Azure Products. Also, if you want a checklist to prepare for the exam, I have created one, it is free.

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Exclusive Interview with Sonny Laskar – Kaggle Master and Analytics Vidhya Hackathon Expert

Analytics Vidhya

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.

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Data Power Play: Our Take on the Stanley Cup Finals

DataRobot

This blog is meant to be a fun and unique take on predicting which team will win the Stanley Cup 2019.

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Big Data Leads To An Impressive Array of Chatbots In Customer Service

Smart Data Collective

Big data is changing the direction of customer service. Machine learning tools have led to the development of chatbots. They rely on big data to better serve customers. Namee Jani wrote a fascinating article on chatbots and data analytics last year. She said they are the next big thing in business optimization in her article on Towards Data Science.

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15 Modern Use Cases for Enterprise Business Intelligence

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?

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CNNs, Part 2: Training a Convolutional Neural Network

Victor Zhou

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.

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May 28, 2019: Earnings Extravaganza! HPE! Pure Storage! NetApp! Plus China, Huawei, Lenovo, and More!

DataCentric podcast

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.

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IT Teams Play a Critical Role in Scaling Data Science, Advises Forrester Research

DataRobot

“Without alignment, data science projects fail to drive outcomes.” So cautions Kjell Carlsson, Ph.D., author of Best Practices: Scaling Data Science Across The Enterprise , a report from industry analysts at Forrester Research. Kjell identifies a company’s IT team as stakeholders whose support is critical to the success of data science projects, and we concur with Kjell’s research.

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Leveraging The Cost-Cutting Benefits Of Cloud Accounting

Smart Data Collective

CPA Practice Advisor wrote a fascinating article on the applicability of big data in the accounting field. The article showed that the increasing supply of data is making it easier for companies to handle many core accounting functions. Big data is playing an important role in everything from auditing to custom service. There are a lot of benefits of using big data to simplify the accounting process.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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Here’s How Blockchain Can Change Bancassurance

Smart Data Collective

Whether it is identity authentication, increasing the speed of cross-border payments , supply chain optimization or transportation logistics, blockchain technology has been providing solutions to a variety of industries. Blockchain can also become the answer to the problems encountered by bancassurance. The Issues Bancassurance Faces Now, and How Blockchain Can Help.

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How Real-Time Analytics Can Help Assess ROI Of Toll-Free Call Support

Smart Data Collective

The telecom industry is undergoing some major changes, due to advances in big data. Companies that rely heavily on telephone services should recognize this trend and use big data to get the most value from their services. One way that big data can be especially helpful is by monitoring the ROI of toll-free services. Real-time analytics sheds some insights into this, which helps businesses decide whether it is worth the investment.