Analytics Vidhya
MAY 26, 2019
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.
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.
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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 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.
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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 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.
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.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Data Science 101
MAY 28, 2019
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.
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.
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.
Smart Data Collective
MAY 30, 2019
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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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.
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.
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.
DataRobot
MAY 29, 2019
“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.
Smart Data Collective
MAY 28, 2019
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.
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 31, 2019
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.
Smart Data Collective
MAY 28, 2019
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.
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