Analytics Vidhya
SEPTEMBER 1, 2019
Overview Working on Data Science projects is a great way to stand out from the competition Check out these 7 data science projects on. The post Here are 7 Data Science Projects on GitHub to Showcase your Machine Learning Skills! appeared first on Analytics Vidhya.
KDnuggets
SEPTEMBER 3, 2019
These three deep learning frameworks are your go-to tools for NLP, so which is the best? Check out this comparative analysis based on the needs of NLP, and find out where things are headed in the future.
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Dataconomy
SEPTEMBER 3, 2019
A data management plan in a company is not something that can be implemented in isolation by one department or a team in your organisation, it is rather a collective effort – similar to how different players perform in a basketball court. From the smallest schoolyard to the biggest pro. The post Lessons from the Basketball Court for Data Management appeared first on Dataconomy.
Data Science 101
AUGUST 31, 2019
The competition site Kaggle has recently released some micro-courses aimed at helping people to quickly learn the skills of data science. It is called Kaggle Learn, Faster Data Science Education. It includes courses on: Python Deep Learning SQL and more. Check them out to quickly get up to speed. Happy Learning.
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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
SEPTEMBER 4, 2019
Overview What is p-value? Where is it used in data science? And how can we calculate it? We answer all these questions and more. The post Everything you Should Know about p-value from Scratch for Data Science appeared first on Analytics Vidhya.
KDnuggets
SEPTEMBER 5, 2019
This blog summarizes the career advice/reading research papers lecture in the CS230 Deep learning course by Stanford University on YouTube, and includes advice from Andrew Ng on how to read research papers.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Eugene Yan
SEPTEMBER 2, 2019
OMSCS CS6750 (Human Computer Interaction) - You are not your user! Or how to build great products.
Analytics Vidhya
SEPTEMBER 2, 2019
Overview Learn how you can use computer vision and deep learning techniques to work with video data We will build our own video classification. The post Step-by-Step Deep Learning Tutorial to Build your own Video Classification Model appeared first on Analytics Vidhya.
KDnuggets
SEPTEMBER 4, 2019
A recurring subject in NLP is to understand large corpus of texts through topics extraction. Whether you analyze users’ online reviews, products’ descriptions, or text entered in search bars, understanding key topics will always come in handy.
Smart Data Collective
SEPTEMBER 4, 2019
Maternal mortality rates in the United States jumped over 25% between 2000 and 2013. The CDC uses data to better understand why the United States has the highest maternal death rates in the developed world. Big data allows researchers to dig deeper into the issue to better understand what’s occurring that’s leading to increased deaths for mothers. Understaffed hospitals and medical errors are causing most of the deaths.
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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.
DataCentric podcast
SEPTEMBER 6, 2019
VMworld, which has become ground-zero for setting the direction for IT infrastructure, just wrapped up in San Francisco. Attended by over 21,000(!) people, it's become one the largest tech conferences in the world. This year the dominant themes were all about Containers and Clouds, with product announcements touching every aspect of the edge-to-core-to-cloud world.
Analytics Vidhya
SEPTEMBER 3, 2019
Overview Learn the inner workings and math behind the HOG feature descriptor The HOG feature descriptor is used in computer vision popularly for object. The post Feature Engineering for Images: A Valuable Introduction to the HOG Feature Descriptor appeared first on Analytics Vidhya.
KDnuggets
SEPTEMBER 4, 2019
Recommender systems are an important class of machine learning algorithms that offer "relevant" suggestions to users. Categorized as either collaborative filtering or a content-based system, check out how these approaches work along with implementations to follow from example code.
Smart Data Collective
SEPTEMBER 4, 2019
Big data is playing a big role in the commerce industry. Many experts believe it will be even more important in 2019. Big data is partially responsible for the 15% increase in ecommerce sales in 2018. Changing your data from one website or store to another is something that seems like a lot of work. However, if you pay attention to the data and other specifics when changing, you shouldn’t have any issues switching from one platform to another.
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.
Explosion
AUGUST 31, 2019
Analysis on media reporting of millenials using spaCy. From napkins to marriage to Applebees, just looking at headlines you’d guess that for the past decade the millennial generation’s been on a rampage.
Twilio Segment
SEPTEMBER 5, 2019
Segment had a security incident. Here's what you need to know.
KDnuggets
SEPTEMBER 5, 2019
This is an interview between Rosaria Silipo and data scientists Paolo Tamagnini, Simon Schmid and Christian Dietz, asking a few questions on the topic of automated machine learning from their point of view, and some interesting examples of its practical use.
DataRobot
SEPTEMBER 4, 2019
DataRobot recently participated in the Financial Conduct Authority (FCA) Global AML and Financial Crime TechSprint. The FCA is the financial regulatory body in the United Kingdom, and the event took place at their headquarters in London. DataRobot was represented by myself, a Data Scientist, and André Balleyguier, Chief Data Scientist EMEA, in the competition as part of the "Team Citadel.
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
SEPTEMBER 4, 2019
We have talked extensively about the role of big data in marketing in previous articles. However, most of our articles relate to the use of big data with traditional marketing channels, including older digital marketing outlets. There are a number of new channels that use big data as well. Push notifications are among them. Hacker Moon wrote an article on the role of big data with push notifications.
KDnuggets
SEPTEMBER 4, 2019
In the following post, I am going to give a brief guide to four of the most established packages for interpreting and explaining machine learning models.
KDnuggets
SEPTEMBER 3, 2019
In this tutorial, you will learn how to run task scheduler to web scrape data from Lazada (eCommerce) website and dump it into SQLite RDBMS Database.
KDnuggets
SEPTEMBER 6, 2019
Instead of focusing on skills thought to be required of data scientists, we can look at what they have actually done before.
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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.
KDnuggets
SEPTEMBER 6, 2019
From asking the best questions about data to answering those questions with certainty, understanding the value of these two seemingly different professions is clarified when you see how they should work together.
KDnuggets
SEPTEMBER 2, 2019
Without a well-defined approach for collecting and structuring training data, launching an AI initiative becomes an uphill battle. These six recommendations will help you craft a successful strategy.
KDnuggets
SEPTEMBER 2, 2019
In this article, we will consider the most vivid data science use cases in the industry of energy and utilities.
KDnuggets
SEPTEMBER 3, 2019
DataScienceGO returns to San Diego Sep 27-29, for a three-day career-focused conference designed to unite newcomers, practitioners, managers and executives under one umbrella, speakers weigh in on how to forge the best teams, increase your hiring chances, and prepare for the future.
Speaker: Kevin Kai Wong, President of Emergent Energy Solutions
In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.
KDnuggets
SEPTEMBER 5, 2019
Managing human bias is an important part of the analytics process. Learn about three areas to watch out for to ensure your models as unbiased as possible.
KDnuggets
SEPTEMBER 6, 2019
Hone your practical speech recognition application skills with this overview of building a voice assistant using Python.
KDnuggets
SEPTEMBER 3, 2019
The quest for recreating cognitive capabilities of the brain in deep neural networks remains one of the elusive goals of AI. Let’s explore some human cognitive skills that are serving as inspiration to a new generation of AI techniques.
KDnuggets
SEPTEMBER 4, 2019
Save 40% on Get Programming with Python, Data Science with Python and Dask, and Learn Quantum Computing with Python and Q# with code nlpython40.
Speaker: Anne Steiner and David Laribee
As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.
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