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.

Data Scientist 307

Data Scientist Data Science 307

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.

Data Science 307

Data Science Analytics Analytics 307

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.

Big Data 188

Big Data Big Data Analytics Analytics 188

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.

Data Science 107

Data Science Deep Learning Deep Learning SQL 107

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.

Analytics

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.

Machine Learning 307

Machine Learning Machine Learning Deep Learning Deep Learning 307

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.

Data Science 308

Data Science Machine Learning Machine Learning Analytics 308

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.

Big Data 105

Big Data Big Data Machine Learning Machine Learning 105

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.

Machine Learning 307

Machine Learning Machine Learning Python 307

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.

Deep Learning 291

Deep Learning Deep Learning Analytics Analytics 291

Eugene Yan

SEPTEMBER 2, 2019

OMSCS CS6750 (Human Computer Interaction) - You are not your user! Or how to build great products.

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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.

AI

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.

Big Data 90

Big Data Big Data 90

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.

Python 307

Python Analytics Analytics 307

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.

Analytics 274

Analytics Analytics Deep Learning Deep Learning 274

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.

Analytics 14

Analytics Analytics Data Scientist AI 14

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

AI

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.

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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.

Deep Learning 307

Deep Learning Deep Learning 307

Twilio Segment

SEPTEMBER 5, 2019

Segment had a security incident. Here's what you need to know.

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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.

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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.

AI

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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Big Data Big Data Database 92

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.

Machine Learning 307

Machine Learning Machine Learning Algorithm Python 307

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.

Machine Learning 307

Machine Learning Machine Learning Data Scientist 307

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.

Database 306

Database Python Data Science 306

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?

KDnuggets

SEPTEMBER 2, 2019

In this article, we will consider the most vivid data science use cases in the industry of energy and utilities.

Data Science 304

Data Science 304

KDnuggets

SEPTEMBER 6, 2019

Hone your practical speech recognition application skills with this overview of building a voice assistant using Python.

Python 273

Python Machine Learning Machine Learning 273

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.

Analytics 256

Analytics Analytics 256

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.

Machine Learning 256

Machine Learning Machine Learning AI AI 256

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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.

Analytics 250

Analytics Analytics 250

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.

Artificial Intelligence 238

Artificial Intelligence Artificial Intelligence AI AI 238

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.

Python 235

Python Data Science 235

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.

Data Science 220

Data Science 220

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!