Data Engineering Podcast

SEPTEMBER 2, 2019

Summary Data professionals are working in a domain that is rapidly evolving. In order to stay current we need access to deeply technical presentations that aren’t burdened by extraneous marketing. To fulfill that need Pete Soderling and his team have been running the Data Council series of conferences and meetups around the world. In this episode Pete discusses his motivation for starting these events, how they serve to bring the data community together, and the observations that he has ma

Building 100

Building Data Database Design Media 100

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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Deep Learning 118

Pandora Engineering

SEPTEMBER 6, 2019

When embarking on the journey of developing a new application, a team must establish the foundational technologies upon which their… Continue reading on Algorithm and Blues »

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Programming Algorithm Technology 52

Teradata

SEPTEMBER 2, 2019

Companies are increasingly exploring opportunities to apply reinforcement learning to their most challenging problems. Learn what applications work the best.

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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?

Business Intelligence

Confluent

SEPTEMBER 6, 2019

First, what is event sourcing? Here’s an example. Consider your bank account: viewing it online, the first thing you notice is often the current balance. How many of us drill down to see how we got there? We probably all ask similar questions such as: What payments have cleared? Did my direct deposit hit yet? Why am I spending so much money at Sephora?

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Kafka MySQL Banking Java 22

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 118

Machine Learning Deep Learning Building 118

Teradata

SEPTEMBER 5, 2019

4D analytics combines geospatial, temporal and time series data to do advanced analysis of time and space. Learn how to uncover new insights today.

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Data 56

Confluent

SEPTEMBER 5, 2019

TL;DR. Following on from How to Work with Apache Kafka in Your Spring Boot Application , which shows how to get started with Spring Boot and Apache Kafka ® , here I will demonstrate how to enable usage of Confluent Schema Registry and Avro serialization format in your Spring Boot applications. Using Avro schemas, you can establish a data contract between your microservices applications.

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Kafka Java Food Cloud 20

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.

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Python 112

Rockset

SEPTEMBER 6, 2019

"A fast-moving technology field where new tools, technologies and platforms are introduced very frequently and where it is very hard to keep up with new trends." I could be describing either the VR space or Data Engineering, but in fact this post is about the intersection of both. Virtual Reality – The Next Frontier in Media I work as a Data Engineer at a leading company in the VR space, with a mission to capture and transmit reality in perfect fidelity.

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Metadata Kafka Data Cleanse SQL 40

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Data

Teradata

SEPTEMBER 5, 2019

4D analytics combines geospatial, temporal and time series data to do advanced analysis of time and space. Learn how to uncover new insights today.

Data 40

Data 40

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.

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Machine Learning Python 119

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.

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Machine Learning Systems Algorithm Coding 110

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.

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Machine Learning IT Data 108

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

Manufacturing

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.

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Python Database Data IT 103

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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Data Data Science 113

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.

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Data 88

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.

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Machine Learning Building Data 88

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

Systems

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.

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Data Science Designing Data Management 83

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.

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Process Management 86

KDnuggets

SEPTEMBER 2, 2019

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

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Utilities Data Science Data 101

KDnuggets

SEPTEMBER 6, 2019

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

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Building Python Machine Learning 90

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

Project

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.

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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.

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Python Programming Data Science Coding 81

KDnuggets

SEPTEMBER 4, 2019

Also: The secret sauce for growing from a data analyst to a data scientist; 4 Tips for Advanced Feature Engineering and Preprocessing; R Users’ Salaries from the 2019 Stackoverflow Survey; Emoji Analytics.

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Architecture Engineering Data 61

KDnuggets

SEPTEMBER 4, 2019

This week: Object-oriented programming for data scientists; Deep Learning Next Step: Transformers and Attention Mechanism; R Users' Salaries from the 2019 Stackoverflow Survey; Types of Bias in Machine Learning; 4 Tips for Advanced Feature Engineering and Preprocessing; and much more!

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Programming Deep Learning Data Science Machine Learning 56

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

Business Intelligence

KDnuggets

SEPTEMBER 5, 2019

In this TensorFlow tutorial, you’ll learn the impact of optimizing both operators and entire graphs, how to efficiently organize data in training and testing datasets to minimize data shuffling, and how to identify a well-optimized model using Anaconda and ActivePython.

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Datasets Data 56

KDnuggets

SEPTEMBER 2, 2019

Also: Types of Bias in Machine Learning; Deep Learning Next Step: Transformers and Attention Mechanism; New Poll: Data Science Skills; R Users Salaries from the 2019 Stackoverflow Survey; How to Sell Your Boss on the Need for Data Analytics.

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Deep Learning Programming Machine Learning Data Science 45

KDnuggets

SEPTEMBER 6, 2019

See how creating a system of purpose-specific displays enables users to quickly get answers to their data-related questions.

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Designing Systems Data 57

KDnuggets

SEPTEMBER 2, 2019

KDnuggets cartoon looks at how AI will impact Labor Day in the year 2050.

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Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.

Government