KDnuggets
AUGUST 29, 2019
The sample data used for training has to be as close a representation of the real scenario as possible. There are many factors that can bias a sample from the beginning and those reasons differ from each domain (i.e. business, security, medical, education etc.).
Confluent
AUGUST 29, 2019
We know that Apache Kafka ® is great when you’re dealing with streams, allowing you to conveniently look at streams as tables. Stream processing engines like KSQL furthermore give you the ability to manipulate all of this fluently. But what about when the relationships between items dominate your application? For example, in a social network, understanding the network means we need to look at the friend relationships between people.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Data Engineering Podcast
AUGUST 26, 2019
Summary Data engineers are responsible for building tools and platforms to power the workflows of other members of the business. Each group of users has their own set of requirements for the way that they access and interact with those platforms depending on the insights they are trying to gather. Benn Stancil is the chief analyst at Mode Analytics and in this episode he explains the set of considerations and requirements that data analysts need in their tools and.
Teradata
AUGUST 27, 2019
How can a Digital CFO break down the silos in the Bank and support the digital agenda in transforming the customer journey? Read more from our experts!
Advertisement
In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate
KDnuggets
AUGUST 29, 2019
With the pervasive important of NLP in so many of today's applications of deep learning, find out how advanced translation techniques can be further enhanced by transformers and attention mechanisms.
Confluent
AUGUST 27, 2019
We are excited to announce the release of Confluent Cloud Schema Registry in general availability (GA), available in Confluent Cloud , our fully managed event streaming service based on Apache Kafka ®. Before we dive into Confluent Cloud Schema Registry, let’s recap what Confluent Schema Registry is and does. Confluent Schema Registry provides a serving layer for your metadata and a RESTful interface for storing and retrieving Avro schemas.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
|
Teradata
AUGUST 25, 2019
What is the value of self-service analytics in your organization? What personas provide the most value & where should a business focus its resources? Read more.
KDnuggets
AUGUST 30, 2019
Let’s take a look on what R users are saying about their salaries. Note that the following results could be biased because of unrepresentative and in some cases small samples.
KDnuggets
AUGUST 26, 2019
Visually-displayed data is much more accessible, and it’s criticalto promptly identify the weaknesses of an organization, accurately forecasttrading volumes and sale prices, or make the right business choices.
KDnuggets
AUGUST 30, 2019
Implement some of the core OOP principles in a machine learning context by building your own Scikit-learn-like estimator, and making it better.
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.
KDnuggets
AUGUST 30, 2019
Emoji is becoming a global language understandable by anyone who expresses. emotion. With the pervasiveness of these little Unicode blocks, we can perform analytics on their use throughout social media to gain insight into sentiments around the world.
KDnuggets
AUGUST 29, 2019
Techniques for creating new features, detecting outliers, handling imbalanced data, and impute missing values.
KDnuggets
AUGUST 26, 2019
Learn how probabilistic data structures and algorithms can be used for cardinality estimation in Big Data streams.
KDnuggets
AUGUST 27, 2019
Despite the increasing demand and appetite for experienced data scientists, the job is ambiguously described most of the times. Also, the delineation between data science and data analytics or engineering is still loosely defined by a lot of hiring managers.
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.
KDnuggets
AUGUST 27, 2019
With substantial changes coming with TensorFlow 2.0, and the release candidate version now available, learn more in this guide about the major updates and how to get started on the machine learning platform.
KDnuggets
AUGUST 26, 2019
Here are some ways you can make the case to your boss that analytics investments are smart for your company to pursue.
KDnuggets
AUGUST 27, 2019
Recently, AI researchers from IBM open sourced AI Explainability 360, a new toolkit of state-of-the-art algorithms that support the interpretability and explainability of machine learning models.
KDnuggets
AUGUST 28, 2019
New KDnuggets poll asks 1) What Data Science/Machine Learning-related skills you currently have, and 2) Which skills you want to add or improve? If you are human, please vote and we will analyze and publish the results.
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
KDnuggets
AUGUST 26, 2019
Over the past few years, artificial intelligence continues to be one of the hottest topics. And in order to work effectively with it, you need to understand its constituent parts.
KDnuggets
AUGUST 28, 2019
Human pose estimation refers to the process of inferring poses in an image. Essentially, it entails predicting the positions of a person’s joints in an image or video. This problem is also sometimes referred to as the localization of human joints.
KDnuggets
AUGUST 30, 2019
As a media partner for O'Reilly, KDnuggets is pleased to offer to our readers a chance to win a 2-day Bronze Conference pass to either Strata Data NYC or TensorFlow in Santa Clara. Enter by Sep 8, 2019.
KDnuggets
AUGUST 28, 2019
Algorithms Notes for Professionals - Free Book; 10 simple Linux tips which save 50% of my time in the command line; Why so many #DataScientists are leaving their jobs; Order Matters: Alibaba Transformer-based Recommender System.
Advertisement
With Airflow being the open-source standard for workflow orchestration, knowing how to write Airflow DAGs has become an essential skill for every data engineer. This eBook provides a comprehensive overview of DAG writing features with plenty of example code. You’ll learn how to: Understand the building blocks DAGs, combine them in complex pipelines, and schedule your DAG to run exactly when you want it to Write DAGs that adapt to your data at runtime and set up alerts and notifications Scale you
KDnuggets
AUGUST 26, 2019
Also: Deep Learning for NLP: Creating a Chatbot with Keras!; Understanding Decision Trees for Classification in Python; How to Become More Marketable as a Data Scientist; Is Kaggle Learn a Faster Data Science Education?
KDnuggets
AUGUST 28, 2019
Most useful SQL features for Data Scientist; Excellent tutorial on creating neural nets from scratch with Numpy; TensorFlow 2.0 highlights, explained; How to sell your boss on Data Analytics; and more.
Rockset
AUGUST 27, 2019
Amazon DynamoDB is a managed NoSQL database in the AWS cloud that delivers a key piece of infrastructure for use cases ranging from mobile application back-ends to ad tech. DynamoDB is optimized for transactional applications that need to read and write individual keys but do not need joins or other RDBMS features. For this subset of requirements, DynamoDB offers a way to have a virtually infinitely scalable datastore that requires minimal maintenance.
KDnuggets
AUGUST 29, 2019
Centralized AI is giving way to more democratic AI systems, which are becoming more and more accessible to data scientists, both through code and through open ecosystems.
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!
Expert insights. Personalized for you.
123 
Let's personalize your content