Data Engineering Podcast
NOVEMBER 18, 2019
Summary With the constant evolution of technology for data management it can seem impossible to make an informed decision about whether to build a data warehouse, or a data lake, or just leave your data wherever it currently rests. What’s worse is that any time you have to migrate to a new architecture, all of your analytical code has to change too.
KDnuggets
NOVEMBER 22, 2019
If you are a new Data Scientists early in your professional journey, and you’re a bit confused and lost, then follow this advice to figure out how to best contribute to your company.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Confluent
NOVEMBER 20, 2019
Today marks a new release of KSQL, one so significant that we’re giving it a new name: ksqlDB. Like KSQL, ksqlDB remains freely available and community licensed, and you can […].
Uber Engineering
NOVEMBER 19, 2019
A restaurant’s menu is arguably its most important feature. When ordering online or via the app with Uber Eats, potential customers can’t peer in through a restaurant’s windows or smell the scents wafting from their kitchens, so digital menus become … The post Introducing Menu Maker: Uber Eats’ New Menu Management Tool appeared first on Uber Engineering Blog.
Advertisement
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?
Teradata
NOVEMBER 19, 2019
How do you ensure your Customer Data Platform is enabling breakthrough customer experience business outcomes, rather than hindering them? Find out more!
KDnuggets
NOVEMBER 22, 2019
To demonstrate the implementation complexity differences along the AutoML highway, let's have a look at how 3 specific software projects approach the implementation of just such an AutoML "solution," namely Keras Tuner, AutoKeras, and automl-gs.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Netflix Tech
NOVEMBER 22, 2019
by Shefali Vyas Dalal AWS re:Invent is a couple weeks away and our engineers & leaders are thrilled to be in attendance yet again this year! Please stop by our “Living Room” for an opportunity to connect or reconnect with Netflixers. We’ve compiled our speaking events below so you know what we’ve been working on. We look forward to seeing you there!
Teradata
NOVEMBER 17, 2019
Moving part of your analytic ecosystem to the cloud requires the inspection of all the ecosystem elements to make sure they perform well over a WAN. Read more.
KDnuggets
NOVEMBER 21, 2019
This tutorial will take you through two options that have automated the geocoding process for the user using Python, Selenium and Google Geocoding API.
Confluent
NOVEMBER 19, 2019
In the past 12 months, games and other forms of content made with the Unity platform were installed 33 billion times reaching 3 billion devices worldwide. Apart from our real-time […].
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.
Netflix Tech
NOVEMBER 22, 2019
by Shefali Vyas Dalal AWS re:Invent is a couple weeks away and our engineers & leaders are thrilled to be in attendance yet again this year! Please stop by our “Living Room” for an opportunity to connect or reconnect with Netflixers. We’ve compiled our speaking events below so you know what we’ve been working on. We look forward to seeing you there!
KDnuggets
NOVEMBER 21, 2019
This blog shows how text data representations can be used to build a classifier to predict a developer’s deep learning framework of choice based on the code that they wrote, via examples of TensorFlow and PyTorch projects.
KDnuggets
NOVEMBER 19, 2019
This post will be dedicated to explaining the maths behind Bayes Theorem, when its application makes sense, and its differences with Maximum Likelihood.
KDnuggets
NOVEMBER 22, 2019
We will focus here exactly on that part of the analysis that transforms words into numbers and texts into number vectors: text encoding.
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.
KDnuggets
NOVEMBER 21, 2019
This article aims to explain why this drive towards the use of notebooks in production is an anti pattern, giving some suggestions along the way.
KDnuggets
NOVEMBER 21, 2019
Autoencoders can be a very powerful tool for leveraging unlabeled data to solve a variety of problem, such as learning a "feature extractor" that helps build powerful classifiers, finding anomalies, or doing a Missing Value Imputation.
KDnuggets
NOVEMBER 18, 2019
When training a neural network in deep learning, its performance on processing new data is key. Improving the model's ability to generalize relies on preventing overfitting using these important methods.
KDnuggets
NOVEMBER 21, 2019
Also: Bring the scientific rigor of reproducibility to your Data Science projects; Neutrinos Lead to Unexpected Discovery in Basic Math ; The media gets really excited about AI. Maybe a bit too excited.
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.
KDnuggets
NOVEMBER 20, 2019
Your spectacularly-performing machine learning model could be subject to the common culprits of class imbalance and missing labels. Learn how to handle these challenges with techniques that remain open areas of new research for addressing real-world machine learning problems.
KDnuggets
NOVEMBER 19, 2019
As cornerstones of scientific processes, reproducibility and replicability ensure results can be verified and trusted. These two concepts are also crucial in data science, and as a data scientist, you must follow the same rigor and standards in your projects.
KDnuggets
NOVEMBER 19, 2019
In this article, we are going to talk about popular languages for Data Science and briefly describe each of them.
KDnuggets
NOVEMBER 20, 2019
In this blog I will be demonstrating how deep learning can be applied even if we don’t have enough data.
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.
KDnuggets
NOVEMBER 21, 2019
Brush up on your Python basics with this post on creating, using, and manipulating tuples.
KDnuggets
NOVEMBER 20, 2019
The two main takeaways from this paper: firstly, a sharpening of my understanding of the difference between explainability and interpretability, and why the former may be problematic; and secondly some great pointers to techniques for creating truly interpretable models.
KDnuggets
NOVEMBER 18, 2019
Since X never, ever marks the spot, this article raids the GitHub repos in search of quality automated machine learning resources. Read on for projects and papers to help understand and implement AutoML.
KDnuggets
NOVEMBER 20, 2019
The fundamental fact is that more information than ever will need to be analyzed on millions of devices. And that’s where 5G will make accessing data dramatically faster and more efficient. At Samsung, we’re excited about what 5G can truly enable and to be a central player in the new 5G world.
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.
KDnuggets
NOVEMBER 19, 2019
KDnuggets is calling for original blogs and contributions from new authors on AI, Data Science, Machine Learning, and related topics. The authors of most popular such blogs in December will be profiled in KDnuggets.
KDnuggets
NOVEMBER 20, 2019
Read tips and tricks that helped one Data Scientist to get better at Machine Learning; Learn how to make ML project cost-effective; Consider submitting a blog to KDnuggets - you can be profiled here; and study how to manipulate Python lists.
KDnuggets
NOVEMBER 19, 2019
Find out how data scientists and AI practitioners can use a machine learning experimentation platform like Comet.ml to apply machine learning and deep learning to methods in the domain of audio analysis.
KDnuggets
NOVEMBER 18, 2019
Join this live webinar from cnvrg, Continual Learning with Human-in-the-loop, Nov 26 @ 12 PM EST, and learn the role of human-in-the-loop in your ML pipeline, how to close the loop in your pipeline, and much more.
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.
Expert insights. Personalized for you.
100 
Let's personalize your content