KDnuggets
MARCH 9, 2020
Upgrading your machine learning, AI, and Data Science skills requires practice. To practice, you need to develop models with a large amount of data. Finding good datasets to work with can be challenging, so this article discusses more than 20 great datasets along with machine learning project ideas for you to tackle today.
Uber Engineering
MARCH 11, 2020
The performance of Uber’s services relies on our ability to quickly and stably launch new features on our platform , regardless of where the corresponding service lives in our tech stack. Foundational to our platform’s power is its microservice-based architecture … The post Why We Leverage Multi-tenancy in Uber’s Microservice Architecture appeared first on Uber Engineering Blog.
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Netflix Tech
MARCH 10, 2020
by Damir Svrtan and Sergii Makagon As the production of Netflix Originals grows each year, so does our need to build apps that enable efficiency throughout the entire creative process. Our wider Studio Engineering Organization has built more than 30 apps that help content progress from pitch (aka screenplay) to playback: ranging from script content acquisition, deal negotiations and vendor management to scheduling, streamlining production workflows, and so on.
Data Engineering Podcast
MARCH 9, 2020
Summary Data governance is a complex endeavor, but scaling it to meet the needs of a complex or globally distributed organization requires a well considered and coherent strategy. In this episode Tim Ward describes an architecture that he has used successfully with multiple organizations to scale compliance. By treating it as a graph problem, where each hub in the network has localized control with inheritance of higher level controls it reduces overhead and provides greater flexibility.
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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?
KDnuggets
MARCH 10, 2020
Has coronavirus impacted your conference or other travel plans, and do you anticipate it causing further professional or educational disruption in the near future? Take part in the new KDnuggets poll and have your say.
Confluent
MARCH 11, 2020
In the Apache Kafka® ecosystem, ksqlDB and Kafka Streams are two popular tools for building event streaming applications that are tightly integrated with Apache Kafka. While ksqlDB and Kafka Streams […].
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Rockset
MARCH 12, 2020
At Rockset we strive to make building modern data applications easy and intuitive. Data-backed applications come with an inherent amount of complexity - managing the database backend, exposing a data API (often using hard-coded SQL or an ORM to write queries), keeping the data and application code in sync. the list goes on. Just as Rockset has reimagined and dramatically simplified the traditional ETL pipeline on the data-loading side , we’re now proud to release a new product feature - Query La
KDnuggets
MARCH 8, 2020
For the international women's day, we feature resources to help more women enter and succeed in AI, Big Data, Data Science, and Machine Learning fields.
Confluent
MARCH 9, 2020
Every year on March 8th, Confluent is proud to celebrate International Women’s Day, a global holiday dedicated to honoring the accomplishments of women and advocating for gender equality around the […].
Teradata
MARCH 9, 2020
STC uses Teradata to serve each segment as one team, increasing response rates, customer satisfaction, and revenue as well as reducing operating and call center costs.
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.
Zalando Engineering
MARCH 12, 2020
This document is heavily informed by remote work guidance from other companies and authors. Notable sources include FYI's 11 Best Practices for Working Remotely and Laurel Farrer’s How to Design Powerful Rituals for Successful Distributed Companies. Special thanks to Timo from GiantSwarm for sharing learnings in an ad-hoc phone call. Other sources are linked in the appendix.
KDnuggets
MARCH 9, 2020
In this article, we are listing down some excellent data science books which cover the wide variety of topics under Data Science.
Confluent
MARCH 10, 2020
Given the growing concern and global impact of COVID-19 (better known as the coronavirus), we’ve made the decision to cancel the upcoming Kafka Summit London. While this decision was incredibly […].
Teradata
MARCH 8, 2020
In the final part of this 3-part series, Tim Miller describes how to run R and Python in-database in Vantage using SCRIPT Table Operators.
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.
Preset
MARCH 12, 2020
Stay up to date on the Coronavirus cases with **Superset** dashboard & Public Data
KDnuggets
MARCH 13, 2020
After spending a lot of time thinking about the paths that software companies take toward ML maturity, this framework was created to follow as you adopt ML and then mature as an organization. The framework covers every aspect of building a team including product, process, technical, and organizational readiness, as well as recognizes the importance of cross-functional expertise and process improvements for bringing AI-driven products to market.
Confluent
MARCH 13, 2020
As the impact of COVID-19 (coronavirus) continues to spread, our top priority is the health and well-being of our customers, employees, and community. We are acutely aware that these are […].
Teradata
MARCH 10, 2020
Monica Woolmer recaps her career in technology and business as an homage to Women's History Month.
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
MARCH 9, 2020
Game theory is experiencing a renaissance driven by the evolution of AI. What are some classic and new ideas that data scientists should be aware of.
KDnuggets
MARCH 12, 2020
Automating the analysis of customer feedback will sound like a great idea after reading a couple hundred reviews. Building an NLP solution to provide in-depth analysis of what your customers are thinking is a serious undertaking, and this guide helps you scope out the entire project.
KDnuggets
MARCH 10, 2020
Just getting started with Python's Pandas library for data analysis? Or, ready for a quick refresher? These 7 steps will help you become familiar with its core features so you can begin exploring your data in no time.
KDnuggets
MARCH 13, 2020
I train a series of Machine Learning models using the iris dataset, construct synthetic data from the extreme points within the data and test a number of Machine Learning models in order to draw the decision boundaries from which the models make predictions in a 2D space, which is useful for illustrative purposes and understanding on how different Machine Learning models make predictions.
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
MARCH 11, 2020
Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer.
KDnuggets
MARCH 13, 2020
This articles outlines 5 sets of tools every lazy full-stack data scientist should use.
KDnuggets
MARCH 11, 2020
Let's talk about covid-19; the reality, the numbers, and the data science.
KDnuggets
MARCH 12, 2020
A new optimization framework helps to incorporate fairness constraints in machine learning models.
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
MARCH 10, 2020
This article contain a brief intro to Generative Adversarial Network(GAN) and how to build a Human Face Generator.
KDnuggets
MARCH 11, 2020
While building a machine learning model might be the fun part, it won't do much for anyone else unless it can be deployed into a production environment. How to implement machine learning deployments is a special challenge with differences from traditional software engineering, and this post examines a fundamental first step -- how to create software interfaces so you can develop deployments that are automated and repeatable.
KDnuggets
MARCH 11, 2020
Also: Recreating Fingerprints using Convolutional Autoencoders; A simple and interpretable performance measure for a binary classifier; Resources for Women in AI, Data Science, and Machine Learning; Trends in Machine Learning in 2020; A Crash Course in Game Theory for Machine Learning; and much more.
KDnuggets
MARCH 10, 2020
This post presents an analysis of Berlin online real estate listings, investigating a controversial law capping rents in the state, which went into effect on February 23. Are current landlords already respecting the new rent cap?
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.
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