KDnuggets
APRIL 21, 2022
Understanding the fundamentals of statistics is a core capability for becoming a Data Scientist. Review these essential ideas that will be pervasive in your work and raise your expertise in the field.
Cloudera
APRIL 22, 2022
This blog post was written by Dean Bubley , industry analyst, as a guest author for Cloudera. . Communications service providers (CSPs) are rethinking their approach to enterprise services in the era of advanced wireless connectivity and 5G networks, as well as with the continuing maturity of fibre and Software-Defined Wide Area Network (SD-WAN) portfolios. .
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Data Engineering Podcast
APRIL 16, 2022
Summary Putting machine learning models into production and keeping them there requires investing in well-managed systems to manage the full lifecycle of data cleaning, training, deployment and monitoring. This requires a repeatable and evolvable set of processes to keep it functional. The term MLOps has been coined to encapsulate all of these principles and the broader data community is working to establish a set of best practices and useful guidelines for streamlining adoption.
Confluent
APRIL 20, 2022
When it comes to alerts, monitoring, and support for Apache Kafka®, how do you know when you’ve got a critical problem that needs your immediate attention? You likely won’t be […].
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
KDnuggets
APRIL 19, 2022
Approaches to data sampling, modeling, and analysis can vary based on the distribution of your data, and so determining the best fit theoretical distribution can be an essential step in your data exploration process.
Cloudera
APRIL 20, 2022
The pandemic changed our healthcare behaviors. Planned hospital and doctor visits were reduced while telemedicine, for physical and mental health, increased. As healthcare providers and insurers /payers worked through mass amounts of new data, our health insurance practice was there to help. I have noticed a growing excitement with health insurers around the world exploring these data driven types of capabilities, and I am looking forward to experiencing more of this in my personal life while I
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Confluent
APRIL 21, 2022
In the latest major version update of the Confluent CLI, we’ve packed all of the functionality from our cloud-based ccloud CLI into the existing confluent CLI client! This is a […].
KDnuggets
APRIL 18, 2022
YouTube has become an important element in people's self-development and increase of knowledge. Check out this list of YouTube channels that offer Data Science learning.
Cloudera
APRIL 19, 2022
Data holds incredible untapped potential for Australian organisations across industries, regardless of individual business goals, and all organisations are at different points in their data transformation journey with some achieving success faster than others. . To be successful, the use of data insights must become a central lifeforce throughout an organisation and not just reside within the confines of the IT team.
Ripple Engineering
APRIL 21, 2022
Ripple has always embraced the pursuit of big ideas, so it’s no surprise that our engineering teams are equally as ambitious. At Ripple you can choose your own adventure: with RippleNet , get in at ground zero to build the enterprise-grade global payments system for a future powered with crypto; with RippleX , be on the frontlines of web3 with cutting-edge blockchain technology and impactful blockchain use cases.
Speaker: Anne Steiner and David Laribee
As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.
Confluent
APRIL 19, 2022
The Confluent Q2 ‘22 cloud bundle, our latest set of product launches, is live and packed full of new features to help your business innovate quickly with real-time data streaming. […].
KDnuggets
APRIL 20, 2022
One-stop shop to learn about state-of-the-art research papers with access to open-source resources including machine learning models, datasets, methods, evaluation tables, and code.
U-Next
APRIL 19, 2022
igsaw (A Part of UNext) has been a leader in offering learning programs in emerging technologies since 2011. The sole objective of our programs, delivered through renowned learning partners like IIM Indore, Shiv Nadar University, & NASSCOM FutureSkills, is to help learners upskill with industry-relevant curricula, stay relevant & get noticed.
InData Labs
APRIL 19, 2022
What is the best data science company? The data science field is evolving rapidly, with new industries and use cases for the technology emerging every day. As businesses strive to capitalize on the insights that can be gleaned from data, they are increasingly turning to data science teams for help. Data-related development and services are. Запись 10 top data science companies to check out in 2022 впервые появилась InData Labs.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
Rockset
APRIL 19, 2022
Out of all the awfulness created by the COVID-19 global pandemic, a few unexpected silver linings have emerged. One of them is in the field of economics, which in the past year has quietly undergone a revolution, a revolution that mirrors one that is happening in the business world. To an outsider, economics is a field dominated by numbers and statistics.
KDnuggets
APRIL 21, 2022
I have a list of Machine Learning books you need to read in 2022; beginner, intermediate, expert, and for everybody.
Monte Carlo
APRIL 18, 2022
As data professionals, it can often seem easier to address problems with new technology instead of actually getting to the source of the problem. Have too much work on your plate? Try Asana. Struggling with communication between various departments? Let’s use Slack. One too many null values in your executive’s dashboards? Spin up some more data tests.
Zalando Engineering
APRIL 18, 2022
To optimize the fashion experience for 46 million of our customers, Zalando embraces the opportunities provided by machine learning (ML). For example, we use recommender systems so you can easily find your favorite shoes or that great new shirt. We want these items to fit you perfectly, so a different set of algorithms is at work to give you the best size recommendations.
Advertisement
Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.
Confluent
APRIL 18, 2022
Today, enterprise technology is entering a watershed moment, businesses are moving to end-to-end automation, which requires integrating all data from all sources in real-time. Every industry from Internet to retail […].
KDnuggets
APRIL 19, 2022
Let's take a look at what goes into creating a foundation for enterprise-wide data intelligence and how AI and ML can permanently transform data integration.
Monte Carlo
APRIL 16, 2022
The data warehouse is the foundation of the modern data stack, so it caught our attention when we saw Convoy head of data Chad Sanderson declare, “ the data warehouse is broken ” on LinkedIn. Of course, Chad isn’t referring to the technology, but how it’s being used. As he sees it, data quality and usability issues arise from the conventional best practice of “dumping” data in the warehouse to be manipulated and transformed afterward to fit the needs of the business.
Speaker: Margaret-Ann Seger, Head of Product, Statsig
Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating
Data Engineering Podcast
APRIL 17, 2022
Summary The next paradigm shift in computing is coming in the form of quantum technologies. Quantum procesors have gained significant attention for their speed and computational power. The next frontier is in quantum networking for highly secure communications and the ability to distribute across quantum processing units without costly translation between quantum and classical systems.
KDnuggets
APRIL 18, 2022
In this article, you will learn to deploy a fully functional ML web application in under 3 minutes.
Monte Carlo
APRIL 21, 2022
Adopting a cloud data warehouse like Snowflake is an important investment for any organization that wants to get the most value out of their data. But as teams ingest and transform significant amounts of data across more complex pipelines, it’s crucial that teams leverage native Snowflake data quality features to help ensure data is trustworthy and reliable.
Cloudera
APRIL 21, 2022
In 2022, it’s hard to believe, that for the first decades of the Information Age, the U.S. military and kept track of health records for millions of active-duty soldiers, sailors, airmen and airwomen, support staff, and retired service people using pens & pencils, typewriters, paper, carbon paper, copy machines, and snail-mail. Unsurprisingly errors were all too common, as people were involved in every transaction.
Speaker: David Bard, Principal at VP Product Coaching
In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.
AltexSoft
APRIL 21, 2022
Data systematizes daily processes and governs them by enabling data-driven decisions for businesses and organizations. But in order to analyze the information correctly and profit from it, you should guarantee data integrity. This article explores what data integrity is, what it is not, and why it’s difficult to achieve the integrity. Also, we dive into data integrity threats and propose countermeasures to them.
KDnuggets
APRIL 22, 2022
The first open-source platform for synthetic data is here to help educate the broader machine learning and computer vision communities on the emerging technology.
KDnuggets
APRIL 18, 2022
New milestone achieved by AlphaCode in competitive programming. Should software engineers fear for their jobs? Will AI replace us or assist us?
KDnuggets
APRIL 21, 2022
This post will look at building a modular ETL pipeline that transforms data with SQL and visualizes it with Python and R.
Advertisement
“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.
Expert insights. Personalized for you.
160 
Let's personalize your content