KDnuggets
DECEMBER 29, 2021
AI/ML systems have a wide range of applications in a variety of industries and sectors, and this article highlights the top ways AI/ML will impact your small business in 2022.
Confluent
DECEMBER 28, 2021
Many leading lights of the Apache Kafka® community have appeared as guests on Streaming Audio at one time or another in the past three years. But some of its episodes […].
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Teradata
DECEMBER 28, 2021
What we've learned during the pandemic and through almost two years of unprecedented supply chain disruptions will have great impact on the future of supply chain as we enter 2022.
RudderStack
DECEMBER 28, 2021
We recently helped a customer overcome the challenge of sending 5 million users/day from Snowflake to Iterable. This post details how we did it.
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
DECEMBER 28, 2021
Continue your learning journey in Reinforcement Learning with this second of two part tutorial that covers the foundations of the technique with examples and Python code.
Data Engineering Podcast
DECEMBER 26, 2021
Summary The data mesh is a thesis that was presented to address the technical and organizational challenges that businesses face in managing their analytical workflows at scale. Zhamak Dehghani introduced the concepts behind this architectural patterns in 2019, and since then it has been gaining popularity with many companies adopting some version of it in their systems.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Grouparoo
DECEMBER 26, 2021
For data storage, the database is one of the fundamental building blocks. They provide a method for storing information in an organized manner that ensures it remains accessible while providing the mechanisms to protect the integrity, confidentiality, and availability of the information they hold. There are many kinds of databases available, each with its strengths and weaknesses.
KDnuggets
DECEMBER 30, 2021
This list of best data science companies aims to go beyond the usual and expected. Some great and perhaps underrated options to get a job as a data scientist.
Data Engineering Podcast
DECEMBER 26, 2021
Summary Data Engineering is still a relatively new field that is going through a continued evolution as new technologies are introduced and new requirements are understood. In this episode Maxime Beauchemin returns to revisit what it means to be a data engineer and how the role has changed over the past 5 years. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projec
KDnuggets
DECEMBER 31, 2021
In this blog, we will discuss what makes Python so popular, its features, and why you should consider Python as a programming language for your startup.
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.
KDnuggets
DECEMBER 27, 2021
Learn how to improve ML reproducibility by treating experiments as code.
KDnuggets
DECEMBER 28, 2021
Check out these one-liner interactive visualization with Pandas in Python.
KDnuggets
DECEMBER 29, 2021
It's time to learn: machine learning is not a Swiss Army knife.
KDnuggets
DECEMBER 30, 2021
Avoid headaches when debugging in one line of code.
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.
KDnuggets
DECEMBER 27, 2021
Review this detailed tutorial with code and revisit the decades-long old problem using a democratized and interpretable AI framework of how precisely can we anticipate the future and understand its causal factors?
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