KDnuggets
JULY 8, 2022
The combination of several machine learning algorithms is referred to as ensemble learning. There are several ensemble learning techniques. In this article, we will focus on boosting.
Data Engineering Podcast
JULY 3, 2022
Summary The ecosystem for data tools has been going through rapid and constant evolution over the past several years. These technological shifts have brought about corresponding changes in data and platform architectures for managing data and analytical workflows. In this episode Colleen Tartow shares her insights into the motivating factors and benefits of the most prominent patterns that are in the popular narrative; data mesh and the modern data stack.
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Teradata
JULY 5, 2022
In the current age of AI, all digital transformations must be analytics-led. Learn the 7 steps needed to realize the promise of an analytics-led digital transformation.
Rockset
JULY 8, 2022
June was a month packed with big data and analytics conferences, and we kicked the summer off with the trifecta of MongoDB World in New York, Snowflake Summit in Las Vegas and The Databricks Data+AI Summit in San Francisco. Rockset Rocked Coast-to-Coast New York City: MongoDB World Show attendees watch Rockset demo at MongoDB World 2022 Team Rockset at MongoDB World 2022 At MongoDB World, we spoke to hundreds of people excited to be back at an in-person industry conference and learn how they can
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
JULY 4, 2022
Learn about the data science VSCode extensions for super productivity and better user experience.
Data Engineering Podcast
JULY 3, 2022
Summary The perennial challenge of data engineers is ensuring that information is integrated reliably. While it is straightforward to know whether a synchronization process succeeded, it is not always clear whether every record was copied correctly. In order to quickly identify if and how two data systems are out of sync Gleb Mezhanskiy and Simon Eskildsen partnered to create the open source data-diff utility.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Meltano
JULY 7, 2022
Gone are the days when success meant keeping data teams small and getting your insights quickly with tools built in-house. Data is taking on a new level of importance to businesses, and expectations are changing. Reliability, consistency, and accuracy are of greater importance than ever before, and the old ways of data don’t support that, leaving DataOps professionals frustrated.
KDnuggets
JULY 7, 2022
We've been long working on improving the user experience in UGC products with machine learning. Following this article's advice, you will avoid a lot of mistakes when creating a recommendation system, and it will help to build a really good product.
Monte Carlo
JULY 7, 2022
Editor’s Note : We ran into Andrew at our London IMPACT event in early 2022. At the time, he was one of a very few people using the term “data contract.” Not only was he using the term, but his implementation was generating results. Data contracts have since became one of the most discussed topics in data engineering. For posterity, we have preserved Barr’s forward that examines what was then a very nascent trend, but we have also added an updated data contract FAQ as an addendum.
Rockset
JULY 6, 2022
This is the fifth post in a series by Rockset's CTO and Co-founder Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! Posts published so far in the series: Why Mutability Is Essential for Real-Time Data Analytics Handling Out-of-Order Data in Real-Time Analytics Applications Handling Bursty Traffic in Real-Time Analytics Applications SQL and Co
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.
Yelp Engineering
JULY 5, 2022
One of the core tenets for our infrastructure and engineering effectiveness teams at Yelp is ensuring we have a best-in-class developer experience. Our React monorepo codebase has steadily grown as developers create new React components, but our existing React Styleguidist (Styleguidist, for short) development environment has failed to scale in parallel.
KDnuggets
JULY 5, 2022
Leverage the powerful data wrangling tools in R’s dplyr to clean and prepare your data.
Data Science Blog: Data Engineering
JULY 4, 2022
Already familiar with the term big data, right? Despite the fact that we would all discuss Big Data, it takes a very long time before you confront it in your career. Apache Spark is a Big Data tool that aims to handle large datasets in a parallel and distributed manner. Apache Spark began as a research project at UC Berkeley’s AMPLab, a student, researcher, and faculty collaboration centered on data-intensive application domains, in 2009.
Confluent
JULY 7, 2022
How Confluent’s data streaming platform enriches real-time stock market data directly into Databricks’ Lakehouse for powerful data modeling, risk management, and analytics.
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.
U-Next
JULY 4, 2022
The chances are tremendously more that you will land a successful career in the data science field after reading this blog than without reading it. So, you know the drill! Introduction To Data Science Career. Data science career has been evolving, and it is in high demand. Data science is involved in the process of collecting and analysing data. It helps organisations in a great way to manage and use a huge amount of data to make important decisions related to the business.
KDnuggets
JULY 6, 2022
12 Essential VSCode Extensions for Data Science; Statistics and Probability for Data Science; Free Python Crash Course; Linear Machine Learning Algorithms: An Overview; 7 Steps to Mastering Python for Data Science.
Propel Data
JULY 5, 2022
Propel Data is excited to announce support for Snowflake. Developers are now able to build on top of GraphQL APIs powered by Snowflake data.
KDnuggets
JULY 4, 2022
Also: Decision Tree Algorithm, Explained; 20 Basic Linux Commands for Data Science Beginners; 15 Python Coding Interview Questions You Must Know For Data Science; Naïve Bayes Algorithm: Everything You Need to Know.
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KDnuggets
JULY 7, 2022
Take advantage of your existing data whether it be for testing, training ML models, or unlocking data analysis. Answer nuanced scientific questions, enable better testing, and support business decisions with the synthetic data that looks, feels, and behaves like your production data - because it’s made from your production data.
KDnuggets
JULY 8, 2022
Learn essential DVC commands to version large datasets and track and manage the machine learning experiments.
KDnuggets
JULY 7, 2022
Coming to think of technical debt in ML systems leads to the additional overhead of ML-related issues on top of typical software engineering issues.
KDnuggets
JULY 8, 2022
Bounding box deep learning has several benefits that make it well-suited for video annotation.
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
KDnuggets
JULY 4, 2022
The tools used in the development cycle for Machine Learning and the managing of the models require MLOps - Machine Learning Operations.
KDnuggets
JULY 5, 2022
Striving for a new generic way to structure analytics data, so models built on one data set can be deployed and run on another.
KDnuggets
JULY 6, 2022
N-gram is a sequence of n words in the modeling of NLP. How can this technique be useful in language modeling?
KDnuggets
JULY 4, 2022
Python is the most popular programming language in the world. Master it with this free crash course.
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.
KDnuggets
JULY 5, 2022
In this article, we discuss the importance of linear regression in data science and machine learning.
KDnuggets
JULY 6, 2022
Looking for a straightforward guide to tech title salaries? Look no further!
U-Next
JULY 2, 2022
Market trends suggest that salaries of cloud engineering-associated jobs will skyrocket soon. Learn more here. Introduction To Cloud Engineer Salary. More and more businesses are recognising the benefits of using cloud computing in their day-to-day operations, which has led to the development of the cloud computing industry. According to Grand View Research, the global cloud computing market revenues were valued at around $267 billion in 2019.
U-Next
JULY 2, 2022
Always wondered what the right skills to become an excellent cloud engineer are? Here comes an end to your curiosity. Read on! Introduction To Cloud Engineer Skills. The cloud computing model delivers computing resources on-demand – that is, through the Internet – such as data storage, compute power and data processing. It means that the users will be able to access, on-demand and remotely, their platforms, databases, and Software, thus reducing the processing power and memory of the
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“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.
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