KDnuggets
FEBRUARY 1, 2022
Are you trying to teach yourself machine learning from scratch, but aren’t sure where to start? I will attempt to condense all the resources I’ve used over the years into 7 steps that you can follow to teach yourself machine learning.
Data Engineering Podcast
JANUARY 30, 2022
Summary Pandas is a powerful tool for cleaning, transforming, manipulating, or enriching data, among many other potential uses. As a result it has become a standard tool for data engineers for a wide range of applications. Matt Harrison is a Python expert with a long history of working with data who now spends his time on consulting and training. He recently wrote a book on effective patterns for Pandas code, and in this episode he shares advice on how to write efficient data processing routines
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Confluent
FEBRUARY 3, 2022
A common challenge organizations face is how to extract, transform, and load (ETL) Salesforce data into a data warehouse, so that the business can use the data. Salesforce (SFDC) is […].
Teradata
JANUARY 31, 2022
From Open Finance and Insurance to FinCrime and Crypto, hear from one of our expert on the top FinServe trends and predictions to look out for in 2022. Read more.
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
FEBRUARY 1, 2022
If the idea of being able to link with SQL databases and define, manipulate, and query using Python sounds appealing, check out the SQLModel library.
Netflix Tech
FEBRUARY 1, 2022
By Karen Casella, Director of Engineering, Access & Identity Management Have you ever experienced one of the following scenarios while looking for your next role? You study and practice coding interview problems for hours/days/weeks/months, only to be asked to merge two sorted lists. You apply for multiple roles at the same company and proceed through the interview process with each hiring team separately, despite the fact that there is tremendous overlap in the roles.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
ProjectPro
FEBRUARY 4, 2022
From sending letters in physical mailboxes to direct messages through your favorite social media application, the explosion of text has been astronomical. The innovation and development of mobile devices and computers helped push this increase, and this geometric growth has called for innovative ways to understand and process text. With machine learning taking some significant leaps in the early 2010s, model creation and prediction have been refined to mirror human understanding of linguistic ex
KDnuggets
FEBRUARY 4, 2022
Read this guide through the most common data science programming languages and when to use them in data science.
U-Next
FEBRUARY 3, 2022
How often do you come across a program where the learners are extremely satisfied with the entire course curriculum and pedagogy and offer to explain the same to prospective learners? Yes! That is how impactful our IIM Indore certified Integrated Program in Business Analytics is when it comes to aiding its learners to fulfill their career aspirations and help them elevate their careers to newer heights.
Rockset
FEBRUARY 2, 2022
MongoDB is a top database choice for application development. Developers choose this database because of its flexible data model and its inherent scalability as a NoSQL database. These features enable development teams to iterate and pivot quickly and efficiently. MongoDB wasn’t originally developed with an eye on high performance for analytics. Yet, analytics is now a vital part of modern data applications.
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.
Zalando Engineering
FEBRUARY 2, 2022
In our Microservices Architecture, services communicate both asynchronous via events and synchronous via REST calls. Frequently, a synchronous REST call modifies data in a data store and emits an event based on the changes made. Publishing data change events can be decoupled from performing the changes in the data store in order to increase the resilience of the application.
KDnuggets
FEBRUARY 3, 2022
For those of you who don’t know, Artificial intelligence (AI) is the ability of a computer or a computer-controlled robot to perform tasks that are usually done by humans as they require human intelligence. Metaverse’s AI research and usage include content analysis, supervised speech processing, computer vision, and much more. .
U-Next
FEBRUARY 2, 2022
The biggest drawback of traditional education is the lack of practical experience concerning the skills we master. With the industries becoming highly competitive and application-oriented, theoretical knowledge would never be sufficient to make it big in any domain. Having identified this colossal knowledge gap, the Integrated Program in Business analytics by IIM Indore, in collaboration with Jigsaw, was designed to provide learners the perfect balance between theoretical knowledge and practical
Confluent
FEBRUARY 1, 2022
In four years, Thierry Mbemba has gone from an entry-level salesman at Confluent to one of the leading producers on the company’s worldwide sales team. A customer relationships driver who […].
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.
FreshBI
JANUARY 31, 2022
The objective of this blog Building reliable intelligence at the speed of business can be a challenging task. A well-designed data engineering strategy ensures that your analytics resources are spent on uncovering insights rather than laying foundations. In this post we’ll explore some of the benefits and the general steps of forming a data engineering strategy.
KDnuggets
FEBRUARY 3, 2022
Transformer based language models such as BERT are really good at understanding the semantic context because they were designed specifically for that purpose. BERT outperforms all NLP baselines, but as we say in the scientific community, “no free lunch”. How can we use BERT to classify long text documents?
U-Next
FEBRUARY 2, 2022
How often do you come across a program where the learners are extremely satisfied with the entire course curriculum and pedagogy and offer to explain the same to prospective learners? Yes! That is how impactful our IIM Indore certified Integrated Program in Business Analytics is when it comes to aiding its learners to fulfill their career aspirations and help them elevate their careers to newer heights.
Monte Carlo
JANUARY 31, 2022
Learn how today’s best data engineering and analytics leaders are staying ahead of the competition in our exclusive guide. In 2022, every company is a data company. Organizations across industries have access to—and have come to rely on—a tidal wave of proprietary and third-party data. At the same time, the complexity of data sources, pipelines, and workflows is increasing.
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RudderStack
FEBRUARY 1, 2022
With RudderStack and Iterable, it’s as easy to collect the data required for great customer experiences as it is to use information to create them
KDnuggets
JANUARY 31, 2022
Given how uncertain ML projects are, this is an incremental strategy that you can adopt as your project matures; it includes test examples to provide a clear idea of how these tests look in practice, and a complete project implementation is available on GitHub. By the end of the post, you’ll be able to develop more robust ML pipelines.
Elder Research
FEBRUARY 1, 2022
The post Training is NOT Optional appeared first on Elder Research.
Cloudera
FEBRUARY 1, 2022
Okay, I admit, the title is a little click-batey, but it does hold some truth! I spent the holidays up in the mountains, and if you live in the northern hemisphere like me, you know that means that I spent the holidays either celebrating or cursing the snow. When I was a kid, during this time of year we would always do an art project making snowflakes.
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
RudderStack
JANUARY 31, 2022
Here we outline the foundational principles of the Customer Data Platform, and we detail the things you should consider when evaluating a CDP.
KDnuggets
FEBRUARY 2, 2022
Using AI to help optimize supply chain management is becoming more prevalent across industries. Early adopters are more resilient and prepared for the inevitable future of artificial intelligence within the supply chain management industry.
ProjectPro
FEBRUARY 1, 2022
According to Harvard business review, data scientist jobs have been termed “The Sexist job of the 21st century” by Harvard business review. Data science has gained widespread importance due to the availability of data in abundance. As per the below statistics, worldwide data is expected to reach 181 zettabytes by 2025 Source: statists 2021 “Data is the new oil.
dbt Developer Hub
FEBRUARY 2, 2022
Measuring the number of business hours between two dates using SQL is one of those classic problems that sounds simple yet has plagued analysts since time immemorial. This comes up in a couple places at dbt Labs: Calculating the time it takes for a support ticket to be solved Measuring team performance against response time SLAs We internally refer to this at "Time on Task," and it can be a critical data point for customer or client facing teams.
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.
Data Engineering Podcast
JANUARY 30, 2022
Summary The Data Engineering Podcast has been going for five years now and has included conversations and interviews with a huge number of guests, covering a broad range of topics. In addition to that, the host curated the essays contained in the book "97 Things Every Data Engineer Should Know", using the knowledge and context gained from running the show to inform the selection process.
KDnuggets
FEBRUARY 2, 2022
These are Baidu's top 10 tech trends for 2022, which center on three key pillars: AI core technologies, interdisciplinary & cross-domain research, and industrial & social values.
U-Next
FEBRUARY 2, 2022
Whether it is to improve efficiency or monitor the progress of a mission, being updated on the general information about the business, the most reliable source is the data. However, the data usually obtained are massive and quite raw in quality. Without the necessary refining, processing, categorizing, and filtering, the data is not of much actual use.
Grouparoo
JANUARY 30, 2022
The v0.8 release is our first major iteration on the user interface for creating your data pipeline. In the v0.7 release, we added Models, which allowed data engineers to sync multiple data schemas to Destinations. This release summarizes those Models better in the UI, giving you a clearer overview of the configuration, making it quicker and easier to sync your data.
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