Data Engineering Podcast
AUGUST 12, 2019
Summary The extract and load pattern of data replication is the most commonly needed process in data engineering workflows. Because of the myriad sources and destinations that are available, it is also among the most difficult tasks that we encounter. Fivetran is a platform that does the hard work for you and replicates information from your source systems into whichever data warehouse you use.
KDnuggets
AUGUST 16, 2019
As a data scientist, you are in high demand. So, how can you increase your marketability even more? Check out these current trends in skills most desired by employers in 2019.
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Uber Engineering
AUGUST 14, 2019
Maintaining Uber’s large-scale data warehouse comes with an operational cost in terms of ETL functions and storage. In our experience, optimizing for operational efficiency requires answering one key question: for which tables does the maintenance cost supersede utility? Once identified, … The post Less is More: Engineering Data Warehouse Efficiency with Minimalist Design appeared first on Uber Engineering Blog.
Teradata
AUGUST 11, 2019
Contrary to popular belief, in today's technology-enabled, digitally-disrupted world, it's the human element that matters the most in business. 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.
Rockset
AUGUST 16, 2019
Have you ever felt uncertain parking in a shady area? In particular, have you ever parked in San Francisco and wondered, if I measured the average inverse square distance to every vehicle incident recorded by the SFPD in the last year, at what percentile would my current location fall? If so, we built an app for that. In this post we’ll explain our methodology and its implementation.
KDnuggets
AUGUST 12, 2019
If you are diving into AI and machine learning, Andrew Ng's book is a great place to start. Learn about six important concepts covered to better understand how to use these tools from one of the field's best practitioners and teachers.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Teradata
AUGUST 13, 2019
Find out how the early architectural decisions surrounding the Teradata Database are still making a critical contribution to performance today. Read more!
Rockset
AUGUST 13, 2019
Organizations speak of operational reporting and analytics as the next technical challenge in improving business processes and efficiency. In a world where everyone is becoming an analyst , live dashboards surface up-to-date insights and operationalize real-time data to provide in-time decision-making support across multiple areas of an organization.
KDnuggets
AUGUST 14, 2019
At times it may seem Machine Learning can be done these days without a sound statistical background but those people are not really understanding the different nuances. Code written to make it easier does not negate the need for an in-depth understanding of the problem.
Confluent
AUGUST 14, 2019
Compliance requirements often dictate that services should not store secrets as cleartext in files. These secrets may include passwords, such as the values for ssl.key.password , ssl.keystore.password , and ssl.truststore.password configuration parameters (as shown below), or any other sensitive data in the configuration files or log files. Here is a snippet from a properties file with standard SSL configurations that users often don’t want in cleartext: security.inter.broker.protocol=SSL
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
AUGUST 12, 2019
Check out this list of NLP researchers, practitioners and innovators you should be following, including academics, practitioners, developers, entrepreneurs, and more.
KDnuggets
AUGUST 13, 2019
Creating effective data visualisations is a core skill for data scientists. This tutorial will guide you through how to easily develop interactive visualisations using the Python library plotly.
KDnuggets
AUGUST 16, 2019
Use of Machine Learning (ML) in Medicine is becoming more and more important. One application example can be Cancer Detection and Analysis.
KDnuggets
AUGUST 14, 2019
Processing unstructured text data in real-time is challenging when applying NLP or NLU. Find out how an alternative, called Domain-Specific Language Processing, can mine valuable information from data by following your guidance and using the language of your business.
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
AUGUST 15, 2019
Predictor collinearity (also known as multicollinearity) can be problematic for your regression models. Check out these rules of thumb about when, and when not, to be concerned.
KDnuggets
AUGUST 14, 2019
An solid overview of the Poisson distribution, starting from why it is needed, how it stacks up to binomial distribution, deriving its formula mathematically, and more.
KDnuggets
AUGUST 16, 2019
Here, I will attempt an objective comparison between all three frameworks. This comparison comes from laying out similarities and differences objectively found in tutorials and documentation of all three frameworks.
KDnuggets
AUGUST 13, 2019
The amount of time I had to put in to organize the AI Society left me sometimes sleep-deprived but it was definitely worth it. It was also one of the main factors why I got the job in Machine Learning after all. I hope that this article will inspire you to create your own AI study group!
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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.
KDnuggets
AUGUST 12, 2019
Semantic segmentation refers to the process of linking each pixel in an image to a class label. These labels could include a person, car, flower, piece of furniture, etc., just to mention a few. We’ll now look at a number of research papers on covering state-of-the-art approaches to building semantic segmentation models.
KDnuggets
AUGUST 15, 2019
Check out this introductory guide to completing simple tasks with the command line.
KDnuggets
AUGUST 14, 2019
Also: Top 13 Skills To Become a Rockstar Data Scientist, Top 10 Data Science Leaders You Should Follow; What's wrong with the approach to Data Science?
KDnuggets
AUGUST 15, 2019
The lineup of experienced, thought-leading speakers at Data Driven Government, Sep 25 in Washington, DC, will explain how to use data and analytics to more effectively accomplish your mission, increase efficiency, and improve evidence-based policymaking.
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
AUGUST 15, 2019
The positions require research and teaching expertise in AI/Data Science, or related areas including Data Extraction, Data Visualization, Machine Learning, and Intelligent Actuators.
KDnuggets
AUGUST 13, 2019
Help develop new e-science methods that fundamentally integrates Deep Learning and Multivariate analysis. The postdoc position is full-time for a period of two years.
KDnuggets
AUGUST 15, 2019
While the process of building simple, domain-specific chatbots has gotten way easier, building large scale, multi-agent conversational applications remains a massive challenge. Recently, the Uber engineering team open sourced the Plato Research Dialogue System, which is the framework powering conversational agents across Uber’s different applications.
KDnuggets
AUGUST 13, 2019
Umea University, Sweden is seeking a PhD-student in computational science with focus on chemistry. The position is for 4 years of research including courses on graduate level.
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
AUGUST 12, 2019
Chris Wylie, the whistleblower who exposed Cambridge Analytica, will headline Big Data LDN 2019 programme, along with over 100 speakers at this free to attend event, Nov 13-14, London.
KDnuggets
AUGUST 13, 2019
The core Bayesian idea, when learning from data, is to inject information — however slight — from outside the data. In real-world applications, meta-information is clearly needed. John Elder's Predictive Analytics World keynote covers this and more. PAW London takes place 16-17 Oct.
KDnuggets
AUGUST 14, 2019
Deep Learning Cheat Sheets; 12 NLP Researchers, Practitioners & Innovators You Should Be Following; Knowing Your Neighbours: Machine Learning on Graphs.
KDnuggets
AUGUST 12, 2019
Also: Deep Learning for NLP: ANNs, RNNs and LSTMs explained!; Machine Learning is Happening Now: A Survey of Organizational Adoption, Implementation, and Investment; 25 Tricks for Pandas; Getting Started with Data Science; Data Science: Scientific Discipline or Business Process?
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