KDnuggets

AUGUST 2, 2019

This cheatsheet should be easier to digest than the official documentation and should be a transitional tool to get students and beginners to get started reading documentations soon.

Deep Learning 123

Deep Learning Python 123

Confluent

AUGUST 1, 2019

The Kafka Streams API boasts a number of capabilities that make it well suited for maintaining the global state of a distributed system. At Imperva, we took advantage of Kafka Streams to build shared state microservices that serve as fault-tolerant, highly available single sources of truth about the state of objects in our system. Why we chose Kafka Streams.

Kafka 20

Kafka Systems Building Metadata 20

Data Engineering Podcast

JULY 28, 2019

Summary The ETL pattern that has become commonplace for integrating data from multiple sources has proven useful, but complex to maintain. For a small number of sources it is a tractable problem, but as the overall complexity of the data ecosystem continues to expand it may be time to identify new ways to tame the deluge of information. In this episode Tim Ward, CEO of CluedIn, explains the idea of eventual connectivity as a new paradigm for data integration.

Data Integration 100

Data Integration Metadata Architecture Media 100

Netflix Tech

JULY 30, 2019

v2.0 and beyond By Anoop Panicker and Kishore Banala Conductor is a workflow orchestration engine developed and open-sourced by Netflix. If you’re new to Conductor, this earlier blogpost and the documentation should help you get started and acclimatized to Conductor. Netflix Conductor: A microservices orchestrator In the last two years since inception, Conductor has seen wide adoption and is instrumental in running numerous core workflows at Netflix.

Metadata 76

Metadata Media AWS Transportation 76

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

Data

KDnuggets

JULY 31, 2019

I had a feeling that R has developed as a language to such a degree that many of us are using it now in completely different ways. This means that there are likely to be numerous tricks, packages, functions, etc that each of us use, but that others are completely unaware of, and would find useful if they knew about them.

IT 123

IT Data Science Data 123

Confluent

JULY 31, 2019

Delivers the new Confluent Operator for cloud-native automation on Kubernetes, a redesigned Confluent Control Center user interface to simplify how you manage event streams, and a preview of Role-Based Access Control for enterprise-grade security. Over the past year, we’ve been amazed at how fast Confluent Platform has matured within our user base—both in terms of size and criticality of deployments.

Kafka 19

Kafka Cloud Accessible Accessibility 19

Pandora Engineering

JULY 29, 2019

Credit: Kanok Sulaiman Disclaimer: These are my experiences from being a Pandora software developer intern in the summer of 2019. All opinions expressed are my own, and represent no one except myself. I recently spent the last summer of my undergraduate program as an intern for Pandora Media in Oakland, CA. I gained a lot from my experience, and I’m writing this post to detail the application process, the lessons that I learned, and the company culture.

Java 52

Java Recruitment Algorithm Computer Science 52

KDnuggets

AUGUST 2, 2019

Lessons learned from repeatedly smashing my head with a 2-meter long metal pole for a college engineering course.

Data Science 123

Data Science Data Engineering Education 123

Rockset

JULY 30, 2019

Published on Forbes All businesses today are a series of real-time events. But what separates the good from the great is how they capture and operationalize that data. Companies like Uber have talked in-depth about how they use real-time analytics to create seamless trip experiences, from determining the most convenient rider pick-up points to predicting the fastest routes.

BI 40

BI Medical Manufacturing Retail 40

Teradata

JULY 30, 2019

It's not enough just to drive personalization in your marketing efforts, you need to take a multi-dimensional approach. Find out why it's worth the investment.

IT 49

IT 49

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

Systems

KDnuggets

JULY 30, 2019

The Tensor Processing Unit (TPU) is Google's custom tool to accelerate machine learning workloads using the TensorFlow framework. Learn more about what TPUs do and how they can work for you.

Process 123

Process Machine Learning 123

KDnuggets

JULY 29, 2019

Check out our latest Top 10 Most Popular Data Science and Machine Learning podcasts available on iTunes. Stay up to date in the field with these recent episodes and join in with the current data conversations.

Machine Learning 123

Machine Learning Data Science Data 123

KDnuggets

AUGUST 1, 2019

Object detection has been applied widely in video surveillance, self-driving cars, and object/people tracking. In this piece, we’ll look at the basics of object detection and review some of the most commonly-used algorithms and a few brand new approaches, as well.

Algorithm 122

Algorithm 122

KDnuggets

JULY 29, 2019

At my workplace, we produce a lot of functional prototypes for our clients. Because of this, I often need to make Small Data go a long way. In this article, I’ll share 7 tips to improve your results when prototyping with small datasets.

Datasets 122

Datasets Data 122

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

Manufacturing

KDnuggets

AUGUST 1, 2019

By mixing simple concepts of object-oriented programming, like functionalization and class inheritance, you can add immense value to a deep learning prototyping code.

Deep Learning 122

Deep Learning Programming Coding Python 122

KDnuggets

AUGUST 1, 2019

Getting trained neural networks to be deployed in applications and services can pose challenges for infrastructure managers. Challenges like multiple frameworks, underutilized infrastructure and lack of standard implementations can even cause AI projects to fail. This blog explores how to navigate these challenges.

Deep Learning 122

Deep Learning Project Management 122

KDnuggets

AUGUST 2, 2019

The future is here! Speed up your Machine Learning workflow using Python RAPIDS libraries support.

Machine Learning 121

Machine Learning Data Analytics Python Data 121

KDnuggets

JULY 30, 2019

Data Scientists need computing power. Whether you’re processing a big dataset with Pandas or running some computation on a massive matrix with Numpy, you’ll need a powerful machine to get the job done in a reasonable amount of time.

Data Science 120

Data Science Datasets Data Process 120

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Data Engineer

KDnuggets

JULY 31, 2019

You can do more data science than you think from the terminal.

Data Science 116

Data Science Data 116

KDnuggets

AUGUST 1, 2019

A machine learning model that predicts some outcome provides value. One that explains why it made the prediction creates even more value for your stakeholders. Learn how Interpretable and Explainable ML technologies can help while developing your model.

Machine Learning 114

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KDnuggets

JULY 31, 2019

We put an AutoML tool to the test on a real-world problem, and the results are surprising. Even with automatic machine learning, you still need expert data scientists.

Machine Learning 106

Machine Learning Data 106

KDnuggets

JULY 30, 2019

This technical webinar on Aug 14 discusses traditional and modern approaches for interpreting black box models. Additionally, we will review cutting edge research coming out of UCSF, CMU, and industry.

Data Science 98

Data Science Data Machine Learning 98

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

Data

KDnuggets

JULY 30, 2019

This article is designed to give you a full picture from constructing a hypothesis testing to understanding p-value and using that to guide our decision making process.

Data 97

Data Designing Process Data Science 97

KDnuggets

JULY 29, 2019

This free ebook is a great resource for data science beginners, providing a good introduction into Python, coding with Raspberry Pi, and using Python to building predictive models.

Python 82

Python Data Science Coding Building 82

KDnuggets

JULY 29, 2019

Recently, AI researchers from Microsoft open sourced the Decentralized & Collaborative AI on Blockchain project that enables the implementation of decentralized machine learning models based on blockchain technologies.

Machine Learning 73

Machine Learning Building Technology Project 73

KDnuggets

AUGUST 2, 2019

This online course is available – for free – to anyone interested in building practical skills in using data to solve problems better.

Building 66

Building Education Data 66

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

Software Engineer

KDnuggets

JULY 31, 2019

How Netflix works: the (hugely simplified) complex stuff that happens every time; Top Certificates and Certifications in Analytics, Data Science, ML; Nothing but NumPy: Understanding &Creating Neural Networks with Computation.

Certification 64

Certification Data Science Data 64

KDnuggets

AUGUST 2, 2019

South Dakota State University is seeking a Data Visualization Developer and Analyst in Brookings, SD, to create business intelligence tools and reports to support the use of a campus-wide business intelligence and decision support system, compile multiple visualizations into intuitive dashboards for campus-wide use, and more.

Business Intelligence 58

Business Intelligence Data Systems 58

KDnuggets

JULY 29, 2019

Seeking a Lecturer / Sr Lecturer for the Monash Blockchain Technology Centre (Monash BTC): a visionary enterprise that will bring together world-leading expertise from across Monash to explore, develop and innovate the technology of blockchain, in collaboration with various industry and societal sectors.

Technology 56

Technology 56

KDnuggets

JULY 31, 2019

Learn the essential skills needed to become a Data Science rockstar; Understand CNNs with Python + Tensorflow + Keras tutorial; Discover the best podcasts about AI, Analytics, Data Science; and find out where you can get the best Certificates in the field.

Data Science 54

Data Science Certification Python Data 54

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