KDnuggets

OCTOBER 10, 2019

We illustrate how to show the activation maps of various layers in a deep CNN model with just a couple of lines of code.

Deep Learning 123

Deep Learning Coding Architecture Python 123

Confluent

OCTOBER 10, 2019

The Internet of Things (IoT) is getting more and more traction as valuable use cases come to light. A key challenge, however, is integrating devices and machines to process the data in real time and at scale. Apache Kafka ® and its surrounding ecosystem, which includes Kafka Connect, Kafka Streams, and KSQL, have become the technology of choice for integrating and processing these kinds of datasets.

Kafka 20

Kafka Google Cloud Architecture Machine Learning 20

Data Engineering Podcast

OCTOBER 7, 2019

Summary The process of exposing your data through a SQL interface has many possible pathways, each with their own complications and tradeoffs. One of the recent options is Rockset, a serverless platform for fast SQL analytics on semi-structured and structured data. In this episode CEO Venkat Venkataramani and SVP of Product Shruti Bhat explain the origins of Rockset, how it is architected to allow for fast and flexible SQL analytics on your data, and how their serverless platform can save you th

Structured Data 100

Structured Data Cloud SQL Programming Language 100

Teradata

OCTOBER 9, 2019

Teradata Workload Management automates changes in settings across processing windows as patterns of end user usage changes and as business requirements shift.

Process 16

Process Management 16

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

OCTOBER 7, 2019

Are you looking to learn natural language processing? This collection of 10 free top notch courses will allow you to do just that, with something for every approach to learning NLP and its varied topics.

Process 123

Process IT 123

Confluent

OCTOBER 7, 2019

This tutorial describes how to set up a sample Spring Boot application in Pivotal Application Service (PAS), which consumes and produces events to an Apache Kafka ® cluster running in Pivotal Container Service (PKS). With this tutorial, you can set up your PAS and PKS configurations so that they work with Kafka. For a tutorial on how to set up a Kafka cluster in PKS, please see How to Deploy Confluent Platform on Pivotal Container Service (PKS) with Confluent Operator.

Kafka 18

Kafka Java Coding Accessible 18

Teradata

OCTOBER 7, 2019

Companies must think about the future of personalization and how to modernize their current systems to combat over-choice in the market. Find out how.

Systems 12

Systems 12

KDnuggets

OCTOBER 7, 2019

As a data scientist, your most important skill is creating meaningful visualizations to disseminate knowledge and impact your organization or client. These seven principals will guide you toward developing charts with clarity, as exemplified with data from a recent KDnuggets poll.

Data Science 123

Data Science Data Java Python 123

Confluent

OCTOBER 9, 2019

Last week, the Kafka Summit hosted nearly 2,000 people from 40 different countries and 595 companies—the largest Summit yet. By the numbers, we got to enjoy four keynote speakers, 56 sessions, 75 speakers, 38 sponsors, and one big party, including the classic Apache Kafka ® ice sculpture, per the traditions handed down to us. (I guess we handed those traditions down to ourselves in this case, but still.).

Kafka 17

Kafka Software Engineering Software Engineer Data Pipeline 17

Preset

OCTOBER 8, 2019

Preset Announcement

Systems 40

Systems 40

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

OCTOBER 8, 2019

In this article, we’ll try to cover everything related to Artificial Neural Networks or ANN.

122

122

KDnuggets

OCTOBER 9, 2019

Why I love boring ML problems and how I think about them.

Data Science 114

Data Science Data Machine Learning 114

KDnuggets

OCTOBER 9, 2019

Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer.

Programming 114

Programming 114

KDnuggets

OCTOBER 9, 2019

By the end of my week with the team, I managed to proudly cut two PRs on GitHub. I decided that I would write a blog post to knowledge share, not just to show that YES, you can too.

Management 111

Management Python 111

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

OCTOBER 10, 2019

While you may be focused on your performance during your next job interview, landing that interview can be just as hard. Check out these tips for finding and securing an interview for a machine learning job.

Machine Learning 109

Machine Learning 109

KDnuggets

OCTOBER 11, 2019

The practice of optimizing metrics is not new nor unique to AI, yet AI can be particularly efficient (even too efficient!) at doing so.

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108

KDnuggets

OCTOBER 11, 2019

You have heard the expression “there is no such thing as a free lunch” – well in machine learning the same principle holds. In fact there is even a theorem with the same name.

Machine Learning 106

Machine Learning Deep Learning 106

KDnuggets

OCTOBER 9, 2019

Being really good at scoping analytics projects is crucial for team productivity and profitability. You can consistently deliver on time if you work out the issue first, and these four questions can help you prepare.

Project 105

Project Engineering Data Engineer Data Engineering 105

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With Airflow being the open-source standard for workflow orchestration, knowing how to write Airflow DAGs has become an essential skill for every data engineer. This eBook provides a comprehensive overview of DAG writing features with plenty of example code. You’ll learn how to: Understand the building blocks DAGs, combine them in complex pipelines, and schedule your DAG to run exactly when you want it to Write DAGs that adapt to your data at runtime and set up alerts and notifications Scale you

Data Engineering

KDnuggets

OCTOBER 11, 2019

This literature review on document embedding techniques thoroughly covers the many ways practitioners develop rich vector representations of text -- from single sentences to entire books.

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101

KDnuggets

OCTOBER 8, 2019

As so many more organizations now rely on AI to deliver services and consumer experiences, establishing a public trust in the AI is crucial as these systems begin to make harder decisions that impact customers.

Systems 99

Systems 99

KDnuggets

OCTOBER 10, 2019

If we want a machine learning model to be able to generalize these forms together, we need to map them to a shared representation. But when are two different words the same for our purposes? It depends.

Machine Learning 96

Machine Learning IT 96

KDnuggets

OCTOBER 7, 2019

Having trouble explaining why applied math matters to your non-specialist friends and colleagues? As valued members of the applied math community and ambassadors of SIAM, review these short animations and share them with your interested networks! Help us show that math matters and why.

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91

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

OCTOBER 10, 2019

In this article, we’ll outline just a few of the most important topics in data science that our speakers will be presenting on at ODSC West Oct 29 - Nov 1 in San Francisco.

Data Science 86

Data Science Data 86

KDnuggets

OCTOBER 8, 2019

To build an effective learning model, it is must to understand the quality issues exist in data & how to detect and deal with it. In general, data quality issues are categories in four major sets.

Data 85

Data Building Data Preparation IT 85

Confluent

OCTOBER 8, 2019

As the head of global customer marketing at Confluent, I tell people I have the best job. As we provide a complete event streaming platform that is radically changing how companies handle data, I get to work with customers in almost every industry, partner closely with our sales teams, and learn from and be inspired by the event streaming community.

Building 16

Building Kafka Data Warehouse Project 16

KDnuggets

OCTOBER 7, 2019

OpenAI trained agents in a simple game of hide-and-seek and learned many other different skills in the process.

Process 81

Process 81

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

OCTOBER 8, 2019

Also: 10 Great Python Resources for Aspiring Data Scientists; Python Libraries for Interpretable Machine Learning.

Python 80

Python Machine Learning Data 80

KDnuggets

OCTOBER 11, 2019

In this upcoming webinar on Oct 23 @ 10 AM PT, learn why you should invest time in monitoring your machine learning models, the dangers of not paying attention to how a model’s performance can change over time, metrics you should be gathering for each model and what they tell you, and much more.

Machine Learning 74

Machine Learning 74

KDnuggets

OCTOBER 8, 2019

At Predictive Analytics World London, 16-17 Oct, you'll discover topics tailored for your needs, whether you're an expert practitioner or a newcomer. Use the code KDNUGGETS for a 15% discount on your Predictive Analytics World ticket.

Coding 66

Coding 66

KDnuggets

OCTOBER 7, 2019

Also: How AI will transform healthcare (and can it fix the US healthcare system?); Choosing the Right Clustering Algorithm for your Dataset; DeepMind Has Quietly Open Sourced Three New Impressive Reinforcement Learning Frameworks; A European Approach to Masters Degrees in Data Science; The Future of Analytics and Data Science.

Healthcare 58

Healthcare Data Analysis Data Science SQL 58

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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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