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

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

Preset

OCTOBER 8, 2019

Preset Announcement

Systems 40

Systems 40

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

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.

Data Science

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

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 120

Data Science Data Java Python 120

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 Engineer Software Engineering Data Pipeline 17

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 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 97

Management Python 97

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 96

Machine Learning 96

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.

Engineering

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 117

Deep Learning Coding Architecture Python 117

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 93

Machine Learning Deep Learning 93

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 100

Programming 100

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 88

Project Engineering Data Engineering Data Engineer 88

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.

Building

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 86

Machine Learning IT 86

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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84

KDnuggets

OCTOBER 8, 2019

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

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116

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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95

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Project

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 78

Systems 78

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 76

Data Science Data 76

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 70

Data Building Data Preparation Datasets 70

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 62

Machine Learning 62

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

Building

KDnuggets

OCTOBER 9, 2019

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

Data Science 99

Data Science Data Machine Learning 99

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 55

Coding 55

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.

Data Analysis 50

Data Analysis Healthcare Data Science SQL 50

KDnuggets

OCTOBER 9, 2019

Read a comprehensive SQL guide for data analysis; Learn how to choose the right clustering algorithm for your data; Find out how to create a viral DataViz using the data from Data Science Skills poll; Enroll in any of 10 Free Top Notch Natural Language Processing Courses; and more.

Data Analysis 50

Data Analysis SQL Data Science Algorithm 50

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.

Certification

KDnuggets

OCTOBER 9, 2019

Also: 12 things I wish I'd known before starting as a Data Scientist; 10 Free Top Notch Natural Language Processing Courses; The Last SQL Guide for Data Analysis; The 4 Quadrants of #DataScience Skills and 7 Principles for Creating a Viral DataViz.

Python 49

Python Data Analysis SQL Engineering 49

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 64

Process 64

KDnuggets

OCTOBER 8, 2019

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

Python 62

Python Machine Learning Data 62

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

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Building