Team Data Science

MARCH 15, 2020

I am taking you through my recent experience to find a dataset for my project. Industry Search To work with data, I need to narrow down the industry like health care, finance, insurance or other. I defined a few sources in my earlier blog post, which will give a sneak peek of techniques to extract industries. For Instance, most of the job listings introduce their job description as, One of the top insurance client looking for Data Engineer which exposes the industry.

Insurance 130

Insurance Datasets Banking Finance 130

KDnuggets

MARCH 19, 2020

Many cloud providers, and other third-party services, see the value of a Jupyter notebook environment which is why many companies now offer cloud hosted notebooks that are hosted on the cloud. Let's have a look at 3 such environments.

Deep Learning 154

Deep Learning Cloud Python 154

Teradata

MARCH 15, 2020

Advanced analytics and AI can significantly accelerate data processing required to get the insights, answers and recommendations to handle and address the COVID-19 pandemic.

Data Process 138

Data Process Process Data 138

Start Data Engineering

MARCH 20, 2020

This article gives you an overview of the 10 key skills you need to become a better data engineer. If you are struggling to get started on what to learn, start with the first topic and proceed through the list.

Data Engineering 100

Data Engineering Data Engineer Engineering Data 100

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

Data Engineering Podcast

MARCH 16, 2020

Summary CouchDB is a distributed document database built for scale and ease of operation. With a built-in synchronization protocol and a HTTP interface it has become popular as a backend for web and mobile applications. Created 15 years ago, it has accrued some technical debt which is being addressed with a refactored architecture based on FoundationDB.

Building 100

Building Data Warehouse NoSQL Data Lake 100

KDnuggets

MARCH 19, 2020

Where Test/Trace/Quarantine are working, the number of cases/day have declined empirically. Furthermore, this appears to be a radically superior strategy where it can be deployed. I’ll review the evidence, discuss the other strategies and their consequences, and then discuss what can be done.

IT 153

IT 153

Confluent

MARCH 18, 2020

As enterprises move more and more of their applications to the cloud, they are also moving their on-prem ETL (extract, transform, load) pipelines to the cloud, as well as building […].

Cloud 118

Cloud Building 118

Rockset

MARCH 19, 2020

Intro In recent years, Kafka has become synonymous with “streaming,” and with features like Kafka Streams, KSQL, joins, and integrations into sinks like Elasticsearch and Druid, there are more ways than ever to build a real-time analytics application around streaming data in Kafka. With all of these stream processing and real-time data store options, though, also comes questions for when each should be used and what their pros and cons are.

Kafka 40

Kafka Database Process SQL 40

KDnuggets

MARCH 16, 2020

Will AI always be 5-10 years away? The majority of respondents to this poll think that AutoML will reach expert level in 5-10 years. Interestingly, it is about the same as 5 years ago. We examine the trends by AutoML experience, industry, and region.

Data 149

Data IT Data Science 149

Teradata

MARCH 17, 2020

How Teradata is responding to the COVID-19 crisis for the health and well-being of its employees, customers and partners.

IT 59

IT 59

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

Confluent

MARCH 20, 2020

The latest ksqlDB release introduces long-awaited features such as tunable retention and grace period for windowed aggregates, new built-in functions including LATEST_BY_OFFSET, a peek at the new server API under […].

Process 98

Process 98

KDnuggets

MARCH 17, 2020

As the role of the data engineer continues to grow in the field of data science, so are the many tools being developed to support wrangling all that data. Five of these tools are reviewed here (along with a few bonus tools) that you should pay attention to for your data pipeline work.

Data Engineering 140

Data Engineering Data Engineer Engineering Project 140

KDnuggets

MARCH 18, 2020

An integrated BI system has a trickle-down effect on all business processes, especially reporting and analytics. Find out how integration can help you leverage the power of BI.

Business Intelligence 138

Business Intelligence Data Integration BI Data 138

KDnuggets

MARCH 20, 2020

What is it like to be a Data Scientist? There can be many hats to wear, and so many problems to solve that are fed with data, churned by data science, and guided by business results. Find out about lessons learned from one Data Scientist about how best to work and perform in the role.

Data Science 125

Data Science Data IT 125

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

MARCH 19, 2020

We introduce the FakeHealth, a new data repository for fake health news detection. Following a preliminary analysis to demonstrate its features, we consider additional potential directions for better identifying fake news.

Data 123

Data IT 123

KDnuggets

MARCH 18, 2020

This article discusses distinguishing between real financial time series and synthetic time series using XGBoost.

Finance 155

Finance 155

KDnuggets

MARCH 18, 2020

Support Vector Machines (SVMs) are powerful for solving regression and classification problems. You should have this approach in your machine learning arsenal, and this article provides all the mathematics you need to know -- it's not as hard you might think.

Machine Learning 122

Machine Learning Algorithm IT 122

KDnuggets

MARCH 20, 2020

The second article in this series focuses on building an Artificial Neural Network using the Numpy Python library.

Building 140

Building Python 140

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Project

KDnuggets

MARCH 20, 2020

We have compiled a list of some of the best (and free) machine learning books that will prove helpful for everyone aspiring to build a career in the field.

Machine Learning 123

Machine Learning Building 123

KDnuggets

MARCH 18, 2020

Most western countries are on the same #coronavirus trajectory; The Workers Who Face the Greatest #Coronavirus Risk; #Coronavirus, a Visual Rundown; How to start building an automated NLP solution for processing customer feedback.

Building 93

Building Process 93

KDnuggets

MARCH 16, 2020

Let’s see whether robots will become "grave diggers" of the proletariat, what do we lack to get total automation, and what compromises exist.

90

90

KDnuggets

MARCH 17, 2020

Kicking off with a series of forecasting stories, starting with seasonality and its business applications. This first article speaks of course corrections that were based on weather and calendar driven seasonality.

IT 82

IT 82

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

MARCH 20, 2020

At ODSC 2020, we are unveiling our first ever 4-day Global Virtual Conference, an online and on-demand version of ODSC. Here are our picks for 20 talks that show how diverse and thorough the ODSC East Global Virtual Conference will be this April 14-17.

Education 92

Education 92

KDnuggets

MARCH 18, 2020

A Data Science perspective on Covid-19, the novel coronavirus; The results and analysis of a previous KDnuggets Poll: When Will AutoML replace Data Scientists? How to build a mature Machine Learning team; The Most Useful Machine Learning Tools of 2020; and more.

Data Science 62

Data Science Machine Learning Data Building 62

KDnuggets

MARCH 18, 2020

Metis will break down Python for data science and analytics, explain what is driving adoption in the field, and discuss how industries and companies are reacting to the shift.

Python 62

Python Data Science Data 62

KDnuggets

MARCH 18, 2020

Friction can quickly arise as a result of these separate workflows and priorities. Given their differences, how can data science and IT more seamlessly work together in building a model-driven organization?

Data Science 61

Data Science IT Data Building 61

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

MARCH 16, 2020

Also: 50 Must-Read Free Books For Every Data Scientist in 2020; Decision Boundary for a Series of Machine Learning Models; 20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 2).

Data Science 55

Data Science Machine Learning Data 55

KDnuggets

MARCH 16, 2020

The framework uses a multi-hop QA method to answer complex questions by reasoning through Wikipedia’s datasets.

Datasets 65

Datasets 65

KDnuggets

MARCH 17, 2020

This article presents a particular vision for a cohesive data strategy for addressing large-scale problems with data-driven solutions, based on prior professional experiences.

Data 54

Data Data Science 54

KDnuggets

MARCH 19, 2020

We are excited to announce that ModelDB 2.0 is now available! We have learned a lot since building ModelDB 1.0, so we decided to rebuild from the ground up.

Building 50

Building Education 50

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