KDnuggets

AUGUST 30, 2019

Let’s take a look on what R users are saying about their salaries. Note that the following results could be biased because of unrepresentative and in some cases small samples.

123

123

Confluent

AUGUST 29, 2019

We know that Apache Kafka ® is great when you’re dealing with streams, allowing you to conveniently look at streams as tables. Stream processing engines like KSQL furthermore give you the ability to manipulate all of this fluently. But what about when the relationships between items dominate your application? For example, in a social network, understanding the network means we need to look at the friend relationships between people.

Kafka 55

Kafka Process Algorithm Cloud 55

Data Engineering Podcast

AUGUST 26, 2019

Summary Data engineers are responsible for building tools and platforms to power the workflows of other members of the business. Each group of users has their own set of requirements for the way that they access and interact with those platforms depending on the insights they are trying to gather. Benn Stancil is the chief analyst at Mode Analytics and in this episode he explains the set of considerations and requirements that data analysts need in their tools and.

Data Analytics 100

Data Analytics Building Media Data Engineer 100

Teradata

AUGUST 27, 2019

How can a Digital CFO break down the silos in the Bank and support the digital agenda in transforming the customer journey? Read more from our experts!

Finance 53

Finance Banking 53

Advertisement

Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

Architecture

KDnuggets

AUGUST 30, 2019

Implement some of the core OOP principles in a machine learning context by building your own Scikit-learn-like estimator, and making it better.

Programming 123

Programming Building Machine Learning Data 123

Confluent

AUGUST 27, 2019

We are excited to announce the release of Confluent Cloud Schema Registry in general availability (GA), available in Confluent Cloud , our fully managed event streaming service based on Apache Kafka ®. Before we dive into Confluent Cloud Schema Registry, let’s recap what Confluent Schema Registry is and does. Confluent Schema Registry provides a serving layer for your metadata and a RESTful interface for storing and retrieving Avro schemas.

Cloud 18

Cloud Kafka Electronics Metadata 18

Teradata

AUGUST 25, 2019

What is the value of self-service analytics in your organization? What personas provide the most value & where should a business focus its resources? Read more.

IT 49

IT 49

KDnuggets

AUGUST 29, 2019

The sample data used for training has to be as close a representation of the real scenario as possible. There are many factors that can bias a sample from the beginning and those reasons differ from each domain (i.e. business, security, medical, education etc.).

Machine Learning 123

Machine Learning Medical Education Data 123

KDnuggets

AUGUST 29, 2019

With the pervasive important of NLP in so many of today's applications of deep learning, find out how advanced translation techniques can be further enhanced by transformers and attention mechanisms.

Deep Learning 123

Deep Learning 123

KDnuggets

AUGUST 30, 2019

Emoji is becoming a global language understandable by anyone who expresses. emotion. With the pervasiveness of these little Unicode blocks, we can perform analytics on their use throughout social media to gain insight into sentiments around the world.

Media 123

Media 123

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

AUGUST 26, 2019

Visually-displayed data is much more accessible, and it’s criticalto promptly identify the weaknesses of an organization, accurately forecasttrading volumes and sale prices, or make the right business choices.

Data 123

Data Accessibility Accessible 123

KDnuggets

AUGUST 29, 2019

Techniques for creating new features, detecting outliers, handling imbalanced data, and impute missing values.

Engineering 123

Engineering Data Python 123

KDnuggets

AUGUST 26, 2019

Learn how probabilistic data structures and algorithms can be used for cardinality estimation in Big Data streams.

Big Data 122

Big Data Algorithm Data 122

KDnuggets

AUGUST 27, 2019

Despite the increasing demand and appetite for experienced data scientists, the job is ambiguously described most of the times. Also, the delineation between data science and data analytics or engineering is still loosely defined by a lot of hiring managers.

Data Science 122

Data Science Data Data Analytics Engineering 122

Advertisement

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.

Cloud

KDnuggets

AUGUST 27, 2019

With substantial changes coming with TensorFlow 2.0, and the release candidate version now available, learn more in this guide about the major updates and how to get started on the machine learning platform.

Machine Learning 122

Machine Learning Deep Learning 122

KDnuggets

AUGUST 26, 2019

Here are some ways you can make the case to your boss that analytics investments are smart for your company to pursue.

Data Analytics 121

Data Analytics Data 121

KDnuggets

AUGUST 27, 2019

Recently, AI researchers from IBM open sourced AI Explainability 360, a new toolkit of state-of-the-art algorithms that support the interpretability and explainability of machine learning models.

Machine Learning 113

Machine Learning Algorithm 113

KDnuggets

AUGUST 28, 2019

New KDnuggets poll asks 1) What Data Science/Machine Learning-related skills you currently have, and 2) Which skills you want to add or improve? If you are human, please vote and we will analyze and publish the results.

Data Science 108

Data Science Machine Learning Data 108

Advertisement

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

KDnuggets

AUGUST 26, 2019

Over the past few years, artificial intelligence continues to be one of the hottest topics. And in order to work effectively with it, you need to understand its constituent parts.

Deep Learning 101

Deep Learning Machine Learning IT 101

KDnuggets

AUGUST 30, 2019

As a media partner for O'Reilly, KDnuggets is pleased to offer to our readers a chance to win a 2-day Bronze Conference pass to either Strata Data NYC or TensorFlow in Santa Clara. Enter by Sep 8, 2019.

Media 93

Media Data 93

KDnuggets

AUGUST 28, 2019

Human pose estimation refers to the process of inferring poses in an image. Essentially, it entails predicting the positions of a person’s joints in an image or video. This problem is also sometimes referred to as the localization of human joints.

Process 92

Process IT 92

KDnuggets

AUGUST 28, 2019

Algorithms Notes for Professionals - Free Book; 10 simple Linux tips which save 50% of my time in the command line; Why so many #DataScientists are leaving their jobs; Order Matters: Alibaba Transformer-based Recommender System.

Algorithm 78

Algorithm Systems 78

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Data

KDnuggets

AUGUST 26, 2019

Also: Deep Learning for NLP: Creating a Chatbot with Keras!; Understanding Decision Trees for Classification in Python; How to Become More Marketable as a Data Scientist; Is Kaggle Learn a Faster Data Science Education?

Deep Learning 56

Deep Learning Education SQL Data Science 56

KDnuggets

AUGUST 28, 2019

Most useful SQL features for Data Scientist; Excellent tutorial on creating neural nets from scratch with Numpy; TensorFlow 2.0 highlights, explained; How to sell your boss on Data Analytics; and more.

SQL 53

SQL Data Analytics Data 53

Rockset

AUGUST 27, 2019

Amazon DynamoDB is a managed NoSQL database in the AWS cloud that delivers a key piece of infrastructure for use cases ranging from mobile application back-ends to ad tech. DynamoDB is optimized for transactional applications that need to read and write individual keys but do not need joins or other RDBMS features. For this subset of requirements, DynamoDB offers a way to have a virtually infinitely scalable datastore that requires minimal maintenance.

NoSQL 40

NoSQL Relational Database AWS Retail 40

KDnuggets

AUGUST 29, 2019

Centralized AI is giving way to more democratic AI systems, which are becoming more and more accessible to data scientists, both through code and through open ecosystems.

Coding 122

Coding Accessibility Accessible Systems 122

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

Manufacturing