KDnuggets

NOVEMBER 28, 2019

Open source is becoming the standard for sharing and improving technology. Some of the largest organizations in the world namely: Google, Facebook and Uber are open sourcing their own technologies that they use in their workflow to the public.

Data Science 158

Data Science Project Technology Data 158

Data Engineering Podcast

NOVEMBER 26, 2019

Summary The team at Sentry has built a platform for anyone in the world to send software errors and events. As they scaled the volume of customers and data they began running into the limitations of their initial architecture. To address the needs of their business and continue to improve their capabilities they settled on Clickhouse as the new storage and query layer to power their business.

Data Warehouse 100

Data Warehouse Building PostgreSQL Kafka 100

Uber Engineering

NOVEMBER 26, 2019

When something goes wrong with a piece of code, engineers want to know all the relevant details of the error immediately so they can get right to work remedying the malfunction. . However, as technology has advanced, measuring system metrics and … The post Optimizing Observability with Jaeger, M3, and XYS at Uber appeared first on Uber Engineering Blog.

Engineering 110

Engineering Coding Technology Systems 110

Confluent

NOVEMBER 25, 2019

Potential advantages of hybrid cloud architectures include avoiding vendor lock-in, increasing system resilience, optimizing costs, and inducing price competition among cloud providers. Hybrid cloud architectures require the ability to securely […].

Architecture 100

Architecture Cloud Systems 100

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KDnuggets

NOVEMBER 28, 2019

This article will walk through an extractive text summarization process, using a simple word frequency approach, implemented in Python.

Python 157

Python Process 157

InData Labs

NOVEMBER 26, 2019

Today we witness new technologies arising and new tendencies influencing the way we work and live. In order to stay competitive, it’s important to be aware of the latest trends, maintain a level of strong expertise, and offer best-in-class services. Our team is always striving to move with the times and keep all modern requirements. Запись TDA Announces InData Labs as the Winners in Global Agency Awards впервые появилась InData Labs.

Technology 52

Technology Data Engineering Data Engineer Engineering 52

KDnuggets

NOVEMBER 27, 2019

Also: Deep Learning for Image Classification with Less Data; How to Speed up Pandas by 4x with one line of code; 25 Useful #Python Snippets to Help in Your Day-to-Day Work; Automated Machine Learning Project Implementation Complexities.

Coding 124

Coding Deep Learning Machine Learning Python 124

KDnuggets

NOVEMBER 29, 2019

Where does Java stand in the world of artificial intelligence, machine learning, and deep learning? Learn more about how to do these things in Java, and the libraries and frameworks to use.

Deep Learning 112

Deep Learning Java Machine Learning 112

KDnuggets

NOVEMBER 29, 2019

PyTorch Lightning is a lightweight framework which allows anyone using PyTorch to scale deep learning code easily while making it reproducible. In this tutorial we’ll use Huggingface's implementation of BERT to do a finetuning task in Lightning.

Deep Learning 108

Deep Learning Coding IT Python 108

KDnuggets

NOVEMBER 26, 2019

This post will describe various simplifications of Bayes' Theorem, that make it more practical and applicable to real world problems: these simplifications are known by the name of Naive Bayes. Also, to clarify everything we will see a very illustrative example of how Naive Bayes can be applied for classification.

IT 108

IT 108

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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

NOVEMBER 28, 2019

Sebastian Thrun, the founder of Udacity, ruined my machine learning project and wedding.

Machine Learning 150

Machine Learning Project 150

KDnuggets

NOVEMBER 25, 2019

With all the hype from data science vendors selling "actionable insights" to boost your company's bottom line, selecting your analytics partner should proceed through the same, careful process as any traditional business endeavor. Follow these questions and best practices to ensure you manage accordingly.

Data Science 103

Data Science Management Data Process 103

KDnuggets

NOVEMBER 27, 2019

A Pipeline is specified as a sequence of stages, and each stage is either a Transformer or an Estimator. These stages are run in order, and the input DataFrame is transformed as it passes through each stage. Now let’s see how this can be done in Spark NLP using Annotators and Transformers.

IT 97

IT 97

KDnuggets

NOVEMBER 25, 2019

In this article, we want to highlight some key data science use cases in marketing. Let us concentrate on several instances that present particular interest and managed to prove their efficiency in the course of time.

Data Science 100

Data Science Data Management 100

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

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

NOVEMBER 26, 2019

Weighting is a technique for improving models. In this article, learn more about what weighting is, why you should (and shouldn’t) use it, and how to choose optimal weights to minimize business costs.

Machine Learning 94

Machine Learning IT 94

KDnuggets

NOVEMBER 27, 2019

As the fields of data science and analysis continue to expand, the next crop of bright minds is always needed. Learn more about the nuances of these jobs and find where you can fit in for a rewarding and interesting career.

Data Science 92

Data Science Data 92

KDnuggets

NOVEMBER 29, 2019

Read this article on training Markov chains to generate George R. R. Martin style text.

115

115

KDnuggets

NOVEMBER 26, 2019

A guide to build a content-based movie recommender model based on NLP.

Process 112

Process Building Systems Python 112

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

KDnuggets

NOVEMBER 27, 2019

This is a summary of a recent paper on an age-old topic: what visualisation should I use? No prizes for guessing “it depends!” Is this the paper to finally settle the age-old debate surrounding pie-charts??

IT 67

IT Data 67

KDnuggets

NOVEMBER 26, 2019

Join this live webinar: Fast, Agile, Service-Driven Insurance: Fuse Innovative Tech to Your Company DNA - AI, Chatbots, Automation and More, Dec 11 at 10:00am EST, to get actionable insight to develop your strategy.

Insurance 67

Insurance 67

KDnuggets

NOVEMBER 25, 2019

Google recently published some work about modeling attention mechanisms in deep neural networks.

97

97

KDnuggets

NOVEMBER 28, 2019

A classic KDnuggets Thanksgiving cartoon examines the predicament of one group of fowl Data Scientists.

Big Data 85

Big Data Data Science Data 85

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KDnuggets

NOVEMBER 27, 2019

This week: Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead; Advice for New and Junior Data Scientists; Python Tuples and Tuple Methods; Can Neural Networks Develop Attention? Google Thinks they Can; Three Methods of Data Pre-Processing for Text Classification.

Machine Learning 61

Machine Learning Python Data Process 61

KDnuggets

NOVEMBER 25, 2019

Also: Automated Machine Learning Project Implementation Complexities; Text Encoding: A Review; The Notebook Anti-Pattern; Data Science for Managers: Programming Languages; 10 Free Must-read Books on AI.

Programming Language 45

Programming Language Coding Machine Learning Data Science 45