Sat.Oct 19, 2019 - Fri.Oct 25, 2019

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Data Orchestration For Hybrid Cloud Analytics

Data Engineering Podcast

Summary The scale and complexity of the systems that we build to satisfy business requirements is increasing as the available tools become more sophisticated. In order to bridge the gap between legacy infrastructure and evolving use cases it is necessary to create a unifying set of components. In this episode Dipti Borkar explains how the emerging category of data orchestration tools fills this need, some of the existing projects that fit in this space, and some of the ways that they can work to

Cloud 100
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Everything a Data Scientist Should Know About Data Management

KDnuggets

For full-stack data science mastery, you must understand data management along with all the bells and whistles of machine learning. This high-level overview is a road map for the history and current state of the expansive options for data storage and infrastructure solutions.

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Open-sourcing Polynote: an IDE-inspired polyglot notebook

Netflix Tech

Jeremy Smith , Jonathan Indig , Faisal Siddiqi We are pleased to announce the open-source launch of Polynote : a new, polyglot notebook with first-class Scala support, Apache Spark integration, multi-language interoperability including Scala, Python, and SQL, as-you-type autocomplete, and more. Polynote provides data scientists and machine learning researchers with a notebook environment that allows them the freedom to seamlessly integrate our JVM-based ML platform ?

Scala 93
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Teradata is Moving the Cloud Forward

Teradata

With four new offerings, Teradata is helping companies move from analytics to answers wherever they are on their cloud journey. Read more.

Cloud 66
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15 Modern Use Cases for Enterprise Business Intelligence

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?

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The Role of UX in Making Rockset the Shortest Path from Data to Applications

Rockset

At Rockset, our singular focus is to be the shortest (and most efficient) path from data to applications for our users. We recognize and truly believe that our success lies in the success of our users. We constantly think about improving our workflows, coming up with new ones and iterating on them in ways that takes the user experience to a whole new level.

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How YouTube is Recommending Your Next Video

KDnuggets

If you are interested in learning more about the latest Youtube recommendation algorithm paper, read this post for details on its approach and improvements.

Algorithm 123

More Trending

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Embracing the Darkness: Vantage Developer

Teradata

With our renewed focus on user experience, we’re applying user-centered design principles & conducting ethnographic research on key personas, starting with developers.

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Getting Started with Rust and Apache Kafka

Confluent

I’ve written an event sourcing bank simulation in Clojure (a lisp build for Java virtual machines or JVMs) called open-bank-mark , which you are welcome to read about in my previous blog post explaining the story behind this open source example. As a next step, specifically for this article I’ve added SSL and combined some topics together, using the subject name strategy option of Confluent Schema Registry , making it more production like, adding security, and making it possible to put multiple

Kafka 18
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Introduction to Natural Language Processing (NLP)

KDnuggets

Have you ever wondered how your personal assistant (e.g: Siri) is built? Do you want to build your own? Perfect! Let’s talk about Natural Language Processing.

Process 114
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Open-sourcing Polynote: an IDE-inspired polyglot notebook

Netflix Tech

Jeremy Smith , Jonathan Indig , Faisal Siddiqi We are pleased to announce the open-source launch of Polynote : a new, polyglot notebook with first-class Scala support, Apache Spark integration, multi-language interoperability including Scala, Python, and SQL, as-you-type autocomplete, and more. Polynote provides data scientists and machine learning researchers with a notebook environment that allows them the freedom to seamlessly integrate our JVM-based ML platform ?

Scala 40
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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.

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Survey: Success of Global Enterprise Depends on Adaptation to Hyper-Digitization

Teradata

A new study by Teradata and research firm, Vanson Bourne, shines a light on the market forces impacting the world's largest companies. Find out more.

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4 Steps to Creating Dynamic Kafka Connectors with the Kafka Connect API

Confluent

If you’ve worked with the Apache Kafka ® and Confluent ecosystem before, chances are you’ve used a Kafka Connect connector to stream data into Kafka or stream data out of it. While there is an ever-growing list of connectors available—whether Confluent or community supported?you still might find yourself needing to integrate with a technology for which no connectors exist.

Kafka 15
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Feature Selection: Beyond feature importance?

KDnuggets

In this post, you will see 3 different techniques of how to do Feature Selection to your datasets and how to build an effective predictive model.

Datasets 118
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Open Sourcing Mantis: A Platform For Building Cost-Effective, Realtime, Operations-Focused…

Netflix Tech

Open Sourcing Mantis: A Platform For Building Cost-Effective, Realtime, Operations-Focused Applications By Jeff Chao on behalf of the Mantis team Today we’re excited to announce that we’re open sourcing Mantis , a platform that helps Netflix engineers better understand the behavior of their applications to ensure the highest quality experience for our members.

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

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.

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Anomaly Detection, A Key Task for AI and Machine Learning, Explained

KDnuggets

One way to process data faster and more efficiently is to detect abnormal events, changes or shifts in datasets. Anomaly detection refers to identification of items or events that do not conform to an expected pattern or to other items in a dataset that are usually undetectable by a human expert.

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Intro to Adversarial Machine Learning and Generative Adversarial Networks

KDnuggets

In this crash course on GANs, we explore where they fit into the pantheon of generative models, how they've changed over time, and what the future has in store for this area of machine learning.

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5 Advanced Features of Pandas and How to Use Them

KDnuggets

The pandas library offers core functionality when preparing your data using Python. But, many don't go beyond the basics, so learn about these lesser-known advanced methods that will make handling your data easier and cleaner.

Python 86
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Time Series Analysis: A Simple Example with KNIME and Spark

KDnuggets

The task: train and evaluate a simple time series model using a random forest of regression trees and the NYC Yellow taxi dataset.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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How to Measure Foot Traffic Using Data Analytics

KDnuggets

You need to know how many people visit your store now and what sort of audience you're acquiring. Foot traffic data is going to be invaluable to the success of your business.

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Convolutional Neural Network for Breast Cancer Classification

KDnuggets

See how Deep Learning can help in solving one of the most commonly diagnosed cancer in women.

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How to Write Web Apps Using Simple Python for Data Scientists

KDnuggets

Convert your Data Science Projects into cool apps easily without knowing any web frameworks.

Python 87
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Bye Data Scientists, Hello AI? Not Likely!

KDnuggets

AI is becoming more mainstream. The fact that computers/robots will learn after being built and will surpass a human's intelligence is terrifying.

Data 66
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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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Addressing the Growing Need for Skills in Data Science

KDnuggets

To address the current difficulties in hiring data scientists due to their short supply, many companies can benefit from retraining existing analytically minded employees.

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Seven Myths About the True Costs of AI Systems

KDnuggets

While there is much excitement today around implementing AI at the enterprise level, the financial costs of this process are often unexpected and underappreciated. These seven myths are crucial lessons learned that executives should know before heading down the road to AI.

Systems 50
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KDnuggets™ News 19:n40, Oct 23: How to Become a (Good) Data Scientist; Writing Your First Neural Net in 30 Lines with Keras

KDnuggets

Read useful advice on how to become a good data scientist; see how you can write your 1st neural net in under 30 lines of Keras code; Understand why AI salaries are heading skywards and what skills you need for them; and read about key ideas and methods in anomaly detection.

Coding 47
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Harnessing Semiotics and Discourse Communities to Understand User Intent

KDnuggets

Semiotics helps us understand the importance of context to determining the meaning of a term and discourse communities provide us with the background context (mental model) by which to correctly interpret its meaning correctly.

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Business Intelligence 101: How To Make The Best Solution Decision For Your Organization

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

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Top KDnuggets tweets, Oct 16-22: How YouTube is Recommending Your Next Video

KDnuggets

Also: The 5 Classification Evaluation Metrics Every Data Scientist Must Know; How to Recognize a Good Data Scientist Job From a Bad One; How to Easily Deploy Machine Learning Models Using Flask.

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This Microsoft Neural Network can Answer Questions About Scenic Images with Minimum Training

KDnuggets

Recently, a group of AI experts from Microsoft Research published a paper proposing a method for scene understanding that combines two key tasks: image captioning and visual question answering (VQA).

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Top Stories, Oct 14-20: How to Become a (Good) Data Scientist Beginner Guide

KDnuggets

Also: The 5 Classification Evaluation Metrics Every Data Scientist Must Know; Artificial Intelligence: Salaries Heading Skyward; Writing Your First Neural Net in Less Than 30 Lines of Code with Keras; How to select rows and columns in Pandas using [ ],loc, iloc,at and.iat; The Last SQL Guide for Data Analysis You'll Ever Need.

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Samsung Tech Day: Today’s Electronic Devices Seem Magical, But the Real Super-Power is in Silicon

KDnuggets

Samsung’s Tech Day event showcases processor and memory advances for 5G, AI, Cloud and Edge Computing, Automotive, IoT, and more.

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Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.