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

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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.

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Deep Learning for Everyone: Master the Powerful Art of Transfer Learning using PyTorch

Analytics Vidhya

Overview The art of transfer learning could transform the way you build machine learning and deep learning models Learn how transfer learning works using. The post Deep Learning for Everyone: Master the Powerful Art of Transfer Learning using PyTorch appeared first on Analytics Vidhya.

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Why Businesses Should Turn to Data to Fight Climate Change

Dataconomy

Businesses can contribute to reducing climate change if they focus on collecting and analyzing data around refrigerant use, particularly within the supply change. Refrigerant usage and waste rates play one of the most damaging roles in climate change. When we don’t understand what’s contributing to a problem, it’s nearly impossible. The post Why Businesses Should Turn to Data to Fight Climate Change appeared first on Dataconomy.

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Data Science Fails: There's No Such Thing As A Free Lunch

DataRobot

When I was young, I took a packed lunch to school every day, and since I grew up in Australia, my packed lunch would include a couple of Vegemite sandwiches. Unless you grew up in Australia, you’ve probably never tasted it. And judging by this American’s first taste reaction of “Oh, that’s bad!”, you probably wouldn’t like the taste if you tried it out.

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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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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.

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Regime Shift Models – A Fascinating Use Case of Time Series Modeling

Analytics Vidhya

This article is written by Sonam Srivastava. She is one of the eminent speakers at DataHack Summit 2019, where she will be talking about. The post Regime Shift Models – A Fascinating Use Case of Time Series Modeling appeared first on Analytics Vidhya.

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AI Experience London: Sky UK

DataRobot

If you missed out on AI Experience London 2019 this year, we had an impressive lineup of customer speakers discussing their unique AI use cases. One such customer is Sky UK, a British media and telecommunications conglomerate headquartered in London.

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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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You Can’t Miss these 4 Powerful Reinforcement Learning Sessions at DataHack Summit 2019

Analytics Vidhya

“If intelligence was a cake, unsupervised learning would be the cake, supervised learning would be the icing on the cake, and reinforcement learning would. The post You Can’t Miss these 4 Powerful Reinforcement Learning Sessions at DataHack Summit 2019 appeared first on Analytics Vidhya.

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Interview with Ines Montani

Explosion

Ines talks about how she got into programming, how to stay up to date with the latest developments in our field and the ideas behind the PyCon India keynote “Let Them Write Code”.

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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5 Automated Machine Learning Solutions for P&C Blog Post

DataRobot

Insurance companies around the world are adopting AI throughout their businesses because they know that they can either lead the Fourth Industrial Revolution or fall behind the competition. In a marketplace where the average P&C combined ratio is hovering close to 99 points, a single point improvement is exceptional and a dramatic increase in profitability.

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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.

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Exclusive Interview with Dr. Sunil Kumar Vuppala – A Deep Learning Expert and IoT Veteran

Analytics Vidhya

Introduction There are multiple ways to learn data science, machine learning and deep learning concepts. You can watch videos, read articles, enroll in courses, The post Exclusive Interview with Dr. Sunil Kumar Vuppala – A Deep Learning Expert and IoT Veteran appeared first on Analytics Vidhya.

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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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How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

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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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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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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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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.

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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

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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.

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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.

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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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Top 5 Winning Solutions and Approaches from AmExpert 2019 – Feature Engineering Special!

Analytics Vidhya

Overview Presenting the top five winning solutions and approaches from the AmExpert 2019 hackathon The problem statement was from the retail industry and geared. The post Top 5 Winning Solutions and Approaches from AmExpert 2019 – Feature Engineering Special! appeared first on Analytics Vidhya.

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The 2nd Generation of Innovation Management: A Survival Guide

Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?

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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.

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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.

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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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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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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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Apache Airflow® Best Practices: DAG Writing

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!