KDnuggets

OCTOBER 22, 2019

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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Analytics Vidhya

OCTOBER 21, 2019

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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Dataconomy

OCTOBER 21, 2019

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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Big Data Big Data 127

DataRobot

OCTOBER 25, 2019

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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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

AI

KDnuggets

OCTOBER 21, 2019

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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Algorithm 308

Analytics Vidhya

OCTOBER 22, 2019

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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Analytics Analytics Python 206

Explosion

OCTOBER 22, 2019

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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KDnuggets

OCTOBER 25, 2019

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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Natural Language Processing 297

Analytics Vidhya

OCTOBER 23, 2019

“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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Supervised Learning Analytics Analytics 184

DataRobot

OCTOBER 22, 2019

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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AI AI 13

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Database

KDnuggets

OCTOBER 24, 2019

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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KDnuggets

OCTOBER 21, 2019

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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KDnuggets

OCTOBER 23, 2019

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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KDnuggets

OCTOBER 25, 2019

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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Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

KDnuggets

OCTOBER 23, 2019

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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KDnuggets

OCTOBER 23, 2019

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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Analytics Analytics 170

Analytics Vidhya

OCTOBER 22, 2019

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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KDnuggets

OCTOBER 24, 2019

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

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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

Analytics Vidhya

OCTOBER 20, 2019

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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Analytics Analytics Data Science 158

KDnuggets

OCTOBER 22, 2019

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

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Data Scientist Data Science Python 223

KDnuggets

OCTOBER 22, 2019

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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KDnuggets

OCTOBER 22, 2019

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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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

Analytics

KDnuggets

OCTOBER 24, 2019

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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AI AI 125

KDnuggets

OCTOBER 23, 2019

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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KDnuggets

OCTOBER 25, 2019

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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KDnuggets

OCTOBER 23, 2019

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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Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

Analytics

KDnuggets

OCTOBER 21, 2019

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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AI AI 115

KDnuggets

OCTOBER 21, 2019

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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KDnuggets

OCTOBER 23, 2019

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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AI AI Cloud Computing 114

DataRobot

OCTOBER 21, 2019

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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Machine Learning Machine Learning AI AI 11

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.