KDnuggets

OCTOBER 10, 2019

We illustrate how to show the activation maps of various layers in a deep CNN model with just a couple of lines of code.

Deep Learning 307

Deep Learning Deep Learning Python 307

Analytics Vidhya

OCTOBER 9, 2019

Overview Web scraping is a highly effective method to extract data from websites (depending on the website’s regulations) Learn how to perform web scraping. The post Hands-On Introduction to Web Scraping in Python: A Powerful Way to Extract Data for your Data Science Project appeared first on Analytics Vidhya.

Data Science 302

Data Science Python Analytics Analytics 302

Dataconomy

OCTOBER 9, 2019

From the Cambridge Analytica scandal to GDPR and data breach headlines, the idea that consumers should know how their data is used is gaining traction with governments and consumer groups. What does this trend mean for companies that rely on consumer data for their business model? Right now, consumer data. The post Consumer data might be the new oil, but who gets to decide how it’s used?

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Big Data Big Data 190

Eugene Yan

OCTOBER 8, 2019

In-depth sharing on how to put machine learning systems into production.

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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?

KDnuggets

OCTOBER 7, 2019

Are you looking to learn natural language processing? This collection of 10 free top notch courses will allow you to do just that, with something for every approach to learning NLP and its varied topics.

Natural Language Processing 308

Natural Language Processing 308

Analytics Vidhya

OCTOBER 6, 2019

Overview What are the next steps after you’ve deployed your machine learning model? Post-deployment monitoring is a crucial step in any machine learning project. The post Deployed your Machine Learning Model? Here’s What you Need to Know About Post-Production Monitoring appeared first on Analytics Vidhya.

Machine Learning 289

Machine Learning Machine Learning Analytics Analytics 289

Smart Data Collective

OCTOBER 8, 2019

While sports analytics is hardly a new idea, how it is being used in hockey has changed dramatically. Coaches no longer have to wait for newspapers to print out statistics. Fans are not left to wonder how their favorite players are truly excelling. What has brought about this change? Big data. Big data has taken all forms of sports analytics by storm, but we are only now really beginning to see what it can do for hockey.

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Big Data Big Data Analytics Analytics 92

KDnuggets

OCTOBER 7, 2019

As a data scientist, your most important skill is creating meaningful visualizations to disseminate knowledge and impact your organization or client. These seven principals will guide you toward developing charts with clarity, as exemplified with data from a recent KDnuggets poll.

Data Visualization 307

Data Visualization Data Science Data Scientist Python 307

Analytics Vidhya

OCTOBER 8, 2019

Overview A beginner-friendly introduction to the powerful SIFT (Scale Invariant Feature Transform) technique Learn how to perform Feature Matching using SIFT We also showcase. The post A Detailed Guide to the Powerful SIFT Technique for Image Matching (with Python code) appeared first on Analytics Vidhya.

Python 282

Python Analytics Analytics Deep Learning 282

DataRobot

OCTOBER 8, 2019

Recently, my Facebook feed has become clogged with advertisements. Many of those advertisements are selling products that aren’t a good match for me, including ones for shampoo and hair care products!

AI 15

AI AI 15

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!

Smart Data Collective

OCTOBER 11, 2019

There are a lot of ways that organizations can leverage big data. Most of them don’t have difficulty collecting the data they need to make more informed decisions. However, they often struggle to conceptualize the data and present it in a format that supports their conclusions. This is one of the areas where a business dashboard can be useful. Big data has made business dashboards possible.

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Big Data Big Data Data Analyst Database 84

KDnuggets

OCTOBER 8, 2019

In this article, we’ll try to cover everything related to Artificial Neural Networks or ANN.

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Analytics Vidhya

OCTOBER 10, 2019

Picture a world where: Machines are able to have human-level conversations with us Computers understand the context of the conversation without having to be. The post 7 Amazing NLP Hack Sessions to Watch out for at DataHack Summit 2019 appeared first on Analytics Vidhya.

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Analytics Analytics Natural Language Processing Deep Learning 234

DataRobot

OCTOBER 9, 2019

The best models on the planet were in London recently. At the London Fashion week, we saw the top supermodels from around the world come together to showcase the newest styles and fashion. At the same time, DataRobot was in town at the Retail Tech Event parading their automated machine learning models to the retail industry. Both types of models make a big impact on the retail industry, but it is DataRobot’s models that have the power to reshape the future of retail as we know it.

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ML ML Machine Learning Machine Learning 14

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Smart Data Collective

OCTOBER 7, 2019

Sinatra is a great web application library. It can be used to streamline development in Ruby and several other programming languages. A number of articles on Dzone have been written on using Sinatra to develop web applications and other solutions, but there didn’t appear to be an article on setting up Sinatra. We decided to provide a quick tutorial on this process.

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KDnuggets

OCTOBER 9, 2019

Why I love boring ML problems and how I think about them.

Data Science 288

Data Science ML ML Machine Learning 288

Explosion

OCTOBER 11, 2019

Transformer models like BERT have set a new standard for accuracy on almost every NLP leaderboard. However, these models are very new, and most of the software ecosystem surrounding them is oriented towards the many opportunities for further research. In this talk, Matt describes how you can now use these models in spaCy to work on real problems and the many opportunities transfer learningfor production NLP, regardless of which software packages you choose.

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DataRobot

OCTOBER 11, 2019

What is Intelligent Automation? Intelligent Automation (IA) refers to the application of artificial intelligence (AI) and related technologies in particular combining machine learning , and robotic process automation (RPA). This convergence of technologies produces automation capabilities that dramatically elevate business value and competitive advantages for organizations.

Artificial Intelligence 13

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 13

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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

DataCentric podcast

OCTOBER 6, 2019

In the data era, data protection is everything. Cyber resilience can mean life and death for companies that rely on intelligence to drive business. So what’s more important? Securing your organization? Or being able to quickly recover from cyberattacks without having to pay ridiculous ransom amounts to a group of hackers in Eastern Europe? The answer is “both.

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KDnuggets

OCTOBER 9, 2019

Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer.

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Explosion

OCTOBER 9, 2019

We’re proud to accept the META Seal of Recognition at META-FORUM in Brussels, along with Mozilla. The META-FORUM is an international conference series backed by the European Union on powerful and innovative Language Technologies for a multilingual information society.

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KDnuggets

OCTOBER 9, 2019

By the end of my week with the team, I managed to proudly cut two PRs on GitHub. I decided that I would write a blog post to knowledge share, not just to show that YES, you can too.

Python 280

Python 280

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

KDnuggets

OCTOBER 10, 2019

While you may be focused on your performance during your next job interview, landing that interview can be just as hard. Check out these tips for finding and securing an interview for a machine learning job.

Machine Learning 276

Machine Learning Machine Learning 276

KDnuggets

OCTOBER 11, 2019

The practice of optimizing metrics is not new nor unique to AI, yet AI can be particularly efficient (even too efficient!) at doing so.

AI 274

AI AI 274

KDnuggets

OCTOBER 11, 2019

You have heard the expression “there is no such thing as a free lunch” – well in machine learning the same principle holds. In fact there is even a theorem with the same name.

Machine Learning 268

Machine Learning Machine Learning Deep Learning Deep Learning 268

KDnuggets

OCTOBER 9, 2019

Being really good at scoping analytics projects is crucial for team productivity and profitability. You can consistently deliver on time if you work out the issue first, and these four questions can help you prepare.

Analytics 267

Analytics Analytics Data Engineer Data Engineering 267

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.

Business Intelligence

KDnuggets

OCTOBER 8, 2019

As so many more organizations now rely on AI to deliver services and consumer experiences, establishing a public trust in the AI is crucial as these systems begin to make harder decisions that impact customers.

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AI AI 260

KDnuggets

OCTOBER 11, 2019

This literature review on document embedding techniques thoroughly covers the many ways practitioners develop rich vector representations of text -- from single sentences to entire books.

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KDnuggets

OCTOBER 10, 2019

If we want a machine learning model to be able to generalize these forms together, we need to map them to a shared representation. But when are two different words the same for our purposes? It depends.

Machine Learning 244

Machine Learning Machine Learning AI AI 244

KDnuggets

OCTOBER 7, 2019

Having trouble explaining why applied math matters to your non-specialist friends and colleagues? As valued members of the applied math community and ambassadors of SIAM, review these short animations and share them with your interested networks! Help us show that math matters and why.

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