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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Analytics Vidhya

OCTOBER 2, 2019

Overview Here are eight ambitious data science projects to add to your data science portfolio We have divided these projects into three categories – The post Add Shine to your Data Science Resume with these 8 Ambitious Projects on GitHub appeared first on Analytics Vidhya.

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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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Eugene Yan

OCTOBER 8, 2019

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

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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.

Analytics

Smart Data Collective

OCTOBER 2, 2019

According to a recent Adobe report , marketers have identified data-driven marketing as the most important business opportunity for 2019. That clearly indicates the importance that marketers give to data and why you should too. After all, data-driven marketing can help you achieve numerous benefits for your business, ultimately leading to an increase in conversions.

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Data Science 101

OCTOBER 5, 2019

Microsoft Research Open Data is a search engine for free datasets available from Microsoft Research. The datasets are primarily aimed at Natural Language Processing (NLP) and computer vision. Take a look if you are in need of a dataset for your next project.

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Analytics Vidhya

OCTOBER 14, 2019

Overview Here’s an intuitive and beginner friendly guide to the mathematics behind machine learning Learn the various math concepts required for machine learning, including. The post Mathematics behind Machine Learning – The Core Concepts you Need to Know appeared first on Analytics Vidhya.

Machine Learning 307

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Dataconomy

OCTOBER 30, 2019

Aleksandar Kova?evi?, Sales Engineer at InterSystems, shares how companies use MLOps combined with a central multi-model database to get the most out of their machine learning initiatives. Artificial Intelligence (AI) and Machine Learning (ML) are hot topics at the moment. But when it comes to producing quantifiable results, there is. The post MLOps can help overcome risk in AI and ML projects appeared first on Dataconomy.

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Eugene Yan

OCTOBER 2, 2019

Keynote on how Asia's tech giants scale and their SuperApp strategy.

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Smart Data Collective

OCTOBER 1, 2019

What exactly is artificial intelligence (AI) and what business does it have in higher education? Simply put, AI is an attempt to emulate human knowledge by programming extensive rules into computers. Through machine learning and expert systems, machines can produce patterns within mass flows of data and pinpoint correlations that couldn’t possibly be immediately intuitive to humans.

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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.

AI

Data Science 101

OCTOBER 2, 2019

A few weeks ago, I attended my first SQLSaturday event. I brought along my camera and was lucky enough to record a couple interviews. This is one of those interviews. I sat down with John Byrnes and we discussed: Where has SQL taken his career? What does the SQLSaturday community mean to him? Why should someone attend a SQLSaturday event? SQLSaturday Interview with John Byrnes.

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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.

Data Scientist 307

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Analytics Vidhya

OCTOBER 13, 2019

Overview Knowledge graphs are one of the most fascinating concepts in data science Learn how to build a knowledge graph using text from Wikipedia. The post Knowledge Graph – A Powerful Data Science Technique to Mine Information from Text (with Python code) appeared first on Analytics Vidhya.

Data Science 302

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Dataconomy

OCTOBER 31, 2019

Data Science is a remarkable field that enables researchers to improve the quality of life for humanity. However, officials have failed to use the technology to benefit one of the nation’s most at-risk groups – incarcerated women. Researchers are taking a closer look at typically overlooked jailhouse pregnancies in a. The post Not All Pregnancies Count: The Data Gap on Maternal Health and Jails appeared first on Dataconomy.

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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

AI

DataRobot

OCTOBER 1, 2019

This blog is meant to be a fun and unique take on predicting the 2019 MLB World Series winner.

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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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Data Science 101

OCTOBER 31, 2019

Today we are generating data more than ever before. Over the last two years, 90 percent of the data in the world was generated. This data alone does not make any sense unless it’s identified to be related in some pattern. Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD).

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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 307

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.

AI

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.

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Dataconomy

OCTOBER 16, 2019

If you’re a Data Scientist, you’ve likely spent months earnestly developing and then deploying a single predictive model. The truth is that once your model is built – that’s only half the battle won. A quarter of a Data Scientist’s working life often goes something like this: You met with. The post A Data Scientist’s relationship with building Predictive Models appeared first on Dataconomy.

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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!

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AI AI 15

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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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?

Hacker News

OCTOBER 13, 2019

This is my advice to anyone writing something for the public — especially a talk on stage. People listen to a talk, or read an article, because they want to learn something new. They want a little “oh wow” moment. “I never thought of it that way before.”. People only really learn when they’re surprised. If they’re not surprised, then what you told them just fits in with what they already know.

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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.

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Natural Language Processing 308

Analytics Vidhya

OCTOBER 16, 2019

Overview Swift is quickly becoming one of the most powerful and effective languages for data science Swift is quite similar to Python so you’ll. The post A Comprehensive Guide to Learn Swift from Scratch for Data Science appeared first on Analytics Vidhya.

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Dataconomy

OCTOBER 2, 2019

Netflix excels at attracting users to its platform and hooking them on to the content it provides. For several years, pharmaceutical companies have wanted to achieve the same thing with specialised medical content. But is it that easy to transfer the “Netflix principle” to the pharmaceutical industry? What kind of. The post The Medflix Principle : How to use curated content for healthcare appeared first on Dataconomy.

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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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Smart Data Collective

OCTOBER 3, 2019

Big data is playing a vital role in the evolution of small business. A compilation of research from the G2 Learning Hub Shows the number of businesses relying on big data is rising. They cited one study showing that 40% of businesses need to use unstructured data on a nearly daily basis. One of the ways that businesses can gain an edge is with digital marketing strategies that hinge on big data.

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Explosion

OCTOBER 1, 2019

Version 2.2 of the spaCy Natural Language Processing library is leaner, cleaner and even more user-friendly. In addition to new model packages and features for training, evaluation and serialization, we’ve made lots of bug fixes, improved debugging and error handling, and greatly reduced the size of the library on disk. While we’re grateful to the whole spaCy community for their patches and support, Explosion has been lucky to welcome two new team members who deserve special credit for the recen

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KDnuggets

OCTOBER 16, 2019

This post is about various evaluation metrics and how and when to use them.

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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!