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.
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.
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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?
Eugene Yan
OCTOBER 8, 2019
In-depth sharing on how to put machine learning systems into production.
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
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.
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.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
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.
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.
Eugene Yan
OCTOBER 2, 2019
Keynote on how Asia's tech giants scale and their SuperApp strategy.
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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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?
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.
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.
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.
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.
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.
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.
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).
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.
KDnuggets
OCTOBER 2, 2019
Applying a clustering algorithm is much easier than selecting the best one. Each type offers pros and cons that must be considered if you’re striving for a tidy cluster structure.
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.
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.
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.
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.
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
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.
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.
KDnuggets
OCTOBER 2, 2019
As data scientists who are the brains behind the AI-based innovations, you need to understand the significance of data preparation to achieve the desired level of cognitive capability for your models. Let’s begin.
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.
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.
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.
DataRobot
OCTOBER 17, 2019
In the past 12 months, artificial intelligence has become headline news, and not always for the right reasons. We’ve heard stories of sexist AI hiring algorithms , racist face detection algorithms , and AIs using your private social media data to influence elections. Embarrassing AI failures such as these can damage your reputation, incur regulatory penalties, and even negatively impact a company’s stock prices.
Depends on the Definition
OCTOBER 14, 2019
Last weekendPyCon DE and PyData Berlin joined in Berlin for a great conference event that I was lucky to attend. The speaker line-up was great and often it was hard to choose which talk or tutorial to attend.
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.
KDnuggets
OCTOBER 16, 2019
A guide covering the things you should learn to become a data scientist, including the basics of business intelligence, statistics, programming, and machine learning.
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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.
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