KDnuggets

JANUARY 16, 2020

With integrations of multiple emerging technologies just in the past year, AI development continues at a fast pace. Following the blueprint of science and technology advancements in 2019, we predict 10 trends we expect to see in 2020 and beyond.

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AI AI 398

Analytics Vidhya

JANUARY 14, 2020

Overview Looking to transition into data science? Here are 5 paths for a non-data science person to land a role in this space The. The post 5 Thoughts on How to Transition into Data Science from Different Backgrounds appeared first on Analytics Vidhya.

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Dataconomy

JANUARY 14, 2020

Organizations implementing AI have increased by 270 per cent over the last four years, according to a recent survey by Gartner. Even though the implementation of AI is a growing trend, 63 per cent of organizations haven’t deployed this technology. What is holding them back: cost, talent shortage? For many. The post How can you be AI ready? appeared first on Dataconomy.

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AI AI Analytics Analytics 231

Eugene Yan

JANUARY 12, 2020

Beating the baseline using Graph & NLP techniques on PyTorch, AUC improvement of ~21% (Part 2 of 2).

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.

KDnuggets

JANUARY 17, 2020

This article will tell you about the top 9 mobile apps that help the user in learning and practicing data science and hence is improving their productivity.

Data Science 365

Data Science 365

Analytics Vidhya

JANUARY 12, 2020

Overview Generative models and GANs are at the core of recent progress in computer vision applications This article will introduce you to the world. The post What are Generative Models and GANs? The Magic of Computer Vision appeared first on Analytics Vidhya.

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Data Science 101

JANUARY 17, 2020

Some news this week out of Microsoft and Amazon. News. Azure is now ISO/IEC 27701 Certified Azure becomes the first public cloud to receive this certification for Privacy and Information Management Python in Visual Studio Code Visual Studio Code now allows a user to select which version of python should be used for the Jupyter Notebook AWS Quick Start now deploys Matillion ETL for Amazon Redshift Title says it all, but if you use Matillion and Redshift, this is a big win for you.

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Cloud Data Data Science Azure ETL 120

KDnuggets

JANUARY 17, 2020

This summary overviews the keynote at TensorFlow World by Jeff Dean, Head of AI at Google, that considered the advancements of computer vision and language models and predicted the direction machine learning model building should follow for the future.

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Machine Learning Machine Learning AI AI 328

Analytics Vidhya

JANUARY 13, 2020

Overview How do machine learning pipelines work? What’s the role of AI in retail? How important is ethics in this field? We are thrilled. The post Building Machine Learning Pipelines and AI in Retail – A Powerful Interview with Rossella Blatt Vital appeared first on Analytics Vidhya.

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Machine Learning Machine Learning AI AI 272

Smart Data Collective

JANUARY 17, 2020

Big Data has a lot of great uses in the work of consumer marketing. Experts recognize that its benefits go well beyond the needs of individual consumers. In fact, Big Data has many uses in helping patient lives in the world of healthcare. The market for big data in healthcare is growing 22% a year. From predicting risk factors to helping cure disease, Big Data in healthcare is multi-faceted.

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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

Data Science 101

JANUARY 15, 2020

We all are familiar with experiments , we read about them in books or newspapers. Researchers/ scientists perform experiments to validate their hypothesis/ statements or to test a new product. Unlike observational studies, experiments are performed in a controlled environment so that the effect of other external factors/variables can be eliminated from it.

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Data Science 96

KDnuggets

JANUARY 16, 2020

This post is about fast-tracking the study and explanation of tree concepts for the data scientists so that you breeze through the next time you get asked these in an interview.

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Analytics Vidhya

JANUARY 15, 2020

Overview An introduction to link prediction, how it works, and where you can use it in the real-world Learn about the importance of Link. The post A Guide to Link Prediction – How to Predict your Future Connections on Facebook appeared first on Analytics Vidhya.

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Analytics Analytics Python Machine Learning 232

The Data Administration Newsletter

JANUARY 14, 2020

Recently, I’ve encountered many client staff, course students, and conference attendees who are grappling with the basic question: “What is the difference between Data Managementand Data Governance?” It seems that the more our industry expands, the more frequently this question is asked. ———- I attribute this to a few factors: The increasing volume of data […].

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Data Governance Business Intelligence Business Intelligence 87

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.

Eugene Yan

JANUARY 13, 2020

Comparing baselines (matrix factorization) against novel approaches using graphs & NLP.

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KDnuggets

JANUARY 15, 2020

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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Data Science 101

JANUARY 11, 2020

The Data Science for Social Good Summer Fellowship , now hosted at Carnegie Mellon University, is accepting applications. This is a 12-week program to train data scientists about working on projects which positively impact society. There are a number of roles available. Fellows Mentors Project Managers. Most applications are due January 31, 2020. They are also still accepting applications for projects, so if you are an organization working on social problems, this could be a great opportunity to

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DataRobot Blog

JANUARY 15, 2020

by Jen Underwood. New year. New decade. Time to prepare for what comes next. As organizations continue modernizing and moving to the cloud, the analytics world we once knew continues to change. Here’s. Read More.

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Analytics Analytics 103

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.

Business Intelligence

DataCentric podcast

JANUARY 13, 2020

It's 2020, and that means a whole new set of predictions for the year! Join Moor Insights & Strategy technology analysts Matt Kimball and Steve McDowell as they discuss what they believe will be the most impactful trends impacting data centers and IT architecture over the coming twelve months. 02:21 Silicon Architecture is no longer a buying critera for servers -- it's all about matching capabilities to workloads (whether x86 or ARM) 09:50 The Public Cloud providers will begin a cycl

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KDnuggets

JANUARY 13, 2020

Building Machine Learning models is fun, but making sure we build the best ones is what makes a difference. Follow this quick guide to appreciate how to effectively evaluate a classification model, especially for projects where accuracy alone is not enough.

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Machine Learning Machine Learning 252

Alation

JANUARY 13, 2020

This post originally appeared on www.tableau.com/about/blog. Powering self-service analytics at MercadoLibre MercadoLibre hosts the largest online commerce platform in Latin America with 3.3 million sellers and 267 million users. The e-commerce giant leverages Tableau and the Alation Data Catalog to create a seamless process of data discovery and analysis with the goal of enabling all […].

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Twilio Segment

JANUARY 16, 2020

It’s time we set a new standard for marketing and business technology.

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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.

DataRobot

JANUARY 16, 2020

AI has made great impacts on organizations across all industries and around the world. As AI adoption increases, more use cases are beginning to emerge, especially within the healthcare industry. Looking over the past decade, we can see how many healthcare organizations have been transformed with regard to the way they use data. And, as healthcare groups continue to leverage AI throughout their teams and departments, they’ll need to focus on monitoring and management to prevent misuse and ensure

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AI AI 19

KDnuggets

JANUARY 15, 2020

In this post I want to show how to use public available (open) data to create geo visualizations in python. Maps are a great way to communicate and compare information when working with geolocation data. There are many frameworks to plot maps, here I focus on matplotlib and geopandas (and give a glimpse of mplleaflet).

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Python 226

KDnuggets

JANUARY 14, 2020

All you need to know about decision trees and how to build and optimize decision tree classifier.

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KDnuggets

JANUARY 16, 2020

Whereas a data warehouse will need rigid data modeling and definitions, a data lake can store different types and shapes of data. In a data lake, the schema of the data can be inferred when it’s read, providing the aforementioned flexibility. However, this flexibility is a double-edged sword.

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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.

KDnuggets

JANUARY 16, 2020

Visit Deep Learning World, 11-12 May in Munich, to broaden your knowledge, deepen your understanding and discuss your questions with other Deep Learning experts!

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Deep Learning Deep Learning 187

KDnuggets

JANUARY 13, 2020

Also: The Book to Start You on Machine Learning; An Introductory Guide to NLP for Data Scientists with 7 Common Techniques; A Comprehensive Guide to Natural Language Generation; The Book to Start You on Machine Learning; 10 Python Tips and Tricks You Should Learn Today.

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Machine Learning Machine Learning Data Scientist Data Engineering 147

KDnuggets

JANUARY 14, 2020

Learn the basics of verifying segmentation, analyzing the data, and creating segments in this tutorial. When reviewing survey data, you will typically be handed Likert questions (e.g., on a scale of 1 to 5), and by using a few techniques, you can verify the quality of the survey and start grouping respondents into populations.

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Clustering 146

KDnuggets

JANUARY 15, 2020

Which algorithm works best for unbalanced data? Are there any tradeoffs?

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Algorithm Machine Learning Machine Learning 263

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.

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