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 399

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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Data Science Analytics Analytics Deep Learning 395

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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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

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 376

Data Science 376

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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Analytics Analytics Deep Learning Deep Learning 298

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 311

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 264

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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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

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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Data Science Algorithm Data Scientist Decision Trees 269

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 227

Eugene Yan

JANUARY 13, 2020

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

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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.

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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Data Science Data Scientist 80

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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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

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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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

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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Tableau Analytics Analytics Big Data 52

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 260

Twilio Segment

JANUARY 16, 2020

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

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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

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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

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 225

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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Decision Trees Algorithm 294

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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Data Lakes Data Warehouse Data Modeling Data Models 172

KDnuggets

JANUARY 15, 2020

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

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Algorithm Machine Learning Machine Learning 266

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

JANUARY 13, 2020

When machine learning tools are developed by technology first, they risk failing to deliver on what users actually need. It can also be difficult for development teams to establish meaningful direction. This article explores the challenges of designing an interface that enables users to visualise and interact with insights from graph machine learning, and explores the very new, uncharted relationship between machine learning and UX.

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Machine Learning Machine Learning Data Visualization Analytics 166

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 148

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 147

KDnuggets

JANUARY 13, 2020

The new technique can really improve how deep learning models are trained at scale.

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Deep Learning Deep Learning 217

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.