Analytics Vidhya

DECEMBER 16, 2019

Introduction NeurIPS is THE premier machine learning conference in the world. No other research conference attracts a crowd of 6000+ people in one place. The post Decoding the Best Machine Learning Papers from NeurIPS 2019 appeared first on Analytics Vidhya.

Machine Learning 260

Machine Learning Analytics Deep Learning 260

KDnuggets

DECEMBER 16, 2019

Once you have deployed your machine learning model into production, differences in real-world data will result in model drift. So, retraining and redeploying will likely be required. In other words, deployment should be treated as a continuous process. This guide defines model drift and how to identify it, and includes approaches to enable model training.

Modeling 111

Modeling Machine Learning IT 111

FineReport

DECEMBER 16, 2019

Di era ledakan informasi ini, semakin banyak data yang perlu dikelola. Namun demikian, data padat ini seringkali tidak fokus dan tidak mudah dibaca. Sehingga kita membutuhkan visualisasi data untuk membuat data lebih mudah dipahami dan diterima. Sebaliknya, visualisasi lebih bersifat intuitif dan penuh makna, dan sangatlah penting untuk menggunakan grafik yang tepat untuk memvisualisasi suatu data.

Visualization 98

Visualization Software Modeling 98

KDnuggets

DECEMBER 16, 2019

Predictions for 2020 from a dozen innovative companies in AI, Analytics, Machine Learning, Data Science, and Data industry.

Machine Learning 107

Machine Learning Data Science Analytics 107

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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.

Data Science 101

DECEMBER 16, 2019

Wow, the last two weeks were taken over by the flurry of announcements from Amazon. Even though Amazon is taking a break from announcements (probably focusing on Christmas shoppers), there are still some updates in the cloud data science world. Here they are. News. Google AutoML for Natural Language goes GA Extracting meaning from text is still a challenging and important task faced by many organizations.

Data Science 81

Data Science Metadata Machine Learning Data Lake 81

Jet Global

DECEMBER 16, 2019

Producing financial reports is one of the core skills that all organizations need to excel at. Reports reveal the true health of companies, highlighting the positives and negatives that will affect enterprise performance for years to come. There are countless reports to choose from, all with valuable insights to offer, but some should be considered mandatory: Income Statements.

Reporting 69

Reporting Metrics Optimization Enterprise 69

Smart Data Collective

DECEMBER 16, 2019

We live in a digital era where every business aspect revolves around technology, making IT systems the core of modern-day operations. Primarily, the role that IT systems play begins and ends with data, which is the constant input and output of computerized devices. It is therefore not surprising that the current trend for businesses is to seek solutions for big data adoption and usage.

Optimization 53

Optimization Enterprise Internet of Things Cost-Benefit 53

IBM Big Data Hub

DECEMBER 16, 2019

All industries—from healthcare to retail to banking—are digitally transforming themselves every day to become more agile and stay competitive. However, all industries depend on data to be successful, and this impacts the way enterprises plan and execute their operations.

Data Lake 53

Data Lake Digital Transformation Enterprise 53

Tim Mitchell

DECEMBER 16, 2019

Regular expressions (or simply regex for short) have long been used by system administrators and data professionals for searching and manipulating text. Regular expressions allow the user to find, replace, and manipulate text based on the pattern they define in the expression. While every text editor allows simple search-and-replace capabilities, regex allows for searching for partial matches, using wildcards, and.

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52

KDnuggets

DECEMBER 16, 2019

It is an annual tradition for Xavier Amatriain to write a year-end retrospective of advances in AI/ML, and this year is no different. Gain an understanding of the important developments of the past year, as well as insights into what expect in 2020.

Machine Learning 47

Machine Learning IT Deep Learning 47

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.

ScienceSoft

DECEMBER 16, 2019

Explore 5 important benefits of a BI solution and see how a company can make good use of them.

Business Intelligence 59

Business Intelligence 59

KDnuggets

DECEMBER 16, 2019

The new technique allows the deployment of machine learning models that operate with minimum training data.

Machine Learning 63

Machine Learning Modeling 63

Andrew White

DECEMBER 16, 2019

A few years ago, a colleague in our team, Frank Buytendijk , led a review of our client inquiries. He was trying to validate a finding we already knew anecdotally: Most organizations do not follow a formal methodology for evaluating the return on investment for their information and technology investments and done use business outcomes to drive those efforts.

Uncertainty 40

Uncertainty ROI Metrics Strategy 40

KDnuggets

DECEMBER 16, 2019

Also: Plotnine: Python Alternative to ggplot2; AI, Analytics, Machine Learning, Data Science, Deep Learning Technology Main Developments in 2019 and Key Trends for 2020; Moving Predictive Maintenance from Theory to Practice; 10 Free Top Notch Machine Learning Courses; Math for Programmers!

Machine Learning 47

Machine Learning Data Science Deep Learning Technology 47

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.

Experimentation

Teradata

DECEMBER 16, 2019

Enterprises either have no data strategy at all or an over-complicated one that under delivers. Find out how to create an effective data strategy by striking balance.

Data Strategy 40

Data Strategy Strategy Enterprise 40

KDnuggets

DECEMBER 16, 2019

The agenda for Predictive Analytics World for Business (Las Vegas, May 31 - Jun 4) has just been released. Super Early Bird Deadline Extended until Dec 20th. Register now!

Predictive Analytics 45

Predictive Analytics Analytics 45

Nutanix

DECEMBER 16, 2019

We are very happy to announce bi-directional cloud mobility of VMs through Nutanix Move. Available to all Nutanix customers, Move 3.4 will support moving VMs back and forth between Nutanix AHV and AWS.

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Dataiku

DECEMBER 16, 2019

What will be the hottest data science, machine learning, and AI trends in the new decade? Was 2019 really the year of NLP? Will we see more or less of deep learning and reinforcement learning in 2020? How will the latest developments in quantum computing and cloud-based software change the lives and work of data scientists , and those of everyone else?

Data Science 18

Data Science Reporting Deep Learning Machine Learning 18

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.

Nutanix

DECEMBER 16, 2019

We are very happy to announce bi-directional cloud mobility of VMs through Nutanix Move. Available to all Nutanix customers, Move 3.4 will support moving VMs back and forth between Nutanix AHV and AWS.

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Corinium

DECEMBER 16, 2019

Data culture has become a huge focus for data leaders in recent years. It’s clear that data leaders will only be able to maximize the value of their companies’ data assets if they can get frontline staff to adopt new, data-driven ways of thinking and working. But the ‘end game’ of all these cultural change initiatives can differ from company to company.

Data-driven 286

Data-driven Business Intelligence 286

Nutanix

DECEMBER 16, 2019

We are very happy to announce bi-directional cloud mobility of VMs through Nutanix Move. Available to all Nutanix customers, Move 3.4 will support moving VMs back and forth between Nutanix AHV and AWS.

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20

Grooper

DECEMBER 16, 2019

Today's world is a sea of information. What's the relationship between the way humans navigate it all and the way we build A.I. to do the same thing? This article explores the way our decisions shape our knowledge and beliefs, and explores why we believe things that aren't true. If we learn how human beliefs are formed, it is that understanding that must be used to build better, and more ethical A.I.

IT 104

IT Data Science 104

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

Management