Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
The Rise Of Large Database Models
 Originally published in Forbes Even as large language models have...
3 Predictions For Predictive AI In 2025
 Originally published in Forbes GenAI’s complementary sibling, predictive AI, makes...
The Quant’s Dilemma: Subjectivity In Predictive AI’s Value
 Originally published in Forbes This is the third of a...
To Deploy Predictive AI, You Must Navigate These Tradeoffs
 Originally published in Forbes This is the second of a...

Community

Spy Agency Posts Data-Mining Software to Github

 Gaffer a graph database “optimized for retrieving data on nodes of interest” developed by the notorious UK spy agency GCHQ is available for download. You can now run and improve it because they’ve posted it to Github under the permissive, free/open Apache license. Gaffer departs from usual graph database architectures in that it has the

Changing the Retail Sector with Big Data

 Big Data analytics is now being applied at every stage of the retail process – working out what the popular products will be by predicting trends, forecasting where the demand will be for those products, optimizing pricing...

The Ultimate Guide to Data Science Blogs

 We’ve organized data science blogs across eight different categories: Machine learning, Hadoop, R, Python, business intelligence, data visualization, statistics, and a general data science bucket. Data about their reader count comes from Feedly. This is a work...

Data Mining for Predictive Social Network Analysis

 Given this enormous volume of social media data, analysts have come to recognize Twitter as a virtual treasure trove of information for data mining, social network analysis, and information for sensing public opinion trends and groundswells of...

4 Key Thrust Areas for Predictive Analytics World – Manufacturing 2016

 As we move to year 3 of the Predictive Analytics World – Manufacturing annual conference, we are continuing to build on the momentum from the first two years. Our primary focus areas have remained more or less the...

4 Reasons Why Healthcare Needs Data Science

 The amount of healthcare data continues to mound every second, making it harder and harder to find any form of helpful information. In the healthcare industry, what could be more important than having better healthcare outcomes? Each...

Choosing the Right Vendor for your Big Data Needs

 Choosing the right vendor for managing Big Data requires each organization to consider its own needs, including preferences related to data storage, scripting language, and preferred usage tools. USE CODE PATIMES16 for 15% off Predictive Analytics World...

Getting More Value from Data: 6 Facts About Data Science

 The value of data is measured by what you do with it, and organizations are relying on data scientists to extract that value. I recently conducted a survey of data professionals to better understand what it means...

The Hardest Parts of Data Science

 Contrary to common belief, the hardest part of data science isn’t building an accurate model or obtaining good, clean data. It is much harder to define feasible problems and come up with reasonable ways of measuring solutions....

A Rogue Liberal: Halting NSA Bulk Data Collection Compromises Intelligence

 This Newsweek article, originally published in Newsweek’s opinion section and excerpted here, resulted from the author’s research for a new extended sidebar on the topic that will appear in the forthcoming Revised and Updated, paperback edition of...

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