Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
MLW Preview Video: Devanshi Vyas, Co-Founder at Censius
 In anticipation of her upcoming presentation at Deep Learning...
MLW Preview Video: Ayush Patel, Co-Founder at Twelvefold
 In anticipation of his upcoming presentation at Predictive Analytics...
MLW Preview Video: Sarah Kalicin, Data Scientist at Intel Corporation
 In anticipation of her upcoming keynote presentation at Predictive...
MLW Preview Video: Praneet Dutta, Senior Research Engineer at DeepMind
 In anticipation of his upcoming presentation at Deep Learning...

data science

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 for a competitive edge, identifying the customers likely to be interested in them and working out the best

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...

B2B Predictive Analytics: An Untapped Sector

 Much work in predictive analytics and data science has been primarily focused around the business to consumer sector (B2C). Certainly predictive analytics solutions have been applied to the B2B sector but it pales in comparison to what...

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...

Four Ways Data Science Goes Wrong and How Test-Driven Data Analysis Can Help

 If, as Niels Bohr maintained, an expert is a person who has made all the mistakes that can be made in a narrow field, we consider ourselves expert data scientists.  After twenty years of doing what’s been...

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....

Analysts with Superpowers

 USE CODE PATIMES16 for 15% off Predictive Analytics World Conference pass. Imagine that you are a business analyst who works for an organization with executives, managers and colleagues who do not appreciate the power of analytics to...

The Quest for Unicorns

 Will there be enough data scientists in the future? The question sounds like a subplot for a science fiction film, but it has received much attention over the past few years due to the forecast of a...

5 Warning Signs that Turn Off Data Science Hiring Managers

 As a hiring manager for data analytics positions, I often complain that there are not enough qualified resumes. Most of the resumes that do get passed on to me from recruiters quickly get filed away. Those job...

Page 15 of 18 1 10 11 12 13 14 15 16 17 18