If you are looking to start a machine learning career in industry, a good thing is to either participate in a Kaggle competition, try contributing to OpenSource ML projects such as SparkML or Theano (or start one yourself) or try to get an internship; all of these allow you to get first-hand experience in building models, modifying algorithms and iterating to improve accuracy.
"However, focus on Machine Learning technology across any industry is vital as human efforts have their limitations".
In telecommunication industry, machine learning techniques have been applied to the Call Detail Record (CDR) for predicting customer behavior such as churn prediction.
While everyone agrees on the importance of machine learning to their company and industry, few companies have adequate expertise to do what they wanted the technology to do.
Seeing a tremendous opportunity to leverage machine learning technologies in the healthcare industry, Bessemer Venture Partners is launching a $10 million early-stage seed program to back new startups.
CorThea Intelligence witheavyg Predict customers (they realiftingldn't have figured oft another name, right?) will work with a Microsoft team that will help them interpret this data to gain insights into consumer preferences, user sentiment, demographics and industry trends.
Between Columbia and NYU and now Cornell Tech, and the unbelievably deep bench of machine learning talent embedded in the finance industry, we have more ML people at an elite level in New York than any place on earth.
The company is shaking up the call center industry by using machine learning technology to increase profits (up to 34%, in one case study).
At the heart of machine learning is the data that powers the models, and the new era of Big Data is catapulting machine learning to the forefront of research and industry applications.
As software brings it online, a lot of those industries are ripe for machine learning.
