10 reasons why industries should use custom analytics applications

Analytics is a complex process of breaking down streams of data into its many components in order to find patterns, trends and correlations. The market place is full of analytics products and though most of them are good, they may ...

3 Ways Big Data Can Change Student Lives

Approximately 2.5 quintillion bytes of data is created every day with a staggering 90 percent of the world’s total data having been created in the last two years, according to IBM. Simply put, data is just information. However, take large amounts ...

Yahoo Releases record Machine Learning Dataset for Researchers

Data is the lifeblood of research in machine learning. However, access to truly large-scale datasets is a privilege that has been traditionally reserved for machine learning researchers and data scientists working at large companies – and out of reach for ...

Overview of Analytics Industry in the US

Harvard Business Review (HBR) claims Data Scientist and Business Analyst to be the hottest jobs in today’s market. Big Data has set a veritable explosion in the global market, including a larger market of the US. The big data revolution ...

6 Essential Steps to Successfully Implement Hadoop

Interest in Hadoop continues to increase as business recognize the benefits it brings to their organizations and their big data analytics practices. Recent numbers bear this out as well. According to a recent survey from TDWI, overall Hadoop adoption by enterprises ...

Funding trends for IoT big data analytics

As the “Internet of Things” gains momentum, expecting to be fueled and enabled by big data analytics, investors and companies are seeking to expand their holdings across these areas. Kylie Wansink, senior analyst for global markets at analyst firm BuddeCom, said ...

25 Java Machine Learning Tools & Libraries

What is Machine learning? Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications o become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to ...
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