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A marketing acceleration platform combines agility, automation, and insights to help businesses deliver highly-targeted interactions across the customer journey in an efficient and scalable fashion.
The “deep” in “deep learning” refers to the number of layers through which the data is transformed. Deep learning has a large number of layers as compared to classical neural networks.
Blockchain has begun to come into its own in 2019. In this study from Research and Markets, provides use cases and growth opportunities in 3 sectors: global payments, trade finance, and KYC/AML.
The concept of customer analytics has become an everyday area with the rise of E-Commerce businesses. With the ease of digitization, online businesses can track easily their customer‘s behavior and journey.
The global cash management system market size is expected to reach USD 25.37 billion by 2027, registering a CAGR of 12.6% from 2020 to 2027, according to a new report published by Grand View Research, Inc.
Prescriptive analytics gathers data from a variety of both descriptive and predictive sources for its models and applies them to the process of decision-making.
For traditional statistics applications on typically sized data, R and Python are equally worthy. For exploratory work, R is a lot easier for beginners.
Predictive Data analytics as the name suggests enables one to predict any event on the basis of past data about the event using statistical data modeling to be fairly accurate in finding patterns about the data.
Today, there’s no shortage of ways multiple industries can and do use location and geo-analytics.
If you want to practice machine learning, you should learn data visualization because you have a superb pattern matcher in your head. The human eye is wonderful at extracting patterns from images.