Neural Network

Neural networks, a beautiful biologically-inspired programming paradigm which enables a computer to learn from observational data

Neural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing.

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Deep Learning

Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms. Learning can be supervised, partially supervised or unsupervised

Deep learning is a class of machine learning algorithms that

·         use a cascade of many layers of nonlinear processing units for feature extraction and transformation. Each successive layer uses the output from the previous layer as input. The algorithms may be supervised or unsupervised and applications include pattern analysis (unsupervised) and classification (supervised).

·         are based on the (unsupervised) learning of multiple levels of features or representations of the data. Higher level features are derived from lower level features to form a hierarchical representation.

·         are part of the broader machine learning field of learning representations of data.

·         learn multiple levels of representations that correspond to different levels of abstraction; the levels form a hierarchy of concepts.

·         use some form of gradient descent for training

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Data Visualization

Data visualization is a general term that describes any effort to help people understand the significance of data by placing it in a visual context. Patterns, trends and correlations that might go undetected in text-based data can be exposed and recognized easier with data visualization software.

Data visualization or data visualisation is viewed by many disciplines as a modern equivalent of visual communication. It involves the creation and study of the visual representation of data, meaning "information that has been abstracted in some schematic form, including attributes or variables for the units of information".

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Business Analysis

Business analysis is a research discipline of identifying business needs and determining solutions to business problems. Solutions often include a software-systems development component, but may also consist of process improvement, organizational change or strategic planning and policy development.

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Predictive Analysis

Predictive analytics is the branch of the advancedanalytics which is used to make predictions about unknown future events. Predictive analytics uses many techniques from data mining, statistics, modeling, machine learning, and artificial intelligence to analyze current data to make predictions about future.

Predictive analytics encompasses a variety of statistical techniques from predictive modeling, machine learning, and data mining that analyze current and historical facts to make predictions about future or otherwise unknown events

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Data science

Data science, also known as data-driven science, is an interdisciplinary field about scientific methods, processes, and systems to extract knowledge or insights from data in various forms, either structured or unstructured, similar to data mining.Data Science is the art of extracting meaning from data. The meaning can then be used for a decision-making process. The process includes gathering data, processing it, and using tools for extracting significant information from it.
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Machine Learning

Machine learning is the subfield of computer science that, gives "computers the ability to learn without being explicitly programmed. Machine learning is employed in a range of computing tasks where designing and programming explicit algorithms with good performance is difficult or infeasible. Machine learning is closely related to  computational statistics, which also focuses on prediction-making through the use of computers. It has strong ties to mathematical optimization, which delivers methods, theory and application domains to the field. Machine learning can also be unsupervised  and be used to learn and establish baseline behavioral profiles for various entities and then used to find meaningful anomalies.

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Create a Whole Customer View by Combining Digital and Non-Digital Data

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Big Data Provides Marketers With A Goldmine Of Information.

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Analytics that creates Insight, Impact and Innovation.

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Cost Effective and Timely Predictive Analytics

We provide professional, cost effective and timely predictive analytics for our customers #gvmanalytics #machinelearning #predictiveanalytics #datascience #deeplearning #neuralnetwork #datavisualization #bigdata #datamonetization