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    Machine learning Predictive Analytics Report

    Posted By: AlenMiler
    Machine learning Predictive Analytics Report

    Machine learning PREDICTIVE ANALYTICS REPORT by Gerard Blokdijk
    English | 27 Aug 2016 | ASIN: B01L643B4A | 96 Pages | MOBI | 20.09 MB

    The Machine learning report evaluates technologies and applications in terms of their business impact, adoption rate and maturity level to help users decide where and when to invest.

    The Art of Service's predictive model results enable businesses to discover and apply the most profitable technologies and applications, attracting the most profitable customers, and therefore helping maximize value from their investments. The Predictive Analytics algorithm evaluates and scores technologies and applications.

    The platform monitors over six thousand technologies and applications for months, looking for interest swings in a topic, concept, technology or application, not just a count of mentions. It then makes forecasts about the velocity of the interest over time, with peaks representing it breaking into the mainstream. Data sources include trend data, employment data, employee skills data, and signals like advertising spent, advertisers, search-counts, instruction and courseware availability, patents issued, and books published.

    Table of Contents

    Top 20 Overall Predictive Analytics Scores

    Top 20 in each Research Area

    Machine learning Top 20 Interest and Popularity Scores
    Google Trends data for gauging mindshare and awareness, the numbers are relative to their maximum (100), meaning number 100 has maximum interest right now and number 50 has half the interest it had from its peak of 100.

    Machine learning Top 20 Employment Demand Scores
    Open employment opportunities on the date of this report for the subject. Indicator of the need of employers for this specific skill set and therefore their organization's application of it in relation to the other subjects.

    Machine learning Top 20 Active Practitioners Scores
    Number of practitioners and professionals which have the subject skill set and experience. Indicator of the need of employers (and availability of employees) for this specific skill set and therefore their organization's application of it in relation to the other subjects.

    Machine learning Top 20 Monthly Searches Scores
    How often a month a search is performed for the keyword/phrase: and indicator of interest in the subject.

    Machine learning Top 20 Active Advertisers Scores
    This shows how many unique advertisers have appeared on this subject in the last 12 months. Indicator of the advertising being spent on the topic ergo investments being made to attract clients.

    Machine learning Top 20 Cost per Click Scores
    CPC: The average amount advertisers pay Google anytime someone clicks their own ad for this keyword. Indicator of the advertising being spent on the topic ergo investments being made to attract clients.

    Machine learning Top 20 Patents Issues Scores
    Patents issued for the specific subject. Indicator of R&D investments and innovation in the specific subject.

    Machine learning Top 20 Books in Print Scores
    Number of in-print books that cover the subject. Indicator of the need for knowledge sharing and its availability.

    Machine learning Top 20 Instruction and courseware available content Scores
    Number of instruction and courseware available content that covers the subject. Indicator of the need for knowledge sharing and its availability.

    Complete Results by Subject Covered

    Adaptive control, Amazon Machine Learning, Anomaly detection, ANOVA, AODE, Apache Mahout, Apache Spark, Artificial Intelligence, ArXiv, Autoencoder, Autonomous car, Azure machine learning studio, Boltzmann machine, Cognitive model, Convolutional neural network, Data science, Databricks, Decision tree, Deep learning, Deeplearning4j, Ensemble learning, Feature engineering, Feature learning, Functional programming, Gaussian process regression, Generalized linear model, KNIME, learning management system, Learning to rank, Linear regression, Logistic regression, Loss function, Machine ethics, MATLAB, Mobile Learning, Multinomial logistic regression, Naive Bay..and more