Virtual reality PREDICTIVE ANALYTICS REPORT

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ANALYSIS

What You Need to Know

  • Breakouts in the Virtual reality predictive analytics are Cluster analysis, Linear regression, Deep learning. Seriously consider these technologies to gain a strategic advantage.
  • The technologies who are at the peak of their interest are Deep learning, Random forest, Autoencoder.
  • By far most employment needs are found in the Virtual Desktop, Deep learning, Virtual Server technologies.
  • These 3 fields have the most active practitioners who have the specific skill set or experience: Virtual Server, ANOVA, Virtual Desktop.
  • ANOVA, Linear regression, Logistic regression lead in searches for information online.
  • These three technologies are receiving the highest investments to gain clients: Virtual Data Room, Virtual Data Room Software, Virtual Dataroom.
  • These three technologies have the most active advertisers: Virtual Server, Virtual Office, Virtual Contact Center.
  • In patents, these three technologies have the most coverage Xbox One Controller, Linear regression, ANOVA.
  • The most publications are available for Linear regression, Artificial neural network, Logistic regression.
  • Instruction and courseware availability is highest in these technologies: Deep learning, Linear regression, ANOVA.

The Virtual reality 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 Predictive Analytics Scores below – ordered on Forecasted Future Needs and Demand from High to Low – shows you Virtual reality’s Predictive Analysis. The link takes you to a corresponding product in The Art of Service’s store to get started.

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 ten 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 available activity, patents, and books published.

Predictive Analytics Scores:

002293 – Cluster analysis
000784 – Linear regression
000438 – Deep learning
000269 – Convolutional neural network
000221 – Random forest
000207 – Logistic regression
000149 – Virtual Office
000084 – Virtual School
000076 – Gaussian process regression
000073 – Virtual Construction
000065 – Restricted Boltzmann Machine
000061 – Boltzmann machine
000058 – ANOVA
000056 – Virtualization Software
000055 – Virtual Desktop
000047 – ScreenSteps
000044 – Sift Science
000042 – Virtualization Manager
000038 – Virtual Practice
000037 – Virtual Contact Center
000036 – AODE
000034 – Wunderlist
000034 – Virtual Process
000031 – Virtual Terminal
000030 – Virtual Server
000029 – SLIQ
000029 – Hierarchical clustering
000027 – Semi-supervised learning
000024 – Autoencoder
000020 – Recurrent neural network
000017 – Bayesian statistics
000016 – Server Management Software
000012 – Virtual Receptionist
000011 – Virtual Data Room
000010 – Naive Bayes
000007 – Multinomial logistic regression
000003 – Fuzzy clustering
000003 – E-Learning Platform
000002 – Support vector machine
000002 – Perceptron
000002 – Apriori algorithm
000001 – Hidden Markov model
000001 – DBSCAN
000001 – Backpropagation
000001 – Artificial neural network
000000 – Xbox One Controller
000000 – WizIQ Virtual Classroom
000000 – Virtual Yard
000000 – Virtual Tap
000000 – Virtual Speech Center
000000 – Virtual Receptionist Services
000000 – Virtual Learning Platform
000000 – Virtual Dataroom
000000 – Virtual Data Room Software
000000 – Temporal difference learning
000000 – Spiking neural network
000000 – Self-organizing map
000000 – Revel Systems POS
000000 – Q-learning
000000 – Naive Bayes classifier
000000 – Matrix LMS
000000 – Local Outlier Factor
000000 – Linear classifier
000000 – Learning Vector Quantization
000000 – Lazy learning
000000 – K-means algorithm
000000 – Inductive logic programming
000000 – ID3 algorithm
000000 – Hierarchical temporal memory
000000 – Eclat algorithm
000000 – Deep belief network
000000 – Decision tree learning
000000 – Conditional Random Field
000000 – Classification and regression tree
000000 – Case-based reasoning
000000 – Bayesian network


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