y = mx + b as AI Advertising

y = mx + b as AI Advertising

y = mx + b as AI Advertising data

CRM encapsulation is users created models. y = mx + b as AI Advertising data gathers data. The system of the encapsulation is an ethnographic gamification. Affective Computing cluster, contains and wrap nodes.

User input clusters x for its y.  This is from training neural networks on large mounds of data. x is transformed. It defines algorithms from one question. Qualitative why is Users’ how.

CRM Encapsulation

  • Do.
  • Who.
  • Why.
  • Where.

User created software is the massive number crunching with y = mx + b as AI Advertising. Pytorch establishes a new x for artificial intelligence. TensorFlow  is for deep neural network models.

Machine Learning

 

  • Gathering Data.
  • Prepare that Data.
  • Choose Model.
  • Training.
  • Evaluation.
  • Hyper-parameter Tuning.
  • Prediction.

Neural network layers rapidly prototype. Cross-platform and embedded deployment is the y = mx + b as AI Adverting.

Affective Computing Market worth 53.98 billion USD by 2021 

CRM solutions with y = mx + b as AI Adverting is a machine’s emotional intelligence. Healthcare sector of y = mx + b as AI Adverting is from User input. Condition of y = mx + b as AI Adverting outputs Weights. Parametric algorithms are Connections y = mx + b as AI Adverting Bias, so B2B knows what to advertise to B2C for.

Deep Learning

 

Affective Computing classify objects of y = mx + b as AI Adverting. Features and tasks are from User created data structures. They cluster and contain nodes.

  • Love and warmth.
  • Appreciation and gratitude.
  • Curiosity.
  • Excitement and passion.
  • Determination.
  • Flexibility.
  • Confidence.
  • Cheerfulness.
  • Health.
  • Contribution.

Ethnographic y = mx + b as AI Adverting is an interpretive marketing of CRM What.

  • Leave Ordinary.
  • Call to Adventure.
  • Enter New World.
  • Allies.
  • Overcome.
  • Self Discovery.
  • Atonement.
  • Return.

Input creates y = mx + b as AI Adverting data structured stories. They cluster, contain y intersects. New x deep learns and sorts for Marketplace AI.

 Self-Brand Overlap $500 Flame-Thrower Advertising Story

 

Gamification Deep Learning And AI Advertising

 

x y intersect is y = mx + b as AI Advertising of Gamification. B2B output is from B2C input. B2C role plays for a new x. User input outputs y advertising benefits. Game-based deep learning is from one question. CRM encapsulates rewards.

  • Meaning.
  • Empowerment.
  • Social Influence.
  • Unpredictable.
  • Avoidance.
  • Scarcity.
  • Ownership.
  • Accomplishment.

y = mx + b as AI Advertising

Ethnographic gamification algorithms test input data as conditions connect Product Market Fits from qualitative what that trains new advertising algorithmic functions that filter B2B’s how delivery of classification with simultaneous location Actor Networks and mapping for concrete implementation of AR as B2C’s when. 

Gamifiable.com self-brand overlaps the world’s information with one question to establish digital asset transfer and mobility from ethnographic gamified Actor Networks that link synchronized cryptography with a Social Transmedia database for the block-chain, machine learning technology convergence as a World Trade Platform.

With mobile gaming and convergent consensus technology of GamifiableAI.com that delivers what users want from their qualitative why as their quantitative how and while monetizing their mobile AR software when, SpaceZodiacs_v1 connects product Market Fits as a MVP Mobile Game that integrates CRM and a VR shopping app of GamifiedApp.com.

Developing, building and deploying computer programs that stimulate users to buy products advertised in gamifiable ethnographic technology that deliver campaigns, product launches of performance base advertisement and marketing scale into AR/VR and wrapped from user narratives as AI.

Machine learning deploys brand narratives for B2B to deliver B2C benefits.

VR Shopping!
GamifiedApp.com
Boom!

GamifiableAI.com
AI Consensus!

Gamifiable.com
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