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AI News Monday, July 16

IoT Keynote: Are You Seeing DOTS?

  • DXWorldEXPO LLC, the producer of the world’s most influential technology conferences and trade shows has announced the conference tracks forCloudEXPO |DXWorldEXPO 2018 New York.
  • DXWordEXPO New York 2018 andCloud Expo New York 2018 agenda present 222 rockstar faculty members, 200 sessions and 22 keynotes and general sessions in 10 distinct conference 2018 New York cover all of these tools, with the most comprehensive program and with 222 rockstar speakers throughout our industry presenting 22Keynotes…
  • CloudEXPO isthe world’s most influentialtechnologyevent where Cloud Computing was coined over a decade ago and where technology buyers and vendors meet to experience and discuss the big picture of Digital Transformation and all of the strategies, tactics, and tools they need to realize their goals.
  • DXWorldEXPO |CloudEXPO are pleased to bring you the latestFinTech developments as an integral part of our accepting speaking submissions for this new track, so please visitCloud Computing Expo for the latest information or contact us together all this in a single Build your own custom experience.
  • Cloud-driven thinking has become the norm in financial services, manufacturing, telco, healthcare, transportation, energy, media, entertainment, retail and other consumer industries, and the public single show where technology buyers and vendors can meet to experience and discus cloud computing and all that it entails.

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IoT Keynote: Are You Seeing DOTS? | @ExpoDX #AI #IoT #IIoT #API #BigData #SmartCities #DigitalTransformation | CloudEXPO Journal

Learn About Quantum Computing

  • For my current limited quantum computing knowledge, I have learned from resources from Wikipedia, IBM, and Microsoft.
  • Linear Algebra – – To understand the world of quantum computing, you need to understand several linear algebra concepts.
  • The Vectors and Matrices article in Microsoft’s quantum computing concepts section is quite good.
  • Qubits – – Whereas bits are the basic object of classical computing, qubits are the fundamental object of information in the quantum computing world.
  • IBM current has 5 qubit and 16 qubit quantum computers in the Q Experience.

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Learn About Quantum Computing | @CloudExpo #AI #ArtificialIntelligence | CloudEXPO Journal

If Your Data Is Bad, Your Machine Learning Tools Are Useless

  • Poor data quality is enemy number one to the widespread, profitable use of machine learning.
  • The quality demands of machine learning are steep, and bad data can rear its ugly head twice both in the historical data used to train the predictive model and in the new data used by that model to make future decisions.
  • To ensure you have the right data for machine learning, you must have an aggressive, well-executed quality program.
  • Poor data quality is enemy number one to the widespread, profitable use of machine learning.
  • The quality demands of machine learning are steep, and bad data can rear its ugly head twice first in the historical data used to train the predictive model and second in the new data used by that model to make future decisions.

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If Your Data Is Bad, Your Machine Learning Tools Are Useless

Building a Deep Learning Model for Process Optimisation

  • The objective of this paper is to present the process of building a Deep Learning Model for optimising the output for a Production Process from a Training sample using Weka Multilayer Perceptron.
  • The Genetic Algorithm is specifically developed and adapted for the kind of data involved and is dealt with in detail – – This work is the outcome of a comprehensive prototyping and proof-of-concept exercise conducted at Turing Point (http://www.turing-point.com/) a consulting company focused on providing genuine Enterprise Machine Learning solutions…
  • Figure 2 Neural Network with 2 hidden layers with 5 and 10 neurons respectively – – Figure 3 Neural Network with 3 hidden layers having 5,10 and 5 neurons respectively in each layer – – The training criterion is to reach global minima wherein the error on Epoch does not…
  • For the single hidden network layer architecture described in Figure 1, the errors are as follows: – – For the architecture having 2 hidden layers described in Figure 2, the errors are as follows: – – Finally for the deep network architecture having 3 hidden layers described in Figure 3…
  • Having identified the model that would emulate the behaviour of Shotcrete Production process, the next goal is to identify the combination of Agitator trucks, Agitator capacity, Kibble trucks, Kibble capacity and the distance to site that would maximise the Shotcrete output.

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Building a Deep Learning Model for Process Optimisation

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Xinhua – China, World, Business, Sports, Entertainment, Photos and Video

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Xinhua – China, World, Business, Sports, Entertainment, Photos and Video | English.news.cn

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NodeXL Graph Gallery: Graph Details

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NodeXL Graph Gallery: Graph Details

Daily News From Charles Hall

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Daily News From Charles Hall