Essays about: "Definierad maskininlärning"

Found 5 essays containing the words Definierad maskininlärning.

  1. 1. Evaluating Marketing Initiatives using Explainable Machine Learning : An Alternative to Attribution Models

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : João Ferreira; [2023]
    Keywords : Explainable Machine Learning; Attribution models; Marketing Automation; Search Engine Optimization; A B testing; Definierad maskininlärning; Attributionsmodeller; Automatisering av marknadsföring; Optimering av sökmotor; A B-tester;

    Abstract : Since its inception, Marketing has always needed more clearly defined incrementality, i.e., a measurement of advertisement effectiveness. Nowadays, Marketing is an evergrowing business; within it, Digital Marketing is taking the spotlight. READ MORE

  3. 2. Tuning of the ESS Drift Tube Linac using Machine Learning

    University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/European Spallation Source ESS AB

    Author : Johan Lundquist; [2022]
    Keywords : Accelerator; drift tube linac; machine learning; neural network; ESS; linac; tuning; proton; longitudinal dynamics; beam physics; Physics and Astronomy;

    Abstract : The European Spallation Source, currently under construction in Lund, Sweden, will be the world's brightest neutron source. It is driven by a linear accelerator designed to accelerate a beam of protons with 62.5 mA, 2.86 ms long pulses, working at 14 Hz. READ MORE

  4. 3. Extracting Behaviour Trees from Deep Q-Networks : Using learning from demostration to transfer knowledge between models.

    University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystem

    Author : Zacharias Nordström; [2020]
    Keywords : Behaviour tree; deep q-network; extraction;

    Abstract : In recent years the advancement in machine learning have solved more and more complex problems. But still these techniques are not commonly used in the industry. One problem is that many of the techniques are black boxes, it is hard to analyse them to make sure that their behaviour is safe. READ MORE

  5. 4. Analyzing Radial Basis Function Neural Networks for predicting anomalies in Intrusion Detection Systems

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Sai Shyamsunder Kamat; [2019]
    Keywords : anomaly; cyber security; evaluation; machine learning; radial basis function; random forest classifier; supervised learning; anomali; cybersäkerhet; utvärdering; maskininlärning; radialbaserad funktion; slumpmässig skogsklassificering; övervakad inlärning;

    Abstract : In the 21st century, information is the new currency. With the omnipresence of devices connected to the internet, humanity can instantly avail any information. However, there are certain are cybercrime groups which steal the information. READ MORE

  6. 5. Identifying Pitfalls in Machine Learning Implementation Projects : A Case Study of Four Technology-Intensive Organizations

    University essay from KTH/Industriell Marknadsföring och Entreprenörskap

    Author : Elin Clemmedsson; [2018]
    Keywords : artificial intelligence; machine learning; pitfalls; implementation; project management; artificiell intelligens; AI; maskininlärning; fallgropar; implementation; projektledning;

    Abstract : This thesis undertook the investigation of finding often occurring mistakes and problems that organizations face when conducting machine learning implementation projects. Machine learning is a technology with the strength of providing insights from large amounts of data. READ MORE