Job, interview, ml, ai & much more…
AI News Friday, June 29
- Robotics & Artificial Intelligence
- 51 Job Interview Related Questions of Machine Learning (ML) and Artificial Intelligence (AI) – Engineering
Job, Interview, ML, AI
- Big data analytics for dummies
BigData, DataScience, MachineLearning
- Eckerson Group
digitaltransformation, datascience, machinelearning, data, BI, AI
- 3GC Group: Merging Machine Learning and DevOps with Managed Services
- How artificial intelligence will improve web technology
DataAsia, BigData, HongKong
- Steak & chips – how IoT and machine learning will disrupt risk in Animal Insurance
- Cloud wars 2018: 6 things we learned in the first half
cloud, SAAS, IoT, AI, ML
- Ahmed Karam – أحمد كرم on LinkedIn: “This deep-learning machine has conquered…
- The Skills Needed to Survive the Robot Invasion of the Workplace
Robot, Workplace, fintech, insurtech
- Listen to our webinar to learn how Robotics & Artificial Intelligence (AI), can maximise your talent acquisition and management strategies.
- We often hear that Robotics & AI are set to change the world we work, and live in – beyond recognition.
- There is now an abundance of information circulating about the impending tech invasion that its hard to decipher exactly what it all means and, more importantly,how it will actually impact us as talentprofessionals.
- — – – The ImpendingDigital Transformation – – The actualwhat, when, where and why.
- — – – Back to the Future – – In what ways are these innovations altering the future of talent acquisition and management?
@WeAreAMS: To find out more and listen to our webinar, click here – https://t.co/NlyrPi4S2L https://t.co/zjK1R5bUHr
51 Job Interview Related Questions of Machine Learning (ML) and Artificial Intelligence (AI) – Engineering
- Answer:Prior probability is nothing but, the proportion of dependent (binary) variable in the data set.
- Therefore, we learned that, a linear regression model can provide robust prediction given the data set satisfies itslinearity assumptions.
- Then, these samples are used to generate a set of models using a single learning algorithm.
- If you run PCA on this data set, the first principal component would exhibit twice the variance than it would exhibit with uncorrelated variables.
- kmeans algorithm partitions a data set into clusters such that a cluster formed is homogeneous and the points in each cluster are close to each other.
@EckovationApp: 51 #Job #Interview Related Questions of Machine Learning (#ML) and Artificial Intelligence (#AI) https://t.co/08OJb1WBjw via @eckovationapp
- The TOREADOR (TrustwOrthy model-awaRE Analytics Data platfORm) methodology and toolkit offer a solution to both problems: they automate and commoditise Big Data analytics, while making its tailoring to domain-specific customer requirements much easier than before.
- Our declarative models can interactively collect the business goals of Big Data campaigns and allow the TOREADOR toolkit to provide automatic advice on the feasibility of solutions.
- Our procedural models then provide an innovative description of the Big Data analytics computation in the OWL/S semantics-aware standards, and our compilers translate these procedural models into fully executable workflows or even into natively parallelised Python code.
- Besides, the TOREADOR methodology has been released to other European projects using Big Data campaigns like EVOTION, Dr. Damiani says.
- Until then, the consortium intends to keep enlarging the catalogue of services available in the platform and provide examples of TOREADOR-enabled Big Data campaigns, including training and deployment of advanced machine learning models.
@BristowColin: Big data analytics for dummiesRead more here: https://t.co/4iAhDfIWtf#BigData #DataScience #MachineLearning… https://t.co/9Eb2EN7T80
@EckersonGroup: A double dose of #digitaltransformation and #datascience= https://t.co/WSmTBunGej #machinelearning #data #BI #AI
@cioreview: 3GC Group: Merging #MachineLearning and #DevOps with Managed Services https://t.co/Ix1Ao7HFZE @3GC_Group https://t.co/0YngaiMYlH
@IE_IvyChen: How artificial intelligence will improve web technology https://t.co/TtZRoF9le2 #DataAsia #BigData #HongKong
@BristowColin: Steak & chips – how IoT and machine learning will disrupt risk in Animal Insurance https://t.co/4XN9tdmgmT #IoT… https://t.co/DiBL5kAo3P
@cybersecboardrm: Cloud wars 2018:6 things we learned in the first half https://t.co/E8Ym6Pcu9v #cloud #SAAS #IoT #AI #ML @zdnet… https://t.co/p9UkduKnSg
@Dr_AhmedKaram: This deep-learning machine has conquered the Rubik’s Cube. #machinelearning https://t.co/uIT48jtCcl https://t.co/cgULschXoX
@SpirosMargaris: The Skills Needed to Survivethe #Robot Invasion of the #Workplace https://t.co/6bao7XFiWk #fintech #insurtech… https://t.co/gNiYRiL0Y7
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