neural networks
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Dominic Orr, CEO of Aruba Networks, observes a significant difference between going public in the post dot-com boom era in comparison to the actual boom. Orr argues that in the post-bubble era investors are much more thoughtful and analytical.
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Dominic Orr, CEO of Aruba Networks, reflects on what he wished he had known as a student. Orr argues that as a student, a great deal of emphasis was placed on individual accomplishment whereas in professional life the accomplishments of the team and the company are much more important than any individual contribution.
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Just how near are we to using our brains routinely to control machines for work or leisure purposes? Will we be able to improve the performance of our existing brains? Have advances in neuroscience, neural network modelling and the physical sciences led us to the point where it could soon be possible to create artificial, nanoscale brains and where might such technology lead us?
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Armen Berjikly, Founder and CEO of Experience Project, discusses how to build a start-up team, a task that he argues is critical for success. Berjikly suggests building a team of people with complementary skills by reaching out through personal networks and in some cases recruiters. On the other hand, he suggests that entrepreneurs avoid hiring from sites such as Craigslist or other sources where it is difficult to verify someone's skills.
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Dominic Orr, CEO of Aruba Networks, speaks about lessons learned from applying the HP way to startups. Orr suggests that he has achieved great results from giving employees respect and dignity. At the same time, Orr acknowledges mistakes he has made in applying the HP way to startups. In particular, in a large organization, such as HP, there time for long feedback cycles because any mistakes from giving people too much benefit of the doubt...more
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Note: This course is offered by Stanford as an online course for credit. It can be taken individually, or as part of a master’s degree or graduate certificate earned online through the Stanford Center for Professional Development. This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learnin...more
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Multinomial Event Model, Non-linear Classifiers, Neural Network, Applications of Neural Network, Intuitions about Support Vector Machine (SVM), Notation for SVM, Functional and Geometric Margins
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Professor Diamond continues her discussion of the nervous system beginning with a discussion of myelin-forming oligodendrocytes and Schwann cells, saltatory conduction from the nodes of ranvier, and the similarity of the function of microglia to monocytes. She moves on to describe the development of the neural tube by drawing a cross-section of the neural tube and depicting the changes it undergoes, forming the ventricles of the brain, whi...more
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Professor Diamond continues her discussion of the nervous system, finishing her discussion of the derivatives of the neural tube. She begins by discussing the lamina terminalis and the four ventricles, relating each to the source of their derivation and the areas of the brain in which they are found. Next, she continues her discussion of diencephalon from the last lecture and describes the roles of the thalamus and hypothalamus. After d...more
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In this lecture, Professor Diamond continues her discussion of the nervous system and begins by reviewing the telencephalon before transitioning into a discussion of the six layers of the neocortex. She discusses the hippocampal-dentate complex, the archicortex, and the temporal lobe, which contains the hippocampus and pyramidal cells along with the fimbrea, fornix, and mammilary bodies. To enhance students' understanding of the neural tu...more
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