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Deep Learning for the Life Sciences with Nikolay Oskolkov, Molecular Biosciences, Lund University
27 - 28 January 2025
Deep Learning for the Life Sciences with Nikolay Oskolkov, Molecular Biosciences, Lund University https://instats.org/seminar/deep-learning-for-the-life-sciences2?utm_source=dresa https://dresa.org.au/events/deep-learning-for-the-life-sciences-with-nikolay-oskolkov-molecular-biosciences-lund-university This intensive workshop provides a comprehensive exploration of deep learning applications in life sciences, focusing on practical techniques for analyzing complex biological datasets. Participants will gain theoretical and hands-on experience with deep learning tools such as TensorFlow and Keras, learning to construct neural networks and apply them to areas like genomics and personalized medicine. 2025-01-27 19:00:00 UTC 2025-01-28 01:00:00 UTC Nikolay Oskolkov, Molecular Biosciences, Lund University Instats info@instats.org [] [] [] open_to_all [] -
Deep Learning for Scientific Research with Nikolay Oskolkov, Molecular Biosciences, Lund University
27 - 28 January 2025
Deep Learning for Scientific Research with Nikolay Oskolkov, Molecular Biosciences, Lund University https://instats.org/seminar/deep-learning-for-the-life-sciences2?utm_source=dresa https://dresa.org.au/events/deep-learning-for-scientific-research-with-nikolay-oskolkov-molecular-biosciences-lund-university This intensive workshop provides a comprehensive exploration of deep learning applications for scientific research, with examples and practical techniques applied to complex biological datasets. Participants will gain theoretical and hands-on experience with deep learning tools such as TensorFlow and Keras, learning to construct neural networks and apply them to a variety of areas including genomics and personalized medicine. 2025-01-27 19:00:00 UTC 2025-01-28 01:00:00 UTC Nikolay Oskolkov, Molecular Biosciences, Lund University Instats info@instats.org [] [] [] open_to_all [] -
Linear and Nonlinear Dimensionality Reduction with Nikolay Oskolkov, Molecular Biosciences, Lund University
26 - 27 February 2025
Linear and Nonlinear Dimensionality Reduction with Nikolay Oskolkov, Molecular Biosciences, Lund University https://instats.org/seminar/linear-and-nonlinear-dimensionality-redu?utm_source=dresa https://dresa.org.au/events/linear-and-nonlinear-dimensionality-reduction-with-nikolay-oskolkov-molecular-biosciences-lund-university This seminar provides a comprehensive overview of dimension reduction techniques in R and Python for high-dimensional complex datasets, focusing on their practical applications. Participants will gain theoretical knowledge and practical experience in linear and nonlinear methods such as PCA, tSNE and UMAP. By the conclusion of the seminar, participants will understand the theoretical and practical foundations of these methods, with a wealth of examples that can be rapidly applied for their own research problems. 2025-02-26 19:00:00 UTC 2025-02-27 01:00:00 UTC Nikolay Oskolkov, Molecular Biosciences, Lund University Instats info@instats.org [] [] [] open_to_all []
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Deep Learning for the Life Sciences with Nikolay Oskolkov, Molecular Biosciences, Lund University
27 - 28 January 2025
Deep Learning for the Life Sciences with Nikolay Oskolkov, Molecular Biosciences, Lund University https://instats.org/seminar/deep-learning-for-the-life-sciences2?utm_source=dresa https://dresa.org.au/events/deep-learning-for-the-life-sciences-with-nikolay-oskolkov-molecular-biosciences-lund-university This intensive workshop provides a comprehensive exploration of deep learning applications in life sciences, focusing on practical techniques for analyzing complex biological datasets. Participants will gain theoretical and hands-on experience with deep learning tools such as TensorFlow and Keras, learning to construct neural networks and apply them to areas like genomics and personalized medicine. 2025-01-27 19:00:00 UTC 2025-01-28 01:00:00 UTC Nikolay Oskolkov, Molecular Biosciences, Lund University Instats info@instats.org [] [] [] open_to_all [] -
Deep Learning for Scientific Research with Nikolay Oskolkov, Molecular Biosciences, Lund University
27 - 28 January 2025
Deep Learning for Scientific Research with Nikolay Oskolkov, Molecular Biosciences, Lund University https://instats.org/seminar/deep-learning-for-the-life-sciences2?utm_source=dresa https://dresa.org.au/events/deep-learning-for-scientific-research-with-nikolay-oskolkov-molecular-biosciences-lund-university This intensive workshop provides a comprehensive exploration of deep learning applications for scientific research, with examples and practical techniques applied to complex biological datasets. Participants will gain theoretical and hands-on experience with deep learning tools such as TensorFlow and Keras, learning to construct neural networks and apply them to a variety of areas including genomics and personalized medicine. 2025-01-27 19:00:00 UTC 2025-01-28 01:00:00 UTC Nikolay Oskolkov, Molecular Biosciences, Lund University Instats info@instats.org [] [] [] open_to_all [] -
Linear and Nonlinear Dimensionality Reduction with Nikolay Oskolkov, Molecular Biosciences, Lund University
26 - 27 February 2025
Linear and Nonlinear Dimensionality Reduction with Nikolay Oskolkov, Molecular Biosciences, Lund University https://instats.org/seminar/linear-and-nonlinear-dimensionality-redu?utm_source=dresa https://dresa.org.au/events/linear-and-nonlinear-dimensionality-reduction-with-nikolay-oskolkov-molecular-biosciences-lund-university This seminar provides a comprehensive overview of dimension reduction techniques in R and Python for high-dimensional complex datasets, focusing on their practical applications. Participants will gain theoretical knowledge and practical experience in linear and nonlinear methods such as PCA, tSNE and UMAP. By the conclusion of the seminar, participants will understand the theoretical and practical foundations of these methods, with a wealth of examples that can be rapidly applied for their own research problems. 2025-02-26 19:00:00 UTC 2025-02-27 01:00:00 UTC Nikolay Oskolkov, Molecular Biosciences, Lund University Instats info@instats.org [] [] [] open_to_all []
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