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01:25 Successfully Evaluating Predictive Modelling … Successfully Evaluating Predictive Modelling Trailer	Successfully Evaluating Predictive Modelling Trailer Our free short online course, Successfully Evaluating Predictive Modelling will help you gain an in-depth understanding of evaluation and sampling approaches for effective predictive modelling using… ocp trailer activities lots regression analytics learners environments coding python opportunity readings videos learning tias probability predictions bayes models accuracy hands linear From Laurie Bowman on March 19th, 2021 0 likes 2 plays 0 Licence Type Creative Commons - Attribution Non Commercial Share A Like
01:03:35 Introduction to Data Science Pilot Webinar Introduction to Data Science Pilot Webinar	Introduction to Data Science Pilot Webinar Collaborate Ultra recording of the one-hour webinar Introduction to Data Science. https://www.ed.ac.uk/is/dataskills and https://www.ed.ac.uk/information-services/help-consultancy/is-skills data skills digital skills and training language sampling population science statistics programming visualization languages table python probability package jupyter packages hypothesis skills sample sql lot bit From Tracy Steinberg on October 8th, 2020 1 likes 46 plays 0 Publisher Tracy Steinberg Licence Type All rights reserved The University of Edinburgh Language English Date Created October 8th, 2020
01:28:42 Fred Hickernell, Illinois Institute of Technology… Fred Hickernell, Illinois Institute of Technology Quasi-Monte Carlo Software (MCQMC 2020, 10.08.20)	Fred Hickernell, Illinois Institute of Technology Quasi-Monte Carlo Software (MCQMC 2020, 10.08.20) Fred Hickernell, Illinois Institute of Technology Quasi-Monte Carlo Software (MCQMC 2020, 10.08.20) icms mcqmc points discrepancy problem lattice carlo tolerance monte point distribution sobel measure function questions answer things question integrand python lot seconds From Liam Holligan on August 11th, 2020 0 likes 129 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created August 10th, 2020
10:00 EPCC-PS-Introduction-2.3-Content EPCC-PS-Introduction-2.3-Content	EPCC-PS-Introduction-2.3-Content INFD11016: Lecture 1; Video 2 of 3 problem control performance lab source systems programming paper trs algorithm hardware mistakes developers computers files programs skills practices language python From Michael Jackson on August 10th, 2020 0 likes 83 plays 0 Course Code INFD11016 Licence Type Creative Commons - Attribution No Derivatives Language English
07:17 EPCC-PS-WritingProgramsForPeople-3.5-DRY EPCC-PS-WritingProgramsForPeople-3.5-DRY	EPCC-PS-WritingProgramsForPeople-3.5-DRY INFD11016: Lecture 3; Video 3 of 5 functions function element libraries packages mathematics copies dynamics numbers library learning machine science java python processing programming temptation routine fortran From Michael Jackson on July 29th, 2020 0 likes 78 plays 0 Course Code INFD11016 Licence Type Creative Commons - Attribution No Derivatives Language English
05:15 EPCC-PS-Conclusion-3.3-Choices EPCC-PS-Conclusion-3.3-Choices	EPCC-PS-Conclusion-3.3-Choices Conclusion (video 3) libraries tools languages language choice colleagues mistakes risk practices mike programmer tool library programming resources documentation python appropriateness criteria colleague From Michael Jackson on July 29th, 2020 0 likes 18 plays 0 Course Code INFD11016 Licence Type Creative Commons - Attribution No Derivatives Language English
04:46 Lecture 5 Part 1: Van der Pol Oscillator Lecture 5 Part 1: Van der Pol Oscillator	Lecture 5 Part 1: Van der Pol Oscillator A look at the behaviour of the van der pol oscillator and its solution using the Runge-Kutta integrator differential equations numerical method solution lambda lecture plot function conditions parameters oscillator equation phase mu equations solutions thing acceleration velocity python der van choice From David Ingram on July 10th, 2020 0 likes 406 plays 0 Course Code SCEE08009 Licence Type Creative Commons - Attribution Language English Date Created July 7th, 2020
04:25 Lecture 4 Part 2: Systems of equations Lecture 4 Part 2: Systems of equations	Lecture 4 Part 2: Systems of equations In this lecture we look at how the numerical methods can be extended to deal with systems of equations. differential equations numerical method vector function equations method solution euler equation hand table step side functions systems integrator bit python excel calculations problem updates From David Ingram on July 6th, 2020 0 likes 17 plays 0 Course Code SCEE08009 Licence Type Creative Commons - Attribution Language English Date Created July 1st, 2020
41:36 Introduction to Noteable Computational Notebooks… Introduction to Noteable Computational Notebooks - setting up your notebook	Introduction to Noteable Computational Notebooks - setting up your notebook Learn more about the Noteable service, the University of Edinburgh's cloud-based Jupyter notebook service available for teaching. This session includes a demonstration and introduction to… jupyter noteable nbgrader python From James Slack on June 17th, 2020 0 likes 44 plays 0 Publisher James Slack Licence Type Creative Commons - Attribution Date Created June 17th, 2020
01:09:03 Developing Your Data Skills Programme - Workshop… Developing Your Data Skills Programme - Workshop 1 - Introduction and Programming	Developing Your Data Skills Programme - Workshop 1 - Introduction and Programming At home recording of Developing Your Data Skills Programme - Workshop 1 - Introduction and Programming https://www.ed.ac.uk/is/dataskills and… digital skills data skills level skills workshop science videos bit linkedin hours pathway programming lot learning analysis statistics python introduction face certificate things questions From Tracy Steinberg on June 10th, 2020 0 likes 277 plays 0 Publisher Tracy Steinberg Licence Type All rights reserved The University of Edinburgh Language English Date Created June 10th, 2020
42:03 Python for Data Science Part 4: Pandas Python for Data Science Part 4: Pandas	Python for Data Science Part 4: Pandas The fourth and final part of the "Python for Data Science" course presentation. This video covers Pandas - a library for data manipulation and analysis. This video is part of the Digital… python for data science python digital skills and training programming From Yixuan He on May 12th, 2020 0 likes 72 plays 0 Course Code zu_python_data_science_2018_19 Publisher Yixuan He Licence Type Creative Commons - Attribution Language English Date Created May 12th, 2020
27:12 Python for Data Science Part 3: Matplotlib Python for Data Science Part 3: Matplotlib	Python for Data Science Part 3: Matplotlib The third part of the "Python for Data Science" course presentation. This video covers Matplotlib - a Python library for creating visualisations.This video is part of the Digital Skills… python for data science python digital skills and training programming From Yixuan He on May 12th, 2020 0 likes 73 plays 0 Course Code zu_python_data_science_2018_19 Publisher Yixuan He Licence Type Creative Commons - Attribution Language English Date Created May 12th, 2020
09:30 Solving Differential Equations in Python: Higher… Solving Differential Equations in Python: Higher order ODEs with solve_ivp	Solving Differential Equations in Python: Higher order ODEs with solve_ivp We look at how to break a second order ode into two couple first order ODEs so that these can be integrated using scipy's solve_ivp function. python solve_ivp ode high order function values derivatives equations times equation differential ivp position derivative thing minus mu oscillator condition 1n plot velocity things From Mark Naylor on April 30th, 2020 0 likes 76 plays 0 Course Code EASC09054 Licence Type Creative Commons - Attribution
11:23 Why do we need Numpy and Pandas? Why do we need Numpy and Pandas?	Why do we need Numpy and Pandas? Short explanation about the role of numpy and pandas in scientific computing python numpy pandas column numbers columns things lists mathematics plot values lots arrays frame elevation function types dataframe pd rows txt power From Mark Naylor on April 28th, 2020 0 likes 16 plays 0 Course Code EASC09054, EASC08025 Licence Type Creative Commons - Attribution Non Commercial
04:22 Three different ways to implement for loops in… Three different ways to implement for loops in Python	Three different ways to implement for loops in Python This video quickly shows you three different ways to implement for loops in Python. python loops values length loop thing function print indices integer a. array objects ways idea neater row entropy ghost enumerates From Mark Naylor on April 20th, 2020 0 likes 18 plays 0 Course Code EASC09054, EASC08025 Licence Type Creative Commons - Attribution
03:50 Using %timeit to time the speed of a function Using %timeit to time the speed of a function	Using %timeit to time the speed of a function When we develop code, the only bits we need to speed up are the slowest steps. This video shows how to time the performace of different functions. python timeit function values numpy things functions magic loops length lists microseconds operation array jess introduction folks performance increase magnitude orders target From Mark Naylor on April 16th, 2020 0 likes 9 plays 0 Course Code EASC09054 Licence Type Creative Commons - Attribution No Derivatives

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