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Search Results - Showing 96 - 108 Of 128
_tutorial-1-video-1-intro-basic-variables.jpg "Tutorial 1 - Video 1 : Intro - Basic Variables from functions in python")
⏲ 5 min 85 sec ✓ 20-Jan-2020
_alex-kehayias-on-functional-game-engine-design.jpg "Functional Game Engine DesignnnAlex Kehayias will be exploring the challenges of building a game engine using a (mostly!) functional style in Clojure/ClojureScript. nnhttps://github.com/alexkehayias/chocolatier. nnHe has been actively working on it for over a year and has experimented with numerous approaches that have revealed many benefits and tradeoffs. We'll be seeing how to use data and functions to build a game and how to play nice with the imperative world.nnAbout the PresenternnAlex Keha")
⏲ 48 min 30 sec ✓ 20-Jan-2016
_basic-python-programming-for-earth-science-and-engineering.jpg "More information: nnhttps://ingeoexpert.com/en/courses-online/basic-python-programming-for-earth-science-and-engineering/nn----------------nnThis course is designed for professionals in the earth sciences and engineering who have never learned to program or who learned programming many years ago and wish to brush up on the fundamentals of programming.The course covers the basic topics of structured (or procedural) programming—variables and expressions, functions, branching, looping, and arra")
⏲ 1 min 16 sec ✓ 11-Jul-2023
_openai39s-chatgpt-part-01-a-game-changer-for-auto-maya-python-code-generation.jpg "ChatGPT -A Game Changern• ChatGPT is pretty cool and fast enough to generate python code in runtime for Autodesk Maya Tools using AI (Artificial Intelligence). n• In this 40 min video I discussed some of the utility functions. n• I did some RnD on the topics mentioned below.. The results are pretty awesome.n• These scripts are generated in run-time. n• It’s going to be a game changer for the way we think about solutions while writing the code for the tools in near")
⏲ 22 min 75 sec ✓ 08-Dec-2022
_lambda-days-2015-evelina-gabasova-understanding-cancer-behaviour-with-f.jpg "Evelina Gabasova - PhD student at University of Cambridge, interested in all things machine learningnnEvelina is a machine learning researcher working in bioinformatics and statistical genomics. She is developing mathematical models which integrate different types of genomic data to distinguish cancer subtypes.nShe studied computational statistics and machine learning at University College London and currently she is finishing her PhD at Cambridge University.nnEvelina has used many different lan")
⏲ 30 min 7 sec ✓ 06-May-2015
_tutorial-1-video-2-intro-basic-operators.jpg "Tutorial 1 - Video 2 : Intro - Basic Operators from functions in python")
⏲ 5 min 23 sec ✓ 21-Jan-2020
_demo-data-science-master-training-trainer-kumar.jpg "For More Info: Please visit, zarantech.com/data-science-master-program/nContact: +1 (515) 309-7846 (or) Email - info@zarantech.comn==========================================nCourse Duration:100 hours Live Training + Assignments + Actual Project Based Case Studiesn===========================================nMODULES COVERED IN THIS TRAINING:nnUnit 1: Programming in python and r:nnBelow topics are covered in this Python essentials module for Data Science.nPython & R basics.nConditional and loop")
⏲ 52 min 9 sec ✓ 10-Feb-2019
_mutation-testing-in-python-with-cosmic-ray-austin-bingham.jpg "Mutation testing is a technique for systematically mutating source code in order to validate test suites. It works by making small changes to a program’s source code and then running a test suite; if the test suite passes on mutated code then a flag is raised. The goal is to check that a system’s test suite is sufficiently powerful to detect a large class of functionality-affecting changes, thereby helping ensure that the system functions as expected. Mutation testing is a fascinating topic")
⏲ 29 min 85 sec ✓ 20-Jun-2016
_lewis-haley-showreel-summer-2012.jpg "This is my showreel for Summer 2012, as of 13th June, featuring work from my 3rd year at the NCCA, Bournemouth University.nnBreakdown:n0:00 - 0:06 Title pagen0:00 - 0:33 Maze game, written as part of a group in C++ and using OpenGL. I was in charge of writing the maze generation algorithms (the 2 I implemented were Recursive Backtracker and Hunt and Kill), and preparing the maze for use in the game. This included functions for placing pairs of doors and keys throughout the maze so that the key t")
⏲ 1 min 6 sec ✓ 13-Jun-2012
_vivaldi-a-domain-specific-language-for-volume-processing-and-visualization-on-distributed-heterogeneous-systems.jpg "Authors: HyungSuk Choi, Woohyuk Choi, Tran Minh Quan, David Hildebrand, Hanspeter Pfister, Won-Ki JeongnnAbstract: As the size of image data from microscopes and telescopes increases, the need for high-throughput processing and visualization of large volumetric data has become more pressing. At the same time, many-core processors and GPU accelerators are commonplace, making high-performance distributed heterogeneous computing systems affordable. However, effectively utilizing GPU clusters is dif")
⏲ 31 sec ✓ 04-Aug-2014
_programming-for-digital-humanities-4me502-episode-10-functions-in-python.jpg "In this video, we present a step by step tutorial on explaining the notion of functions, what it does mean and how to implement it in Python 3. The concept of function is fundamental for programming, specially when it comes to code reuse, promoting simplicity and dividing complex problems into simpler ones. A number of different examples are explained and illustrated, so It is very important that you not only watch actively the video but that you also sit beside your computer and try and code yo")
⏲ 25 min 13 sec ✓ 12-Dec-2020
_practical-deep-learning-in-theano-and-tensorflow-deep-learning-in-python-part-2.jpg "This course continues where my first course, Deep Learning in Python, left off. You already know how to build an artificial neural network in Python, and you have a plug-and-play script that you can use for TensorFlow. Neural networks are one of the staples of machine learning, and they are always a top contender in Kaggle contests. If you want to improve your skills with neural networks and deep learning, this is the course for you.nnYou already learned about backpropagation (and because of tha")
⏲ 1 min 33 sec ✓ 12-Apr-2016
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_tutorial-1-video-1-intro-basic-variables.webp "Tutorial 1 - Video 1 : Intro - Basic Variables from functions in python")
_alex-kehayias-on-functional-game-engine-design.webp "Functional Game Engine DesignnnAlex Kehayias will be exploring the challenges of building a game engine using a (mostly!) functional style in Clojure/ClojureScript. nnhttps://github.com/alexkehayias/chocolatier. nnHe has been actively working on it for over a year and has experimented with numerous approaches that have revealed many benefits and tradeoffs. We'll be seeing how to use data and functions to build a game and how to play nice with the imperative world.nnAbout the PresenternnAlex Keha")
_basic-python-programming-for-earth-science-and-engineering.webp "More information: nnhttps://ingeoexpert.com/en/courses-online/basic-python-programming-for-earth-science-and-engineering/nn----------------nnThis course is designed for professionals in the earth sciences and engineering who have never learned to program or who learned programming many years ago and wish to brush up on the fundamentals of programming.The course covers the basic topics of structured (or procedural) programming—variables and expressions, functions, branching, looping, and arra")
_openai39s-chatgpt-part-01-a-game-changer-for-auto-maya-python-code-generation.webp "ChatGPT -A Game Changern• ChatGPT is pretty cool and fast enough to generate python code in runtime for Autodesk Maya Tools using AI (Artificial Intelligence). n• In this 40 min video I discussed some of the utility functions. n• I did some RnD on the topics mentioned below.. The results are pretty awesome.n• These scripts are generated in run-time. n• It’s going to be a game changer for the way we think about solutions while writing the code for the tools in near")
_lambda-days-2015-evelina-gabasova-understanding-cancer-behaviour-with-f.webp "Evelina Gabasova - PhD student at University of Cambridge, interested in all things machine learningnnEvelina is a machine learning researcher working in bioinformatics and statistical genomics. She is developing mathematical models which integrate different types of genomic data to distinguish cancer subtypes.nShe studied computational statistics and machine learning at University College London and currently she is finishing her PhD at Cambridge University.nnEvelina has used many different lan")
_tutorial-1-video-2-intro-basic-operators.webp "Tutorial 1 - Video 2 : Intro - Basic Operators from functions in python")
_demo-data-science-master-training-trainer-kumar.webp "For More Info: Please visit, zarantech.com/data-science-master-program/nContact: +1 (515) 309-7846 (or) Email - info@zarantech.comn==========================================nCourse Duration:100 hours Live Training + Assignments + Actual Project Based Case Studiesn===========================================nMODULES COVERED IN THIS TRAINING:nnUnit 1: Programming in python and r:nnBelow topics are covered in this Python essentials module for Data Science.nPython & R basics.nConditional and loop")
_mutation-testing-in-python-with-cosmic-ray-austin-bingham.webp "Mutation testing is a technique for systematically mutating source code in order to validate test suites. It works by making small changes to a program’s source code and then running a test suite; if the test suite passes on mutated code then a flag is raised. The goal is to check that a system’s test suite is sufficiently powerful to detect a large class of functionality-affecting changes, thereby helping ensure that the system functions as expected. Mutation testing is a fascinating topic")
_lewis-haley-showreel-summer-2012.webp "This is my showreel for Summer 2012, as of 13th June, featuring work from my 3rd year at the NCCA, Bournemouth University.nnBreakdown:n0:00 - 0:06 Title pagen0:00 - 0:33 Maze game, written as part of a group in C++ and using OpenGL. I was in charge of writing the maze generation algorithms (the 2 I implemented were Recursive Backtracker and Hunt and Kill), and preparing the maze for use in the game. This included functions for placing pairs of doors and keys throughout the maze so that the key t")
_vivaldi-a-domain-specific-language-for-volume-processing-and-visualization-on-distributed-heterogeneous-systems.webp "Authors: HyungSuk Choi, Woohyuk Choi, Tran Minh Quan, David Hildebrand, Hanspeter Pfister, Won-Ki JeongnnAbstract: As the size of image data from microscopes and telescopes increases, the need for high-throughput processing and visualization of large volumetric data has become more pressing. At the same time, many-core processors and GPU accelerators are commonplace, making high-performance distributed heterogeneous computing systems affordable. However, effectively utilizing GPU clusters is dif")
_programming-for-digital-humanities-4me502-episode-10-functions-in-python.webp "In this video, we present a step by step tutorial on explaining the notion of functions, what it does mean and how to implement it in Python 3. The concept of function is fundamental for programming, specially when it comes to code reuse, promoting simplicity and dividing complex problems into simpler ones. A number of different examples are explained and illustrated, so It is very important that you not only watch actively the video but that you also sit beside your computer and try and code yo")
_practical-deep-learning-in-theano-and-tensorflow-deep-learning-in-python-part-2.webp "This course continues where my first course, Deep Learning in Python, left off. You already know how to build an artificial neural network in Python, and you have a plug-and-play script that you can use for TensorFlow. Neural networks are one of the staples of machine learning, and they are always a top contender in Kaggle contests. If you want to improve your skills with neural networks and deep learning, this is the course for you.nnYou already learned about backpropagation (and because of tha")
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