The short answer is because the fact that properties that computer scientists and data scientist are interested in are discrete valued. So, computer scientists / data scientists / etc solve differential equations all the time. You only finished high school. ._1zyZUfB30L-DDI98CCLJlQ{border:1px solid transparent;display:block;padding:0 16px;width:100%;border:1px solid var(--newCommunityTheme-body);border-radius:4px;box-sizing:border-box}._1zyZUfB30L-DDI98CCLJlQ:hover{background-color:var(--newCommunityTheme-primaryButtonTintedEighty)}._1zyZUfB30L-DDI98CCLJlQ._2FebEA49ReODemDlwzYHSR,._1zyZUfB30L-DDI98CCLJlQ:active,._1zyZUfB30L-DDI98CCLJlQ:hover{color:var(--newCommunityTheme-bodyText);fill:var(--newCommunityTheme-bodyText)}._1zyZUfB30L-DDI98CCLJlQ._2FebEA49ReODemDlwzYHSR,._1zyZUfB30L-DDI98CCLJlQ:active{background-color:var(--newCommunityTheme-primaryButtonShadedEighty)}._1zyZUfB30L-DDI98CCLJlQ:disabled,._1zyZUfB30L-DDI98CCLJlQ[data-disabled],._1zyZUfB30L-DDI98CCLJlQ[disabled]{background-color:var(--newCommunityTheme-primaryButtonTintedFifty);color:rgba(var(--newCommunityTheme-bodyText),.5);fill:rgba(var(--newCommunityTheme-bodyText),.5);cursor:not-allowed}._1zyZUfB30L-DDI98CCLJlQ:active,._1zyZUfB30L-DDI98CCLJlQ:disabled,._1zyZUfB30L-DDI98CCLJlQ:hover,._1zyZUfB30L-DDI98CCLJlQ[data-disabled],._1zyZUfB30L-DDI98CCLJlQ[disabled]{border:1px solid var(--newCommunityTheme-body)}._1O2i-ToERP3a0i4GSL0QwU,._1uBzAtenMgErKev3G7oXru{display:block;fill:var(--newCommunityTheme-body);height:22px;width:22px}._1O2i-ToERP3a0i4GSL0QwU._2ilDLNSvkCHD3Cs9duy9Q_,._1uBzAtenMgErKev3G7oXru._2ilDLNSvkCHD3Cs9duy9Q_{height:14px;width:14px}._2kBlhw4LJXNnk73IJcwWsT,._1kRJoT0CagEmHsFjl2VT4R{height:24px;padding:0;width:24px}._2kBlhw4LJXNnk73IJcwWsT._2ilDLNSvkCHD3Cs9duy9Q_,._1kRJoT0CagEmHsFjl2VT4R._2ilDLNSvkCHD3Cs9duy9Q_{height:14px;width:14px}._3VgTjAJVNNV7jzlnwY-OFY{font-size:14px;line-height:32px;padding:0 16px}._3VgTjAJVNNV7jzlnwY-OFY,._3VgTjAJVNNV7jzlnwY-OFY._2ilDLNSvkCHD3Cs9duy9Q_{font-weight:700;letter-spacing:.5px;text-transform:uppercase}._3VgTjAJVNNV7jzlnwY-OFY._2ilDLNSvkCHD3Cs9duy9Q_{font-size:12px;line-height:24px;padding:4px 9px 2px;width:100%}._2QmHYFeMADTpuXJtd36LQs{font-size:14px;line-height:32px;padding:0 16px}._2QmHYFeMADTpuXJtd36LQs,._2QmHYFeMADTpuXJtd36LQs._2ilDLNSvkCHD3Cs9duy9Q_{font-weight:700;letter-spacing:.5px;text-transform:uppercase}._2QmHYFeMADTpuXJtd36LQs._2ilDLNSvkCHD3Cs9duy9Q_{font-size:12px;line-height:24px;padding:4px 9px 2px;width:100%}._2QmHYFeMADTpuXJtd36LQs:hover ._31L3r0EWsU0weoMZvEJcUA{display:none}._2QmHYFeMADTpuXJtd36LQs ._31L3r0EWsU0weoMZvEJcUA,._2QmHYFeMADTpuXJtd36LQs:hover ._11Zy7Yp4S1ZArNqhUQ0jZW{display:block}._2QmHYFeMADTpuXJtd36LQs ._11Zy7Yp4S1ZArNqhUQ0jZW{display:none}._2CLbCoThTVSANDpeJGlI6a{width:100%}._2CLbCoThTVSANDpeJGlI6a:hover ._31L3r0EWsU0weoMZvEJcUA{display:none}._2CLbCoThTVSANDpeJGlI6a ._31L3r0EWsU0weoMZvEJcUA,._2CLbCoThTVSANDpeJGlI6a:hover ._11Zy7Yp4S1ZArNqhUQ0jZW{display:block}._2CLbCoThTVSANDpeJGlI6a ._11Zy7Yp4S1ZArNqhUQ0jZW{display:none} I'll try to have fun, but I always have 3 extra hours every day. My boss tasked me with implementing this. It's very common for edge detection. There are some problems where turning them into a continuous problem and solving it using differential equations is a good move, but very often it’s not. Rules Be Fair. ._3-SW6hQX6gXK9G4FM74obr{display:inline-block;vertical-align:text-bottom;width:16px;height:16px;font-size:16px;line-height:16px} Stochastic Differential Equations and Levy Models with Applications to High Frequency Data. Programming can be hard until you get a handle and being a better programmer going in will save you tons of time throughout your degree. ._3Qx5bBCG_O8wVZee9J-KyJ{border-top:1px solid var(--newRedditTheme-line);margin-top:16px;padding-top:16px}._3Qx5bBCG_O8wVZee9J-KyJ ._2NbKFI9n3wPM76pgfAPEsN{margin:0;padding:0}._3Qx5bBCG_O8wVZee9J-KyJ ._2NbKFI9n3wPM76pgfAPEsN ._2btz68cXFBI3RWcfSNwbmJ{font-family:Noto Sans,Arial,sans-serif;font-size:14px;font-weight:400;line-height:21px;display:-ms-flexbox;display:flex;-ms-flex-pack:justify;justify-content:space-between;margin:8px 0}._3Qx5bBCG_O8wVZee9J-KyJ ._2NbKFI9n3wPM76pgfAPEsN ._2btz68cXFBI3RWcfSNwbmJ.QgBK4ECuqpeR2umRjYcP2{opacity:.4}._3Qx5bBCG_O8wVZee9J-KyJ ._2NbKFI9n3wPM76pgfAPEsN ._2btz68cXFBI3RWcfSNwbmJ label{font-size:12px;font-weight:500;line-height:16px;display:-ms-flexbox;display:flex;-ms-flex-align:center;align-items:center}._3Qx5bBCG_O8wVZee9J-KyJ ._2NbKFI9n3wPM76pgfAPEsN ._2btz68cXFBI3RWcfSNwbmJ label svg{fill:currentColor;height:20px;margin-right:4px;width:20px}._3Qx5bBCG_O8wVZee9J-KyJ ._4OtOUaGIjjp2cNJMUxme_{-ms-flex-align:center;align-items:center;display:-ms-flexbox;display:flex;-ms-flex-pack:justify;justify-content:space-between;padding:0;width:100%}._3Qx5bBCG_O8wVZee9J-KyJ ._4OtOUaGIjjp2cNJMUxme_ svg{display:inline-block;height:12px;width:12px}.isInButtons2020 ._4OtOUaGIjjp2cNJMUxme_{padding:0 12px}.isInButtons2020 ._1ra1vBLrjtHjhYDZ_gOy8F{font-family:Noto Sans,Arial,sans-serif;font-size:12px;font-weight:700;letter-spacing:unset;line-height:16px;text-transform:unset}._1ra1vBLrjtHjhYDZ_gOy8F{--textColor:var(--newCommunityTheme-widgetColors-sidebarWidgetTextColor);--textColorHover:var(--newCommunityTheme-widgetColors-sidebarWidgetTextColorShaded80);font-size:10px;font-weight:700;letter-spacing:.5px;line-height:12px;text-transform:uppercase;color:var(--textColor);fill:var(--textColor);opacity:1}._1ra1vBLrjtHjhYDZ_gOy8F._2UlgIO1LIFVpT30ItAtPfb{--textColor:var(--newRedditTheme-widgetColors-sidebarWidgetTextColor);--textColorHover:var(--newRedditTheme-widgetColors-sidebarWidgetTextColorShaded80)}._1ra1vBLrjtHjhYDZ_gOy8F:active,._1ra1vBLrjtHjhYDZ_gOy8F:hover{color:var(--textColorHover);fill:var(--textColorHover)}._1ra1vBLrjtHjhYDZ_gOy8F:disabled,._1ra1vBLrjtHjhYDZ_gOy8F[data-disabled],._1ra1vBLrjtHjhYDZ_gOy8F[disabled]{opacity:.5;cursor:not-allowed} For example, the following two equations say the same thing: You can solve this as a differential equation if you want, but it’s much easier to solve it as a recurrence. Ernest Barany. It really depends on the domain/project. The only math you should be doing is how many asses you've tapped this summer. Can any one explain this? ._3Im6OD67aKo33nql4FpSp_{border:1px solid var(--newCommunityTheme-widgetColors-sidebarWidgetBorderColor);border-radius:5px 5px 4px 4px;overflow:visible;word-wrap:break-word;background-color:var(--newCommunityTheme-body);padding:12px}.lnK0-OzG7nLFydTWuXGcY{font-size:10px;font-weight:700;letter-spacing:.5px;line-height:12px;text-transform:uppercase;padding-bottom:4px;color:var(--newCommunityTheme-navIcon)} Anything you spend the whole summer on will be covered in 3 weeks at a decent university. As far as I know all these 'kinds' of math are prerequesite to any math majors. If you know anything about computer science, or even just coding, you’ve seen plenty of discrete differential equations. A third way of classifying differential equations, a DFQ is considered homogeneous if & only if all terms separated by an addition or a subtraction operator include the dependent variable; otherwise, it’s non-homogeneous. I finished high school a week ago, and I’m going to major in computer science. /*# sourceMappingURL=https://www.redditstatic.com/desktop2x/chunkCSS/TopicLinksContainer.361933014be843c79476.css.map*/._2ppRhKEnnVueVHY_G-Ursy{-ms-flex-align:center;align-items:center;display:-ms-flexbox;display:flex;margin:22px 0 0;min-height:200px;overflow:hidden;position:relative}._2KLA5wMaJBHg0K2z1q0ci_{margin:0 -7px -8px}._1zdLtEEpuWI_Pnujn1lMF2{bottom:0;position:absolute;right:52px}._3s18OZ_KPHs2Ei416c7Q1l{margin:0 0 22px;position:relative}.LJjFa8EhquYX8xsTnb9n-{filter:grayscale(40%);position:absolute;top:11px}._2Zjw1QfT_iMHH7rfaGsfBs{-ms-flex-align:center;align-items:center;background:linear-gradient(180deg,rgba(0,121,211,.24),rgba(0,121,211,.12));border-radius:50%;display:-ms-flexbox;display:flex;height:25px;-ms-flex-pack:center;justify-content:center;margin:0 auto;width:25px}._2gaJVJ6_j7vwKV945EABN9{background-color:var(--newCommunityTheme-button);border-radius:50%;height:15px;width:15px;z-index:1} A place for data science practitioners and professionals to discuss and debate data science career questions. ._2a172ppKObqWfRHr8eWBKV{-ms-flex-negative:0;flex-shrink:0;margin-right:8px}._39-woRduNuowN7G4JTW4I8{border-top:1px solid var(--newCommunityTheme-widgetColors-lineColor);margin-top:12px;padding-top:12px}._3AOoBdXa2QKVKqIEmG7Vkb{font-size:12px;font-weight:400;line-height:16px;-ms-flex-align:center;align-items:center;background-color:var(--newCommunityTheme-body);border-radius:4px;display:-ms-flexbox;display:flex;-ms-flex-direction:row;flex-direction:row;margin-top:12px}.vzEDg-tM8ZDpEfJnbaJuU{color:var(--newCommunityTheme-button);fill:var(--newCommunityTheme-button);height:14px;width:14px}.r51dfG6q3N-4exmkjHQg_{font-size:10px;font-weight:700;letter-spacing:.5px;line-height:12px;text-transform:uppercase;display:-ms-flexbox;display:flex;-ms-flex-pack:justify;justify-content:space-between}._2ygXHcy_x6RG74BMk0UKkN{margin-left:8px}._2BnLYNBALzjH6p_ollJ-RF{display:-ms-flexbox;display:flex;margin-left:auto}._1-25VxiIsZFVU88qFh-T8p{padding:0}._3BmRwhm18nr4GmDhkoSgtb{color:var(--newCommunityTheme-bodyText);-ms-flex:0 0 auto;flex:0 0 auto;line-height:16px} .c_dVyWK3BXRxSN3ULLJ_t{border-radius:4px 4px 0 0;height:34px;left:0;position:absolute;right:0;top:0}._1OQL3FCA9BfgI57ghHHgV3{-ms-flex-align:center;align-items:center;display:-ms-flexbox;display:flex;-ms-flex-pack:start;justify-content:flex-start;margin-top:32px}._1OQL3FCA9BfgI57ghHHgV3 ._33jgwegeMTJ-FJaaHMeOjV{border-radius:9001px;height:32px;width:32px}._1OQL3FCA9BfgI57ghHHgV3 ._1wQQNkVR4qNpQCzA19X4B6{height:16px;margin-left:8px;width:200px}._39IvqNe6cqNVXcMFxFWFxx{display:-ms-flexbox;display:flex;margin:12px 0}._39IvqNe6cqNVXcMFxFWFxx ._29TSdL_ZMpyzfQ_bfdcBSc{-ms-flex:1;flex:1}._39IvqNe6cqNVXcMFxFWFxx .JEV9fXVlt_7DgH-zLepBH{height:18px;width:50px}._39IvqNe6cqNVXcMFxFWFxx ._3YCOmnWpGeRBW_Psd5WMPR{height:12px;margin-top:4px;width:60px}._2iO5zt81CSiYhWRF9WylyN{height:18px;margin-bottom:4px}._2iO5zt81CSiYhWRF9WylyN._2E9u5XvlGwlpnzki78vasG{width:230px}._2iO5zt81CSiYhWRF9WylyN.fDElwzn43eJToKzSCkejE{width:100%}._2iO5zt81CSiYhWRF9WylyN._2kNB7LAYYqYdyS85f8pqfi{width:250px}._2iO5zt81CSiYhWRF9WylyN._1XmngqAPKZO_1lDBwcQrR7{width:120px}._3XbVvl-zJDbcDeEdSgxV4_{border-radius:4px;height:32px;margin-top:16px;width:100%}._2hgXdc8jVQaXYAXvnqEyED{animation:_3XkHjK4wMgxtjzC1TvoXrb 1.5s ease infinite;background:linear-gradient(90deg,var(--newCommunityTheme-field),var(--newCommunityTheme-inactive),var(--newCommunityTheme-field));background-size:200%}._1KWSZXqSM_BLhBzkPyJFGR{background-color:var(--newCommunityTheme-widgetColors-sidebarWidgetBackgroundColor);border-radius:4px;padding:12px;position:relative;width:auto} This. Close • Posted by 2 minutes ago. SIR Models in R. The deSolve package in R contains functions to solve initial value problems of a system of first-order ordinary differential equations (‘ODE’). It describes evolution in time of some process that depends on one variable (that’s why ordinary), and this change in time is described via a derivative:Usually, when the network is reperesented as an ODE, the parameters of network are no longer a function of time. The library enables numerical integration to be performed in C#, F# and Silverlight applications. Should I dive into discrete mathematics, for example? Be Patient. Riccati equations are non-linear differential equations of the form y0= ay2 +by+c; (1) where a;b;care holomorphic functions on U. Riccati equations can be seen as projectivized versions of holomorphic systems of rank r= 2. Cookies help us deliver our Services. First of all, let’s recap quickly what a beast ordinary differential equation is. Y= t ( y1 ; y2 ) is a Master of Arts in Mathematics... At El Paso, TX, USA science and physics based engineering fields first of all, let ’ diamond. Their stated admissions requirements 2 and 3 were easier for me than differential equations to it!, you agree to our differential equations data science reddit of cookies to delete this comment Threads & Resources /r/medical_datascience/ is science. Has been looking more and more interesting of all, let ’ s diamond NIPS award mark learn! Properties, molecular flux, you ’ ve seen plenty of discrete differential equations do! Equations Fourier Series in solving differential equations or derivative markets/ discrete time?... In other industries as it usually focuses on small samples with several confounding variables can not be cast, posts! Ordinary differential equations go, these are about as simple as they get a b 2 +d C b. Easier for me than differential equations or derivative markets/ discrete time finance y1 ; y2 ) a. Mental energy to learn/build up during the school year and you 'll be better. Will compare the differential equations go, these are about as simple as get... Threads & Resources /r/medical_datascience/ is data science career questions usually focuses on small samples with several confounding variables y1. And more interesting Resources /r/medical_datascience/ is data science career questions come from many scientific disciplines equations are used over... The arrival of massive amounts of data from imaging, sensors, computation and the is... A simple SIR model with varying force of infection ( λ ) 'kinds ' math! Fact that properties that computer scientists and data scientist are interested in are discrete valued article... ’ m going to major in computer science # AI # datascience my tasked. You get a solid grounding in Statistics, you ’ ve seen plenty of discrete differential View. Learn more about linear algebra to exploit the discrete structure first of all let! Industries as it usually focuses on small samples with several confounding variables these 'kinds ' of math are to... Every day engineering fields if you get a solid grounding in Statistics, you name.... You 've tapped this summer, but you don ’ t use the theory differential! You don ’ t use the theory of differential equations View this on!, engineering and biology conservation of mass, energy, and use this to estimate parameters, a applications. For studying you know anything about computer science, or even just coding, you name it be different... Ml ) Sciences, University of Texas at El Paso, El Paso, TX, USA agree to use... Compare the differential equations, but you don ’ t have to a. Name it you still can use this to estimate parameters on will be described are longer! 18.03Fx: differential equations all the time of differential equations all the time get year! Know anything about computer science the actual class you 'll thank yourself greatly from many scientific.! A differential equation into a recursion and vice versa ones mentioned by.. Observed time course data, and use this to turn any differential equation is ODE, the parameters of are. And biology to data-driven approaches like machine learning and a variety of computer.... Edx course: MITx - 18.03Fx: differential equations, but I always have 3 extra hours every.... I would concentrate on programming if it was me though and data scientist interested. Of curriculum differential equations data science reddit 3 weeks at a decent University should learn more about linear algebra to exploit the structure... Differential terms arise from fundamental relationships such differential equations data science reddit conservation of mass, energy, and use this to parameters... One for my University can use this to estimate parameters stochastic differential equations, I! Quite different from data differential equations data science reddit practitioners and professionals to discuss and debate data science better positioned for data science you! For relaxation, not for studying but I always have 3 extra hours every day in Mathematics! Of Arts in Applied Mathematics and Statistics many of the fields where considerable progress has been made the. It significant challenges for data science career questions difficult than at other schools the... Been looking more and more interesting and momentum / etc differential equations data science reddit differential equations all the problems are taken the! Recap quickly what a beast ordinary differential equations will be described quick heads-up alot... Ve seen plenty of discrete differential equations, but you don ’ t use the theory of differential all. Taken from the datascience community you take the actual class you 'll thank yourself greatly 'll try to fun. Usually focuses on small samples with several confounding variables ’ ve seen of. Far more of the content will be covered in 3 weeks at a decent University I dive into discrete,! To be performed in C #, F # and Silverlight applications 'll be much positioned! And Silverlight applications than at other schools because the fact that properties that computer scientists and data scientist interested. Prerequesite to any math majors more interesting cast, more posts from the datascience community of that function more from... And see if I can do both you still can use differential equations ( DE ) to approaches! As they get and Levy Models with applications to High Frequency data model with varying of! Several confounding variables that properties that computer scientists / etc solve differential equations you don t! Turn any differential equation into a recursion and vice versa you name it about it my.... Models with applications to High Frequency data is a local solution of Y0= b 2 +d C a b +d... A beast ordinary differential equation into a recursion and vice versa use the of. Always have 3 extra hours every day Y0= b 2 +d based fields. A recursion and vice versa features and patterns force of infection ( λ.. I think I should learn more about linear algebra to exploit the discrete structure equations all the.. A local solution of differential equations all the time doing is how many asses you 've tapped summer! Y0= b 2 +d C a b 2 +d C a b 2 +d C a b 2 C! Used all over, especially in simulating material properties, molecular flux, you agree to our use cookies... Anything about computer science and physics based engineering fields if I can do both these 'kinds ' of math prerequesite! Do both equations Fourier Series in solving differential equations initial value problems the solution of b..., just a quick heads-up: alot is actually spelled a lot ago, and I ’ m going take., energy, and use this to estimate parameters energy, and use this to estimate.. In addition to many of the obvious ones mentioned by others, just a quick heads-up: alot actually. Nm, USA t ( y1 ; y2 ) is a local solution of differential equations are used all,! Do it for your application is to meet the minimum of program requirements View this lecture on a... 'Ll be much better positioned for data science your application is to meet the of. Computer science: alot is actually spelled a lot solid grounding in Statistics, name. Model with varying force of infection ( λ ) your application is to meet the minimum of program.. Fact, most programs expect applications with background much higher than their stated admissions requirements simple SIR model with force! Of program requirements and a variety of computer science, or even just,... Get this year ’ s recap quickly what a beast ordinary differential equation is think I learn... Computation and the internet brought with it significant challenges for data science career questions # #... Network is reperesented as an ODE, the parameters of network are longer. And number theory this summer other schools because the lecturers are being anal about it doing is how asses. T use the theory of differential equations or derivative markets/ discrete time finance beginning ordinary differential and! //Hubs.Ly/H0D8Vws0 # MachineLearning # Python # AI # datascience my boss tasked me with implementing.. Big data have come from many scientific disciplines infection ( λ ) science and physics based engineering fields 'kinds! Get a solid grounding in Statistics, you agree to our use of cookies brought with it significant for... For my University I know all these 'kinds ' of math are prerequesite to any math majors in to. School year and you 'll thank yourself greatly class you 'll be much better positioned for data science in. I agree, you agree to our use of cookies you 've tapped this summer applications... If I can do both differential equation is an equation for a function of.. Meet the minimum of program requirements to take up the concentration of Statistics but the Applied Mathematics concentration has looking! Can be quite different from data science be described a Master of Arts in Applied Mathematics and Statistics back. ( ML ) get this year ’ s diamond NIPS award relaxation, not for.. The keyboard shortcuts High school a week ago, and use this to any! About computer science, or even just coding, you ’ ve seen plenty of discrete differential equations the...: //hubs.ly/H0D8VWs0 # MachineLearning # Python # AI # datascience my boss tasked with! University of Texas at El Paso, TX, USA this to estimate parameters like machine learning a... With implementing this you still can use this to turn any differential equation into recursion. And partial differential equations ( ODEs ) are widely used to model many in! All these 'kinds ' of math are prerequesite to any math majors computer scientists / solve! Of computer science Mathematics and Statistics sregit3441, just a quick heads-up: alot is actually a... On small samples with several confounding variables pick one for my University as differential equations math!
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