Wolfram Mathematica Reviews and Ratings

Use Cases and Deployment Scope

<div>In our organization we use Wolfram Mathematica as a knowledge engine. The knowlegde is rudimentally used as associations and early or late rules. We enjoy the enornous versatility of the Mathematica libraries for mathematical problems. We focus on optimization, computing and representation of problems and solutions. Mathematica offers a high degree of coverage of Mathematics by the corpui of Wolfram Mathematica. The mCAX system does not offer everything but it opens the fields of Mathematics wide and often deep. As for partial differential equations we favour that there are benchmarks avialable already freely over the internet to compare Wolfram Mathematica powers to that of competitors or even harder sometimes to standardization library. State-of-the-art does not come from little efforts and single scientist nowadays and large scale cluster computing is still not all what makes up innovations. We use often the convolution powers of Mathematica because that is the Mathematics of the future from our standpoint.</div><div>

</div><div>Wolfram Mathematica provide a 5th generation language with many features agglomerated from the very best programmatic paradigms. The philosophy knowledge is what works is overcome by the eclectic means for selecting the best performing ones for the orientation of high efficiencies. Wolfram Mathematica provides a satisfying amount of educational and deep Math knowledge and numerical routines. We enjoy the covering features set for visualization. The sets of data analysis and as well graphical as geometrical calculations are convincing. We have great success with the interactivity features making all the knowledge clear and transparent for customers.

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Likelihood to Recommend

<div>We are the judgement that Wolfram Mathematica is despite many critics based on the paradigms selected a mark in the fields of the markets for computations of all kind. Wolfram Mathematica is even a choice in fields where other bolide systems reign most of the market. Wolfram Mathematica offers rich flexibility and internally standardizes the right methodologies for his user community. Wolfram Mathematica is not cheap and in need of a hard an long learner journey. That makes it weak in comparison with of-the-shelf-solution packages or even other programming languages. But for systematization of methods Wolfram Mathematica is far in front of almost all the other. Scientist and interested people are able to develop themself further and Wolfram Matheamatica users are a human variant for themself. The reach out for modern mathematics based science is deep and a unique unified framework makes the whole field of mathematics accessable comparable to the brain of Albert Einstein. The paradigms incorporated are the most efficients and consist in assembly on the market. The mathematics is covering and fullfills not just education requirements but the demands and needs of experts.</div><div>

</div><div>Mathematica is incompatible with other systems for mCAx and therefore the borders between the systems are hard to overcome. Wolfram Mathematica should be consider one of the more open systems because other code can be imported and run but on the export side it is rathe incompatible by design purposes. A better standard for all that might solve the crisis but there is none in sight. Selection of knowledge of what works will be in the future even more focussed and general system might be one the lossy side. Knowledge of esthetics of what will be in the highest demand in necessary and Wolfram is not a leader in this field of science. Mathematics leves from gathering problems from application fields and less from the glory of itself and the formalization of this.

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Use Cases and Deployment Scope

Wolfram Mathematica is being used by students and faculty at Virginia Tech. Engineering, Math, and Stat students use it occasionally. It mostly helps students solve some numerical problems very quickly and to get a hunch of the overall solution (if available).

Likelihood to Recommend

Wolfram Mathematica is excellent for closed-form solutions of integrals.

It has some room for improvement in numerical analysis.

Use Cases and Deployment Scope

We are using Wolfram Mathematica in our physics department. Many professors as well as graduate students are using it in their research work. As a graduate student, I am using it regularly in my research. It is very useful tool in physics and engineering research. Our physics department has been using Wolfram Mathematica for many years.

Likelihood to Recommend

Mathematica is very useful in calculus problem. It deals greatly with mathematical operations such as differentiation, integration, matrix multiplication and so on. Simple data analysis is very easy using Mathematica. Mathematica has great functions for plotting and charting the data.

It has some good features included in Machine Learning model. But there are many functions that can be included in Mathematica for better improvements. So, Machine Learning and Artificial Intelligence will be easier in Mathematica.

Use Cases and Deployment Scope

We use Mathematica for quantitative analysis of data, data visualization, pattern recognition and prediction.

Likelihood to Recommend

Overall data analytics and mathematical modelling, problem solving, data visualization. Analytic solution to algebraic and differential equations, validation of solutions, financial modelling, predictive analytics.

Use Cases and Deployment Scope

Mathematica is basically used by few of us who are doing some kind of work around machine learning and mathematics. Most of the time we have used this tool to solve some mathematical calculas differentiation problem, apart from that I have also used its API of speech and machine learning. And not everyone was using this, it is restricted to specific departments only.

Likelihood to Recommend

I think Mathematica is the best computational engine as of now. You can just ask a maths question and it will answer in great detail. It performs very well when you need to solve any kind of calculus problem of integration or operations over a matrix. And it is not very much well suited when you are doing some work in machine learning. I think for machine learning other tool will work better.

Use Cases and Deployment Scope

I use Mathematica as my "Swiss army knife" of analysis, design, and modeling of origami-related structures and mechanisms. It allows me to model origami problems at varying levels of idealization, ranging from simple 2-D polygonal models, to 3-D shapes with thickness, stress/strain relationships, and analytic descriptions of curved folding.

Likelihood to Recommend

It works very well for modeling origami.

Use Cases and Deployment Scope

Wolfram Mathematica is a desktop environment for building applications in the Wolfram Language. The Wolfram Language, in turn, is a functional programming utility for solving all sorts of complex problems in a wide variety of fields, from science to business and government.

Ours is a consultancy that uses tools like Mathematica to solve insanely hard problems for our clients, which are mostly large corporations with complex operations. Everyone at our small firm uses Mathematica in one way or another.

While Mathematica can quite literally do anything, the most common use case is as a means to build a mathematical model or representation of some complex system that one wishes to study using data. Along the way the model builder can use the vast array of internal functions (6500 or so at last count) to perform operations as diverse as image processing, statistics, and optimization. The real benefit of Mathematica is in its ability to allow model builders to generate such models very quickly with less code than other languages like Python or R.

Likelihood to Recommend

Well suited for:

<ul><li>A data science or analytics team performing analysis in support of a business problem</li><li>Building a sandbox for corporate analytical capability</li><li>Rapid prototyping of ideas for helpful applications of scientific/engineering/technical approaches</li><li>Building intelligent algorithms that underlie systems or web applications</li></ul>

Less appropriate for:

<ul><li>Full scale web application development</li><li>User interface development</li></ul>

Use Cases and Deployment Scope

Wolfram is used for analytics purpose and some time we use this for audio and image processing as well. And, I myself use this product for solving problems of mathematics which include calculus. This tool is very powerful for analysis and it generates very good looking plots. Solving mathematical problem using this is very interesting.

Likelihood to Recommend

If you are doing some kind of analysis and want most of the thing automated then I would suggest using this tool. Also, if you are developing any solution which includes solving big mathematical equations and need to do some image processing, then you should use this.

Use Cases and Deployment Scope

I have used Mathematica for doing heavy computation and for data visualisations. Basically, I have used this tool when I was in my college. It is being used by one department of our college who are doing some kind of research. We have used this to do the heavy operation around matrix and visualising the data. We are using this solve a research problem.

Likelihood to Recommend

It will be very well suited when you are developing anything around mathematics as it can solve almost everything mathematics from calculus to algebra. Also, visualising data with this tool is very easy and efficient. Now, it also provides the speech and image API, so you can also use this tool while doing something around speech and images like speech to text conversion or finding some information out of images etc.