Let’s keep thinking computationally! Whether you’re stuck in traffic or planning a project, apply this mindset. Problem-solving knows no bounds! 💡🌟 #ComputationalMindset

Ever wondered what lies at the heart of innovative problem-solving in tech? Discover the power and potential of Computational Thinking in my latest Medium story. #TechInnovation #ComputationalMindset ➡️ medium.com/better-program…

Parametric curve on plane fitting with TensorFlow The topic of this post is the fitting of a parametric curve on a Cartesian reference system Oxy. Click here for more: buff.ly/3eVwBnJ #neuralnetworks #deeplearning #artificialintelligence #ai #computationalmindset

Common tools for function fitting This post describes the use of a set of common tools written in Python to generate and display synthetic datasets. Click here for more: buff.ly/3JAQRsC #machinelearning #deeplearning #artificialintelligence #ai #computationalmindset

Fitting functions with PyCaret This post deals with the approximation of real mathematical functions to one or more real variables. Click here for more: buff.ly/34PBdKG #machinelearning #deeplearning #artificialintelligence #ai #computationalmindset

The post shows how to solve a particular type of delay differential equation with initial values be given using the Lambert W function. Click here for more: buff.ly/3D3X9wC #mathematics #deeplearning #artificialintelligence #ai #computationalmindset

This post shows how to use SymPy to analytically solve ordinary differential equations (abbreviated ODE) in Python. Click here for more: buff.ly/3smfFNu #mathematics #deeplearning #artificialintelligence #ai #computationalmindset

Analyzer of a nonlinear autonomous dynamical system on the plane by Hartman-Grobman theorem. Read the full article here: buff.ly/338OrRO #mathematics #deeplearning #artificialintelligence #ai #computationalmindset

This post deals with the approximation of real mathematical scalar functions to one or more real variables using a PyCaret without writing code. Click here for more: buff.ly/3GGRaAV #machinelearning #deeplearning #artificialintelligence #ai #computationalmindset

Latest updates and new content available on Github: github.com/ettoremessina #github #machinelearning #artificialintelligence #ai #computationalmindset

This post presents some examples of using common Python libraries to approximate periodic functions by Fourier series. Click here for more: buff.ly/3sn2Gel #fourier #series #fourierseries #artificialintelligence #ai #computationalmindset

‘Time Series' dataset collection Collection of synthetic datasets generated by applying functions to the values of a sequence representing time. Click here for more: buff.ly/3pZWCs8 #artificialintelligence #ai #computationalmindset

Functions dataset collection Collection of synthetic datasets generated applying continuous and limitated functions to a closed subset of its own domain. Click here for more: buff.ly/3f3desA #artificialintelligence #ai #computationalmindset

Parametric curve in space fitting with PyTorch This post is part of a series of posts on the fitting of mathematical objects through a MLP neural network. Click here for more: buff.ly/32WuUnx #neuralnetworks #deeplearning #artificialintelligence #computationalmindset

Parametric curve on plane fitting with TensorFlow The topic of this post is the fitting of a parametric curve on a Cartesian reference system Oxy. Click here for more: buff.ly/3eVwBnJ #neuralnetworks #deeplearning #artificialintelligence #ai #computationalmindset

This post is part of a series of posts on the fitting of mathematical objects (functions, curves and surfaces) through a MLP (Multi-Layer Perceptron). Click here for more: buff.ly/33bjoVa #neuralnetworks #deeplearning #artificialintelligence #ai #computationalmindset

Common tools for function fitting This post describes the use of a set of common tools written in Python to generate and display synthetic datasets. Click here for more: buff.ly/3JAQRsC #machinelearning #deeplearning #artificialintelligence #ai #computationalmindset

Fitting functions with PyCaret This post deals with the approximation of real mathematical functions to one or more real variables. Click here for more: buff.ly/34PBdKG #machinelearning #deeplearning #artificialintelligence #ai #computationalmindset

Common tools for function fitting This post describes the use of a set of common tools written in Python to generate and display synthetic datasets. Click here for more: buff.ly/3JAQRsC #machinelearning #deeplearning #artificialintelligence #ai #computationalmindset

The post shows how to solve a particular type of delay differential equation with initial values be given using the Lambert W function. Click here for more: buff.ly/3D3X9wC #mathematics #deeplearning #artificialintelligence #ai #computationalmindset