When human beings learn something new, they typically do it by recognizing patterns through a combination of experience and education. Machines are able to learn too and apply that learning in a way that’s not so different from human decision-making.
Through what we call machine learning (ML), machines rely on a history of data patterns and experiences that inform algorithms and allow them to continually infer new patterns from data. To support the creation of new and exciting ML and artificial intelligence (AI) applications, developers need a robust programming language. That’s where the Python programming language comes in.
Python is one of the most commonly used programming languages that ML and AI developers use, and for good reason. Let’s take a quick look at why Python is the perfect choice when getting started in AI/ML development and some of its different applications for ML.
L'IA : opportunité ou menace ? Les DSI de la finance s'interrogent Alors que l'intelligence…
Sécurité des identités : un pilier essentiel pour la conformité au règlement DORA dans le…
La transformation numérique du secteur financier n'a pas que du bon : elle augmente aussi…
Telegram envisage de quitter la France : le chiffrement de bout en bout au cœur…
L'intelligence artificielle (IA) révolutionne le paysage de la cybersécurité, mais pas toujours dans le bon…
TISAX® et ISO 27001 sont toutes deux des normes dédiées à la sécurité de l’information. Bien qu’elles aient…
This website uses cookies.