Vai al contenuto principale
Home

Machine Learning courses

Machine learning courses cover algorithms and concepts for enabling computers to learn from data and make decisions without explicit programming. Build your skills in NLP, deep learning, MLOps and more.

Crea il tuo account gratuito

Continua con GoogleMostra più opzioni

o

Continuando, accetti i nostri Termini di utilizzo, la nostra Informativa sulla privacy e che i tuoi dati siano conservati negli Stati Uniti.
Group

Vuoi formare 2 o più persone?

Prova DataCamp for Business

Recommended for Machine Learning beginners

Build your Machine Learning skills with interactive courses, curated by real-world experts

Corso

Capire il Machine Learning

BasicLivello di competenza
4.8+
12.578 revisioni
2 h
Unintroduzione allapprendimento automatico senza bisogno di programmare.

Programma

Fondamenti di machine learning in Python

4.5+
9 revisioni
16 h
Impara l’arte del machine learning e diventa un asso nelle previsioni, nel riconoscimento dei pattern e nei fondamenti del deep learning e del reinforcement learning.

Non sai da dove cominciare?

Valuta le tue competenze

Sfoglia i corsi e programmi su Machine Learning

Corso

Feature Engineering per NLP in Python

IntermedioLivello di competenza
4.8+
163 revisioni
4 h
Impara i trucchi per prendere le informazioni utili da un testo e trasformarle in un formato che va bene per lapprendimento automatico.

Corso

Analisi del carrello in Python

IntermedioLivello di competenza
4.8+
317 revisioni
4 h
Scopri le regole di associazione nellanalisi del paniere di mercato con Python usando i dati di una libreria e creando consigli sui film.

Corso

Monitoraggio del Machine Learning in Python

AvanzatoLivello di competenza
4.8+
441 revisioni
3 h
Questo corso ti insegna tutto ciò che serve per creare un sistema base di monitoraggio del machine learning in Python

Corso

Introduzione al versionamento dei dati con DVC

IntermedioLivello di competenza
4.7+
468 revisioni
3 h
Scopri il controllo della versione dei dati per gestire i dati ML. Configura, automatizza i flussi di lavoro e valuta i modelli senza problemi.

Corso

Introduzione a TensorFlow in Python

IntermedioLivello di competenza
4.8+
58 revisioni
4 h
Impara le basi delle reti neurali e come creare modelli di deep learning usando TensorFlow.

Corso

Unsupervised Learning in R

IntermedioLivello di competenza
4.8+
112 revisioni
4 h
Questo corso ti dà unidea di base sul clustering e sulla riduzione della dimensionalità in R dal punto di vista dellapprendimento automatico.

Corso

Cluster Analysis in R

IntermedioLivello di competenza
4.8+
79 revisioni
4 h
Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

Corso

Metodi Ensemble in Python

AvanzatoLivello di competenza
4.8+
448 revisioni
4 h
Impara a creare modelli di machine learning avanzati ed efficaci in Python usando tecniche di ensemble come bagging, boosting e stacking.

Corso

Machine Learning con caret in R

IntermedioLivello di competenza
4.8+
47 revisioni
4 h
Questo corso spiega le idee principali del machine learning, tipo come creare e valutare modelli predittivi.

Corso

Machine Learning per il marketing con Python

IntermedioLivello di competenza
4.8+
191 revisioni
4 h
Applica il machine learning al marketing con Python: valore del cliente nel tempo, previsione dell’abbandono e segmentazione.

Corso

MLOps per il business

BasicLivello di competenza
4.8+
183 revisioni
3 h
Scopri cosa sono i MLOps, inclusi gli strumenti e le pratiche che servono per automatizzare e scalare le app di machine learning.

Corso

Modellazione con tidymodels in R

IntermedioLivello di competenza
4.8+
195 revisioni
4 h
Impara a semplificare i tuoi flussi di lavoro di machine learning con tidymodels.

Corso

Machine Learning nel tidyverse

IntermedioLivello di competenza
4.8+
125 revisioni
5 h
Usa i pacchetti tidyr e purrr di tidyverse per creare, esplorare e valutare modelli di machine learning.

Corso

Support Vector Machines in R

IntermedioLivello di competenza
4.8+
108 revisioni
4 h
Questo corso ti farà conoscere le macchine a vettori di supporto (SVM) in modo facile da capire, usando immagini e grafici.

Corso

Sentiment Analysis in R

IntermedioLivello di competenza
4.7+
112 revisioni
4 h
Impara lanalisi del sentiment identificando il linguaggio positivo e negativo, le intenzioni emotive specifiche e creando visualizzazioni accattivanti.

Corso

Feature Engineering in R

IntermedioLivello di competenza
4.7+
161 revisioni
4 h
Scopri i principi della feature engineering per i modelli di machine learning e come metterli in pratica usando il framework R tidymodels.

Risorse correlate su Machine Learning

blog

How to Become a Machine Learning Engineer in 2026

Learn how to become a machine learning engineer and discover why it is one of the most lucrative and dynamic career paths in the data world.
Kurtis Pykes 's photo

Kurtis Pykes

15 min

blog

33 Machine Learning Projects for All Levels in 2026

Machine learning projects for beginners, final year students, and professionals. The list consists of guided projects, tutorials, and example source code.
Abid Ali Awan's photo

Abid Ali Awan

15 min

blog

Top 12 Machine Learning Engineer Skills To Start Your Career

Master these skills to become a job-ready machine learning engineer in 2024.
Natassha Selvaraj's photo

Natassha Selvaraj

11 min

Ready to apply your skills?

Projects allow you to apply your knowledge to a wide range of datasets to solve real-world problems in your browser

    Frequently asked questions

    Is machine learning easy to learn?

    DataCamp's beginner machine learning courses are a lot of hands-on fun, and they provide an excellent foundation for machine learning to advance your career or business. Within weeks, you'll be able to create models and generate predictions and insights. You'll also learn foundational knowledge of Python and R and the fundamentals of artificial intelligence.

    After that, the learning curve gets a bit steeper. Machine learning careers require a deeper understanding of statistics, math, and software engineering, all of which can be mastered at DataCamp.

    What is machine learning used for?

    In a nutshell, machine learning is a type of artificial intelligence whose algorithms, as they acquire data, produce analytical models and make predictions with little to no human intervention.

    It's difficult to find an industry that doesn't use machine learning. For example, marketers use machine learning to forecast returns on investments in marketing campaigns. Likewise, purchasing departments use machine learning to predict needed inventory.

    Businesses of all kinds use machine learning to predict customer behavior, map supply chains, and forecast revenues. Machine learning is used to predict health outcomes and to improve patient satisfaction. Machine learning helps scientists model climate change scenarios, including possible solutions.

    More specifically, machine learning is used in smart devices, search engines, and streaming services (when Netflix suggests a show or movie based on your viewing history, that's machine learning).

    What jobs can you get with machine learning skills?

    Machine learning skills are valuable in programming, data science, and other computer engineering disciplines. In addition, machine learning is a must for anyone wanting to work in robotics!

    Not all jobs that require machine learning are in tech though. For example, linguists use machine learning to track ever-changing languages and dialects. In addition, business departments, such as marketing, accounting, logistics, and purchasing, to name a few, increasingly need machine learning experts to help them make informed business decisions. Knowing machine learning can give you a step up in nearly any position, as modeling and predicting are critical business needs.

    Are machine learning skills in demand?

    Yes, machine learning skills are in high demand. According to a report by the World Economic Forum, demand for AI and ML specialists is expected to grow by 40% between 2023 and 2027.

    How much math do I need to take a machine learning course?

    If you're looking to develop a high-level understanding of machine learning concepts, you don't need much math. If you want to dive deeper and make machine learning your career (as opposed to an added value to your existing career), a foundation in statistics and algebra is helpful. If you don't have a mathematical background, that's okay. We'll teach you everything you need, and our instructors are a lot less scary than your high school calculus teacher.

    Do I need to download machine learning software to learn on DataCamp?

    You do not need to download anything while learning with DataCamp. All the tools we use are web-based.

    Altre tecnologie e argomenti

    tecnologie

    topic

    Sviluppa le tue competenze sui dati con DataCamp for Mobile

    Fai progressi ovunque tu sia con i nostri corsi mobile e le sfide di programmazione quotidiane da 5 minuti.

    Download on the App StoreGet it on Google Play