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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.

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Recommended for Machine Learning beginners

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

Cursus

Inzicht in Machine Learning

BasisVaardigheidsniveau
4.8+
11.630 reviews
2 u
Een introductie tot machine learning zonder coderen.

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Bekijk Machine Learning cursussen en leerpaden

Cursus

Monitoring Machine Learning in Python

GevorderdVaardigheidsniveau
4.8+
405 reviews
3 u
Deze cursus behandelt alles wat je moet weten om een eenvoudig monitoringsysteem voor machine learning te bouwen in Python.

Cursus

Sentimentanalyse in Python

GemiddeldVaardigheidsniveau
4.8+
473 reviews
4 u
Zijn klanten enthousiast over je producten of laat je service te wensen over? Leer hoe je een volledige sentimentanalyse kunt uitvoeren.

Cursus

ARIMA-modellen in Python

GevorderdVaardigheidsniveau
4.8+
431 reviews
4 u
Leer meer over ARIMA-modellen in Python en word een expert in tijdreeksanalyse.

Cursus

Introductie tot dataversiebeheer met DVC

GemiddeldVaardigheidsniveau
4.7+
426 reviews
3 u
Check eens Data Version Control voor het beheren van ML-data. Zet je setup op, automatiseer je processen en evalueer je modellen zonder gedoe.

Cursus

Unsupervised learning in R

GemiddeldVaardigheidsniveau
4.7+
109 reviews
4 u
Deze cursus geeft je een inleiding tot clustering en dimensiereductie in R vanuit het perspectief van machine learning.

Cursus

Supervised Learning in R: Regressie

GemiddeldVaardigheidsniveau
4.6+
107 reviews
4 u
In deze cursus leer je toekomstige gebeurtenissen voorspellen met lineaire regressie, gegeneraliseerde additieve modellen, random forests en xgboost.

Cursus

Clusteranalyse in R

GemiddeldVaardigheidsniveau
4.8+
77 reviews
4 u
Leer snel hoe hiërarchische en k-means clustering werken en pas ze toe om inzichten uit je data te halen.

Cursus

Ensemblemethoden in Python

GevorderdVaardigheidsniveau
4.8+
428 reviews
4 u
Leer hoe je geavanceerde en effectieve machine learning-modellen kunt bouwen in Python met behulp van ensemble-technieken zoals bagging, boosting en stacking.

Cursus

Machine Learning met caret in R

GemiddeldVaardigheidsniveau
4.8+
46 reviews
4 u
Deze cursus laat je kennismaken met de grote ideeën achter machine learning, zoals hoe je voorspellende modellen kunt maken en beoordelen.

Cursus

Machine Learning voor marketing in Python

GemiddeldVaardigheidsniveau
4.8+
180 reviews
4 u
Van klantwaarde tot het voorspellen van klantverloop en segmentatie: leer en pas Machine Learning-toepassingen voor marketing toe in Python.

Cursus

Support Vector Machines in R

GemiddeldVaardigheidsniveau
4.8+
97 reviews
4 u
Deze cursus laat je op een makkelijke, visuele manier kennismaken met de support vector machine (SVM).

Cursus

Aanbevelingssystemen bouwen met PySpark

GevorderdVaardigheidsniveau
4.8+
250 reviews
4 u
Leer tools en technieken om je eigen big data te benutten en positieve ervaringen voor je gebruikers te faciliteren.

Cursus

MLOps voor bedrijven

BasisVaardigheidsniveau
4.8+
161 reviews
3 u
Kom meer te weten over MLOps, inclusief de tools en methodes die je nodig hebt om machine learning-toepassingen te automatiseren en op te schalen.

Cursus

Machine Learning in de tidyverse

GemiddeldVaardigheidsniveau
4.8+
119 reviews
5 u
Gebruik de pakketten tidyr en purrr in de tidyverse om machine learning-modellen te maken, te bekijken en te beoordelen.

Cursus

Feature engineering in R

GemiddeldVaardigheidsniveau
4.7+
157 reviews
4 u
Leer de basisprincipes van feature engineering voor machine learning-modellen en hoe je die kunt toepassen met het R tidymodels-framework.

Cursus

Fraudedetectie in R

GemiddeldVaardigheidsniveau
4.7+
38 reviews
4 u
Leer fraude opsporen met analytics in R.

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    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.

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