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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

Kurs

Machine Learning'i Anlamak

TemelBeceri Seviyesi
2 saat
11.7K
Kodlama gerektirmeyen makine öğrenimine giriş.

Program

Makine Öğrenimi Temelleri Python'da

16 saat
6.7K
Makine Öğrenimi sanatını öğrenin ve tahmin, örüntü tanıma ve Derin ve Takviyeli Öğrenmenin başlangıcında bir patron olarak gelin.

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Machine Learning kurs ve programlarına göz atın

Kurs

scikit-learn ile Supervised Learning

Orta SeviyeBeceri Seviyesi
4 saat
19.4K
Grow your machine learning skills with scikit-learn in Python. Use real-world datasets in this interactive course and learn how to make powerful predictions!

Kurs

Python'da Unsupervised Learning

Orta SeviyeBeceri Seviyesi
4 saat
4.8K
Scikit-learn ve scipy kullanarak etiketlenmemiş veri kümelerini kümelemeyi, dönüştürmeyi, görselleştirmeyi ve bunlardan içgörüler elde etmeyi öğrenin.

Kurs

MLOps Kavramları

Orta SeviyeBeceri Seviyesi
2 saat
3.1K
MLOps ile makine öğrenmesi modellerini yerel not defterlerinden üretimde gerçek iş değeri yaratan işlevsel modellere dönüştürmeyi keşfedin.

Kurs

Python ile Görüntü İşleme

Orta SeviyeBeceri Seviyesi
4 saat
1.7K
Görüntüleri istediğiniz gibi işlemeyi, dönüştürmeyi ve değiştirmeyi öğrenin.

Kurs

Python ile Kümeleme Analizi

Orta SeviyeBeceri Seviyesi
4 saat
1.3K
Bu derste, SciPy kütüphanesini kullanarak hiyerarşik ve k-ortalamaları kümeleme gibi teknikler aracılığıyla denetimsiz öğrenme ile tanışacaksınız.

Kurs

MLflow’a Giriş

İleri SeviyeBeceri Seviyesi
4 saat
1.2K
Learn how to use MLflow to simplify the complexities of building machine learning applications. Explore MLflow tracking, projects, models, and model registry.

Kurs

XGBoost ile Aşırı Gradyan Artırma

Orta SeviyeBeceri Seviyesi
4 saat
1.2K
Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.

Kurs

Python ile Doğal Dil İşlemeye Giriş

Orta SeviyeBeceri Seviyesi
4 saat
1.1K
Learn fundamental natural language processing techniques using Python and how to apply them to extract insights from real-world text data.

Kurs

PySpark ile Machine Learning

İleri SeviyeBeceri Seviyesi
4 saat
957
Apache Spark ile karar ağaçları, lojistik regresyon, doğrusal regresyon, kümeler ve ardışık düzenler kullanarak verilerden tahminler yapmayı öğrenin.

Kurs

MLOps Dağıtımı ve Yaşam Döngüsü

İleri SeviyeBeceri Seviyesi
4 saat
943
Bu kursta, modern MLOps çerçevesini inceleyerek makine öğrenimi modellerinin yaşam döngüsünü ve dağıtımını keşfedeceksiniz.

Kurs

Python'da Model Doğrulama

Orta SeviyeBeceri Seviyesi
4 saat
935
Model doğrulamanın temellerini ve doğrulama tekniklerini öğrenin ve doğrulanmış, yüksek performanslı modeller oluşturmaya başlayın.

Kurs

Dimensionality Reduction in Python

Orta SeviyeBeceri Seviyesi
4 saat
899
Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.

Kurs

Uçtan Uca Machine Learning

Orta SeviyeBeceri Seviyesi
4 saat
890
Makine öğreniminin dünyasına dalın ve uçtan uca modellerin nasıl tasarlanacağını, eğitileceğini ve uygulanacağını keşfedin.

Kurs

Python'da Hiperparametre Ayarlama

Orta SeviyeBeceri Seviyesi
4 saat
800
Pythonda Grid, Random ve Informed Search dahil olmak üzere otomatik hiperparametre ayarlama tekniklerini öğrenin.

Kurs

CI/CD for Machine Learning

İleri SeviyeBeceri Seviyesi
5 saat
753
Elevate your Machine Learning Development with CI/CD using GitHub Actions and Data Version Control

Kurs

Machine Learning for Finance in Python

Orta SeviyeBeceri Seviyesi
4 saat
622
Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.

Kurs

Python ile TensorFlow’a Giriş

Orta SeviyeBeceri Seviyesi
4 saat
605
Sinir ağlarının temellerini ve TensorFlow kullanarak derin öğrenme modellerini nasıl oluşturacağınızı öğrenin.

Kurs

Supervised Learning in R: Regression

Orta SeviyeBeceri Seviyesi
4 saat
581
In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

Kurs

spaCy ile Natural Language Processing

Orta SeviyeBeceri Seviyesi
4 saat
569
SpaCynin temel işlemlerini öğrenin ve doğal dil işleme için modeller eğitin. Yapılandırılmamış verilerden bilgi çıkarın ve kalıpları eşleştirin.

Kurs

Market Basket Analysis in Python

Orta SeviyeBeceri Seviyesi
4 saat
543
Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.

Kurs

Python'da ARIMA Modelleri

İleri SeviyeBeceri Seviyesi
4 saat
533
Pythonda ARIMA modelleri hakkında bilgi edinin ve zaman serisi analizinde uzman olun.

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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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