Ana içeriğe atla
Giriş

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.

Ücretsiz Hesabınızı Oluşturun

veya

Devam ederek Kullanım Şartlarımızı, Gizlilik Politikamızı ve verilerinizin ABD’de saklandığını kabul etmiş olursunuz.
Group

2 veya daha fazla kişiyi mi eğitiyorsunuz?

DataCamp for Business ürününü deneyin

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
11.8K
Kodlama gerektirmeyen makine öğrenimine giriş.

Program

Makine Öğrenimi Temelleri Python'da

16 saat
6.8K
Makine Öğrenimi sanatını öğrenin ve tahmin, örüntü tanıma ve Derin ve Takviyeli Öğrenmenin başlangıcında bir patron olarak gelin.

Nereden başlayacağınızdan emin değil misiniz?

Bir Değerlendirme Yapın

Machine Learning kurs ve programlarına göz atın

Kurs

Python ile NLP için Özellik Mühendisliği

İleri SeviyeBeceri Seviyesi
4 saat
528
Metinden yararlı bilgileri çıkarmak ve bunları makine öğrenimi için uygun bir biçime dönüştürmek için teknikler öğrenin.

Kurs

Sentiment Analysis in Python

Orta SeviyeBeceri Seviyesi
4 saat
512
Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.

Kurs

R ile Denetimsiz Öğrenme

Orta SeviyeBeceri Seviyesi
4 saat
468
Bu ders, makine öğrenimi perspektifinden Rda kümeleme ve boyut indirgemesine giriş sağlar.

Kurs

Ensemble Methods in Python

İleri SeviyeBeceri Seviyesi
4 saat
450
Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.

Kurs

Building Chatbots in Python

Orta SeviyeBeceri Seviyesi
4 saat
425
Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.

Kurs

Monitoring Machine Learning Concepts

Orta SeviyeBeceri Seviyesi
2 saat
412
Learn about the challenges of monitoring machine learning models in production, including data and concept drift, and methods to address model degradation.

Kurs

Cluster Analysis in R

Orta SeviyeBeceri Seviyesi
4 saat
391
Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

Kurs

R ile caret kullanarak Machine Learning

Orta SeviyeBeceri Seviyesi
4 saat
370
Bu ders, tahmin modellerinin nasıl oluşturulacağı ve değerlendirileceği gibi makine öğrenimindeki temel kavramları öğretir.

Kurs

Fully Automated MLOps

Orta SeviyeBeceri Seviyesi
4 saat
355
Learn about MLOps architecture, CI/CD/CM/CT techniques, and automation patterns to deploy ML systems that can deliver value over time.

Kurs

Python ile Machine Learning İzleme

İleri SeviyeBeceri Seviyesi
3 saat
343
Bu kurs, Pythonda temel bir makine öğrenimi izleme sistemi oluşturmak için bilmeniz gereken her şeyi kapsar.

Kurs

DVC ile Veri Sürümlendirmeye Giriş

Orta SeviyeBeceri Seviyesi
3 saat
330
ML veri yönetimi için Veri Sürüm Kontrolünü keşfedin. Ana kurulum, otomatikleştirilmiş iş akışları ve modellerin sorunsuz bir şekilde değerlendirilmesi.

Kurs

İş Dünyası için MLOps

TemelBeceri Seviyesi
3 saat
238
Makine öğrenimi uygulamalarını otomatikleştirmek ve ölçeklendirmek için gerekli araçlar ve uygulamalar dahil olmak üzere MLOps hakkında bilgi edinin.

Kurs

Python ile Pazarlama için Machine Learning

Orta SeviyeBeceri Seviyesi
4 saat
236
From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.

Kurs

Tidyverse ile Machine Learning

Orta SeviyeBeceri Seviyesi
5 saat
187
Tidyversedeki tidyr ve purrr paketlerini kullanarak makine öğrenimi modellerini oluşturun, keşfedin ve değerlendirin.

Kurs

R ile Doğal Dil İşlemeye Giriş

Orta SeviyeBeceri Seviyesi
4 saat
157
Rde Doğal Dil İşleme alanında başarılı olmak için gerekli tüm beceri ve araçlara genel bir bakış edinin.

Kurs

spaCy ile İleri Düzey NLP

Orta SeviyeBeceri Seviyesi
5 saat
146
Kural tabanlı ve makine öğrenimi yaklaşımlarını kullanarak spaCy ile gelişmiş doğal dil anlama sistemleri oluşturmayı öğrenin.

Kurs

R'da Feature Engineering

Orta SeviyeBeceri Seviyesi
4 saat
141
Makine öğrenimi modelleri için özellik mühendisliğinin ilkelerini ve bunları R tidymodels çerçevesini kullanarak nasıl uygulayacağınızı öğrenin.

Kurs

R ile Support Vector Machines

Orta SeviyeBeceri Seviyesi
4 saat
139
Bu ders, sezgisel ve görsel bir yaklaşım kullanarak destek vektör makinesini (SVM) tanıtacaktır.

Machine Learning ile ilgili kaynaklar

Artificial Intelligence Vector Image

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 dk.

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 dk.

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 dk.


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.

Diğer teknolojiler ve konular

teknoloji