Lewati ke konten utama
Beranda

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.

Buat Akun Gratis Anda

Lanjutkan dengan GoogleTampilkan opsi lainnya

atau

Dengan melanjutkan, Anda menerima Ketentuan Penggunaan kami, Kebijakan Privasi kami dan bahwa data Anda disimpan di Amerika Serikat.
Group

Melatih 2 orang atau lebih?

Coba DataCamp for Business

Recommended for Machine Learning beginners

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

Kursus

Memahami Machine Learning

DasarTingkat Keterampilan
4.8+
11.630 ulasan
2 jam
Pengantar machine learning tanpa perlu coding.

Tidak yakin harus mulai darimana?

Ikuti Tes Penilaian

Cari Kursus dan Track Machine Learning

Kursus

Supervised Learning dengan scikit-learn

MenengahTingkat Keterampilan
4.8+
9.319 ulasan
4 jam
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!

Kursus

Unsupervised Learning in Python

MenengahTingkat Keterampilan
4.8+
1.183 ulasan
4 jam
Pelajari cara mengelompokkan, mentransformasi, memvisualisasikan, dan mengekstrak wawasan dari dataset tanpa label menggunakan scikit-learn dan scipy.

Kursus

Konsep MLOps

MenengahTingkat Keterampilan
4.8+
2.939 ulasan
2 jam
Temukan bagaimana MLOps dapat membawa model machine learning dari notebook lokal ke model yang berfungsi di produksi dan menghasilkan nilai bisnis nyata.

Kursus

Machine Learning untuk Bisnis

DasarTingkat Keterampilan
4.8+
1.849 ulasan
2 jam
Pahami dasar-dasar Machine Learning dan bagaimana penerapannya di dunia bisnis.

Kursus

Pengantar MLflow

LanjutanTingkat Keterampilan
4.7+
862 ulasan
4 jam
Learn how to use MLflow to simplify the complexities of building machine learning applications. Explore MLflow tracking, projects, models, and model registry.

Kursus

Klasifikator Linear di Python

MenengahTingkat Keterampilan
4.8+
350 ulasan
4 jam
Dalam kursus ini, Anda akan mempelajari detail tentang klasifikasi linier seperti regresi logistik dan SVM.

Kursus

Penyebaran dan Siklus Hidup MLOps

LanjutanTingkat Keterampilan
4.7+
996 ulasan
4 jam
Dalam kursus ini, Anda akan mempelajari kerangka kerja MLOps modern, termasuk siklus hidup dan deployment model machine learning.

Kursus

Pemrosesan Citra dengan Python

MenengahTingkat Keterampilan
4.8+
225 ulasan
4 jam
Pelajari cara memproses, mengubah, dan memanipulasi gambar sesuai keinginan Anda.

Kursus

Extreme Gradient Boosting dengan XGBoost

MenengahTingkat Keterampilan
4.8+
276 ulasan
4 jam
Pelajari dasar-dasar gradient boosting dan bangun model machine learning terkini menggunakan XGBoost untuk menyelesaikan masalah klasifikasi dan regresi.

Kursus

Analisis Klaster di Python

MenengahTingkat Keterampilan
4.8+
1.085 ulasan
4 jam
Dalam kursus ini, Anda akan diperkenalkan pada pembelajaran tak terawasi melalui teknik seperti hierarchical dan k-means clustering menggunakan pustaka SciPy.

Kursus

Machine Learning Ujung ke Ujung

MenengahTingkat Keterampilan
4.7+
386 ulasan
4 jam
Jelajahi dunia machine learning dan pelajari cara merancang, melatih, dan menerapkan model end-to-end.

Kursus

Validasi Model di Python

MenengahTingkat Keterampilan
4.8+
978 ulasan
4 jam
Pelajari dasar-dasar validasi model, teknik validasi, dan mulailah membuat model yang tervalidasi dan berkinerja tinggi.

Kursus

CI/CD untuk Machine Learning

LanjutanTingkat Keterampilan
4.7+
447 ulasan
5 jam
Tingkatkan pengembangan Machine Learning Anda dengan CI/CD menggunakan GitHub Actions dan Kontrol Versi Data.

Kursus

Pengurangan Dimensi dengan Python

MenengahTingkat Keterampilan
4.8+
951 ulasan
4 jam
Pahami konsep pengurangan dimensi pada data Anda, dan kuasai teknik-teknik untuk melakukannya dalam Python.

Kursus

Konsep Monitoring Machine Learning

MenengahTingkat Keterampilan
4.8+
550 ulasan
2 jam
Pelajari tantangan memantau machine learning models di produksi, seperti data dan concept drift, serta cara mengatasi model degradation.

Kursus

MLOps Otomatis Penuh

MenengahTingkat Keterampilan
4.8+
384 ulasan
4 jam
Pelajari arsitektur MLOps, teknik CI/CD/CM/CT, dan pola otomatisasi untuk mengimplementasikan sistem ML yang dapat memberikan nilai tambah secara berkelanjutan.

Kursus

Pemrosesan Bahasa Alami dengan spaCy

MenengahTingkat Keterampilan
4.7+
677 ulasan
4 jam
Kuasai operasi inti spaCy dan latih model untuk pemrosesan bahasa alami. Ekstrak informasi dari data tidak terstruktur dan cocokkan pola.

Kursus

Machine Learning dengan PySpark

LanjutanTingkat Keterampilan
4.8+
763 ulasan
4 jam
Pelajari cara membuat prediksi dari data dengan Apache Spark, menggunakan decision trees, logistic regression, linear regression, ensembles, dan pipelines.

Kursus

Rekayasa Fitur untuk NLP di Python

MenengahTingkat Keterampilan
4.8+
156 ulasan
4 jam
Pelajari teknik untuk mengekstrak informasi berguna dari teks dan memprosesnya ke dalam format yang sesuai untuk pembelajaran mesin.

Kursus

Penyetelan Hyperparameter di Python

MenengahTingkat Keterampilan
4.8+
879 ulasan
4 jam
Pelajari teknik-teknik untuk penyesuaian hiperparameter otomatis dalam Python, termasuk Grid, Random, dan Informed Search.

Kursus

Machine Learning untuk Keuangan dengan Python

MenengahTingkat Keterampilan
4.8+
233 ulasan
4 jam
Pelajari cara memodelkan dan memprediksi nilai data saham menggunakan model linear, pohon keputusan, random forest, dan jaringan saraf.

Kursus

Analisis Market Basket dengan Python

MenengahTingkat Keterampilan
4.8+
292 ulasan
4 jam
Jelajahi aturan asosiasi dalam analisis keranjang belanja menggunakan Python dengan data toko buku dan membuat rekomendasi film.

Kursus

Pendahuluan TensorFlow di Python

MenengahTingkat Keterampilan
4.8+
57 ulasan
4 jam
Pelajari dasar-dasar jaringan saraf tiruan dan cara membangun model pembelajaran mendalam menggunakan TensorFlow.

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.

    Teknologi dan topik lainnya

    teknologi

    topik

    Tingkatkan keterampilan data Anda dengan DataCamp for Mobile

    Terus maju di mana saja dengan kursus seluler kami dan tantangan coding 5 menit harian.

    Download on the App StoreGet it on Google Play