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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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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.

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Kursus

Pemantauan Machine Learning dengan Python

LanjutanTingkat Keterampilan
4.8+
405 ulasan
3 jam
Kursus ini mencakup semua yang perlu Anda ketahui untuk membangun sistem pemantauan machine learning dasar menggunakan Python.

Kursus

Analisis Sentimen dengan Python

MenengahTingkat Keterampilan
4.8+
473 ulasan
4 jam
Apakah pelanggan Anda puas dengan produk Anda atau apakah layanan Anda kurang memadai? Pelajari cara melakukan tugas analisis sentimen end-to-end.

Kursus

Model ARIMA di Python

LanjutanTingkat Keterampilan
4.8+
431 ulasan
4 jam
Pelajari model ARIMA dalam Python dan jadilah ahli dalam analisis deret waktu.

Kursus

Pengantar Versioning Data dengan DVC

MenengahTingkat Keterampilan
4.7+
426 ulasan
3 jam
Jelajahi Pengendalian Versi Data untuk Pengelolaan Data ML. Atur pengaturan utama, otomatisasi alur kerja, dan evaluasi model dengan lancar.

Kursus

Unsupervised Learning di R

MenengahTingkat Keterampilan
4.7+
109 ulasan
4 jam
Kursus ini memberikan pengenalan tentang clustering dan pengurangan dimensi dalam R dari perspektif machine learning.

Kursus

Supervised Learning di R: Regresi

MenengahTingkat Keterampilan
4.6+
107 ulasan
4 jam
Dalam kursus ini, Anda akan belajar cara memprediksi peristiwa di masa depan menggunakan regresi linier, model aditif umum, hutan acak, dan xgboost.

Kursus

Analisis Klaster di R

MenengahTingkat Keterampilan
4.8+
77 ulasan
4 jam
Kembangkan intuisi kuat tentang cara kerja hierarchical dan k-means clustering, lalu pelajari cara menerapkannya untuk mengekstrak insight dari data Anda.

Kursus

Metode Ensemble di Python

LanjutanTingkat Keterampilan
4.8+
428 ulasan
4 jam
Pelajari cara membangun model machine learning yang canggih dan efektif menggunakan Python dengan teknik ensemble seperti bagging, boosting, dan stacking.

Kursus

Machine Learning dengan caret di R

MenengahTingkat Keterampilan
4.8+
46 ulasan
4 jam
Kursus ini mengajarkan konsep-konsep utama dalam machine learning, seperti cara membangun dan mengevaluasi model prediktif.

Kursus

Machine Learning untuk Pemasaran dengan Python

MenengahTingkat Keterampilan
4.8+
180 ulasan
4 jam
Dari nilai seumur hidup pelanggan, memprediksi churn hingga segmentasi - pelajari dan terapkan kasus penggunaan Machine Learning untuk Pemasaran dalam Python.

Kursus

Support Vector Machines di R

MenengahTingkat Keterampilan
4.8+
97 ulasan
4 jam
Kursus ini akan memperkenalkan mesin vektor pendukung (SVM) dengan pendekatan intuitif dan visual.

Kursus

MLOps untuk Bisnis

DasarTingkat Keterampilan
4.8+
161 ulasan
3 jam
Pelajari tentang MLOps, termasuk alat dan praktik yang diperlukan untuk mengotomatisasi dan menskalakan aplikasi machine learning.

Kursus

Machine Learning di Tidyverse

MenengahTingkat Keterampilan
4.8+
119 ulasan
5 jam
Manfaatkan paket tidyr dan purrr dalam tidyverse untuk menghasilkan, mengeksplorasi, dan mengevaluasi model pembelajaran mesin.

Kursus

Pemodelan dengan tidymodels di R

MenengahTingkat Keterampilan
4.8+
187 ulasan
4 jam
Pelajari cara mengoptimalkan alur kerja machine learning Anda dengan tidymodels.

Kursus

Rekayasa Fitur di R

MenengahTingkat Keterampilan
4.7+
157 ulasan
4 jam
Pelajari prinsip-prinsip feature engineering untuk model machine learning dan cara mengimplementasikannya menggunakan kerangka kerja R tidymodels.

Kursus

Deteksi Fraud di R

MenengahTingkat Keterampilan
4.7+
38 ulasan
4 jam
Pelajari cara mendeteksi penipuan dengan analisis data menggunakan R.

Kursus

Pengantar Natural Language Processing di R

MenengahTingkat Keterampilan
4.8+
40 ulasan
4 jam
Dapatkan gambaran menyeluruh tentang semua keterampilan dan alat yang diperlukan untuk menguasai Pemrosesan Bahasa Alami (Natural Language Processing) dalam 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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