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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

コース

機械学習を理解する

基礎スキルレベル
4.8+
9,307件のレビュー
2 時間
コーディング不要で学ぶ機械学習入門。

トラック

機械学習の基礎 Pythonで

4.5+
6件のレビュー
16 時間
機械学習の技術を身につけ、予測、パターン認識、そして深層学習と強化学習の基礎に精通しましょう。

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Machine Learning のコースとトラックを閲覧

コース

spaCyで学ぶAdvanced NLP

中級スキルレベル
4.6+
20件のレビュー
5 時間
spaCyで、ルールベースと機械学習の両方を用いた高度な自然言語理解システムの構築方法を学びます。

コース

Rで学ぶSupport Vector Machines

中級スキルレベル
4.8+
79件のレビュー
4 時間
このコースでは、直感的で視覚的なアプローチで support vector machine(SVM)を導入します。

コース

Rによる次元削減

基礎スキルレベル
4.7+
91件のレビュー
4 時間
Rで次元削減を学び、あなたのデータとモデルに最適な特徴選択・特徴抽出を習得しましょう。

コース

Rで学ぶ自然言語処理入門

中級スキルレベル
4.8+
40件のレビュー
4 時間
Rでの自然言語処理に必須のスキルとツールを体系的に概観し、実務で活かす力を身につけます。

コース

Pythonで学ぶ中級予測分析

基礎スキルレベル
4.7+
72件のレビュー
4 時間
予測分析に向けて、データの前処理と整理方法を学びます。

コース

PythonでMachine Learningを使ってCTRを予測する

中級スキルレベル
4.8+
17件のレビュー
4 時間
広告のクリック率を予測し、Pythonで基本的な機械学習モデルを実装。より効果的な広告最適化の方法を理解しましょう。

Machine Learning の関連リソース

Artificial Intelligence Vector Image

ブログ

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 分

ブログ

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 分

ブログ

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 分


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.

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