Artificial Intelligence
How to Learn Claude: A Complete Guide From Beginner to Pro
Discover how to learn Claude. This guide takes you through a structured Claude learning path, from mastering the basics to using advanced features.
Matt Crabtree
Blog | AI and Data Science Articles
2名以上のトレーニングをお考えですか？DataCamp for Businessをお試しください
トレンド
Artificial Intelligence
The Top 11 ChatGPT Alternatives You Can Try in 2026
A practical guide to 11 ChatGPT alternatives in 2026, with use-case guidance for research, coding, productivity, and data science.
Javier Canales Luna
Matt Crabtree
Adel Nehme
Adel Nehme
Matt Crabtree
Elena Kosourova
Abid Ali Awan
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AI Agents
Claude Cowork Alternatives: 8 Agentic Tools Compared on Price, Cloud Execution, and Model Choice
Claude Cowork is locked to Claude models, and its run-in-the-cloud mode is still in limited beta. I compared 8 alternatives, from ChatGPT Work to self-hosted agents you run with your own API keys.
Tom Farnschläder
すべての投稿
キャリアサービス
2026年のDataCampは価値がある？料金、評判、結論
2026年のDataCampは本当に価値がある？掲載価格、認定、TrustpilotとG2のレビュー評価、チーム向けプラン、CourseraやUdemyが適する場面を確認します。
人工知能
Nano Banana 2.1：機能、価格、実機テスト
Google の Nano Banana 2.1 は画像出力の価格を引き下げ、編集・テキスト描画・インフォグラフィックを強化。ベンチマークと、Nano Banana 2 との比較テスト4本も掲載。
人工知能
Muse Wonder と Muse Wonder Full：Meta の最新 AI エージェント向けモデル
Muse Wonder Full は Meta の DeepSWE／SWE-Marathon 比較でリード。通常版 Wonder は 100 万トークンのコンテキストを API に 4/20（入出力）で提供。
ChatGPT
2026年版・ChatGPT講座完全ガイド
初心者、プロンプトエンジニアリング、カスタムGPT、職種別、OpenAI APIまで、評価と受講者数の検証済みデータで最適なChatGPT講座を比較。
人工知能
Claude Haiku 5.5 と GPT-6 Luna：ベンチマーク、料金、実測テスト
掲示価格は同じでも請求は違う：Haiku 5.5 はエージェント系ベンチマークで優位、GPT-6 Luna はテストで同精度を約半額で達成。
人工知能
Mistral Large 4（Le Chonk）：現時点でわかっていることのすべて
Mistral の1兆パラメータ・オープンウェイトモデルは、サイバーセキュリティと法務ベンチマークで首位級。
Vinod Chugani
人工知能
エンボディドAIとは何か？ロボットは2026年にどう「感じて・考えて・行動する」のか
エンボディドAIとは何か、LLMとの違い、知覚・推論・行動ループの仕組み、そしてデータサイエンティストにとってシム・トゥ・リアル学習が重要な理由を学びます。
クラウド
2026年版：クラウドコンピューティングを学べるオンラインプラットフォーム最優秀7選
無料のベンダーアカデミーから認定トラックまで、AWS・Azure・Google Cloudの学習プラットフォーム7つを、検証済み価格とともに比較し、選び方も紹介します。
人工知能
Claude Haiku 5.5：機能、料金、実機テスト
Anthropicの新しい小型モデルは、100万トークンあたり$0.10／$0.50で、エージェント的作業でSonnetとの差を大きく縮小。自社テストでは、Haiku 4.5の満点を同等に達成しつつ、コストはごく一部でした。