『Machine Learning Basics: A Practical, No-Math-PhD Guide to Core Concepts, Real-World Examples, and Your First Working Models』のカバーアート

Machine Learning Basics: A Practical, No-Math-PhD Guide to Core Concepts, Real-World Examples, and Your First Working Models

デジタルボイスサンプル

聴き放題対象外タイトルです。Audibleプレミアムプラン登録で、非会員価格の30%OFFで購入できます。

¥980で会員登録とタイトル購入をする
オーディオブック・ポッドキャスト・オリジナル作品など数十万以上の対象作品が聴き放題。
オーディオブックをお得な会員価格で購入できます。
30日間の無料体験後は月額¥1500で自動更新します。いつでも退会できます。

Machine Learning Basics: A Practical, No-Math-PhD Guide to Core Concepts, Real-World Examples, and Your First Working Models

著者: Michael Carlsen
ナレーター: Virtual Voice
¥980で会員登録とタイトル購入をする

30日間の無料体験後は月額¥1500で自動更新します。いつでも退会できます。

¥1,400 で購入

¥1,400 で購入

Background images

この作品は、デジタルボイスによる朗読を使用しています。

デジタルボイスは、オーディオブック用にコンピューター生成された朗読です。

Master artificial intelligence and data science fundamentals without drowning in complex math or academic jargon. Perfect for your daily commute, this empowering guide transforms intimidating tech concepts into accessible, career-boosting skills. Whether you are pivoting roles or leading a technical team, you will quickly build a rock-solid intuition for modern algorithms.

Forget endless equations and embrace a hands-on, highly focused listening experience that demystifies how computers actually learn from data. By connecting everyday business problems to practical model building, you gain the confidence to ask better questions and collaborate effectively with technical teams.

What you'll discover inside:

• How to translate raw data into useful information using clear, everyday analogies.

• The essential differences between supervised and unsupervised learning techniques.

• Step-by-step walkthroughs of two realistic projects covering classification and regression.

• Plain-language explanations of critical concepts like overfitting and model generalization.

• Grounded frameworks for navigating AI ethics, data privacy, and algorithm fairness.

• Actionable roadmaps and next steps tailored to your unique professional background.

Do not let the AI revolution leave you behind in an increasingly data-driven world. Press play now to shatter your technical roadblocks and start building your very first working models today. Your future career is waiting to be upgraded.

©2026 Hidden Voices (P)2026 Hidden Voices
コンピュータサイエンス 機械理論・人工知能
adbl_web_anon_alc_button_suppression_t1
まだレビューはありません