ML_Engineering
教育
免費 · App內購買
Become a machine learning engineer—starting exactly where you are.
ML_Engineering is a complete interactive learning environment for iPhone, iPad, and Mac. Begin with basic arithmetic, examples, features, labels, and your first prediction baseline. Progress through Python, NumPy, pandas, statistics, feature engineering, classical machine learning, deep learning, computer vision, NLP, forecasting, recommendations, model serving, MLOps, monitoring, responsible ML, distributed training, LLM systems, and principal-level ML architecture.
LEARN BY DOING
• 40 structured courses from beginner to advanced
• 400 substantive interactive lessons
• 140 editable, syntax-highlighted code labs
• 100 quizzes with validation and explanations
• 80 architecture decisions based on production trade-offs
• 80 guided concept exercises
• Progressive hints that help without giving away the answer
BUILD A SERIOUS ML PORTFOLIO
Complete 40 practical projects: 12 Beginner, 14 Intermediate, and 14 Advanced. Build baselines, classifiers, forecasts, recommenders, vision and language models, feature stores, inference services, experiment systems, model registries, drift monitors, ML delivery pipelines, distributed training, LLM evaluation, governance controls, and a principal ML platform design. Every project includes an editable workspace, four milestones, checks, and outcomes you can explain in an interview.
YOUR PRIVATE ML ENGINEERING TUTOR
Ask from any lesson or project. Tutor Core can begin with basic arithmetic, define every new term, explain how models learn, diagnose code and architecture, and continue until the idea clicks. Offline Core is included and never sends questions anywhere. Compatible devices can add private Apple on-device generation. API, Ollama, and LM Studio connections are always optional.
WATCH YOUR ML SYSTEM TAKE SHAPE
Every completed lesson, course, and milestone advances a living ML-system construction scene—from problem framing and a baseline through features, training, serving, monitoring, and production guardrails.
DESIGNED FOR SERIOUS PROGRESS
Earn XP, build streaks, bookmark material, track role readiness, choose daily goals, switch between light and dark interfaces, and move naturally among iPhone, iPad, and Mac.
FREEMIUM AND PRO
Explore the first module of every course for free, keep your learning progress, and upgrade only when you are ready. ML_Engineering Pro unlocks the complete curriculum, every lab and portfolio project, and contextual Tutor access across iPhone, iPad, and Mac.
Choose a monthly plan with a 14-day free introductory trial or an annual plan with a 7-day free introductory trial, when eligible. Prices are shown before purchase. Payment is charged to your Apple Account after confirmation. Subscriptions renew automatically unless cancelled at least 24 hours before the end of the current period. Restore purchases or manage your subscription directly from the app.
Terms of Use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/
Privacy Policy: https://github.com/lukekevinmclaughlin-oss/ML_Engineering/blob/main/PRIVACY.md
評分與評論
- 此 App 尚未收到足夠的評分或評論,無法顯示概覽。
• Added monthly and annual ML_Engineering Pro choices with accurate free-trial eligibility and App Store pricing.
• Added a clear freemium introduction with “Try Premium” and “Continue Free.”
• Improved verified entitlement refresh for expiration, cancellation, refund, and revocation changes.
• Added direct restore and subscription-management access.
• Added a respectful App Store review prompt after meaningful learning progress, with paywall spacing and a 120-day cooldown.
開發者Luke Mclaughlin指出App的隱私權實務可能包含下方描述的資料處理。如需更多資訊,請參閱 開發者的隱私權政策 。
不收集資料
開發者不會從這個 App 收集任何資料。
輔助使用
開發者尚未表示此 App 支援的輔助使用功能。 進一步瞭解
資訊
- 供應商
- Luke Mclaughlin
- 大小
- 5.2 MB
- 類別
- 教育
- 相容性
需要 iOS 17.0 或以上版本。
- iPhone
需要 iOS 17.0 或以上版本。 - iPad
需要 iPadOS 17.0 或以上版本。 - Mac
需要 macOS 14.0 或以上版本。 - Apple Vision
需要 visionOS 1.0 或以上版本。
- iPhone
- 語言
- 英文
- 年齡分級
4+
- 4+
- App內購買
是
- ML_Engineering Pro Annual $990.00
- ML_Engineering Pro $60.00
- 版權
- © 2026 Luke Mclaughlin
