[Đánh giá] Feature Engineering for Machine Learning (Alice Zheng) Tóm tắt.

Feature Engineering for Machine Learning (Alice Zheng) - Amazon USA Store: https://www.amazon.com/dp/1491953241?tag=9natree-20 - Amazon Worldwide Store: https://global.buys.trade/Feature-Engineering-for-Machine-Learning-Alice-Zheng.html - Apple Books: https://books.apple.com/us/audiobook/designing-machine-learning-systems-an-iterative/id1795798192?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree - eBay: https://www.ebay.com/sch/i.html?_nkw=Feature+Engineering+for+Machine+Learning+Alice+Zheng+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1 - Shopee: https://asia.buys.trade/shopee_Feature-Engineering-for-Machine-Learning-Alice-Zheng.html - Lazada: https://asia.buys.trade/lazada_Feature-Engineering-for-Machine-Learning-Alice-Zheng.html - Tiktok: https://asia.buys.trade/tiktok_Feature-Engineering-for-Machine-Learning-Alice-Zheng.html - Đọc thêm: https://vietnam.9natree.com/read/1491953241/ #Biếnđổilogvàlũythừa #Bagofwordsvàngram #Mãhóabiếnphânloại #Principalcomponentanalysis #Kmeansfeaturization #FeatureEngineeringforMachineLearning Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists là cuốn sách kỹ thuật của Alice Zheng và Amanda Casari, xuất bản bởi O'Reilly, tập trung vào bước biến dữ liệu thô thành các đầu vào mà mô hình máy học có thể sử dụng hiệu quả. Thay vì dành phần lớn dung lượng để giải thích thuật toán dự đoán, sách đặt trọng tâm vào công việc thường quyết định chất lượng thực tế của một dự án, gồm làm sạch, biểu diễn, biến đổi và chọn lọc đặc trưng. Nội dung mang tính thực hành, sử dụng Python cùng những thư viện quen thuộc như NumPy, Pandas, Scikit-learn và Matplotlib. Các chương được tổ chức quanh những dạng dữ liệu và vấn đề cụ thể, từ số, văn bản, biến phân loại, ảnh, đến dữ liệu có cấu trúc. Mục đích của sách không phải đưa ra một công thức áp dụng cho mọi bộ dữ liệu. Nó giúp người đọc hiểu vì sao từng cách biểu diễn lại phù hợp, hoặc không phù hợp, với cấu trúc dữ liệu, mục tiêu dự báo và loại mô hình đang dùng.

Episode metadata supplied by the publisher feed · Published Aug 15, 2026

Embed this episode

Attribution link and audio player

NOW PLAYING

[Đánh giá] Feature Engineering for Machine Learning (Alice Zheng) Tóm tắt.

0:00 9:10

1×

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

Share this episode

Similar Episodes

No similar episodes found.

Similar Podcasts

BRAVE Southeast Asia Tech: Singapore, Indonesia, Vietnam, Philippines, Thailand & Malaysia Startups, Founders & Venture Capital VC (English) Jeremy Au Learn from Southeast Asia's best tech leaders. Build the future, learn from our past & stay human in between. No B.S on success. Southeast Asia's #1 startup & venture capital podcast with 80,000+ listeners.Hosted by Jeremy Au. VC & serial founder. Harvard MBA & UC Berkeley. Sci-fi nerd & dad of two daughters. Growth and personal growth solves all problems. The best feeling is coaching good humans to be great leaders. Published on Monday & Thursday. Weekly tech news debates, changemaker interviews & listener Q&As.Community of listeners and guests across Singapore, Indonesia, Vietnam, Thailand, Malaysia & the Philippines. Global top 10% podcast."Learned a lot from the journeys. Must-listen for anyone seeking advice to be a leader" @lindatangxy"Refreshing to hear from distinguished founders what they learned, both the good & bad" @seanojw"Incredibly useful in kickstarting my thought process around customers as an entrepre Veterans Corner Radio Joe Muhlberger Veterans Corner Radio focuses on what those who have served in the military, and their families need to know to maximize the services and benefits due to them. No matter if you are currently serving or got out 50 years ago, this program will give you answers to questions you didn’t even know you should be asking. Among those who have been and will be sharing their knowledge are those from the Department of Defense (DOD), Veterans Health Administration, Veterans Benefits Administration, National Cemetery Administration, members of Congress (both House and Senate), Federal Bureau of Investigation (FBI), American Association of Retired Persons (AARP), American Legion, Military Officers Association of America (MOAA), Military Order of World Wars (MOWW), Veterans of Foreign Wars (VFW), Vietnam Veterans of America, Disabled American Veterans (DAV), just to name a few.You will learn, among many other things, how to use the VA claim process, the services offered by the James A Haley VA Hosp Simple English Listening Tristan Palumbo Cambridge-certified teacher of 12 years. I'm Tristan, telling stories & true events in B1–B2 English. Traveler and artist. 📱 My Speaking app → https://coffeechatenglish.com 10–15 min/day · $8/month · cancel anytime- Read stories & speak about them with AI———🧚 Free Stories & Transcripts → https://simpleenglishbooks.com All episodes are written and recorded in my own real human voice — no AI narration.🧙‍♂️ Tristan Palumbo is a British teacher. He's helped thousands of adults in Vietnam, Japan, Korea, Italy and the UK. He uses “comprehensible input” — interesting stories in clear, easy English — to help you learn naturally. You Don't Know Vietnam Ian Paynton - We Create Content Forget what you thought you knew about Vietnam. It's no longer that, as you're about to find out. Hit subscribe for conversations about trends, culture and business from one of the world's fastest growing markets: Vietnam. Hosted by Ian Paynton, co-founder of We Create Content, a content agency that builds audiences for global brands in Vietnam.

Frequently Asked Questions

How long is this episode of 9Natree Vietnam?

This episode is 9 minutes long.

When was this 9Natree Vietnam episode published?

This episode was published on August 15, 2026.

Can I download this 9Natree Vietnam episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.

URL copied to clipboard!