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關於 artificial intelligence with python ，我們在網路上蒐集到這些相關的討論、資訊與評價

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在artificial intelligence with python這個產品中，有19篇Facebook貼文，粉絲數超過52萬的網紅เกมถูกบอกด้วย v.2，也在其Facebook貼文中提到， https://www.humblebundle.com/books/ultimate-python-bookshelf-packt-books?partner=ggcp แพ็คใหม่จาก Humble นะครัช ครั้งนี้คือ HUMBLE BOOK BUNDLE: THE UL...
　同時也有1部Youtube影片，追蹤數超過9,230的網紅田心蕾 LeiLei，也在其Youtube影片中提到，CS50這堂免費課程的link：https://www.edx.org/course/cs50s-introduction-to-artificial-intelligence-with-python 我的新歌link：https://www.soundscape.net/a/9718 ♥♥♥記得...

artificial intelligence with python 在 เกมถูกบอกด้วย v.2 Facebook 的最佳貼文

เกมถูกบอกด้วย v.2 By เกมถูกบอกด้วย v.2

2021-04-06 14:16:55 有 197 人按讚
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https://www.humblebundle.com/books/ultimate-python-bookshelf-packt-books?partner=ggcp
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ไม่มีอะไรยอดเยี่ยมเท่าการได้เล่นเกมดีในราคาไม่แพง
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artificial intelligence with python 在 โปรแกรมเมอร์ไทย Thai programmer Facebook 的精選貼文

โปรแกรมเมอร์ไทย Thai programmer By โปรแกรมเมอร์ไทย Thai programmer

2020-11-28 07:23:38 有 122 人按讚
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ยุคโควิด 19 ไม่ต้องหอบสังขารไปเมืองนอก
ก็มีโอกาสเข้าเรียนกับมหาวิทยาลัยระดับโลกได้
ต่อไปนี้เป็นรายชื่อคอร์สออนไลน์ Computer Science
จากมหาวิทยาลัยฮาร์วาร์ด
เรียนฟรี เสียแค่ค่าเน็ต ค่าไฟ ออกกันเองเนอะ
.

มีอยู่ หลายวิชาด้วยกัน ได้แก่
1) CS50's Introduction to Game Development
แนะนำการพัฒนาเกม 2D และ 3D
👉 https://online-learning.harvard.edu/course/cs50s-introduction-game-development?delta=0
.
2) CS50's Web Programming with Python and JavaScript
การเขียนเว็บด้วย Python , JavaScript, SQL และเฟรมเวิร์คอย่างPython, Flask, Django และ Bootstrap.
👉 https://online-learning.harvard.edu/course/cs50s-web-programming-python-and-javascript?delta=0
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3) CS50: Introduction to Computer Science
แนะนำ Computer Science และศาสตร์การเขียนโปรแกรม
👉 https://online-learning.harvard.edu/course/cs50-introduction-computer-science?delta=0
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4) CS50 for Lawyers
หลักสูตร Computer Science ที่ออกแบบมาให้กับนักศึกษาวิชากฏหมาย
👉 https://online-learning.harvard.edu/course/cs50-lawyers?delta=0
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5) CS50's Introduction to Artificial Intelligence with Python
แนะนำ AI เป็น machine learning ด้วยภาษา Python
👉 https://online-learning.harvard.edu/course/cs50s-introduction-artificial-intelligence-python?delta=0
.
6) Quantitative Methods for Biology
เรียนพื้นเขียนโปรแกรมและ data analysis ด้วย MATLAB เพื่อเอาไว้ประยุกต์ใช้ในสาขาชีววิทยาและการแพทย์
👉 https://online-learning.harvard.edu/course/quantitative-methods-biology?delta=1
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7) Data Science: Machine Learning
คอร์ส Data Science, Machine learning มีการสร้างระบบแนะนำภาพยนต์
👉 https://online-learning.harvard.edu/course/data-science-machine-learning?delta=2
.
8) Fundamentals of TinyML
พื้นฐาน TinyML เอาไว้ใช้งาน machine learning บน embedded systems
👉 https://online-learning.harvard.edu/course/fundamentals-tinyml?delta=0
.
9) The Future of ML is Tiny and Bright
คอร์เรียน TinyML ระดับมือโปรขึ้นมาหน่อย
👉 https://online-learning.harvard.edu/course/future-ml-tiny-and-bright?delta=0
.
10) Applications of TinyML
ตัวอย่างการประยุกต์ใช้ TinyML
👉 https://online-learning.harvard.edu/course/applications-tinyml?delta=0
.
11) Deploying TinyML
คอร์สสอนดีพลอย TinyML (TensorFlow Lite) ลงบนไมโครคอลโทรลเลอร์ microcontrollers
👉https://online-learning.harvard.edu/course/deploying-tinyml?delta=0
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ผู้เรียนจะเรียนออนไลน์ด้วยตัวเองเป็นภาษาอังกฤษ
ถือว่าฝึกภาษาแล้วกัน
ซึ่งจะเรียนผ่านแพลทฟอร์มของ edx อีกทีครับ
.
เวลาเรียนก็คลิกเลือก audit this course
ถ้าอยากได้ใบ cert ก็ต้องเสียเงินครับ
+++++++++++++++++++++++++
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ที่มา https://online-learning.harvard.edu/catalog
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ก่อนจากกันไปอยากจะแนะนำ
หนังสือ “โปรแกรมเมอร์ก็รวยได้ ด้วยเส้นทางเอาท์ซอร์สสายดำ”
เล่มนี้จะเล่าเรื่องราวของเอาท์ซอร์ส (Outsource) 🔥
ในสายงานซอฟต์แวร์เป็นหลัก
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ตอนนี้เหลือ 40 กว่าเล่ม
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youtube: https://youtu.be/Ljf9iJhLcIs
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✍ เขียนโดย โปรแกรมเมอร์ไทย thai programmer

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เพจนี้เปิดใช้งานเมื่อ 22 มิถุนายน 2014 เพจนี้เน้นหนักไป ทางการเขียนโปรแกรม คอมพิวเตอร์ และไอที ล้วน ๆ แบบฮาร์ดคอ หรือจะไร้สาระ มุกตลกขำ
ให้สาระด้านไอที คอมพิวเตอร์ และอาชีพโปรแกรมเมอร์ และสายงานด้านคอมพิวเตอร์
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artificial intelligence with python 在 Scholarship for Vietnamese students Facebook 的最讚貼文

Scholarship for Vietnamese students By Scholarship for Vietnamese students

2020-10-24 16:56:00 有 394 人按讚
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[Sharing]
HỌC DATA SCIENCE NHƯ THẾ NÀO?
#datascience

Helu mấy em, dạo này có rất nhiều bạn sinh viên hỏi chị về định hướng theo 1 ngành siêu hot là Data Science đấy! Vậy ngồi xuống đây đọc một bài viết hay về nghề Data Science nhé. Đây là ngành nghề được dự đoán sẽ có nhu cầu cao nhất trong tương lai đó. Bài viết này sẽ đưa ra các bước và nguồn cho các bạn muốn học Data Science đó, đọc xem và share cho các bạn còn loay hoay nha!
___________________________________
I. Học lập trình:
Một Data Scientist (DStist) không thể không biết lập trình, dù không cần thiết phải giỏi như một lập trình viên nhưng phải đủ khả năng viết được những chương trình cơ bản. Từ khi nhập học tới giờ, từ một đứa mà kiến thức lập trình là con số 0 tròn trình, mình đã học qua R, Java, Python, SQL (kì tới sẽ có cả NoSQL nữa). Học tới đâu là sử dụng luôn tới đấy nên thường mình phải tự học thêm rất nhiều để có thể hiểu được logic và cú pháp của ngôn ngữ lập trình đó. Ngôn ngữ quan trọng nhất, phổ biến nhất dành cho DStist là Python với thư viện khổng lồ. Xếp sau Python là R, rất mạnh về phân tích thống kê. Năm ngoái mình được Khoa Toán thuê viết một App (ShinyApp) tương tác dành cho một dự án nghiên cứu của Bang sử dụng ngôn ngữ này.

Vậy học lập trình ở đâu?
https://www.tutorialspoint.com/

Trang này thì gi gỉ gì gi cái gì cũng có, thích học gì có ngay cái đó. Còn nhớ năm ngoái mình cực kỳ đuối khi các thầy bắt học thêm Java, với lý do rằng DStist thường hay phải làm việc trực tiếp với lập trình viên, vậy thì phải học để có thể trò chuyện với nhau được. Mình đã phải đọc thêm sách, đi học thêm phụ đạo, rồi lại đọc mòn mỏi trên trang này để theo kịp các bạn trên lớp. Kết quả là cuối kì, mình tự viết được cả trò chơi và thậm chí còn lập trình được công thức toán thống kê cho thư viện Java đấy.

2. https://codingbat.com/
Đây là nơi mình luyện viết code, từ những ứng dụng đơn giản nhất chỉ vài ba dòng. Trình độ của mình đã lên rất nhanh sau khi hoàn thành phân nửa số bài tập trên này.

3. https://www.datacamp.com/
Mình chưa sử dụng trang này bao giờ, nhưng được quảng cáo khá nhiều. Trên này có các khóa học miễn phí R và Python thiết kế riêng cho DS. Thích hợp cho những ai mới bắt đầu.

4. https://www.udemy.com/.../development/programming-languages/

5. https://www.codecademy.com/catalog/subject/all

Đây là hai trang do bạn bè mình giới thiệu. Có mấy bạn không đi học phụ đạo Java được đã trả tiền theo học trên này. Vì thường xuyên có giảm giá sâu nên khóa học không quá đắt đỏ. Và điểm lợi thế là sẽ có chứng nhận cuối khóa, có thể củng cố thêm cho hồ sơ xin học hoặc xin việc của bạn.

II. Học thống kê:
Đã làm việc với dữ liệu là phải hiểu lý thuyết thống kê, chí ít cũng phải biết tới những khái niệm cơ bản như lấy mẫu (sampling), trung bình (mean), trung vị (median), độ lệch chuẩn (standard deviation), hồi quy tuyến tính (linear regression),... Nếu muốn trở thành DStist thì còn phải biết tới kiến thức thống kê nâng cao, liên quan tới machine learning. Một điều tuyệt vời là những cuốn sách thống kê hay ho nhất, tổng hợp nhất lại miễn phí, nhằm đáp ứng nhu cầu học tập về dữ liệu ngày càng cao. Hai cuốn sách mà tất cả các giáo sư Khoa Toán của mình đều sử dụng là:

The Elements of Statistical Learning (Trevor Hastie, Robert Tibshirani, Jerome H. Friedman, 2001)
Cuốn này hơn 700 trang, chia làm 18 chương, sử dụng R trong phân tích thống kê. Bản thân mình thấy sách quá hay, minh họa đầy đủ, giải thích kĩ càng, đọc tới đâu có thể copy code đến đấy để tự thử nghiệm. Dĩ nhiên bạn không cần phải đọc hết sách. Đụng tới khái niệm thống kê nào thì tra cứu tương ứng trong sách cũng được.
https://web.stanford.edu/~hastie/Papers/ESLII.pdf

2. An Introduction to Statistical Learning: With Applications in R ( Trevor Hastie, Robert Tibshirani, Daniela Witten, Gareth James, 2013)
Cuốn này cũng hay, hơn 400 trang, chia làm 10 chương, cũng dùng R. Ai ngại đọc cuốn trên thì có thể bắt đầu với cuốn này.

https://www-bcf.usc.edu/.../ISL/ISLR%20First%20Printing.pdf

III. Học Data Science - Nâng cao:
Sau khi có chút kiến thức cơ bản về lập trình và thống kê rồi thì bạn có thể sử dụng các trang sau để tìm hiểu thêm về các mảng chính của DS như artificial intelligence, computer vision, machine learning, Big Data Analytics, Business Intelligence...
https://towardsdatascience.com/

Đây là trang tổng hợp cực kì nhiều bài viết chất lượng từ các giáo sư và chuyên gia trong ngành. Có rất nhiều bài hướng dẫn chi tiết từng bước cho trình độ beginner. Mình thường đọc trên trang này về machine learning và artificial intelligence (AI). Không chỉ có những phân tích rất cặn kẽ về mặt lý thuyết, nhiều bài viết còn cung cấp ví dụ minh họa và đính kèm cả code để bạn đọc tự thử nghiệm. Ví dụ bài viết sau về Deep Learning là của một giáo sư ở Barcelona, toàn bộ Code có trong Notebook trên Google Colab. Vì chạy trên Cloud nên bạn không cần cài đặt gì mà có thể lập tức chạy chương trình ngay được, cực kì phù hợp cho những ai muốn xem qua trước và không muốn mất công cài đặt này nọ.
https://towardsdatascience.com/deep-learning-for...

2. https://www.datascienceweekly.org/
Một bạn người Na Uy trên Tandem giới thiệu cho mình về trang này, bảo rằng đang tự học machine learning ở đây. Thế là mình cũng đăng ký nhận Newsletter từ mấy hôm trước. Mỗi tuần, mình nhận được một email tổng hợp các bài viết nổi bật trong ngành. Như vậy để mình luôn nắm bắt được những xu hướng mới nhất và cập nhật những tiến bộ công nghệ mới.

3. https://www.kaggle.com/
Một đồng nghiệp người Ấn Độ chỉ cho mình trang này quá hay luôn. Đây là nơi bạn học hỏi bằng cách thực hành qua các dự án, các cuộc thi và thử thách quốc tế. Các công ty, tổ chức treo giải thưởng có khi lên tới cả 100,000$ cho đội nào chiến thắng. Chẳng hạn hiện giờ có 20 cuộc thi đấu song song, và đã có hàng ngàn đội đăng kí tham gia. Trên này cũng có các micro-courses hoàn toàn miễn phí từ Python cho tới Deep Learning dành cho beginner.
https://www.kaggle.com/learn/overview

4. https://www.coursera.org/browse/data-science
Và cuối cùng, dĩ nhiên là trên coursera cũng có khóa học miễn phí dành cho DS. Khi nào có thời gian, bạn thử đăng ký xem sao.

Trên đây là những hướng dẫn chung dành cho những ai muốn tìm hiểu về Data Science và học những kĩ năng cơ bản trước. Hi vọng giúp được các bạn đang quan tâm. Mình sẽ tiếp tục cập nhật thêm nhé.

Blog Mai Knows người chị thân thiết của Founder Hoa Dinh ở Đức
https://www.facebook.com/maiknowsnow/

Link tham khảo về lương của DStist:
https://www.burtchworks.com/.../2018-data-scientist.../

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artificial intelligence with python 在 田心蕾 LeiLei Youtube 的最讚貼文

田心蕾 LeiLei By 田心蕾 LeiLei

2020-04-25 17:00:06 有 1,425 人看過 有 42 人喜歡
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田心蕾 LeiLei

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田心蕾，熱愛音樂與創作的女孩，小時候有點自閉傾向的她，總顯得和這世界格格不入，但看見了眼前的鋼琴，才找到自己的存在。 「藝術是一種不同的自我呈現。而這種理念的傳達不受限，不管是畫，還是音樂。」 她相信，一個人的出現，呈現了他的過去，現在，與未來。 因此創造出的，代表著以前所學，現在體驗，與未來觀點。 每首創作，都像是代表了她，又來到了這個世界。
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artificial intelligence with python 在 AI with Python Tutorial - Tutorialspoint 的相關結果

AI with Python Tutorial, Artificial intelligence is the intelligence demonstrated by machines, in contrast to the intelligence displayed by humans. ... <看更多>

artificial intelligence with python 在 CS50's Introduction to Artificial Intelligence with Python 的相關結果

CS50's Introduction to Artificial Intelligence with Python explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into ... ... <看更多>

artificial intelligence with python 在 Python AI: How to Build a Neural Network & Make Predictions 的相關結果

If you're just starting out in the artificial intelligence (AI) world, then Python is a great language to learn since most of the tools are ... ... <看更多>

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