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在overview computer science這個產品中，有15篇Facebook貼文，粉絲數超過2,659的網紅Untyped 對啊我是工程師，也在其Facebook貼文中提到， 冷知識大賽 Hello World 是在哈囉? 有沒有人納悶過為什麼凱心琳我每次開場都要講 "Hello World" 呢？ "Hello World"的由來是什麼？為什麼程式語言 C 要叫 C? 為什麼 C++ 要叫做 C++? JavaScript 跟 Java 之間的關係？電腦程式語言有多...
　同時也有24部Youtube影片，追蹤數超過2萬的網紅Untyped 對啊我是工程師，也在其Youtube影片中提到，👇👇👇【凱心琳粉絲Himalaya專屬優惠】（提供30天免費試用！）👇👇👇 https://www.himalaya.com/mPmC6 （此連結已有我的優惠不用再輸入優惠碼！） 2. 點擊「領取30天免費暢聽」 3. 登入 or 注冊後右邊就會出現「優惠碼untyped已兌換 」 ★ 如果...

overview computer science 在 Untyped 對啊我是工程師 Facebook 的最佳解答

Untyped 對啊我是工程師 By Untyped 對啊我是工程師

2020-12-11 00:05:30 有 25 人按讚
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冷知識大賽 Hello World 是在哈囉?

有沒有人納悶過為什麼凱心琳我每次開場都要講 "Hello World" 呢？
"Hello World"的由來是什麼？為什麼程式語言 C 要叫 C? 為什麼 C++ 要叫做 C++? JavaScript 跟 Java 之間的關係？電腦程式語言有多少種？電腦為什麼要有桌面？滑鼠游標為什麼是斜的？還有好多好多疑問！電腦科學軟體工程的世界中真的有很多奇怪的事，讓我們一起和軟體工程師 Tim (Richard?) & Kid大探究竟吧！

其實想做這一集已經很久了，題目也老早就準備好了～只是願意參與的工程師真的不多呀😂 感謝Tim跟Kid的用心參與！！

📢 📣 📢 本頻道影片內容有輸出成 podcast 📢 📣 📢
雖然這一集用 podcast 聽可能有點混亂，但還是有輸出成音檔唷！
可以在各大podcast平台搜尋「Untyped 對啊我是工程師」
請大家多多支持呀！！🙏🏻💁🏻‍♀️

這集會聊到...

Overview 💬
🔹 "Hello World"的由來是什麼？
🔹 為什麼程式語言 C 要叫 C?
🔹 為什麼 C++ 要叫做 C++? C#?
🔹 JavaScript 跟 Java 的關係是什麼？
🔹 printf 的 f 是什麼意思?
🔹 電腦程式語言有多少種？
🔹 電腦為什麼要有桌面？
🔹 工程師口中都是什麼蟲 bug? ?
🔹 滑鼠游標為什麼是斜的？
🔹 第一台電腦的名字？
🔹 PHP代表？

#php是個人快樂鬆餅 #HelloWorld是在哈囉 #冷知識大賽
一定要看到影片最後面並且在「YouTube影片下方」按讚留言訂閱分享唷！
每隔週星期四晚上9點更新，請記得開啟YouTube🔔通知！
-

【愛屋及烏】
YouTube 👉 https://www.youtube.com/c/Untyped對啊我是工程師
Podcast 👉 https://open.spotify.com/show/3L5GRMX...
Facebook 臉書粉專 👉 https://www.facebook.com/untyped/
Instagram 👉 https://www.instagram.com/untypedcoding/
合作邀約 👉 untypedcoding@gmail.com
-
Untyped 對啊我是工程師 - There are so many data types in the world of computer science, so are the people who write the code. We aim to UNTYPE the stereotype of engineers and of how coding is only for a certain type of people.
凱心琳: 一個喜歡電腦科學邏輯推理，在科技圈努力為性別平等奮鬥的工程師。

https://youtu.be/K7TFwEnuNEU

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Untyped 對啊我是工程師

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分享電腦科學學習的大小事，讓任何人都有機會接觸編碼寫程式！ Share about
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overview computer science 在 Untyped 對啊我是工程師 Facebook 的精選貼文

Untyped 對啊我是工程師 By Untyped 對啊我是工程師

2020-11-26 21:23:03 有 63 人按讚
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感恩節要來發表達滿滿感激的影片！😚 迫不及待分享更多實習面試經驗了～在垃圾桶裡撿到實習之後，找實習經驗並沒有比較順利，不過卻意外遇到了各種神奇的面試經驗！尤其其中有一次的面試經驗，凱心琳我個人覺得比Google Onsite 還intense還困難呀！😂

📢 📣 📢 本頻道影片內容有輸出成 podcast 📢 📣 📢
可以在各大podcast平台搜尋「Untyped 對啊我是工程師」
請大家多多支持唷！！🙏🏻💁🏻‍♀️

這集會聊到...

Overview 💬
🔹 最好玩的面試 - Snapchat
🔹 最特別的面試 - AI2
🔹 最順利的面試 - ???
🔹 最挫折的面試 - Indeed
🔹 最荒唐的面試 - Uber
🔹 最喜歡的實習 - ???

#早八面試 #面試官還吃橘子
一定要看到影片最後面並且在「YouTube影片下方」按讚留言訂閱分享唷！
-
每隔週星期四晚上9點更新，請記得開啟YouTube🔔通知！
-

【愛屋及烏】
YouTube 👉 https://www.youtube.com/c/Untyped對啊我是工程師
Podcast 👉 https://open.spotify.com/show/3L5GRMXmq1MRsliQt43oi2?si=3zgvfHlETeuGfp9rIvwTdw
Facebook 臉書粉專 👉 https://www.facebook.com/untyped/
Instagram 👉 https://www.instagram.com/untypedcoding/
合作邀約 👉 untypedcoding@gmail.com
-
Untyped 對啊我是工程師 - There are so many data types in the world of computer science, so are the people who write the code. We aim to UNTYPE the stereotype of engineers and of how coding is only for a certain type of people.
凱心琳: 一個喜歡電腦科學邏輯推理，在科技圈努力為性別平等奮鬥的工程師。

https://youtu.be/FGATC2JWouA

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overview computer science 在 Scholarship for Vietnamese students Facebook 的精選貼文

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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overview computer science 在 Untyped 對啊我是工程師 Youtube 的精選貼文

Untyped 對啊我是工程師 By Untyped 對啊我是工程師

2021-09-29 18:00:11 有 1,904 人看過 有 113 人喜歡
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👇👇👇【凱心琳粉絲Himalaya專屬優惠】（提供30天免費試用！）👇👇👇
https://www.himalaya.com/mPmC6
（此連結已有我的優惠不用再輸入優惠碼！）
2. 點擊「領取30天免費暢聽」
3. 登入 or 注冊後右邊就會出現「優惠碼untyped已兌換 」
★ 如果沒有出現請在優惠碼欄位輸入「untyped」
（可隨時退訂，且30天內完全免費）

這集會聊到...

💬 Overview 💬

1:30 💙 不用早起通勤
2:40 💙 聊聊有聲書
6:30 💙 工作時間彈性
8:26 💙 工作地點彈性
9:09 💙 沒有免費食物
9:40 💙 不用看到同事
11:00 💙 凱心琳喜歡遠端工作嗎

📢 📣 📢 本頻道影片內容有輸出成 podcast 📢 📣 📢
可以在各大podcast平台搜尋「Untyped 對啊我是工程師」
請大家多多支持呀！！🙏🏻💁🏻‍♀️

#遠端工作 #WorkFromCar #Himalaya有聲書
一定要看到影片最後面並且在「YouTube影片下方」按讚留言訂閱分享唷！

【愛屋及烏】
YouTube 👉 https://www.youtube.com/c/Untyped對啊我是工程師
Podcast 👉 https://open.spotify.com/show/3L5GRMXmq1MRsliQt43oi2?si=3zgvfHlETeuGfp9rIvwTdw
Facebook 臉書粉專 👉 https://www.facebook.com/untyped/
Instagram 👉 https://www.instagram.com/untypedcoding/
合作邀約 👉 untypedcoding@gmail.com
-
Untyped 對啊我是工程師 - There are so many data types in the world of computer science, so are the people who write the code. We aim to UNTYPE the stereotype of engineers and of how coding is only for a certain type of people.
凱心琳: 一個喜歡電腦科學邏輯推理，在科技圈努力為性別平等奮鬥的工程師。

post-title
Untyped 對啊我是工程師

About author
Untyped - There are so many data types in the world of computer science, so are the people who write the code. We aim to UNTYPE the stereotype of engineers and of how coding is only for a certain type of people. 歡迎來到 對啊我是工程師，我是凱心琳。一個喜歡電腦科學邏輯推理，在科技圈努力為性別平等奮鬥的工程師。
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overview computer science 在 Untyped 對啊我是工程師 Youtube 的最佳解答

Untyped 對啊我是工程師 By Untyped 對啊我是工程師

2021-08-26 15:00:06 有 6,058 人看過 有 209 人喜歡
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今天巧遇來 Google 借廁所看烏龜的哈佛姐 Alice
雖然廁所沒上到，免費的飯也沒吃到，但是卻從訪談中認識到學霸轉職的心路歷程其實不如大家預期的輕鬆！哈佛姐這次也在訪談中提到許多tips 跟建議，希望對於想轉職軟體工程師的你有所幫助～

哈佛姐的影片：https://youtu.be/P8X5-LoaCis

這集會聊到...

💬 Overview 💬
💙 哈佛姐是誰 0:55
💙 如何去常春藤名校 2:35
💙 學霸兒時夢想就很驚人 4:03
💙 哈佛 vs 博客來 4:45
💙 學霸轉職心得 6:03
💙 工程師職涯規劃 6:39
💙 讀書有用嗎 7:45
💙 為何要讀那麼多學位 9:14
💙 轉職需要學位嗎 9:40
💙 想跟剛進哈佛的自己說什麼 10:50
💙 遊完矽谷，哈佛姐想夢遊 __? 12:10

👇🏻 哈佛姐夢遊矽谷 AliceInSiliconWonderland 👇🏻
https://www.youtube.com/channel/UCB9ryAh6vhavNxALJUJT6-Q


📢 📣 📢 本頻道影片內容有輸出成 podcast 📢 📣 📢
可以在各大podcast平台搜尋「Untyped 對啊我是工程師」
請大家多多支持呀！！🙏🏻💁🏻‍♀️

#哈佛姐 #讀書有用嗎 #哈總統
一定要看到影片最後面並且在「YouTube影片下方」按讚留言訂閱分享唷！

【愛屋及烏】
YouTube 👉 https://www.youtube.com/c/Untyped對啊我是工程師
Podcast 👉 https://open.spotify.com/show/3L5GRMXmq1MRsliQt43oi2?si=3zgvfHlETeuGfp9rIvwTdw
Facebook 臉書粉專 👉 https://www.facebook.com/untyped/
Instagram 👉 https://www.instagram.com/untypedcoding/
合作邀約 👉 untypedcoding@gmail.com
-
Untyped 對啊我是工程師 - There are so many data types in the world of computer science, so are the people who write the code. We aim to UNTYPE the stereotype of engineers and of how coding is only for a certain type of people.
凱心琳: 一個喜歡電腦科學邏輯推理，在科技圈努力為性別平等奮鬥的工程師。

post-title
Untyped 對啊我是工程師

About author
Untyped - There are so many data types in the world of computer science, so are the people who write the code. We aim to UNTYPE the stereotype of engineers and of how coding is only for a certain type of people. 歡迎來到 對啊我是工程師，我是凱心琳。一個喜歡電腦科學邏輯推理，在科技圈努力為性別平等奮鬥的工程師。
20800 subscribers viewes
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overview computer science 在 Untyped 對啊我是工程師 Youtube 的最佳貼文

Untyped 對啊我是工程師 By Untyped 對啊我是工程師

2021-07-23 16:00:11 有 9,576 人看過 有 798 人喜歡
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LeetCode是所有軟體工程師找實習找工作都必用的平台，雖然大部分功能都是免費的，但天下沒有白吃的午餐，讓人好奇付費版 LeetCode Premium 到底有沒有用？今天讓使用過 LeetCode Premium 準備並通過 Google軟體工程師面試的我來分享一下我的使用感想！
影片中會告訴你如何免費拿到各種付費功能～
然後還有我到底刷了幾題通過了Google面試哈哈！

這集會聊到...

💬 Overview 💬

💙 LeetCode Premium功能簡介 1:25
💙 我覺得好用的付費版功能 1:50
💙 我覺得沒用的付費版功能 4:00
💙 如何免費得到類似的付費功能 1:50 3:00
💙 結論：LeetCode Premium 到底值不值得？5:58
💙 誰適合買 LeetCode Premium？6:38
💙 我刷了多少題通過 Google 面試 7:57


📢 📣 📢 本頻道影片內容有輸出成 podcast 📢 📣 📢
可以在各大podcast平台搜尋「Untyped 對啊我是工程師」
請大家多多支持呀！！🙏🏻💁🏻‍♀️

#LeetCodePremium值得嗎 #力扣刷題進階功能免費用
一定要看到影片最後面並且在「YouTube影片下方」按讚留言訂閱分享唷！

【愛屋及烏】
YouTube 👉 https://www.youtube.com/c/Untyped對啊我是工程師
Podcast 👉 https://open.spotify.com/show/3L5GRMXmq1MRsliQt43oi2?si=3zgvfHlETeuGfp9rIvwTdw
Facebook 臉書粉專 👉 https://www.facebook.com/untyped/
Instagram 👉 https://www.instagram.com/untypedcoding/
合作邀約 👉 untypedcoding@gmail.com
-
Untyped 對啊我是工程師 - There are so many data types in the world of computer science, so are the people who write the code. We aim to UNTYPE the stereotype of engineers and of how coding is only for a certain type of people.
凱心琳: 一個喜歡電腦科學邏輯推理，在科技圈努力為性別平等奮鬥的工程師。

post-title
Untyped 對啊我是工程師

About author
Untyped - There are so many data types in the world of computer science, so are the people who write the code. We aim to UNTYPE the stereotype of engineers and of how coding is only for a certain type of people. 歡迎來到 對啊我是工程師，我是凱心琳。一個喜歡電腦科學邏輯推理，在科技圈努力為性別平等奮鬥的工程師。
20800 subscribers viewes
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