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關於 i.e. math ，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i.e. math這個產品中，有5篇Facebook貼文，粉絲數超過163的網紅Mandeeeee，也在其Facebook貼文中提到， Just got the Homeschool Teacher of the Year 2020 👩🏻‍🏫🏆 for a job I never wanted. BUT you all know I have a special talent of making the best of every...

i.e. math 在 Mandeeeee Facebook 的最佳解答

Mandeeeee By Mandeeeee

2021-02-03 21:04:31 有 3 人按讚
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Just got the Homeschool Teacher of the Year 2020 👩🏻‍🏫🏆 for a job I never wanted.

BUT you all know I have a special talent of making the best of every situation, so I found OSMO!

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Children play outside the Tablets with real, tangible pieces which make learning more effective.

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Mandeeeee

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i.e. math 在 Facebook 的精選貼文

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2020-11-17 14:42:43 有 754 人按讚
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其實有不少眼尖的網友發現我搬家了
因為今年美國疫情擴散、導致孩子們全面100%遠距上課（今年除了升小二的Robbie之外，增加了幼稚園K的新鮮人Blair）
所以我們不得不重新思考搬家、並以「遠距上班上課」為前提調整家裡空間的分配
讓上班的上課的都有自己的小天地
（對啦！全家沒有自己空間的人只有我😂）

身邊有些朋友知道我計畫性地轉為home schooling （自學），彼此也經常交換意見。

簡單來說，我覺得沒有好或不好
每個家庭home school的經驗也都不盡相同
不論你是因為有四處旅居的需求？孩子有special needs? 宗教信仰？還是因為像我們這樣對於社區/疫情有安全考量，反正就是個決定，看妳覺得是不是適合你家的孩子

我單純只是覺得學區的課程對我來說有點浪費時間，畢竟小孩要學的東西很多，老母我沒有耐心一一盯著😂 希望有效率一點趕快完成。home school比較能針對個別孩子的需求去強化他擅長的領域或補足落後的科目，上課的方式完全由媽媽自己制定where, when and how

自學的教材比你我想像中還多，當然價位高低也不同，有幾家literacy教材很好但數學普通，有的數學好但歷史很無聊，建議不用買全餐，一家一家單點也不錯，每個小孩喜歡的也不同。像Blair就適合Abeka的螺旋式數學教學但Robbie就只吃AoPS這種跳躍性、重視覺的數學方案。網路上也有很多開箱文和評比值得參考喔！

我還是新手幼幼班菜鳥，目前還是跟著學區的課，沒有直接withdraw （但之後會申請改為part time students）
但是下課之後就以我自己制定的課表在學習（嗯⋯沒在管學校功課，只要有交就好，主要以媽媽的功課為重點）。學區其實在你file declaration 之後也有蠻多支援，還是可以參加學校限定時數的課程，所以沒什麼好擔心啦！

👉🏻如果想知道要不要開始？欸⋯只能問自己啊😂 我沒有答案，但很推薦盡量參與自學社團，有很多前輩分享寶貴經驗。

再來就是自己研究一下居住地區的「法律」，對，每一州不太一樣，我覺得WA算是比較麻煩的

（以下只是option 1，Homeschooling under the homeschool statute是我考慮的。還有option 2 Homeschooling with a private or denominational school 大家可以自己研究）

1. Meet the teacher qualifications.

You must be qualified to operate a homeschool program by either:

instructing only your child and being supervised by a certificated person (i.e., the certificated person and the parent together plan the educational objectives; the certificated person has a minimum average of one contact hour per week with the child; and the certificated person evaluates the child’s progress); or
instructing only your child and having either 45 college quarter credits or the equivalent in semester credits (approximately 30 semester credits, since one quarter credit equals two-thirds of a semester credit); or
instructing only your child and having completed a course in home-based education at a postsecondary institution or a vocational-technical institute (these courses generally do not require an extensive time commitment); or
instructing only your child and being “deemed sufficiently qualified to provide home-based instruction by the superintendent of the local school district.”

2. File a notice of intent.

You must annually file a signed declaration of intent to homeschool by September 15 or within two weeks of the beginning of any public school quarter, trimester, or semester. File with the local superintendent or with the superintendent of a nonresident district that accepts the homeschool student as a transfer student. The declaration must include the name and age of your child, specify whether a certificated person will be supervising the instruction, and be written in a format prescribed by the superintendent of public instruction. HSLDA has a declaration of intent form available for our members’ use, which you can find below.

3. Teach for the required number of days.

You must teach 180 days per year, or average 1,000 hours per year.

4. Teach the required subjects.

Your homeschool curriculum must include occupational education, science, math, language, social studies, history, health, reading, writing, spelling, and the development of an appreciation of art and music.

5. Conduct an annual assessment.

You have two options for the required annual assessments. The results of the assessment do not need to be submitted to the public schools but must be retained as part of your child’s permanent school record.

The assessment options are:

Ensure that a standardized test approved by the state board is administered annually to your child by a “qualified” person (i.e. anyone qualified by the test publisher to administer the test), or
Have your child evaluated by a certificated person.

歡迎有興趣一起自學的媽媽可以多交流，但我大概也沒有比大家懂更多就是了😂

僅此附上我新開張的 #羅比媽自學小教室 照片，目前只有兩個實驗生就是了～哈哈哈

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i.e. math 在 โปรแกรมเมอร์ไทย Thai programmer Facebook 的最佳解答

โปรแกรมเมอร์ไทย Thai programmer By โปรแกรมเมอร์ไทย Thai programmer

2020-05-26 09:45:08 有 473 人按讚
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🤓 หลายคนอาจเคยบ่น "เรียนเลขไปทำไม ไม่เห็นได้ใช้เลย"
อันนี้เป็นแค่ตัวอย่าง เพื่อให้รู้ว่าเลขที่เราเรียนตอนม.ปลาย
ไม่ควรทิ้งถ้าคิดจะเรียนคอมพิวเตอร์ ในระดับสูง
.
👉 1) สมการเชิงเส้น
เริ่มต้นจากสมการเส้นตรง ที่มีหน้าตาดังนี้ y=mx+c เรียกว่ารูปมาตรฐาน
- เมื่อ m เป็นความชัน
-ส่วน c เป็นจุดตัดแกน y
.
สมการเชิงเส้นเราจะได้เรียนในระดับ ม 4
พอในม.5 วิชา วิทยาการคำนวณ
ก็จะเห็นประโยชน์ของสมการเส้นตรงถูกนำไปใช้ในงาน data science (วิทยาการข้อมูล)
นำไปใช้วิเคราะห์ข้อมูลแบบ linear regression
.
กล่าวคือเมื่อเรามีข้อมูลย้อนหลังในอดีต
แล้วสามารถนำไปพล็อตลงบนกราฟแกน x กับ y
ผลปรากฏว่าข้อมูลมีความสัมพันธ์เป็นเส้นตรง
ในกรณีเราสามารถหาสมการเส้นตรงที่เหมาะสมสุด (optimize)
นำมาใช้พยากรณ์ข้อมูลล่วงหน้าในอนาคตได้
.
แต่ในกรณีที่ความสัมพันธ์ของข้อมูลพบว่าไม่ใช่เส้นตรง
เราสามารถใช้สมการที่ไม่ใช่เส้นตรง มาใช้พยากรณ์ข้อมูลก็ได้เช่นกัน
.
👉 2) เมทริกซ์
คือกลุ่มของจำนวนตัวเลข ที่เขียนเรียงกันเป็นรูปสี่เหลี่ยมผืนผ้าหรือจัตุรัส
นอกจากใช้แก้สมการหลายตัวแปรแล้ว
จะมีประโยชน์เวลานำไปประมวลภาพ (Image processing)
หรืองานพวกคอมพิวเตอร์วิชั่น (computer vision)
.
ต้องบอกอย่างนี้ว่า รูปภาพดิจิตอลที่เราเห็นเป็นสีสันสวยงาม
แต่ทว่าคอมไม่ได้มองเห็นเหมือนคน
มันมองเห็นเป็นเมทริกซ์ โดยข้างในเมทริกซ์ก็คือตัวเลขของค่าสี
และเราสามารถกระทำการคณิตศาสตร์กับรูปภาพได้
เช่น บวกลบ คูณหาร กับรูปภาพดิจิตอล ในมุมของเมทริกซ์
.
👉 3) ความน่าจะเป็น
ยกตัวอย่างเช่น ทฤษฏี Bayes' theorem
ทฤษฏีหนึงของความน่าจะเป็น
จะใช้หาว่าสมมติฐานใดน่าจะถูกต้องที่สุด โดยใช้ความรู้ก่อนหน้า (Prior Knowledge)
.
ทฤษีนี้ถูกนำไปใช้ในงานวิเคราะห์ข้อมูล รวมทั้งการเรียนรู้ของเครื่อง
เช่น จงหาความน่าจะเป็นที่ชาเขียวขวดนั้นจะผลิตจากโรงงานจากประเทศไทย
จงหาความน่าจะเป็นว่าผู้ป่วยจะเป็นโรคมะเร็ง เมื่อหายจากการติดเชื้อไวรัสโคโรนา
เป็นต้น
.
👉 4) แคลคูลัส
ตัวอย่างเช่น ถูกนำมาใช้ใน neural network
ซึ่งก็เครือข่ายประสาทเทียมที่เลียนแบบเซลล์สมอง
แต่จริงๆ ข้างในเครือข่ายจะประกอบไปด้วยน้ำหนัก
.
น้ำหนักที่ว่านี้มันก็คือตัวเลขจำนวนจริง ที่เริ่มต้นสุ่มขึ้นมา
แล้วเวลาจะหาค่าน้ำหนักที่เหมาะสม (optimize)
มันจะถูกปรับทีละเล็กทีละน้อย
โดยอาศัยหลักการเรื่องอนุพันธ์ หรือดิฟนั่นแหละ
.
👉 5) ตรรกศาสตร์
วิชานี้พูดถึง "ประพจน์" หมายถึงประโยคที่ให้ค่าออกมาเป็น True หรืด False
รวมถึงการใช้ตัวเชื่อมประพจน์แบบต่างๆ ไม่ว่าจะเป็น "และ" "หรือ" "ก็ต่อเมื่อ" เป็นต้น
.
ศาสตร์ด้านนี้เป็นพื้นฐานของระบบคอมพิวเตอร์
เพราะวงจรคอมพิวเตอร์พื้นฐาน มีแต่ตัวเลข 0 หรือ 1
จึงสามารถแทนด้วย False หรือ True ในทางตรรกศาสตร์
ไม่เพียงเท่านั้นวงจรอิเลคทรอนิกส์ ก็มีการดำเนินทางตรรกศาสตร์อีกด้วย
ไม่ว่าจะเป็น "และ" "หรือ" "ไม่" เป็นต้น
.
ยิ่งการเขียนโปรแกรม ยิ่งใช้เยอะ
เพราะต้องเปรียบเทียบเงื่อนไข True หรือ False
ในการควบคุมเส้นทางการทำงานของโปรแกรม
.
👉 6) ฟังก์ชัน
ฟังก์ชันคือความสัมพันธ์ จากเซตหนึ่งที่เรียกว่า 'โดเมน' ไปยังอีกเซตหนึ่งที่เรียกว่า 'เรนจ์' โดยที่สมาชิกตัวหน้าไม่ซ้ำกัน
ซึ่งคอนเซปต์ฟังก์ชันในทางคณิตศาสตร์
ก็ถูกนำไปใช้ในการเขียนโปรแกรมแบบ functional programming
.
👉 7) เรขาคณิตวิเคราะห์
ถูกนำไปใช้ในวิชาคอมกราฟิก หรือเกมส์
ในมุมมองของคนที่ใช้โปรแกรมวาดรูปต่างๆ หรือโปรแกรมสร้างแอนนิมเชั่นต่างๆ
เราก็แค่คลิกๆ ลากๆ ก็สร้างเสร็จแล้วใช่มั๊ยล่ะ
.
แต่หารู้หรือไม่ว่า เบื้องเวลาโปรแกรมจะวาดรูปทรง เช่น สี่เหลี่ยม วงรี ภาพตัดกรวยต่างๆ
ล้วนอาศัย เรขาคณิตวิเคราะห์ พล็อตวาดรูปทีละจุดออกมาให้เราใช้งาน
.
👉 8) ปีทาโกรัส
ทฤษฏีสามเหลี่ยมอันโด่งดังถูกนำไปใช้วัดระยะทางระหว่างจุดได้
ซึ่งจะมีประโยชน์ในการแยกแยะข้อมูล โดยใช้อัลกอริทึม
K-Nearest Neighbors (KNN)
ชื่อไทยก็คือ "ขั้นตอนวิธีการเพื่อนบ้านใกล้ที่สุด "
มันจะถูกนำไปใช้งานวิเคราะห์ข้อมูล รวมทั้งการเรียนรู้ของเครื่องอีกด้วย
ไม่ขอพูดเยอะเดี่ยว ม.5 ก็จะได้รู้จัก KNN ในวิชาวิทยาการคำนวณ
.
👉 9) ทฤษฏีกราฟเบื้องต้น
อย่างทฤษฏีกราฟออยเลอร์ (Eulerian graph)
ที่ได้เรียนกันในชั้น ม.5 จะมีประโยชน์ในวิชาคอม
เช่น ตอนเรียนในวิชา network ของคอมพิเตอร์ เพื่อหาเส้นทางที่ดี่สุดในการส่งข้อมูล
หรือจะมองโครงสร้างข้อมูลเป็นแบบกราฟก็ได้ ก็ลองนึกถึงลิงค์ต่างในเว็บไซต์ สามารถจับโยงเป็นกราฟได้ด้วยนะ
.
👉 10) เอกซ์โพเนนเชียล และลอการิทึม
เราอาจไม่เห็นการประยุกต์ใช้ตรงๆ นะครับ
แต่ในการประเมินประสิทธิภาพของอัลกอริทึม เวลาเขียนโปรแกรม
เขาจะใช้ Big O ขอไม่อธิบายเยอะแล้วกันเนอะ
เรื่องนี้มีเขียนอยู่ตำราวิทยาการคำนวณชั้นม.4 (ไปหาอ่านเอาได้)
.
ซึ่งเทอม Big O บางครั้งก็อาจเห็นอยู่ในรูปเอกซ์โพเนนเซียล หรือลอการิทึมนั่นเอง
ถ้าไม่เข้าใจว่า เอกซ์โพเนนเซียล หรือลอการิทึม คืออะไร
ก็ไม่จะอธิบายได้ว่าประสิทธิภาพของอัลอริทึมเราดีหรือแย่
.
+++++++
เป็นไงยังครับ สนใจอยากรู้ว่า เลข ม.ปลาย
สามารถนำไปใช้ศึกษาต่ออะไรอีกบ้างไหมเนี่ย
ถ้าอยากรู้ ผมเลยขอแนะนำหนังสือ (ขายของหน่อย)
.
หนังสือ "ปัญญาประดิษฐ์ (AI) ไม่ยาก"
เข้าใจได้ด้วยเลขม. ปลาย เล่ม 1 (เนื้อหาภาษาไทย)
ติดอันดับ Best seller ในหมวดหนังสือคอมพิวเตอร์ ของ MEB
.
เนื้อหาจะอธิบายปัญญาประดิษฐ์ (A) ในมุมมองเลขม.ปลาย
โดยปราศจากการโค้ดดิ้งให้มึนหัว
พร้อมภาพประกอบสีสันให้ดูอ่านง่าย
.
สนใจสั่งซ์้อได้ที่
👉 https://www.mebmarket.com/web/index.php…
.
ส่วนตัวอย่างหนังสือ ก็ดูได้ลิงค์นี้
👉 https://www.dropbox.com/s/fg8l38hc0k9b…/chapter_example.pdf…
.
ขออภัยเล่มกระดาษตอนนี้ยังไม่มี โทดทีนะครัชชช
.
✍เขียนโดย โปรแกรมเมอร์ไทย thai progammer
🤓 Many people may have complained about ′′ learning the number, why I didn't get to use it
This one is just an example to know the number we studied in high school. The end.
Don't leave if you want to learn computer at high level.
.
👉 1) Linear equation
Start from a straight line equation that looks like y=mx+c called standard photo
- When m is action
- c section is a cutting point y axis
.
Linear equation. We will learn in grade 4
Enough in the university. 5 Computational Science
It will see the benefits of straight line equation being applied to data science (data science) work.
Linear regression data analytics
.
i.e. when we have data back in the past
Then can be taken to plot on the x and y graph.
The result appears that the information is in a straight line.
In the case, we can find the most suitable straight line equation (optimize)
Advance future forecasts
.
But in case the relationship of information found out is not a straight line.
We can also use an equation that is not a straight line to propose information.
.
👉 2) Matrix
Is a group of numbers written in a square or square.
Besides using to solve several variables.
It will be useful when it's leading to the image (Image processing)
Or computer vision jobs (computer vision)
.
I have to say this. The digital photos we see are colorful.
But the computer is not visible as a person.
It's seen as a matrix inside. The matrix is the number of colors.
And we can do math with pictures
Like, plus, multiply, multiply with digital photos in the corner of the matrix.
.
👉 3) Probability
For example, Bayes ' theorem theory.
Theory of probability
I will use which hypothesis is most accurate using previous knowledge (Prior Knowledge)
.
This theory is implemented in data analysis including machine learning.
For example, find the probability that green tea will be manufactured from factories from Thailand.
Find out the probability that patients will have cancer when they recover from Coronavirus infection.
Etc.
.
👉 4) Calculus
For example, being used in neural network.
Which is also an artificial neural network that imitates brain cells.
But really, the network is composed of weight.
.
This weight is also a random number of real numbers.
Time to find the right weight (optimize)
It will be slightly fined.
By living the principle of derivative or divative.
.
👉 5) Logic
This subject speaks of ′′ pronouncement ′′ meaning True or False sentence.
Including using different plural connectors, whether it's ′′ and or or if etc.
.
This aspect of science is the basis of computer system.
Because the basic computer circuit is only 0 or 1 numbers.
So it can be replaced with False or True in logic.
Not only that, the electronic circuit also has logical action.
Whether it's ′′ and or or no etc.
.
The more the programming, the more you use.
Because we have to compare True or False conditions.
In control of the programming path
.
👉 6) function
A function is a relationship from one set called ' domain ' to another set called ' Range ' by a unique face member.
Which concept function in mathematics.
It's been applied to functional programming.
.
👉 7) Analytical Geometry
Being applied in a graphic or games class
In view of people using various drawing programs or Animation Builders.
I'm just a click and drag and it's done. Aren't we?
.
But do you know that in time, the program will draw shapes like a square, rectangular, cone collage.
All living in geometry, analyzing the plot, drawing one at a time. Let us use it.
.
👉 👉 8) Tacorus
The famous triangle theory is implemented to measure the distance between points.
Which would be useful to digest data using algorithms.
K-Nearest Neighbors (KNN)
Thai name is ′′ The closest neighborhood process
It will also be implemented for data analysis including machine learning.
I don't want to talk too much. 5 to know KNN in computational science.
.
👉 9) Preliminary Graph Theory
Theoretically, Graphite Oler (Eulerian Graph)
I have studied in the middle school class. 5 will come in handy in computer class
For example, in a computer network class to find the best way to send information.
Or look at the data structure as a graph. Think about the different links on the website. They can be linked as graphics.
.
👉 10) m AND LOGARIETYM
We may not see the application straight away.
But in assessing the performance of programming time algorithm.
He's going to use Big O. Let's not explain a lot.
This story is written in the textbook. Calculating class. 4 (go to read)
.
The Big O term may sometimes be seen in an ex-ponytail or a logic.
If you don't understand what is Exponity or Logarithum?
It doesn't explain whether our algorithm performance is good or bad.
.
+++++++
How is it? If interested, I want to know the number. The end.
Can I study anything else?
If you want to know, I recommend a book (selling stuff)
.
Book ′′ Artificial Intelligence (AI) is not difficult ′′
You can understand by the number of km. End of book 1 (Thai content)
Best seller in MEB computer book category
.
Content describes Artificial Intelligence (A) in the view of the number. The end.
Without a coding dizzy
With colorful illustrations to be seen. Easy to read.
.
If interested, order at.
👉 https://www.mebmarket.com/web/index.php?action=BookDetails&data=YToyOntzOjc6InVzZXJfaWQiO3M6NzoiMTcyNTQ4MyI7czo3OiJib29rX2lkIjtzOjY6IjEwODI0NiI7fQ&fbclid=IwAR11zxJea0OnJy5tbfIlSxo4UQmsemh_8TuBF0ddjJQzzliMFFoFz1AtTo4
.
As private as a book, you can see this link.
👉 https://www.dropbox.com/s/fg8l38hc0k9b0md/chapter_example.pdf?dl=0
.
Sorry for paper book. I haven't got it yet. I'm sorry.
.
✍ Written by Thai programmer thai progammerTranslated

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โปรแกรมเมอร์ไทย Thai programmer

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เพจนี้เปิดใช้งานเมื่อ 22 มิถุนายน 2014 เพจนี้เน้นหนักไป ทางการเขียนโปรแกรม คอมพิวเตอร์ และไอที ล้วน ๆ แบบฮาร์ดคอ หรือจะไร้สาระ มุกตลกขำ
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i.e. math 在 Pedro Tamaroff 的推薦與評價

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i.e. math 在 Abbreviations in math mode - TeX - LaTeX Stack Exchange 的推薦與評價

Your third version \ieC produces larger spacing since you have . in text mode, i.e., the period ends a sentence. Usually one would probably write i.e.\ ... ... <看更多>

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