👆🏻Understanding this process is important in binary search. So try to think about it how we can search for 7 after you understand this you'll gain different between binary & linear search. In addition you can say which is more efficient and not😁 Don't be hesitate this course it's truly interesting👌

2️⃣POINTER TECHNIQUE Still now on studying...🧑‍💻

after then chatgpt gives me this👇 First: Forget the Name “Two Pointer”
Don’t think “two pointer technique”.
Think only this:
“How can I look at two places in the array at the same time and move intelligently?”
That’s it.

Easy way to understand Two-Pointer: Step 1: Starts from human way: imagine this array [1, 3, 4, 6, 8, 10] Question:
👉 “Is there a pair that adds up to 11?” How beginner think to get 11 the same as true it follows this 1 + 3, 1 + 4, 1 + 6 ... Too many checks😇 Your brain already feels this's wasteful Step 2: In other way (this's where two pointer is important) : If I add smallest + largest, what happens? 1(smallest) + (largest)10 = 11 👆🏻This thinking is two pointer Step 3: Why moving pointer make sense? Suppose target = 9 here 1 = L and 10 = R CASE 1: 1 + 10 = 11 (too big) Question:
👉 Should you increase 1 or decrease 10? — 1 is already smallest, but big sum comes from 10 So move right pointer left 1 + 8 = 9 ✅ 👉🏽Two Pointer is not trick it's just using position + logic to avoid waste.

You're given this sorted array: [2, 3, 5, 7, 11, 15], target sum = 10 your task explain👇: 1.Which two numbers would you look at first?
2.What is their sum?
3.Is the sum too big, too small, or exact?
4.Which number would you change and why? 👉🏽Key point: this thinking foster our thinking capacity. Therefore, just go ahead and try to explain it by your own word.👉🏽 No need to code.🧑‍💻

If we're given the array of sorted list and duplicated elements what shall do?👆🏻 In general the logic skip the duplicated and take the unique then it compared with the other element to get the target. In this process target is sum of the two numbers. So this image is solving for what we're talking about.👆🏻

Let me clearly explain for u our mission. About 4 weeks ago I've decided to start machine learning, then I thought why amn't start the roadmap of ML before directly jump in to ML then, I started with Basic Python programming. Fortunately I finished that.

And now am learning DSA, but this's not only memorizing the topics as far as i learn i solve problem and understand each topics, DSA may take time no worries for that.😃

Just this's 2nd phase to foster our skill related to ML.
We'll solve problem from
Leetcode, geeksforgeeks, & from others sources

Key point: WHILE I LEARN I SHARE EVERYTHING I UNDERSTAND & EACH TOPICS. In simple am learning in public not private 💯
Generaly you can also share u'r idea in this group.✍

Data communication&Networking