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A minimalist black and white image featuring a series of pillars with binary and data streaming off them, created by Duncan Rawlinson. This piece explores the intersection of photography and artificial intelligence. The image presents a series of pillars with binary and data cascading from them, reflecting a modern take on data visualization and the hidden layers of digital information. Through this work, Rawlinson reveals the intricate connections between technology and art in a minimalist black and white composition.
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The interior of the School of Data Science. Featuring large glass windows that overlook Grounds, two retro-style orange chairs, and a multi-story data structure lit orange and blue (photo credit: Nic LeHoux)
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At the heart of IPFS lies a powerful authenticated data structure: the merkle dag (directed acyclic graph). It provides very useful properties for distributed protocols: immutability, verifiability, and content-addressing. Of course, the merkle-dag can be used to construct any other data structures: file systems, version histories, PKIs, CRDTs, blockchains, web app data models, and so on. IPFS is designed to make it easy to write distributed applications by allowing you to model your data structures directly on it.
AI is influencing the fate of practically every industry and each individual. AI has gone about as the main driver of arising innovations like big data, robotics, and IoT, and it will keep on going about as a mechanical pioneer for years to come.
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SQL stands for Structured Query Language. SQL lets you access and manipulate databases. To know more about SQL you can visit our website just by clicking on the image.
Are you thinking about what questions will be asked in React JS interview? Relax we bring you the 10 most asked React JS interview questions with answers. to know that click on the image.
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#datastructure #algorithm #linkedlist
1 cấu trúc dữ liệu quan trọng là nền tảng để xây dựng các cấu trúc phức tạp sau này như Stack, Queue, Tree,… Linkedlist là một khái niệm mà mọi anh em lập trình như chúng ta phải biết để hiểu được các cấu trúc khó hơn khi học vào cấu trúc dữ liệu và giải thuật từ đó có một lượng kiến thức để giải quyết các bài toán lập trình.
What ? LinkedList là gì ?
Là cấu trúc dữ liệu cái mà node hiện tại sẽ liên kết đến một vùng nhớ của node tiếp theo
Là nền tảng của các thuật toán nào ?
Hàm băm (hashtable)Tree ?Stack, Queue
What's type of ? Trong linkedlist thì có những loại nào ?
Có 2 loại chính là Single LinkedList và Doubly LinkedList. Một cái nữa là Circular LinkedList
Con trỏ là gì ?
trannhatsang.com/linkedlist-la-gi-tai-sao-can-dung-linked...
HashMap is an implementation class of Map Interface.It implements two Marker interfaces 1)Serializable and 2)Cloneable.The underlined data structure of HashMap is HashTable.
Default capacity f hahmaps16 and it grows based on the load factor or fill ratio.It doesn't follow the order of insertion.The HashMap grows at runtime once the fill ratio or load factor is met the default load factor is 0.75.
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hi in this post you will learning About What is coding
Trong khoa học máy tính nói chung và phần mềm nói riêng, để lập trình tạo ra những dòng code chất lương, chúng ta phải đi từ những khái niệm cơ bản nhất. Và BigO là khái niệm cần phải biết trước tiên khi bước vào từng cấu trúc giải thuật và dữ liệu!
BigO là gì ?
Là độ phức tạp của thuật toán, dùng để đánh giá, phân tích thuật toán có tối ưu hay không ? dựa vào giá trị gia tăng của số lượng biến đầu vào
Các dạng BigO phổ biến
- O(n): Linear time
- O(1): Constant time, là hằng số thời gian không thay đổi theo lượng input đầu vàoVD: có 100000 input item và 1 input item thì kết quả của thuật toán không khác nhau
- O(logN): Mỗi lần lặp sẽ giảm đi 1/2 thời gian
- O (n2): 2 vòng lặp lồng nhau
Sự khác nhau giữa BigO, Big Omega, BigTheta notations ?
Dưới là 2 link mình đã tìm kiếm có giải thích kỹ lưỡng về sự khác nhau của 3 khái niệmhttps://www.quora.com/What-is-the-difference-between-big-oh-big-omega-and-big-theta-notations
chatgpt.com/share/67511669-c008-8013-9f74-e212c9eda9d2
Khá khó giải thích bằng lời, nhưng để cho dễ tiếp cận mình sẽ giải thích sự khác nhau như sau:
- BigO: Trường hợp xấu nhất
- Big Omega: Trường hợp tốt nhất (best case)
- Big Theta: Trường hợp xấu nhất, tốt nhất, trung bình
Ví dụ: về thuật toán linear search
function linearSearch(arr, target) {
for (let i = 0; i
-
- Worst-case: We have to check all elements.
- Time complexity: O(n).
-
- Best-case: We find it in 1 operation.
trannhatsang.com/bigo-la-gi-trong-thuat-toan-1-cong-cu-qu...
Hi this post is About the Road Map of Data science for those Who Want To Become Data scientists Or For Those who Want to learn about data science.
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Data structures are basically different ways to store and organize data on your computer. To know more about data structure click on the link.
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Being an android developer their are few things that should know about. Here we tell you some of the important things related to android development that every android developer should know. To know about click on the image.
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MongoDB is a very popular NoSQL database choice that integrates very well with Node. In this course, our aim is to introduce you to MongoDB with Mongoose and enforce some great practices along the way.
TreeSet is an implementation class of SortedSet. It was introduced from JDK1.2
The elements in the TreeSet are sorted by default in ascending order.We can add only the objects that are comparable type to TreeSet otherwise TreeSet throws ClassCastException.
The TreeSet doesn't support heterogeneous collection.Null cannot be inserted in TreeSet.
The Elements of the TreeSet compare themselves based on the comparable interface. Such comparison is known as mutual comparison.
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