Similar to stacks, queues are another type of linear data structure based on either arrays or linked lists. The characte

Earlier this week Vice reported the latest example of one of these harms: Coders were using images of sexual abuse to train algorithms to make porn. The article details how nonconsensual images were compiled by an anonymous PhD student into a dataset and combined with off-the-shelf algorithms to generate custom videos.

JSONView pretty prints responses that are of type application/json. Any JSON when it is not viewed in its tree view, it’s very tough to read and understand. Here’s where JSONView would come in handy.

Less than 10 years ago, some of the most basic artificial intelligence algorithms, like image recognition, required the sort of computing power typically found in data centers. Today, those tools are available on your smartphone, and are far more powerful and precise.

Hashing is a process that converts a key with a hash function in order to receive a hashed key. This hash function determines the index of the table or structure where the value should be stored.

Like nuclear power or rocket propulsion, artificial intelligence is considered a “dual-use” technology, which means that its capacity for harm is equal to its potential for good.

A graph is a data structure that is an interconnection of nodes. These nodes are also referred to as vertices. A pair (x,y) is called an edge, which indicates that vertex x is connected to vertex y. An edge may indicate a weight/cost value, which is the cost of traversing through that path — between two vertices.

Since a common hash function is used for converting all keys, there’s the possibility of collisions. Let’s have a look at the below example considering our hash function k.

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ap in SQL courses’ levels. Simply put, either the course is too introductory or advanced. The former scratches on the surface of SQL such as (SELECT, INSERT, and UPDATE queries). Whereas, the latter might appear cryptic and hopeless to follow.

Although this is similar to a regular key-value pair data store, the generation of the keys makes hash tables unique. Keys are generated with a special process called hashing.

Since a common hash function is used for converting all keys, there’s the possibility of collisions. Let’s have a look at the below example considering our hash function k.

Hash Table data structure stores data in key-value pairs. This means that each key in the hash table has a corresponding value associated with it. This simple layout makes hash tables very efficient in the insertion and searching of data, regardless of the size of the table.

Sometimes people might wonder why should we go through this additional process of hashing when we can simply map the values directly with the key. Although direct mapping is simple, it might not be an efficient solution when used with a large data set. With hashing, we can achieve a near-constant time of O(1).

For example, consider using a hash function, k. If the original key is 20, the hashed key would 20=3. This means that the value would be stored in index 3 of our hash table.

A tree is a hierarchical data structure consisting of vertices (nodes) and edges that connect them. Trees are often used in AI and complex algorithms as they provide an efficient approach to problem-solving. A tree is a special type of graph that does not contain any cycles. Some people argue that trees are totally different from graphs but these arguments are subjective.