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What is Artificial Intelligence?
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Artificial Intelligence (AI) is the field of computer science dedicated to solving cognitive problems commonly associated with human intelligence, such as learning, problem solving, and pattern recognition. Artificial Intelligence, often abbreviated as “AI”, may connote robotics or futuristic scenes, AI goes well beyond the automatons of science fiction, into the non-fiction of modern day advanced computer science. Professor Pedro Domingos, a prominent researcher in this field, describes “five tribes” of machine learning, comprised of symbolists, with origins in logic and philosophy; connectionists, stemming from neuroscience; evolutionaries, relating to evolutionary biology; Bayesians, engaged with statistics and probability; and analogizers with origins in psychology.
Recently, advances in the efficiency of statistical computation have led to Bayesians being successful at furthering the field in a number of areas, under the name “machine learning”. Similarly, advances in network computation have led to connectionists furthering a subfield under the name “deep learning”. Machine learning (ML) and deep learning (DL) are both computer science fields derived from the discipline of Artificial Intelligence.
Broadly, these techniques are separated into “supervised” and “unsupervised” learning techniques, where “supervised” uses training data that includes the desired output, and “unsupervised” uses training data without the desired output.
AI becomes “smarter” and learns faster with more data, and every day, businesses are generating this fuel for running machine learning and deep learning solutions, whether collected and extracted from a data warehouse like Amazon Redshift, ground-truthed through the power of “the crowd” with Mechanical Turk, or dynamically mined through Kinesis Streams. Further, with the advent of IoT, sensor technology exponentially adds to the amount of data to be analyzed — data from sources and places and objects and events that have previously been nearly untouched.
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Human Resources is also the organizational function that deals with the people and issues related to people such as compensation, hiring, performance management, and training. <a href="https://www.mytectra.com/interview-question/human-resourse-hr-interview-questions/">Human Resource (HR) Interview Questions</a>
Top 25 Python Interview Questions Prepared by Experts
1. What is JSON? How would convert JSON data into Python data? JSON – stands for JavaScript Object Notation. It is a popular data format for storing data in NoSQL databases. Generally JSON is built on 2 structures. A collection of <name, value> pairs. An ordered list of values. As Python supports JSON parsers, JSON-based data is actually represented as a dictionary in Python. You can convert json data into python using load() of json module. 2. How are the functions help() and dir() different? These are the two functions that are accessible from the Python Interpreter. These two functions are used for viewing a consolidated dump of built-in functions. help() – it will display the documentation string. It is used to see the help related to modules, keywords, attributes, etc. To view the help related to string datatype, just execute a statement help(str) – it will display the documentation for ‘str, module. ◦ Eg: ...

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