Python for Machine Learning: Benefits & Challenges

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Initially released in 1991, Python is a general-purpose programming language that was designed with a philosophy of optimizing the code readability. It is often referred to as a "batteries included" language because of its comprehensive standard library. Python being used for Machine Learning is a hot topic that has been doing the rounds all over the industry. According to Ubuntu Pit, it's also ranked 2nd among the list of best programming languages, right after JavaScript, and there are really good reasons for that. Many people don't know this but Python was conceived as a successor to the ABC language.


Top 15 Artificial Intelligence Platforms - Predictive Analytics Today

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Artificial Intelligence is when a machine mimics the cognitive functions that humans associate with other human minds, such as learning and problem solving, reasoning, problem solving, knowledge representation, social intelligence and general intelligence. The central problems of AI include reasoning, knowledge, planning, learning, natural language processing perception and the ability to move and manipulate objects. Approaches include statistical methods, computational intelligence, soft computing and traditional symbolic AI. Many tools are used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics. AI platform is defined as some sort of hardware architecture or software framework (including application frameworks), that allows software to run.


Top 15 Python Libraries for Data Science in 2017

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It is rather a web-based toolbox for building visualizations, exposing APIs to some programming languages (Python among them). There is a number of robust, out-of-box graphics on the plot.ly In order to use Plotly, you will need to set up your API key. The graphics will be processed server side and will be posted on the internet, but there is a way to avoid it. Scikits are additional packages of SciPy Stack designed for specific functionalities like image processing and machine learning facilitation.


Top 15 Python Libraries for Data Science in 2017

#artificialintelligence

It is rather a web-based toolbox for building visualizations, exposing APIs to some programming languages (Python among them). There is a number of robust, out-of-box graphics on the plot.ly In order to use Plotly, you will need to set up your API key. The graphics will be processed server side and will be posted on the internet, but there is a way to avoid it.


Top 5 Best Artificial Intelligence(AI) Frameworks and Libraries for AI

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The existence of Artificial intelligence has been for a long time in the industry. The impact of AI has never been limited moreover, it has become an important element in recent years. The huge improvements in various fields, especially in mobile App development, is due to the development of various libraries and framework. Thus we can say that AI has become a responsive IT field and has lots of research going into it. There are many AI solutions that came into existence due to the implementation and integration of libraries and framework.