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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.


Why Python Is The Most Adaptable for AI & Machine Learning?

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Artificial Intelligence or Machine Learning has proven to be game-changers that transformed the digital landscape. They open boundless opportunities for online businesses and help the businesses grow by improving productivity, simplifying processes and optimizing technical efforts. Python, C, Java, LISP, and Prolog are among the preferred technologies that can be used for implementing AI-based projects. At SynergyTop, we prefer Python and consider it the most optimum choice for building AI and ML solutions. Python is simple and easy to learn and is a preferred choice for developers across the globe.


Master These Artificial Intelligence Technologies and Tools Today - Simpliv Blog

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"I am telling you, the world's first trillionaires are going to come from somebody who masters AI and all its derivatives, and applies it in ways we never thought of." Artificial Intelligence (AI), despite being a technology that is more than 50 years old, still most people wonder what this field is all about. Even though this technology is surrounding us in many forms and we are using AI technology such as AI-based mobile apps in our day-to-day lives but still many people find it hard to believe. According to reports by this HubSpot survey, around 63% people don't realize they are using AI technologies. As Artificial Intelligence is having many associated technologies such as Machine Learning, Deep Learning, Big Data, and Natural Language Processing, etc. it's totally understandable that people get confused. If you are one among them who gets confused with all these terminologies?


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.