is ai hard to learn?
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General AI is hard. It should perform at least as well as a person and should be able to learn directly from the environment, achieve self-awareness and all the other things that people can do. The well known Turing Test is not sufficient anymore.
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Are smarter dogs harder to train? - Quora. If the training is weak and inconsistent, absolutely. Intelligent beings are always harder to control because they are always out thinking their adversary! ... Intelligent dogs that are well-trained are extremely easy to train because they learn so quickly.
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Artificial intelligence will transform the global economy, and AI jobs are in high demand. Getting an education in AI is challenging and requires persistence and personal initiative. AI careers are future-proof, meaning they are likely to survive well into the future.
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No! No language is easy to master. ... Python is often described as one of the easy-to-learn languages out there. While this is true, you must understand that easy-to-learn isn't quite the same as easy-to-master.
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AI is the big thing and (as we learned from our Subaru) it's not just hype, it's real. Well, maybe there is still a bit of hype. But we're beginning to see real function come out of machine learning models and natural language processing and it isn't just marketing fluff.
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Broadly, AI has moved from software that relies on many programmed rules (also known as Good Old-Fashioned AI, or GOFAI) to systems that learn through trial and error. Machine learning has taken off thanks to powerful computers, big data, and advances in algorithms called neural networks.
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Computer Science is a hard discipline to learn. But, if you are motivated and devote sufficient time to studying the discipline, then it is possible to learn Computer Science. Initially Computer Science seems hard because learning to program is challenging. ... However, most of people learn skills step-by-step over time.
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Artificial Intelligence is the broader concept of machines being able to carry out tasks in a way that we would consider “smart”. And, Machine Learning is a current application of AI based around the idea that we should really just be able to give machines access to data and let them learn for themselves.
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ABAP is not a difficult language to learn compared to Java, C#, C++. The difficulty lies more in being able to translate a business requirement/user requirement to a technical solution/code - it is more in the nature of the program/application you are writing rather than in the programming language itself.
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No. Although you could say that many or even most machine-learning algorithms and many AI-related optimization algorithms are “glorified statistics”, you could not say that about machine reasoning, expert systems, knowledge-based systems, and good old fashioned robot control.
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As IT operations become agile and dynamic, they are also getting immensely complex. The human mind is no longer capable of keeping up with the velocity, volume, and variety of Big Data streaming through daily operations, making AI a powerful and essential tool for optimizing the analyzing and decision-making processes.
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Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Most AI examples that you hear about today – from chess-playing computers to self-driving cars – rely heavily on deep learning and natural language processing.
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Artificial intelligence (AI) is wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence.
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While there will be many learning experiences and challenges to be faced as the technology rolls out into new applications, the expectation will be that artificial intelligence will generally have a more positive than negative impact on society.
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For me I think it took me about 1-2 weeks of practicing it daily (during my daily tech skill practice, which is like an hour) before it finally 'clicked' with me. It's very hard to learn, but when you do master it, it's great because the muscle memory will be engrained in you for a looong long time.
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XCode is pretty easy…if you already know how to program. It is kind of like asking “how hard is it to learn a ford car?”, well it is easy if you already know how to drive some other car. Like hop in and drive. It is all the difficulty of learning to drive if you don't.
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SAP falls under the "Easy to learn, hard to master" heading. Because of it's size, there are a lot of people who use it for the day to day (ie: end users). To become better than them not overly difficult. ... SAP is massive, and to really master every facit would take a couple of lifetimes.