How To Start Learning Data Science

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Ai Daniel's New Year revelation: The future depends on unsupervised learning, natural language processing

The past spring Festival has allowed programmers to have a rare holiday break, but artificial intelligence in the holiday has been improving, we saw the Facebook AI director Yann LeCun, the Hong Kong University of Science and Technology, Director of the Department of Computer and Engineering Yangqiang and other artificial intelligence Daniel's cool thinking about the upsurge of artificial intelligence, Google has also seen the development of artificial intelligence gaming systems that transcend human levels in specific conditions.   Here's a look at the new Year's inspiration from Daniel's artificial intelligence. Yann LECUN:IBM True North is "the straw race science" ...

What do machine learning practitioners do

The scarcity of machine learning talent and the company's commitment to automating machine learning and completely eliminating the need for ML expertise are often on the headlines of the media.

2013 Breakthrough Science and Technology "deep learning"

In July 2012, Rey Kuzwer with Google CEO Larry Page when he wasn't looking for a job. Kurzweil, the famous mechanical intelligence, told Paige that he had studied the whole computer system, and that he had a preliminary plan to start a company to build such computers. He refers to a computer that is capable of understanding the language himself, making inferences and making his own decisions. To complete this work, it is natural to use Google's data and computing power. "I can help you ...

How to start learning Data Analysis Overview and case study of SEO

Intermediary transaction http://www.aliyun.com/zixun/aggregation/6858.html ">seo diagnose Taobao guest cloud host technology Hall often someone asked me to help you simply say SEO related data analysis How to do, and even expect a few hours of crash.   However, this area covers too much, it is impossible to words to do, also do not know where to simply summarize. SEO is a very immature industry, can refer to the information is very limited, most things have to pass ...

2013 Breakthrough Science and Technology "deep learning"

In July 2012, Rey Kuzwer with Google CEO Larry Page when he wasn't looking for a job. Kurzweil, the famous mechanical intelligence, told Paige that he had studied the whole computer system, and that he had a preliminary plan to start a company to build such computers. He refers to a computer that is capable of understanding the language himself, making inferences and making his own decisions. To complete this work, it is natural to use Google's data and computing power. "I can help you ...

Sift Science uses large data to guard against cyber fraud

Existing network payment and network transaction fraud prevention system is too complex, also can not effectively eliminate network fraud, Sift science, such as start-up companies began to use machine-learning based on large data analysis to prevent network fraud. For large data analysis, network security is a potential application field. With large data analysis, the attacker's pattern can be screened to be more proactive in defending against network attacks, rather than a known attack pattern that can only be prevented as a traditional security defense. Active defense of this site: Large data triggered by the information Ann ...

How to choose an open source machine learning framework

Open source machine learning tools also allow you to migrate learning, which means you can solve machine learning problems by applying other aspects of knowledge.

Deep learning reproduces the turning point of development

Advances in deep learning and related machine learning have played a key role in the recent achievements of artificial intelligence, which have made it unnecessary for computers to explicitly program, but to “absorb and analyze” large amounts of data to complete self-training.

Data mining and machine learning interview questions

Today, I will share all the questions I encountered during the interview and share how to answer them. Some of these questions are relatively normal and have a certain theoretical background, but some are very innovative.

How to choose the appropriate machine learning algorithm

Machine learning is a combination of art and science. No machine learning algorithm can solve all the problems. There are several factors that can influence your decision to choose a machine learning algorithm.

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