Deep Learning Analytics

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How beginners should learn Web Analytics III: How to start

The intermediary transaction SEO diagnoses Taobao guest cloud host technology Hall "each period one sentence" The life always has the time, I know ... "foreword" is always very popular for the new handwritten article, even knows also has the friend to call me to answer this question.   Today, I also think of myself as a novice, talk about my years of learning experience, these years of work experience, these years industry development and change, and, if you want to engage in this industry, how should adapt to this change. The first chapter of this album Please see here, the second article please ...

How can a novice reader learn how to study Web analytics?

The intermediary transaction SEO diagnoses Taobao guest Cloud host technology Hall Hello, Sidney, likes your blog very much, introduces the information and the sharing experience at the same time, gave me to continue diligently the confidence! Based on what you said in your blog, "WA is not sure to understand the mathematical statistics and web programming, I would say-better understand some." I have a problem that has plagued me for a long time and is here to consult you. In the Internet industry in fact, many people have not studied computer science, for example, I was learning English: (I am a do mar ...

Three branches of artificial intelligence: cognitive, machine learning, deep learning

Artificial intelligence has entered everything – from autonomous cars to automatic emails to smart homes. You seem to get any merchandise (such as medical health, flight, travel, etc.) and make it smarter through the special application of artificial intelligence.

What is machine learning? Why is it so important?

Machine learning is a multi-disciplinary subject that has emerged in the past 20 years and involves many disciplines such as probability theory, statistics, approximation theory, convex analysis, and computational complexity theory.

15 major frameworks for machine learning

Machine learning engineers are part of the team that develops products and builds algorithms and ensures that they work reliably, quickly, and on a scale.

Machine learning has become the cornerstone of large data

Machine learning is almost ubiquitous, and even if we don't call them, they often appear in large data applications. I used to describe some typical big data use cases in my blog. In other words, these applications can provide the best results in "extreme situations".   At the end, I also mentioned the combination of byte-level data capacity, real-time data speed, and/or diversity of multiple structured data. I also listed a list of applications that deliberately avoided "machine learning analysis" during the collection process. The main reason is that while in these use cases machine learning is not primarily ...

The artificial intelligence technology, known for its machine learning, is now at a white-hot stage.

Ai technology, known for its machine learning, is now at a white-hot stage, as we have mentioned many times before. The technology is driving the development of computer vision, language recognition, and text analysis technologies for companies such as Google, Facebook, Microsoft and Baidu, and has become the technology base for many start-ups (some of which have been acquired before the product is released). With the development of machine learning, these successes have received a lot of media attention. But what you're seeing is probably just a superficial phenomenon. Many studies are taking place in those non-large networks ...

4 big macro trends of big data

Today, big data technologies, especially big data analytics, have evolved into an important part of most corporate strategies, and companies are under intense pressure to keep up with the rapid growth of big data.

How big data technology can create greater value

The term “big data” has been on fire for several years. In the last one or two years, the limelight seems to have been taken away by the concepts of artificial intelligence and deep learning, and has gradually become a “out of gas” technical vocabulary.

The core technology, application status and development trend of education big data

The big data field has boomed in recent years. As a segment of big data, education big data has great potential to promote educational change. Big data technology is rapidly evolving, which opens up new possibilities for big data applications.

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