Python Business Intelligence

Whether it is a research institute, a business giant or a start-up enterprise, all walks of life are vigorously developing or introducing artificial intelligence. Due to insufficient reserves, artificial intelligence talents are now in a gap, and it is very huge.

Machine Learning (ML) studies these patterns and encodes human decision processes into algorithms. These algorithms can be applied to several instances to arrive at meaningful conclusions.

C + + computer vision ccv-based on C language/provides cache/core machine Vision Library, novel Machine Vision Library opencv-It provides C + +, C, Python, Java and MATLAB interfaces, and supports Windows, Linux, Android and Mac OS operating system. General machine learning Mlpack dlib Ecogg Shark Closure Universal machine learning Closure Toolbox-cloj ...

The definition of large data is the collection and analysis of very fine event-driven data in the High-tech field. This involves the derivation of data from the Internet, which is much larger than the analytics capabilities of the Web site. It is also related to sensor data, and for most of the sensor data we have until recently discarded. Now, those data with great value will help us to understand the business operation and interaction with customers. 　　This is the standard that can be called large data. Large data is not only a kind of http://www.aliyun.com/zixun/aggrega ...

The pace of human use of machines to help production has never stopped. To enter the AI ??field, we must first understand the current structural system of the artificial intelligence industry.

Here to find year-end inventory counts 2017 top 20 hot topics in Yunqi Community (with 100+ topic list)

The web-based WebSphere MQ telemetry by (MQTT)-related technology provides a bridge between cloud computing and mobile devices to provide you with reliable network services in a low-bandwidth and unstable mobile internet. Cloud computing, mobile Internet, and IoT are the hottest keywords at the moment, and are the key technologies for future development. Cloud computing can provide people with strong computing power and storage capabilities, can effectively solve the mobile device computing capacity and small storage limitations, however, the real ...

Analysis is the core of all enterprise data deployments. Relational databases are still the best technology for running transactional applications (which is certainly critical for most businesses), but when it comes to data analysis, relational databases can be stressful. The adoption of an enterprise's Apache Hadoop (or a large data system like Hadoop) reflects their focus on performing analysis, rather than simply focusing on storage transactions. To successfully implement a Hadoop or class Hadoop system with analysis capabilities, the enterprise must address some of the following 4 categories to ask ...

From the Silicon Valley firm, to everyone's discussion of the bubble problem, how large data and artificial intelligence combined? What is the prospect of science and technology in the 2015? Dong Fei, a Coursera software engineer from Silicon Valley, sorted out the dry goods and various occasions in his recent Stanford public lectures to share with you. He has a hands-on experience, as well as a detailed analysis of some of the companies that have worked or studied in depth, such as Hadoop, Amazon, and LinkedIn. Dong Fei page Here, the mailbox is Dongfeiwww@gmail ....

Have you ever heard such a statement? An IT senior manager talking about the application infrastructure of the organization. He is optimistic about the "modern" aspects of the Environment: multi-tier client-server systems, WEB-oriented development using languages such as PERL, Python, and Ruby, and service-oriented architectures. If you ask the IT senior manager about the IBM System z Server They are using, the answer may well be dismissive: "Oh, that's our legacy system." The word "Left" listens ...