Cognitive intelligence is a branch of computer science, is the advanced stage of the development of intelligence science, it is based on human cognitive system, to imitate human core capabilities as the goal, to understand, storage, application of information as the direction of research. Based on the deep understanding of perceptual information and natural language information, and guided by the interdisciplinary theoretical system, a new generation of theory, technology and application system of technical science is formed. The core research areas of cognitive intelligence include: 1. The relationship among universe, information and brain; 2. 2. Structure, function and mechanism of human brain; 3. Philosophy system, liberal arts system and science system; 4. Core systems of cognitive integration, intelligence integration, and bi-brain (human brain and computer) integration. Four steps of cognitive intelligence: 1. Cognition of the universe. The supporting theoretical systems include three-body theory (universe, information, brain), Tao theory, ontology, ontology, cognitive theory, fusion theory, HNC and so on. 2. Understand the structure, function and mechanism of human brain. The supporting disciplines include brain science, psychology, logic, emotion, biology, chemistry and so on. 3. Clear the rules of information connotation. Supporting disciplines include semiotics, linguistics, cognitive linguistics, formal linguistics and other disciplines. 4. System landing capability. Supporting disciplines include computer science, mathematics and so on. Interface application website address: www.weilaitec.com  interface address (example) :  a239p06512. Zicp. VIP/Web/BuAppJa…  User message content.  String MSG =” What are you doing?” ;  APIkey parameter. The apikey is the apikey  apikey =””;  // The client IP address, the unique identifier of the end user (the IP address of the end user, the phone number, the wechat number, the QQ number, etc.)  String IP =””;  // Do put encode in place. To GBK.  MSG = URLEncoder. Encode (MSG, “GBK”);  The three parameters are all lowercase  MSG parameters.  The MSG parameter must be encoded as GBK. Otherwise, it will be garbled.  Interface code:  Package ai.nlp. Jiekou.test;  import Java. IO. ByteArrayOutputStream;  import Java. IO. IOException;  import Java. IO. InputStream;  import Java. IO. UnsupportedEncodingException;  import java.net.HttpURLConnection;  import java.net.URL;  import java.net.URLEncoder;  import ai. NLP. Util. Changliang. ChangLiangZi;  public class ApiTest { /** 

  • Get request to Get returned data

  • @param urlStr

  • @return

 */  private static String opUrl(String urlStr)  { URL URL = null;  HttpURLConnection conn = null;  InputStream is = null;  ByteArrayOutputStream baos = null;  try  { url = new url (urlStr);  conn = (HttpURLConnection) url.openConnection();  conn. SetReadTimeout (5 * 10000);  conn. SetConnectTimeout (5 * 10000);  conn. SetRequestMethod (” POST “);  If (conn.getresponsecode () == 200)  { is = conn.getinputStream ();  Baos = new ByteArrayOutputStream();  int len = -1;  byte[] buf = new byte[128];  While ((len = is.read(buf))!  { baos.write(buf, 0, len);  } baos. Flush ();  String result = baos.tostring ();  return result; } else  { throw new Exception(” Server connection error!” ); }  catch (Exception e)  { e.intstackTrace (); } finally  { try  { if (is!  is = null). The close (); } catch (IOException e)  { e.intstackTrace (); }  try  { if (baos! = null)  baos. Close (); } catch (IOException e)  { e.intstackTrace ();  } conn. Disconnect (); }  return ChangLiangZi.WU; }  public static void main(String args []){ //  The // MSG parameter must be coded as GBK; otherwise, it will be garbled.  String MSG =” What are you doing?” ;  //apikey parameter.  String apikey = “UTNJK34THXK010T566ZI39VES50BLRBE8R66H5R3FOAO84J3BV”;  // The client IP address, the unique identifier of the end user (the IP address of the end user, the phone number, the wechat number, the QQ number, etc.)  String IP =”127.0.0.1″;  // Do put encode in place. To GBK.  try  { MSG = URLEncoder. Encode (MSG, “GBK”);  } the catch (UnsupportedEncodingException e) { e.p rintStackTrace ();  } System. Out.println (opUrl (” a239p06512. Zicp. VIP/Web/BuAppJa…). ); } } 

If the job search is life’s obstacle, then the interview is the hardest brick to get over. When you have experienced large and small interviews, you will find that different companies, different interviewers ask the same questions, because the enterprise for talent selection is some common requirements, as long as the interview according to the high frequency of questions prepared in advance, the hit rate is almost 100%! But why are so many skilled and experienced candidates repeatedly rejected in the interview process and never offered a higher salary at the big company they want? As a curious child, I asked some of my colleagues who had experience as interviewers for big companies to find out why these candidates were not favored by HR. First, some of the students seemed to have comprehensive resumes and extensive project experience. However, some basic questions are difficult to answer, which really makes it difficult for the interviewer to trust some of his project experience and technical level. Secondly, although some students have realized their shortcomings, they just search the interview questions on the Internet and find the same answers. Although they can fluently answer with a little memory, it is difficult to stand out in this way. Not knowing how to present your strengths in an interview is one of the biggest stumbling blocks in a job search. So how can this be avoided? Very simple, we just need to answer the question way, thinking to upgrade a level, in a high standard of answer at the same time innovative, so that winning a high salary offer is just like a sure thing! Therefore, we have made a series of sorting out the common problems in the interview of large factories, which are divided into 6 categories, respectively: machine learning, feature engineering, deep learning, natural language processing (NLP), computer vision (CV), recommendation system. These knowledge is not only the interview common questions, but also as you sort out their own ideas of reference, I hope to help you! ~ The answer to these questions, we sorted out a package for you, so far, more than 2000 students who have read this package have successfully got the offer of the desired big factory. At the same time, in addition to these interview questions, we also prepared python programming self-test, machine learning, deep learning self-test for you, you can test your programming ability, and at the same time, you can clearly see the omissions of personal knowledge.