Your Tech querries at Technical world

 Hello, This is Jaya. On this page, I will share my interview experience in Wipro. Basically, there are two rounds in this company:               1. Written-test  2. Business communication round 1. Written-test:  It was first-round there were three sections in this round.  The first section having multiple-choice questions related to apti, reasoning, and verbal. The second section had two coding questions, my first question was related to the Fibonacci series and the second was related to the easy hashmap problem. The third section contains essay writing. They have given an easy topic and I had to write 200 words essay on it. 2. Bussiness communication round :  After qualifying written round this interview happened. it was a combination of HR+ Commincation+technical round . My interview was 15 minutes long. Tell me something about yourself? what is JDK? What tools are present in JDK? What are JRE and JVM? Concept and use of JDK...

 Accolite digital  Interview experience: Hello, This is jaya. I want to share my interview experience of Accolite digital (hiring process) It was a diversity hiring challenge. I got this opportunity through She codes. There were five rounds. Technical written interview (Gaming assessment) Coding round (code analyzer) Technical interview -1 Technical interview-2 H R interview                                           1. Technical written Round :      This round was conducted on the Eduthrill platform. there were 30 MCQ questions, we had to solve them in 30  minutes. All questions were based on DSA, time and space complexity, OS, DBMS, pseudo-code, apti, and COA. Level was easy to moderate. 2. Coding Round:        This round also happened on the Eduthrill platform. We can not switch coding language, it was fixed, they gave us a coding ...

  Unit 1: History of Deep Learning, McCulloch Pitts Neuron, Thresholding Logic, Activation functions, Gradient Descent (GD), Momentum Based GD, Nesterov Accelerated GD, Stochastic GD, AdaGrad, RMSProp, Adam, Eigenvalue Decomposition. Recurrent Neural Networks, Backpropagation through time (BPTT), Vanishing and Exploding Gradients, Truncated BPTT, GRU, LSTMs, Encoder Decoder Models, Attention Mechanism, Attention over images. Deep learning : thinking like human or mimic how human brain                                  learn through neural network,various layers-                           input layer-----hidden layers----output layers History :    1960 -   continuous Back Propagation  1965- models with polynomial  (non linear) 1970-   first AI winter , 2001- three-dimensional,big data 2009-...