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Wednesday 6 December 2023

Qualcomm India Private Limited| 2023,2024|GET

 


Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Hardware Engineering


Minimum Qualifications:

• Associate's degree in Computer Science, Electrical/Electronic Engineering, Engineering, or related field.

Must have educational background in one or more of the following areas:

Verifying SoC with embedded RISC/DSP processors, communications/ networking ASICs.
• Verilog or VHDL, C/C++, Tcl/Perl/shell-scripting. RTL design experience and/or strong OO programming knowledge
• Knowledge of wireless/wired communications and protocols or graphics/video multi-media is a plus.
• Knowledge in PLL, LNA, OpAmp, CMOS, ADC/DAC, Cadence, SpectreRF, or Layout is required in RF/Analog/Mixed Signal IC Design.
• Excellent analytical and problem solving skills.
• Ability to collaborate and work in teams.
• Good verbal and written communication skill

Preferred Qualifications:

•    Bachelor's degree in Computer Science, Electrical/Electronic Engineering, Engineering, or related field.




Registration Link : Click Here

Friday 1 December 2023

Innovaccer | 2019,2020,2021, 2022 and 2023 only.|Data Engineer






Your Role

As an Apprentice- Data Engineer, you will be an integral part of our Data Engineering  team, working towards transforming and analyzing healthcare data to contribute to the enhancement of population health and the reduction of healthcare costs. This role offers a unique opportunity for a self-starter with a passion for data engineering to learn and grow within a dynamic and innovative environment.



What You Need

  • B.E/ B. Tech/ M. Tech  in computer science , or related field of batch 2019,2020,2021, 2022 and 2023 only.
  • Must be available  for apprenticeship tenure of minimum 1 year.
  • Basic understanglading of data modeling concepts.
  • Exposure to SQL and the ability to write simple queries.
  • Eagerness to learn and work with Python libraries, such as Numpy, Scipy, Scikit-Learn.
  • Interest in BI tools like Power BI, Tableau, or Sisense.
  • Strong analytical and problem-solving skills.
  • Excellent oral and written communication skills.
  • Enthusiasm for multitasking and managing multiple tasks simultaneously.


Registration Link: Apply





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Material
Deep Learning





Deep learning  CNN    


Monday 27 November 2023

Deep Learning Recorded Sessions (UNIT -3) Regularization

#UNIT -2 ( Deep Learning PCA)

#UNIT-3 (Fundamentals of Deep Learning)

#UNIT -3 Regularization (Introduction, Parameter Norm penalties, Constraint based, Under constraint based penalization) 

#UNIT -3  Regularization (Data Augmentation, Noise Robustness)

#UNIT-3   Regularization (Multi Tasking, Early Stopping, Sparse Representation, Bagging and Other Ensemble models)

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Material
Deep Learning





Deep learning  CNN    






Monday 13 November 2023

Accenture Questions and Answers with Explanation










 

 

 

 

Answer D. 120

 

Explanation:

6/5*3/2 *x = 216

X = 216*2*5/6*3 = 2160/18 = 120 24. 15 32 60 122 240 ?

A. 488

B. 482

C. 364

D. 362

 

Answer B. 482

Explanation:

15 * 2 + 2 = 32

32 * 2 4 = 60

60 * 2 + 2 = 122; 122 * 2 4 = 240

Then 240*2 + 2 = 482

 

25. 18 10 8 9 11.5 ?

 

A. 10.75

B. 18.75

C. 19.75

D. 14.75

 

Answer D. 14.75

Explanation:

18 / 2 + 1 = 10

10 / 2 + 3 = 8

8 / 2 + 5 = 9

9 / 2 + 7 = 11.5

11.5 / 2 + 9 = 14.75