DXC Technology Fresher Recruitment News 2022
Role: Associate Professional Data Analyst
Location: Bangalore
Experience: Freshers(0-1)
Qualification: B.E/B.Tech
Batch: 2020/2021/2022 Batch
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Role: Associate Professional Data Analyst
Location: Bangalore
Experience: Freshers(0-1)
Qualification: B.E/B.Tech
Batch: 2020/2021/2022 Batch
Apply Now: https://www.startupjobsportal.com/2022/08/dxc-technology-fresher-2.html
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DXC Technology Fresher Hiring 2023 For Associate Professional Software Engineer | Bachelorโs degree - Startupjobsportal.com
DXC Technology Fresher Hiring 2023 | DXC Technology Fresher Hiring for Associate Professional Software Engineer in Bangalore location.Bachelorโs degree
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Mahindra Group Inviting Fresher 2022
Role: Data Science Engineer
Location: Across India
Experience: Freshers
Qualification: Any Graduate
Batch: Any Batch
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Role: Data Science Engineer
Location: Across India
Experience: Freshers
Qualification: Any Graduate
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SSGM is hiring International BPO Hiring
Experience : 0 - 2 Yrs
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Experience : 0 - 2 Yrs
Salary : 2.8 LPA + Good Incentives
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AccioJob is an *IIT Delhi* alumni-led company that runs a 6 month Pay after Placement Full Stack Development Training.
Which mean you only pay after you get placed.
Key Highlights of the program:
- You get trained on Data Structure & Algorithms
- 100% Placement Guarantee Up-to 40 Lakhs Per Anum
- Average CTC: 8.3 LPA; Highest CTC: 41LPA
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DATA SCIENCE INTERVIEW QUESTIONS
Q. What is a bias-variance trade-off?
A. If the algorithm is too basic (hypothesis with linear eq. ), it may be prone to errors due to strong bias and low variance. If the algorithms are too sophisticated (hypothesis with a high degree eq. ), the variance and bias may be considerable. The new entries will not fare well in the latter scenario. Trade-off, also known as Bias Variance Trade-off, is something that exists between these two situations. There is a tradeoff between bias and variance because of this tradeoff in complexity. It's impossible for an algorithm to be both more complex and less complex at the same time.
Q. What are the support vectors in SVM?
A. Support vectors are data points that are closer to the hyperplane and influence the position and orientation of the hyperplane. Using these support vectors, we maximize the margin of the classifier. Deleting the support vectors will change the position of the hyperplane. These are the points that help us build our SVM.
Q. Describe different regularization methods, such as L1 and L2 regularization?
A. L1 regularization, also known as L1 norm or Lasso (in regression problems), combats overfitting by shrinking the parameters towards 0. This makes some features obsolete. L2 regularization, or the L2 norm, or Ridge (in regression problems), combats overfitting by forcing weights to be small, but not making them exactly 0.
Q. What is correlation and covariance in statistics?
A. Both covariance and correlation measure the relationship and the dependency between two variables. Covariance indicates the direction of the linear relationship between variables. Correlation measures both the strength and direction of the linear relationship between two variables. Correlation values are standardized. Covariance values are not standardized.
Q. What is a bias-variance trade-off?
A. If the algorithm is too basic (hypothesis with linear eq. ), it may be prone to errors due to strong bias and low variance. If the algorithms are too sophisticated (hypothesis with a high degree eq. ), the variance and bias may be considerable. The new entries will not fare well in the latter scenario. Trade-off, also known as Bias Variance Trade-off, is something that exists between these two situations. There is a tradeoff between bias and variance because of this tradeoff in complexity. It's impossible for an algorithm to be both more complex and less complex at the same time.
Q. What are the support vectors in SVM?
A. Support vectors are data points that are closer to the hyperplane and influence the position and orientation of the hyperplane. Using these support vectors, we maximize the margin of the classifier. Deleting the support vectors will change the position of the hyperplane. These are the points that help us build our SVM.
Q. Describe different regularization methods, such as L1 and L2 regularization?
A. L1 regularization, also known as L1 norm or Lasso (in regression problems), combats overfitting by shrinking the parameters towards 0. This makes some features obsolete. L2 regularization, or the L2 norm, or Ridge (in regression problems), combats overfitting by forcing weights to be small, but not making them exactly 0.
Q. What is correlation and covariance in statistics?
A. Both covariance and correlation measure the relationship and the dependency between two variables. Covariance indicates the direction of the linear relationship between variables. Correlation measures both the strength and direction of the linear relationship between two variables. Correlation values are standardized. Covariance values are not standardized.
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AccioJob is an IIT Delhi alumni-led company that runs a 6 month Pay after Placement Full Stack Development Training, which means ZERO fees till Placement!
Key Highlights of the program:
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- Dedicated Placement Support team
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Eligibility: Graduate, Final Year student of ANY DEGREE
For any queries, you can WhatsApp or call on 8595563221
#AccioJob #AccioJobPayAfterFirstSalary #PayAfterFirstSalary
100% Placement Guarantee Up-to 40 Lakhs Per Annum
See Whatโs the take of AccioJobโs Alumni Namrata Rathore who recently got placed in Searce on 7LPA+ Package, on Pay After Placement Program and his overall experience at AccioJob.
AccioJob is an IIT Delhi alumni-led company that runs a 6 month Pay after Placement Full Stack Development Training, which means ZERO fees till Placement!
Key Highlights of the program:
- You get trained on Data Structure & Algorithms
- Average CTC: 8.3 LPA; Highest CTC: 41LPA
- Dedicated Placement Support team
- Individual mentorship
Apply Now: https://bit.ly/3BJCQqX
Eligibility: Graduate, Final Year student of ANY DEGREE
For any queries, you can WhatsApp or call on 8595563221
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Varian Hiring Fresher Data Privacy Analyst
Role: Data Privacy Analyst
Location: Pune
Qualification: Bachelor's/Master's degree
Batch: Any
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Infosys October Off Campus Drive For 2020/2021/2022 Batch
Role: Specialist Programmer and Digital Specialist Engineer
Location: Across India
Qualification: B.E/B.Tech/M.E/M.Tech/MCA/M.Sc
Batch: 2020/2021/2022 Batch
Last day: 14 October 2022
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Role: Specialist Programmer and Digital Specialist Engineer
Location: Across India
Qualification: B.E/B.Tech/M.E/M.Tech/MCA/M.Sc
Batch: 2020/2021/2022 Batch
Last day: 14 October 2022
Salary: INR 6.25-9.5 LPA
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*๐ Share This Info to your friends & WhatsApp Groups. It Helps Many๐*