Balaji Venkatesh, Author at Ai Nxt

Questions that failed me in Machine Learning Interview – Part1 !!
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Questions that failed me in Machine Learning Interview – Part1 !!

Balaji Venkatesh2022-06-28T09:15:59+05:30June 26th, 2022|Categories: Machine Learning, Machine Learning Interview, Optimization|Tags: decision tree, Entropy, Gini Index, interview questions, Logistic Regression, Machine Learning, Machine Learning interview questions, python, standardization|

Hello Friends, Welcome Back !! We all know "Interviewing" is important steps in candidate selection by any organization. It helps interviewer to evaluate candidate's skills, experience and personality related [...]

Variants of Gradient Descent Algorithm – Part 1 !!
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Variants of Gradient Descent Algorithm – Part 1 !!

Balaji Venkatesh2022-04-10T22:41:57+05:30April 10th, 2022|Categories: Deep Learning, Dense Neural Network, Gradient Descent, Optimization|Tags: Deep Learning, Gradient Descent Algorithm, Momentum Based Gradient Descent, Nesterov Accelerated Gradient Descent, Optimization|

Hello Friends, Welcome back !! In last couple of articles, we are getting deeper in "Deep Learning" concepts. Starting from Universal Approximation Theorem, How Gradient Descent Algorithm works & [...]

Layman Understanding of Gradient Descent Algorithm!!
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Layman Understanding of Gradient Descent Algorithm!!

Balaji Venkatesh2022-03-20T22:39:58+05:30March 20th, 2022|Categories: Deep Learning, Dense Neural Network, Gradient Descent, Taylor Series|Tags: Deep Learning, DNN, Gradient Descent, Gradient Descent Algorithm, Machine Leaning, Softmax|

Hello Friends, Welcome Back !! Our first post for the Year - 2022 :). After much thought, i decided to write about common interview question to "Explain about How [...]

Rethinking Probability problem using Natural Frequencies !!
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Rethinking Probability problem using Natural Frequencies !!

Balaji Venkatesh2022-01-16T20:06:43+05:30January 16th, 2022|Categories: Bayes Theorem, Data Science, Probabilities, Probability|Tags: Bayes theorem, Conditional Probabilities, Natural Frequencies, Natural Frequency, Probabilities, Probability|

Hello Friends, Welcome Back !! Happy New Year 2022🙂 After a short break, we are back on sharing our knowledge. As always, we are committed towards writing quality articles [...]

Learning Complex Functions using Universal Approximate Theorem
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Learning Complex Functions using Universal Approximate Theorem

Balaji Venkatesh2021-11-28T20:19:46+05:30November 28th, 2021|Categories: Complex Functions, Dense Neural Network, Sigmoid Functions, Uncategorized, Universal approximation Theorem|Tags: Activation Functions, Complex functions, Dense Neural Network, DNN, Neural Network, Universal Approximation Theorem|

Hello Friends, Welcome Back !! In today's article, we wanted to focus on one more important mathematical functions heavily used in Analytical Space - "COMPLEX [...]

Hidden Facts of Cross Entropy Loss in Machine Learning World !!
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Hidden Facts of Cross Entropy Loss in Machine Learning World !!

Balaji Venkatesh2021-11-10T21:22:55+05:30November 10th, 2021|Categories: Classification algorithms, Cross Entropy Loss, Deep Learning, Logistic Regression, Loss Function|Tags: Classification ML Models, Cross Entropy Loss, Deep Learning, Information Content, Information Theory, Kl divergence, Machine Learning|

Hello Friends, Welcome Back !! Once again i am excited to come up with another interesting topic in Deep Learning or Machine Learning world - [...]

Making Statistical Inference Using Central Limit Theorem
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Making Statistical Inference Using Central Limit Theorem

Balaji Venkatesh2021-10-31T13:28:48+05:30October 31st, 2021|Categories: Applied Statistics, Central Limit Theorem, Confidence Interval, Distributions, Random Sampling, Sampling Process, Statisitcs, Statistical Inference, statistics|Tags: Area Under the Curve, Central Limit Theorem, Normal Distribution, Population parameter, Random Sampling, Standard Error, Statistical Inference, Statistics|

Hello Friends, Welcome Back !! We are excited to deliver quality contents in Data Analytics field through our blog posts. We are talking lot about [...]

How to do Sampling through Random Sampling Process !!
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How to do Sampling through Random Sampling Process !!

Balaji Venkatesh2021-10-18T18:43:40+05:30October 17th, 2021|Categories: Applied Statistics, Random Sampling, Sampling Process, standard deviation, Statisitcs, statistics|Tags: Normal Distribution, Population Parameters, Random Sampling, Sampling, Statistical Interference, Stats|

Hello Friends, Welcome Back !! Power of Statistics helps a data scientist to understand the data, make inference with greater confidence. Stats that are produced [...]

Applied Statistics – Using Binomial Distribution for Employee Attrition !!
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Applied Statistics – Using Binomial Distribution for Employee Attrition !!

Balaji Venkatesh2021-10-18T18:38:07+05:30October 11th, 2021|Categories: Applied Statistics, Binomial Distribution, Distributions, Random Variable, Statisitcs, statistics|Tags: Applied Statistics, Binomial Distribution, Expected Value of Expected Values, Expected Values, Probability, Random Variable, Statistics|

Hello Friends, Welcome Back !! We continue our efforts to provide good articles that makes you to think & help in your professional career as [...]

Importance of Taylor Series in Deep Learning Models !!
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Importance of Taylor Series in Deep Learning Models !!

Balaji Venkatesh2022-03-20T19:47:53+05:30August 8th, 2021|Categories: Deep Learning, Gradient Descent, Loss Function, Mathematics, Optimization, Taylor Series, Trigonometry|Tags: Deep Learning, Gradient Descent Rule, Machine Learning Optimization, Mathematics, Optimization, Taylor Series, Trigonometry|

Hello Friends, Welcome Back !! I took some time to choose an interesting topic for our readers to benefit. We have been talking around in general topic related to [...]

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