AiNxt

11/12/2023

Hi all, We are writing a research paper on "Managerial Decisions Behind Work Integrated Learning Programs."

We have created a brief survey consisting of 25 optional questions, and your responses will remain anonymous. Your valuable feedback will take only about 5 minutes of your time and will play a significant role in shaping the future initiatives in work integrated learning.

Please consider taking a moment to complete the survey. Your participation is highly appreciated, and we are grateful for your contribution.

Survey Link: https://forms.gle/DqHsH5KMZK9YwXe87

09/12/2023

Hi all, We are writing a research paper on "Managerial Decisions Behind Work Integrated Learning Programs."

We have created a brief survey consisting of 25 optional questions, and *your responses will remain anonymous*. Your valuable feedback will take only about 5 minutes of your time and will play a significant role in shaping the future initiatives in work integrated learning.

Please consider taking a moment to complete the survey. Your participation is highly appreciated, and we are grateful for your contribution.

Survey Link:

This survey is intended for anyone who has pursued part-time degree while in a full time job. Responses are anonymous. The survey is designed to gather insights from individuals who have pursued a part-time degree while working full-time, with a focus on understanding the impact of their educational...

03/07/2022

Often interviews related to Machine Learning Jobs focus on testing candidates fundamental knowledge. It turns out that we tend to forgot basic as we keep learning advanced analytics like NLP, Deep Learning, GAN, Transformers etc... It is advisable to revisit basic again before appearing for interview.

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 to job requirements. Data Scientist's are too no exception's. Generally there will be 2 or....

14/04/2022

Gradient Descent revolutionized deep learning world. It made things once impossible to be possible.
Vanilla Gradient Descent works but has limitations. In this article discussed couple of Gradient Descent variants that overcome these challenges.
More to come....

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 & Use of Taylor Series, we discussed a lot. Links for our previous articles to go through: https://ainxt.c...

21/03/2022

Deep Learning is powered by Gradient Descent Algorithm. I failed in interview many times by not able to explain Gradient Descent. In this article i tried to explain working principle of Gradient Descent algorithm in the context of Deep Learning. Do checkout !!!!
https://ainxt.co.in/layman-understanding-of-gradient-descent-algorithm/

17/01/2022

Today i am presenting this article inspired from the Book - "Reckoning with RISK: Learning to live with uncertainty" that teaches us to thing probabilities in terms of frequencies. By this way, we can easily solve the given problem. I wanted to share this knowledge and believe that every data scientist should learn this approach.

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 that helps data science community. Today we wanted to talk about once again important and basic knowledge that every data sci...

28/11/2021

Relations between Target Vs Input Variable is very complex in nature. Deep Neural Networks are good at modeling this complex function and Universal Approximation Theorem gives proof for this. Checkout this article to under about UAT.

Hello Friends, Welcome Back !! In today's article, we wanted to focus on one more important mathematical functions heavily used in Analytical Space - "COMPLEX FUNCTIONS". Similar to our previous articles, heavily focused on mathematics. We highly recommend to go through below links to make yourself....

12/11/2021

Often ML algorithm predicts target variable with probability associated with it and we need to compare the loss with true outcome using Cross Entropy loss function. Checkout this article to understand the math behind Cross Entropy loss function !!

Hello Friends, Welcome Back !! Once again i am excited to come up with another interesting topic in Deep Learning or Machine Learning world - "Information Theory - Cross Entropy" which many of us not aware of its applications & uses. To understand about Cross Entropy loss, we need our basic foundati...

01/11/2021

All Statistical Inference was possible only because of Central Limit Theorem. Check out this article to under the import CLT and it's application on real world problem !!

https://ainxt.co.in/making-statistical-inference-using-central-limit-theorem/

18/10/2021

Do u think Random Sampling is pick the items at random and do inference ? Probably you are wrong. Check out this article to understand the methods for Random Sampling and why Random Sampling is best to estimate population parameter !!

Hello Friends, Welcome Back !! Power of Statistics helps a data scientist to understand the data, make inference with greater confidence. Stats that are produced from sampled data are estimate of hidden iceberg of huge real world data. But these stats should be through properly chosen sampled data.....

11/10/2021

We data scientists study statistics, but not its real world applications. In this article, i have discussed how we can solve employee attritions with the help of Binomial Distributions. This article helps to understand how we can make decisions statistically. Do read and share your feedback.

Hello Friends, Welcome Back !! We continue our efforts to provide good articles that makes you to think & help in your professional career as a Data Scientist. Today we are gonna to deep dive into Business Statistics i.e. with the help of Statistics especially "Binomial Distribution" and solve real....

08/08/2021

ML enthusiast's definitely know about Gradient Descent Rule, but might not bothered about Mathematics behind this. In this article i have exclusively discuss how Taylor Series is applied to derive Gradient Descent Algorithm that every ML models uses especially in Deep Learning Models.

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 analytics and this time i wanted to focus on one of the fundamental mathematic concepts we read during our school days, yet we not sure w...