MD FAROOQUE @umarvinci
Data Scientist,Math Enthusiast ...in Search for Truth and Beneficial knowledge , pondering over creations that exists. New Delhi, India Joined May 2017-
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Alex Krainer: Iran as the Graveyard of the American Empire? m.youtube.com/watch?v=ASUeEh…
I have so many questions..!!
Website: eurekalabs.ai GitHub: github.com/EurekaLabsAI 𝕏: @EurekaLabsAI
Just received my certificate for Mastering LLMs: A Conference For Developers & Data Scientists 🙌 maven.com/parlance-labs/…
. @johnowhitaker 's talk: Napkin Math For Fine Tuning was so popular that we ended up doing an encore! He answers q's like: - When should I use LoRA? Quantization? GC? - What’s the cheapest option? most accurate? - What hardware? - What batch size / context length ..etc?
The pre-wedding bash of Ambani’s in Jamnagar, attended by a number of celebrities &high profile individuals from across the world, saw an unprecedented amount of air activity which was handled by the IAF with over 600 flight movements in 5 days! Shocking! thehindu.com/news/national/…
I reported cyber crime at cyber crime police dwarka Delhi.There I met person who suffered Rs 20 crore cyber fraud which he told me hapnd becoz his Adhaar data was stolen.when cyber fraud happens due to adhaar data theft why can't it be blocked to ensure this doesn't happen again
Minister issued a challenge to show discrimination in India. Telegraph accepted the challenge & gave some gross examples (not exhaustive)
🔍 Understanding Broadcast Join vs Spark Join in Apache Spark In the realm of Apache Spark, 'broadcast join' and 'spark join' are two operations that we often encounter. But what's the difference between them? Let's simplify it! 🚀 📡 Broadcast Join is us…lnkd.in/dU-FVCbK
🔍 Understanding Repartition vs Coalesce in Apache Spark In the world of Apache Spark, 'repartition' and 'coalesce' are two operations that often come up. But what's the difference between them? Let's break it down! 🚀 🔁 Repartition is used to increase t…lnkd.in/dSHYz5H8
🔍 Understanding Repartition vs Coalesce in Apache Spark In the world of Apache Spark, 'repartition' and 'coalesce' are two operations that often come up. But what's the difference between them? Let's break it down! 🚀 🔁 Repartition is used to increase t…lnkd.in/drC5c6Ys
🔍 Understanding Repartition vs Coalesce in Apache Spark In the world of Apache Spark, 'repartition' and 'coalesce' are two operations that often come up. But what's the difference between them? Let's break it down! 🚀 🔁 Repartition is used to increase t…lnkd.in/dqYDmhcS
For writing production-level code, documentation is very important. There are three types of documentation: 1. Line-level documentation: Line level documentation is a type of documentation that is added at the line level of code using in-line comments to…lnkd.in/digfe3tT
Many people are confused about p-value. What exactly is P- value in Hypothesis testing? How do you interpret this? I consider the p-value as conditional probability meaning, the P-value is the probability of observing your sample statistics (observed dat…lnkd.in/dJv2yVsX
There are several Hypothesis test that can be performed for population parameters, like : 1. Testing a population mean (One sample t-test). 2. Testing the difference in means (Two sample t-test) 3. Testing the difference before and after some treatment on…lnkd.in/dspYRtex
Confidence intervals (CI) take an aggregate approach towards the conclusions made based on data, as these tests are aimed at understanding population parameters (which are aggregate population values). Alternatively, machine learning (ML) techniques tak…lnkd.in/deabZRST
The Central Limit Theorem is one of the most important theorems in statistics. It says that the distribution of the sample means will approach a normal distribution, regardless of the underlying distribution of the population, as the sample size gets lar…lnkd.in/dEWHJxEV
The world of Education will not be same as before. Those who use AI to augment education/learning will exponentially move in the field and shape the direction. #ai #education
There are many financial assets where ARIMA models can be used. The ARIMA (Autoregressive Integrated Moving Average) model is a time series forecasting model that involves three key components: autoregression (AR), differencing (I), and moving average (MA…lnkd.in/drqPhaD8

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