Welcome back to the “Python Foundations” series! In our previous articles, we explored beginner-level probability and statistics problems to build a strong foundation for machine learning. Now, let’s delve into intermediate level probability and statistics challenges for machine learning that will further enhance your skills in this crucial aspect of data science. Problem 1: Confidence …
Building on the fundamental concepts covered in the initial articles of the “Python Foundations” series, we are excited to continue our exploration with “Python Foundations-3: Progressive Probability and Statistics Challenges for Machine Learning.” In this article, we present a set of beginner-level problems with a slight increase in difficulty, each accompanied by detailed explanations and …
Building on the fundamental concepts covered in the initial article of the “Python Foundations” series, we are excited to continue our exploration with “Python Foundations-2: Beginner Probability and Statistics for Machine Learning.” In this article, we present 10 beginner-level problems, each accompanied by detailed explanations and Python code, aimed at reinforcing your understanding of probability …
Python Foundations-2: Beginner Probability and Statistics Problems for Machine Learning Read More »
In the ever-evolving landscape of machine learning, a profound understanding of probability and statistics forms the bedrock upon which intelligent algorithms thrive. In this inaugural article of the “Python Foundations for machine learning” series, we embark on a journey delving into the fundamental principles of probability and statistics, unravelling their significance in the context of …
In a world saturated with motivational literature, Mark Manson’s “The Subtle Art of Not Giving a F*ck” stands out as a beacon of unfiltered wisdom. Released in 2016, this book provides a candid and pragmatic approach to navigating life’s complexities. Manson challenges traditional self-help narratives, encouraging readers to confront life’s struggles head-on and redefine their …
Spin orbit torque based magnetic random access memory (SOT-MRAM) are non-volatile memory devices which make use of spin based transport electronics named as spintronics. In such devices, capacitors in conventional memory devices are replaced by a trilayer structure called magnetic tunnel junction (MTJ). As spin is non-volatile, it overcomes the charge leakage associated with conventional …
Fundamental Concepts of Spin-Orbit torque based Magnetic RAM Read More »
In many situations, it is desirable to start certain programs or softwares automatically while a computer boots up. In this article we will see few ways we can achieve this objective using some settings in Linux systems. The Bashrc method This is one of the easiest methods to load a program or script while a …
The book titled “Rejection Proof” is written by Jia Jiang. The author had great entrepreneurial aspirations but got stuck to achieve his dreams by the fear of rejection. The author decided to overcome the fear of rejection and in order to achieve it, he designed a plan to take up a challenge he named “100 …
Rethink Rejection and Overcome Fear of Rejection: Book Review of Rejection Proof Read More »
Statistical testing methods are used in machine learning to ensure that a finding is statistically significant. Hypothesis testing most commonly termed statistical testing evaluates two mutually exclusive statements about a population and determines which among the two statements best describe the experimental/sample data. Hypothesis testing is a statistical method to determine whether two samples have …
This article is a review of a pre-release copy of the book “Wrong Fit, Right Fit” written by Dr. Andre C Martin. The book rightly communicates a right fit is similar to that of writing with our dominant hand, it is easy, almost automatic, and results in a readable sentence. On the contrary, the wrong …