Explore the insights from ‘Who’ by Geoff Smart, challenging conventional hiring practices with a systematic approach to talent selection.
How ‘Who’ by Geoff Smart Challenges Conventional Wisdom Read More »
We all like to think that we make rational decisions, that our judgments are sound and unbiased. But what if I told you that our mind is constantly deceiving us? That there’s a battle between our rational and intuitive thinking, and that the latter is often the one that wins? “Thinking, Fast and Slow” by
If you’re looking for a book that will help your teen navigate the challenges of adolescence, look no further than Sean Covey’s 7 Habits of Highly Effective Teens. This New York Times bestseller applies the timeless principles of time management, goal setting, and personal responsibility to the unique challenges and opportunities faced by teenagers today.
7 Habits of Highly Effective Teens Book Review Read More »
Kalman filter has a reputation for its difficulty. Invented by Rudolf E. Kalman in 1960, the Kalman filter is a mathematical technique widely used in Radar, navigation, and control systems. This filter was used in the famous Apollo program of NASA. In the control system, navigation, and other measurement-related application, it is imperative to provide
Gentle Introduction On Kalman Filter (Python Code included) Read More »
In real life, we face various probabilistic events; for instance, nearly 25% of people are getting infected by Covid-19, and there is a 1-3% mortal rate of this disease. It may look intimidating at first glance, but if it is broken down more intuitively, then it would be less scary In mathematics, we have a
Bayes Theorem and It’s Calculation Example Read More »
In all Machine Learning algorithms, linear regression happened to be the most straightforward and easy to understand as it uses the straight line’s formula, which we have learned in the high school mathematics course. But at the beginning of the machine learning course, we start by using the sci-kit learn library, and then our true
Linear Regression From Scratch Read More »
Thanks to advanced machine learning and deep learning algorithms, we see much demand- forecasting research in recent days. Due to the advent of renewable energy, demand forecasting is becoming one of the hot topics. Because of renewable resources’ intermittent nature, it is still not used as a base-load electricity source. So based on the demand
Building A Semi-Automated Electricity Demand Forecasting: A Bangladeshi Case Study Read More »
When doing the load flow study in the Simulink environment, we need to put the transmission line parameters in the Simulink block. In the question, typically, the parameters are given as per unit values. But when we put the values into the Simulink block, we need to put the actual resistance, inductance, and capacitance value
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Question: A company currently ships products from 5 plants to 4 warehouses. The company is considering the option of closing down one or more plants. This would increase distribution cost but perhaps lower overall cost. The company’s objective is to minimize the total cost. Formulate this as an optimization problem to be able to find
Linear Programming in Transportation Problem Read More »
Machine learning is becoming a mainstream data analysis and prediction tool. Though machine learning happens to be a branch of Artificial Intelligence, it is also a subfield of statistics. Nevertheless, it is used in all the fields of science and technology. Electrical engineering is not staying behind in employing this marvelous tool in various applications.
Implementation of Time Series Analysis in the field of Electrical Engineering Read More »