Shivang Shrivastav – Medium

Shivang Shrivastav

Bernoulli vs Binomial: Understanding the Key Differences in Probability Distributions

From Coin Tosses to Success Counts: Navigating Two Fundamental Distributions

Oct 15

Bernoulli vs Binomial: Understanding the Key Differences in Probability Distributions

Oct 15

Probability Distributions Made Easy: Improve Your Decision-Making

An intuitive guide to choosing the right distribution for your data and making better decisions.

Oct 14

Probability Distributions Made Easy: Improve Your Decision-Making

Oct 14

Reinforcement Learning: Model-Based vs Model-Free Approaches

Understanding the Fundamentals of Reinforcement Learning and Choosing the Right Approach

Oct 14

Reinforcement Learning: Model-Based vs Model-Free Approaches

Oct 14

Navigating Reinforcement Learning: Policy Probability and State Transition Probability

Unlocking the Building Blocks of Reinforcement Learning

Oct 14

Navigating Reinforcement Learning: Policy Probability and State Transition Probability

Oct 14

P-Value and Null Hypothesis: A Comprehensive Guide

What is P-Value and the Invisible part of Null Hypothesis

Sep 15

P-Value and Null Hypothesis: A Comprehensive Guide

Sep 15

Bellman Equation and Value iteration in Dynamic Programming

What is Bellman Equation. Value iteration explained in detail.

Sep 15

Bellman Equation and Value iteration in Dynamic Programming

Sep 15

Antenna Parameters — Part 2

Antenna Field Zones, Radiation Efficiency, Antenna Design Case Study, Directivity, Beam Solid Angle, Gain, Radiated Power, Antenna…

Sep 15

Antenna Parameters — Part 2

Sep 15

Antenna Parameters — Part 1

major lobe, minor lobe, HPBW, FNBW, Azimuth, elevation, radiation density, radiated power, beam efficiency, stray factor, radiation pattern

Sep 15

Antenna Parameters — Part 1

Sep 15

On Policy Vs Off Policy in Monte Carlo Method in Reinforcement Learning

Difference between on-policy and off-policy for MCM

Sep 8

On Policy Vs Off Policy in Monte Carlo Method in Reinforcement Learning

Sep 8

Markov Decision Processes: A Guide to Dynamic & Monte Carlo Methods

Exploring the Relationships between MDPs, Dynamic Programming, and Monte Carlo Simulations

Sep 8

Markov Decision Processes: A Guide to Dynamic & Monte Carlo Methods

Sep 8

Shivang Shrivastav

Shivang Shrivastav

I am an A.I enthusiast. Passionate about learning Deep Learning and it’s applications. “Inquisitive by mind and Explorer by soul”, This is my approach.

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