Learn Binary Search in this exciting guide!

Last Updated: October 16, 2020

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Right before we begin, if you missed out on the previous episode, here’s Kadane’s Algorithm:

Preface

Part 1: The Concept of Searching


Learn all about Kadane’s Algorithm in this fun and exciting guide!

Last Updated: October 10, 2020

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Right before we begin, if you missed out on the previous episode, here’s Floyd’s Cycle Detection Algorithm:

Problem: Maximum Subarray Problem

Given an integer array nums, find the contiguous subarray (containing at least one number) which has the largest sum and return its sum.

Example 1:

Input: nums = [-2,1,-3,4,-1,2,1,-5,4]
Output: 6
Explanation: [4,-1,2,1] has the largest subarray sum = 6.

Example 2:

Input: nums = [-2147483647]
Output: -2147483647

Understanding the Problem


Learn about Floyd’s Cycle Detection Algorithm!

Last Updated: March 8, 2021

Source

Right before we begin, if you missed out on the previous episode, here’s the Euclidean Algorithm article:

The Problem Statement

Given a linked list, determine if it has a cycle in it.

To represent a cycle in the given linked list, we use an integer pos which represents the position (0-indexed) in the linked list where the tail connects to. If pos == -1, then there is no cycle in the linked list.

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Example…


Learn all about the Euclidean Algorithm and how to implement it in this fun and exciting illustrated guide!

Last Updated: September 18, 2020

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Review: Greatest Common Divisor (GCD)

Factors of 21: 1, 3, 7, 21

Factors of 28: 1…


Hello world, it’s Aaron!

In this article, we will be installing NVIDIA CUDA and TensorFlow GPU 2.2.0-rc2!

Image Copyright TensorFlow.


Overview

Image Copyright Udacity.

Tip #1: Read Udacity’s Project Rubrics!

Tip #2: Time Management


This is the first part of the 2 part series by Aaron Ma on the summary of Hands-On ML.

Pinterest image. Copyright Aerolien Geron and respective authors.

So you may have come across the image on the left: Hands-on ML with Scikit-Learn, Keras & TensorFlow by Aurelien Geron. I’ve just finished reading his book, and I’ve decided to create a neat little summary of his book.

I. The Fundamentals of Machine Learning

  • What ML is, the difference between Traditional Learning and ML, etc.
  • Typical steps in training…


Hello world, it’s Aaron! Today I’ll be talking about TensorFlow 2’s amazing tf.tpu API.

NOTE: The version of TensorFlow I’m using is TensorFlow 2.1. The Python version I’m using is 3.7. I’ll also periodically update the TensorFlow & Python version used here to match the most recent releases.

Image copyright TensorFlow

What is TensorFlow?

What is TPU?


Copyright by Brilliant.

A few days ago, I received Brilliant from a friend. I practiced solving some problems on Brilliant with the Premium subscription, and I loved it! Here’s my recap & review of Brilliant Premium. Finish reading this to get a discount on Brilliant Premium!

What is Brilliant?


Copyright The Audiopedia

Hello, world, it’s Aaron! In this blog, I’ll be talking about an in-place algorithm, which modifies data structures or objects outside of its stack frame. An out-of-place function does not make any changes that are visible to other functions. Usually, these functions copy data structures or objects before it manipulates or changes them. Let’s take a look into this with some examples.

Thanks for reading and have a great day!

-Aaron Ma https://aaronhma.com

Aaron Ma

Living in The Milky Way 😀

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