$1)$From my understanding, Machine learning $($ML$)$ is a branch of artificial intelligence $($AI$)$ that focuses on developing algorithms and statistical models that enable computers to learn from data and make predictions or decisions without being programmed to do so$.$ The basic idea underlying machine learning is to allow computers see patterns, relationships, and insights in data and then employ that understanding to gradually get better at a particular task$\mathrm{.}2)$Of the various machine learning tools available online for tasks ranging from data preprocessing to model deployment, one tool that stands out for me is Colaboratory by Google, also known as Google Colaboratory. Colaboratory by Google $($Google Colab in short$)$ is a Jupyter notebook based runtime environment which means that it is built upon Jupyter Notebooks and allows users run code entirely on the cloud and its free. The colaboratory tool is a free, cloud$-$based platform provided by Google that enables users to write and execute Python code in a collaborative environment. It offers access to a virtual computer that supports both GPU and TPU. Colab is one popular tool among the machine learning community due to its ease of use and the ability to leverage Google's powerful computing resources$\mathrm{.}3)$The problem of bias in algorithms is a major machine learning concern that many people have and I share this concern as well. Machine learning models are trained on historical data, and they have the potential to reinforce and even magnify societal disparities or prejudices present in the training set. This may lead to unjust and discriminatory consequences, especially when it comes to financing, hiring, and law enforcement.