Assignment Brief And Guidance:

Activity 1

Machine learning aims at replicating the methods used by humans to learn to machines so that they can learn independently and provide necessary outputs. Explain the primary challenges encountered in machine learning tasks and identify the diverse types of machine learning algorithms employed. Provide illustrative examples with explanations of their operational mechanisms. Intelligent Machines are defined as AI systems capable of learning and emulating human behavior and intelligence. Evaluate the pivotal role of machine learning in the development of intelligent machines. Categorize and assess the various machine learning algorithms utilized in this process, citing specific examples.

Activity 2

Locate one or more datasets from kaggle.com or another relevant source related to Robotics, AI, Emerging technologies, or a topic of your choosing. Analyze how mathematics has shaped machine learning and conduct statistical analysis on your chosen dataset. Utilize formulas, functions, descriptive statistics, graphs, and probability through a programming language of your preference. Justify your selection of tools, programming language, and libraries employed, if applicable. Apply machine learning algorithms (e.g., K-Nearest Neighbor, Support Vector Machine, Linear Regression, Decision Tree, Naïve Bayes, K-Means Clustering) to your datasets using an appropriate programming language or machine learning tool. Elaborate on how these algorithms address machine learning challenges and enhance data efficiency. Provide rationale for your choices and demonstrate their potential impact.

Activity 3

The Ukrainian War of 2022 underscored the transformative impact of AI and technologies like Autonomous Drones on modern warfare, highlighting deficiencies in human-operated systems on the battlefield. A critical aspect of battlefield automation involves accurately identifying and categorizing objects—such as distinguishing between enemy, ally, and neutral entities. Ukrainian forces have implemented drone jamming and anti-drone technologies to counter enemy drones. However, challenges arise when distinguishing neutral objects, such as birds, which may inadvertently hinder weapon efficiency due to mistaken identification as hostile drones.

Activity 4

Conduct a critical evaluation and justification of the developmental process, tools, algorithms, programming languages, and libraries employed in your project. Assess the effectiveness of the learning algorithms in accomplishing their designated tasks. Justify your choices by comparing and contrasting alternative learning algorithms, tools, languages, and libraries that could have been utilized instead.