Machine Learning with Python (Level 1)

IBM’s Machine Learning with Python (Level 1) is a course that dives into the basics of machine learning using Python, an approachable and well-known programming language. Here are some key points covered in the course: Supervised vs. Unsupervised Learning: Understand the difference between these two main types of machine learning methods. Explore how each type […]

Machine Learning & AI: Advanced Decision Trees

LinkedIn Learning’s “Machine Learning and AI: Advanced Decision Trees with SPSS” is a comprehensive online course that delves into advanced concepts related to decision tree algorithms. Led by instructor Keith McCormick, this course is designed for those working towards a deeper understanding of machine learning. Here’s what you’ll explore: Decision Tree Algorithms: Understand how to […]

Machine Learning and AI Foundations: Decision Trees

LinkedIn Learning’s “Machine Learning and AI Foundations: Decision Trees with KNIME” is an online course that provides essential knowledge for understanding and working with decision trees in the context of machine learning. Led by instructor Keith McCormick, this course covers the following key aspects: Decision Trees Essentials: Explore the fundamentals of decision trees, including their […]

Machine-Learning and AI Foundations: Value Estimations

LinkedIn Learning’s “Machine Learning and AI Foundations: Value Estimations” is an online course that focuses on one of the most common types of machine learning algorithms: value estimation. This algorithm automatically estimates values by analyzing related information. For instance, a website can determine the value of a house based on its location and characteristics. In […]

Solving economical and societal problems with AI

The “Solving Economical and Societal Problems with AI” is an on-demand short course offered by Torrens University Australia. This course is designed to provide insights into how artificial intelligence (AI) can be leveraged to address critical challenges related to economics and society. Let’s explore the details: Course Focus: The course delves into the intersection of […]

CS205 : Building with A.I.

The 48-hour course syllabus comprises of 10 units that collectively encompass a range of AI relevant methods and technologies including but not limited to Machine Learning, NLPs, NLG, PL, NNs, Learning Agents, Regression Models, algorithms, Sentiment Analysis and other hues of AI. The training and exam covered a wide gamut of real-world AI acquisition, from […]
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