I'm Love co-creating as engineering manager, community leader, and coach. I serve in LibertyIT (Liberty Mutual Insurance) and Yebokola. Balderdash offers my perspective on Consider starting with the Hello World post.
Explore the transformative power of coaching, a forward-focused practice designed to enhance emotional and spiritual intelligence, foster self-discovery, and build capacity for meaningful action. This post delves into the core principles of coaching, its role in personal and spiritual development, and real-world examples of coaching inquiries.
The duty we owe to our personal development is to honestly know who we are and how we pitch up for ourselves in every moment. It is for this reason that I have integrated this inquiry into my mindfulness practice. Putting three questions to myself several times throughout the day has accelerated my personal development, and I offer them to you as a development tool.
According to Patric Lencioni (author of Five dysfunctions of a Team), organizations fail to achieve teamwork because they unknowingly fall prey to the five natural but dangerous pitfalls: lack of trust, fear of confrontation, lack of commitment, lack of accountability, and lack of focus on goals. If one of these dysfunctions is present in a team, it results in poor team performance.
Thanks for visiting the Hello World post for my new blog. I created this blog primarily as a means to develop my creative self-expression. I suspect it will reflect my journey as a seeker of Truth and my perspective on Truth.
Discover how organisational and social design create adaptive frameworks that align tasks, foster collaboration, and empower people to navigate complexity and achieve sustainable success.
Neural networks are inspired by the way biological neurons in the human brain process and transmit information. Each neuron adjusts its sensitivity to inputs, contributing to the brain's overall computational power. Artificial neural networks, particularly models like the perceptron and multilayer perceptron (MLP), replicate this process. In an MLP, nodes are organized into layers—input, hidden, and output—where each node computes weighted inputs to produce outputs. The network's predictive power relies on the specific weighting of connections between nodes, enabling it to approximate any continuous function. Training the network, especially using the backpropagation algorithm, is essential for optimizing these weights, allowing the network to learn from data effectively. This process of learning through weight adjustment is what gives neural networks their ability to perform complex tasks and make accurate predictions.
