As a technology professional, I’m always on the lookout for ways to improve my skills and stay up-to-date with the latest trends in the industry. So, when I heard about the AIBridge Machine Learning Bootcamp, I jumped at the chance to enroll. I always wanted to learn AI/ML and since this was a free 4-day weekend course it worked well for me. This BootCamp covered Python concepts for AI/ML, types of AI algorithms, and linear regression, logistic regression, decision trees, and more using IRIS & Wine datasets and Pandas, Matplotlib, and Scikit libraries. But let me tell you, learning advanced Python and machine learning was not easy, even for a seasoned technology professional like myself.
The BootCamp started with Python concepts for AI/ML, and I thought to myself, “I’ve got this. I’ve been using Python for years.” But boy, was I in for a surprise. The instructors used funny examples to explain the syntax, data types, loops, and functions. They talked about cats getting stuck in infinite loops, and I couldn’t help but chuckle. However, as the BootCamp progressed, the examples became more complex, and at times I found myself struggling to keep up.
The next challenge was to understand the different types of AI algorithms – Supervised, Unsupervised, and Reinforced Learning. This was where I realized that I had a lot to learn. The instructors used examples like predicting the quality of wine based on its acidity, sweetness, and other factors, or predicting the species of a flower based on its petal and sepal measurements. The students struggled with coding and math, but the instructors were patient and encouraging. They also explained the math behind the algorithms, such as linear regression and logistic regression. To make it more fun, they used examples like predicting the price of a house based on the number of bedrooms and bathrooms. I noticed that some participants who did not have advanced math education, struggled to grasp the concepts.
Finally, it was time for the students to apply what they had learned. The BootCamp had several lectures and labs on Linear Regression, Logistic Regression, Decision Trees, and more, using IRIS & Wine datasets and Pandas, Matplotlib, and Scikit libraries. This was the most challenging part of the BootCamp for most participants. The labs and assignments required coding and math skills. Most participants found themselves constantly referring back to the lectures and struggling to understand the concepts.
But, despite the challenges, I found the AIBridge ML BootCamp to be an incredibly rewarding experience. The instructors were patient and encouraging, and they managed to make a challenging subject like Python and machine learning fun and as easy to understand as possible. The labs and assignments were challenging, but they pushed me out of my comfort zone and forced me to learn new skills. I also appreciated the fact that the BootCamp was free, making it accessible to anyone who wanted to learn.
Long story short, the AIBridge ML BootCamp is a great resource for anyone looking to get started in Artificial Intelligence and Machine Learning. It may be challenging, but the instructors manage to make the subject fun and accessible. As a senior technology professional, I found the BootCamp to be a great way to brush up on my skills and learn new ones. So, if you’re up for a challenge, I highly recommend this BootCamp. But be warned, learning machine learning can be a rollercoaster ride, so buckle up and enjoy the ride!