100 Days of ML — Day 1 — My Journey So Far

My last day at Lenovo was as frightful as it was exciting. I was leaving the entire social network I had painstakingly built over the prior six years to venture forth into Florida. I had promised my way San Diego, California some time before we had gotten married, but the numbers kept getting worse every year. So on we went, packing as much into our deceptively large hatchback as possible and headed to the Sunshine State, where the future waited for us.

I sent a lengthy thank you e-mail to all of my colleagues detailing all of the help they had given me and what my plans were when I got down to Florida. At the time, I co-owned a military media company that specialized in podcasts and YouTube shows. My plan was to pursue more podcasting, more YouTubing, start Instagramming, start Twitching, and, to hedge all of my bets, start learning about this crazy AI thing.

Within four weeks, I was watching every Siraj, SentDex, and Two Minute Papers video I could find. I was researching NLP, NLTK, and Word2Vec. I was watching the flame wars among Tensorflow, Keras, and PyTorch. I was taking online courses and writing neural networks. I had a massive taste for recurrent neural networks, but found convolutional neural networks easy. I couldn’t wait for instruction on generative adversarial networks. Everything was going great.

Hurricane Irma caused a major disruption into my studies. I could no longer pay for the courses to continue my academic research and I could no longer save for the sweet Linux machine that was going to allow me to unlock the secrets not only of my comedy writing, but the comedy space in general.

Running low on funds and not owning a car, I had to take minimum wage work to survive, further disrupting my studies.

In March, I was invited to interview attendees and major players at Synapse, a Florida based event that showed off the ecosystem of Florida: cybersecurity, blockchain, robotics, AI, cryptocurrency. It was a smorgasbord of future talk. It planted the seeds of connectivity, but it just wasn’t the same as learning the intuition and implementing it through code.

Fast forward to July and I’m heavily involved in the podcast space, about to make a move in to YouTube, when the itch for AI came back.

And the timing couldn’t have been better.

Siraj Raval, one of the most entertaining thought leaders and AI hypergeniuses in the machine learning space, decided to speed things up. He built a community in his concept, “The School of AI”, needing deans in every major city.

I’ve long thought that an “AI Playground” and an “Absolute Beginners Course in AI” would do very well in this space. The course I can do. The playground’s rougher, but easier now that JavaScript supports TensorFlow.

For these next 100 days, I’m making it a point to become a subject matter expert on AI and let people in the business space know what’s to come.

As I stated, Synapse laid the foundation for me to connect people in this space. I’m watching what my friends in Houston and DC are doing and it’s amazing.

It’s time for us to talk about this. Let’s build the future.

Jimmy Murray is a Florida based comedian who studied Marketing and Film before finding himself homeless. Resourceful, he taught himself coding, which led to a ton of opportunities in many field, the most recent of which is coding away his podcast editing. His entrepreneurial skills and love of automation have led to a sheer love of all things related to AI.





Source: Deep Learning on Medium