How Levi Garcia landed his first AI engineer role in just one year
From online learning to landing a full-time AI Engineer role — all in just one year. Levi Garcia’s journey is proof that with focus, the right resources, and a growth mindset, real-world success in AI is within reach. We sat down with Levi to uncover how he turned curiosity into career momentum — and transformed […]
Introduction to Neural Network
“On Natural Language Processing, Part of Speech Taggers, Bert and Elmo, Neural Networks, Long Short-Term Memory Networks, Quick Long-Semester Ephemeral Nodes, and Transformers.n” n An introduction to NLPn n Complete the following three-word sentence: Call me ____. n n What popped into your head? Was it “Crazy?”; “Maybe?”; “By Your Name” ; or “Ishmael”? The […]
How to Become an AI Engineer
The ultimate learning path guide detailing all the skills, knowledge and training you need to become a professional AI engineer If you enjoy mathematics, data and computers, then working as an AI Engineer is an exciting career option. AI is an emerging technology that’s still in its relative infancy, but will become more and more […]
AI State of the Art Course
Learn how to build powerful Hybrid AI models using advanced AI toolbox. Create the most powerful AI Models using AutoEncoders, Genetics Algorithms and Evolution Strategies The world of AI is about to be rocked as our new State of the Art course soon reaches an audience near you. The future of AI is going to […]
Artificial Neural Networks – Plan of Attack
Artificial Neural Networks – Plan of Attack (For the PPT of this lecture Click Here) To help you overcome the complexities inherent in Neural Networking, SuperDataScience has developed a seven-stage Plan of Attack, which is hopefully not a precursor to what our creations do when sentience awakens within them. The Neuron Building from up from […]
Artificial Neural Networks – How do Neural Networks Work?
How do Neural Networks Work? (For the PPT of this lecture Click Here) Having already looked at the neuron and the activation function, in this tutorial the deep learning begins on how Neural Networks work. If you have forgotten the structural elements or functionality of Neural Networks, you can always scroll back through the previous […]
Artificial Neural Networks – How do Neural Networks Learn?
How do Neural Networks Learn? (For the PPT of this lecture Click Here) Now we have seen Neural Networks in action it is time to get into deep learning on how they learn. There are two fundamentally different approaches to getting the desired result from your programme. Hardcoding This is where you tell the programme […]
Artificial Neural Networks – Gradient Descent
Gradient Descent (For the PPT of this lecture Click Here) This is a continuation of the last deep learning section on how Neural Networks learn. If you recall, we summed up the learning process for Neural Networks by focusing on one particular area. Reducing the Cost Function The cost function is the difference between the […]
Artificial Neural Networks – The Activation Function
The Activation Function (For the PPT of this lecture Click Here) In this tutorial we are going to examine an important mechanism within the Neural Network: The activation function. The activation function is something of a mysterious ingredient added to the input ingredients already bubbling in the neuron’s pot. In the last part of the […]
Artificial Neural Networks – Stochastic Gradient Descent
Stochastic Gradient Descent (For the PPT of this lecture Click Here) This article is the second in a two-parter covering methods by which we can find the optimal weight for our synapses. Just to remind you, the weights are the only thing we can adjust as we look to bring the difference between our output […]