Machine Learning with Python: From Linear Models to Deep Learning (training)

Colleagues, this new training program “Machine Learning with Python: From Linear Models to Deep Learning” focuses on the principles behind machine learning problems such as classification, regression, clustering, and reinforcement learning, implementing and analyzing models such as linear models, kernel machines, neural networks, and graphical models, choosing suitable models for different applications, and implementing and organizing machine learning projects, from training, validation, parameter tuning, to feature engineering. Lectures include: 1) Linear classifiers, separability, perceptron algorithm, 2) Maximum margin hyperplane, loss, regularization, 3) Stochastic gradient descent, over-fitting, generalization, 5) Linear regression, 6) Recommender problems, collaborative filtering, 7) Non-linear classification, kernels, 8) Learning features and  Neural networks, 9) Deep learning, back propagation, 10) Recurrent neural networks, 11) Generalization, complexity, VC-dimension, 12) Unsupervised learning and clustering, 13) Generative models, mixtures, 14) Mixtures and the EM algorithm, 15) Learning to control: Reinforcement learning, 16) Reinforcement learning continued, and 17) Natural Language Processing applications. Projects cover: Automatic Review Analyzer, Digit Recognition with Neural Networks, and Reinforcement Learning. 

Enroll today (teams & executives are welcome): https://fxo.co/HO1v 

Download your free AI-ML-DL - Career Transformation Guide.

“Transformative Innovation” book series for your listening-reading pleasure: 

 

1 - ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity (Audible) (Kindle)

2 - ChatGPT - The Era of Generative Conversational AI Has Begun (Audible) (Kindle) 

3 - The Race for Quantum Computing  (Audible) (Kindle) 

Much career success, Lawrence E. Wilson - AI Academy (share with your team)