A deep understanding of deep learning (with Python intro)
Master deep learning in PyTorch using an experimental scientific approach, with lots of examples and practice problems.
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Udemy · 14 Coupons
Verified 14 Statistics, Signal Processing courses from Mike X Cohen on Udemy — checked against Udemy before listing, updated October 2026.

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Master deep learning in PyTorch using an experimental scientific approach, with lots of examples and practice problems.
A rigorous and engaging deep-dive into statistics and machine-learning, with hands-on applications in Python and MATLAB.
Build and train LLM NLP transformers and attention mechanisms (PyTorch). Explore with mechanistic interpretability tools
Applications-oriented instruction on signal processing and digital signal processing (DSP) using MATLAB and Python codes
Learn the Fourier transform in MATLAB and Python, and its applications in digital signal processing and image processing
Learn signal processing and statistics using brain electrical data with expert instruction and code challenges in MATLAB
Learn how to use ChatGPT to analyze data, and to build expertise in data science, math, coding, and statistics
Develop a deep understanding and intuition for calculus. Solve problems and implement algorithms by hand and in Python.
Learn and apply cutting-edge data analysis techniques for "big neurodata" (theory and MATLAB/Python code)
Learn why, when, and how to maximize the quality of your data to optimize data-based decisions
Leverage ChatGPT for precision writing, enhanced communication, and accelerated academic performance
Improve your digital image processing and image processing programming skills in MATLAB. And have fun in the process!
Theory, numerical approximations, intuition, and visualization in integral calculus. Enhance your math-coding skills.
Learn R, data analysis, visualization, inference, and regression through real-world statistical practice.
Mike X Cohen currently has 14 verified coupons on CoursesWyn across Udemy.
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