The second post in a series about image processing in Python with #numpy, #scipy, and #skimage. There are some basic thresholding approaches, that poorly segment a target object, but notable creepify a sample image. https://t.co/3ETgKmTiXt
@JessMead7@PhDVoice The most important skill in Academia is grant application writing and fund raising. If you sure that can do this with great outcome, then choice Academia. "Publish or perish" is shit. The proper way is "raise money, gather team, communicate, seek ideas, publish OR perish".
@matplotlib Is it possible to get the effect of plt.axis("off") by changing in rcParams? I want to work with images and disable axis for plt.imshow(...) in an entire notebook.
@marktenenholtz For CPU code, it is not true. Python reduce performance twicely, because of the imports and objects calls that request low-level code. However, C/C++ code for ML cannot be supported. Each pipeline on C requires 2 weeks of work.
The other point of view. In "Blindsight" written by P. Watts, aliens have no concsciousness and work like the Chinese room; however, that do not prevent them from being hostile;) Such techs may be non-santient in real, but dangerous in applications.
This discussion between a Google engineer and their conversational AI model helped cause the engineer to believe the AI is becoming sentient, kick up an internal shitstorm and get suspended from his job. And it is absolutely insane. https://t.co/hGdwXMzQpX
Useful idea, but I see trouble here. The simplest backward transform is a matrix. Matrix series has an issue with condition numbers, eigenvectors, fixed points, etc. I assume that not more than 20 backward transforms will really be available on practice.
@FerrerCfd@hapyresearchers In really, only PhD students from the first 300 better universities publish in high impact journals. Most PhD students in the world have no access to proper research facilities or can't pass paywalls...
NEW PAPER
The harm that can be done with SMOTE, oversampling and undersampling to "correct" for class imbalance, illustrated using logistic regression
Open access: https://t.co/n3kDAqCHoD