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Ai

Discover the responsible and ethical side of Artificial Intelligence at fr33s0ul.tech. Our blog covers the latest advancements and applications of AI in various industries, with a focus on transparency, accountability, and privacy. From students to researchers, this is your source for a humble and ethical perspective on the rapidly-growing world of AI.

That path to Ai: #8 Hacking Ai with Adv machine learning

That path to Ai: #8 Hacking Ai with Adv machine learning

Adversarial machine learning Adversarial machine learning exploits how artificial intelligence algorithms work to disrupt the conduct of artificial intelligence algorithms. In the past years, adversarial machine learning has become an active zone of research as the job of AI continues to grow in vast numbers of the applications we use.

That path to Ai: #7 CNNs, RNNs, Feature eng ML / imputaxon

That path to Ai: #7 CNNs, RNNs, Feature eng ML / imputaxon

Convolutional Neural Networks (CNNs) A Convolutional Neural Networks (CNNs) is a Deep Learning algorithm which can take in an input picture, appoint significance (learnable weights and biases) to different articles in the image and have the option to separate one from the other. The pre-processing required in a CNNs; it

That path to Ai: #6 Dimensionality reduction / and ens learning to improve classifi...

That path to Ai: #6 Dimensionality reduction / and ens learning to improve classifi...

Dimensionality reduction is a set of machine learning-based indicative models. They are useful to execute data manipulation; it decreases the dimensionality of a dataset. It is instrumental in cases where the issue becomes intractable, and the quantity of variables increases, then dimensionality reduction leads to choosing significant variables. * Low variance

That path to Ai: #5 Performance evaluation

That path to Ai: #5 Performance evaluation

Now that we covered a fair amount of the components and instruments involving in the AI systems, it is the time to talk a little about performance evaluation and its importance. Performance evaluation is an essential step in a methodological operation. Because after finishing the whole machine learning model, testing

That path to Ai: #4 ANN and Activation functions

That path to Ai: #4 ANN and Activation functions

Artificial neural networks Artificial neural networks are one of the trending topics in nowadays, Applications based on this type of technology imitate the sophisticated functionality of the human brain, where neurons process information in parallel. Researchers have successfully proved the concept by creating prototypes and successful models, for example, pattern

That path to Ai: #3 the others

That path to Ai: #3 the others

Unsupervised learning The distinction in unsupervised learning from supervised learning, as it may have surmised the data will not contain any labels, and the module should attempt prospects and learn without a teacher. Semi-supervised learning The semi-supervised learning algorithm is a combination of supervised learning and unsupervised. The algorithms run

That path to Ai: #2 Supervised learning

That path to Ai: #2 Supervised learning

It is a type of machine learning algorithms that learns from a provided input/output data to predict an un-provided output from the same form of input data in training. Supervised learning is often in our daily life, for example, the algorithm that indicates how much time a driver will

That path to Ai: #1 Intro to the fancy normal science.

That path to Ai: #1 Intro to the fancy normal science.

Cybersecurity field grew so fast that now the industry needs many cybersecurity professionals to defend and patch issues in networks and web applications before cybercriminals attempt to do it. Still, thankfully we have nowadays a lot of conferences and many people working together to make the internet a better internet.