Ai 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
Ai 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
Ai 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
Ai 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
Ai 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
Ai 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
Ai 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.
Ai 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,