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  1. Jul 4, 2024 · The creators for the most part utilize the inactive highlights picked up by anti-compilation APK. These static highlights incorporate string, delicate API, certificates, and application authorizations. Yang Hong-Yu proposed a progressed random forest algorithm to identify and classify malware . In this paper, they suggested a modern strategy to ...

  2. Jul 4, 2024 · The second group is algorithms that only make a classification. This section only includes methods that just make the classification. For classification tasks, the main methods used are CNN, support vector machine (SVM), k-nearest neighbor (KNN), extreme learning machine (ELM), and random forest (RF) and their derivatives as shown in Table 10.

  3. Jul 4, 2024 · Join us as we decipher the language of algorithms, uncover the secrets of neural networks, and delve into real-world applications shaping industries globally. Are you ready to embark on this incredible voyage into AI and ML? Let's start this adventure together! Table of Contents. 1. Introduction to Artificial Intelligence and Machine Learning

  4. 23 hours ago · Using the Decision Forest to Classify new data. run the following command: This will compute the predictions of “KDDTest+.arff” dataset (-i argument) using the same data descriptor generated for the training dataset (-ds) and the decision forest built previously (-m). Optionally (if the test dataset contains the labels of the tuples) run ...

  5. 23 hours ago · Training an agent (i.e., IoT device) to behave smartly in such an environment cannot be addressed by conventional machine learning algorithms such as supervised learning. By reinforcement learning approach, a learning agent can sense the environment's state (e.g., sensing home temperature), perform actions (e.g., turn HVAC on or off) and learn through the maximizing accumulated rewards it receives in long term.

  6. 23 hours ago · Boosting and bagging algorithm; Time series modeling; Kernel SVM; Naive Bayes; Random forest classifiers-> Existing applications of ML-> Live Q&A and Case Discussions. P.S More Algorythm courses coming up on each one of these concepts, follow for updates.

  7. 23 hours ago · Coursera – Data Structures and Algorithms Specialization 2023-12 Udemy – Docker and Kubernetes – Your complete guide 2024-1 Udemy – Ensemble Machine Learning in Python: Random Forest, AdaBoost 2021-10

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