Lecture #4: Binary Classification | Deep Learning and Neural Networks

Binary classification is the task of classifying a given input into 2 classes: 1 denotes positive class, and 0 denotes negative class See a detailed explanation in the video. ===============Best Books on Machine Learning :================= 1. Introduction to Machine Learning with Python: A Guide for Data Scientists: https://amzn.to/2TLlhAR 2. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems: https://amzn.to/2wKtPij 3. Pattern Recognition and Machine Learning (Information Science and Statistics): https://amzn.to/33aNXpL 4. Deep Learning with Python - François Chollet: https://amzn.to/39ISNgv 5. Deep Learning (Adaptive Computation and Machine Learning series) - Ian Goodfellow: https://amzn.to/2vMPVR7 6. Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series) - Kevin P. Murphy: https://amzn.to/33aNrYN binary classification, logistic regression #NeuralNetworks #DeepLearning #SupervisedLearning #AI #ML #BinaryClassification #LogisticRegression