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Basic AND OR NOT gate using NAND Gate Digital logic Design

Download Circuit Maker Full Version for free for Digital Logic Circuit Design Download Now Please download and install this + active with key (key is given in the zip file) for designing all logic circuits of digital logic design.

Purpose of studying machine learning ML really is just math and relatively simple math at that. ML is not programmed, it is taught only with data. The value you get from machine learning is a function of the quality of the data you feed it. As humans teach machine learning …

Why Machine Learning is important? Machine Learning can be used to automate a lot of different tasks – Image recognition, text generation and playing games etc. In the field of machine playing games like the Dota bot from the open AI team. Prerequisites of Machine Learning: Linear Algebra Probability theory …

Machine Learning limitations and reasons Machine Learning program often fail to deliver expected results because – lack of suitable data lack of access of data data bias privacy problems badly chosen tasks and algorithms wrong tools and people lack of resources evaluation problems.

Supervised Learning: You have labeled data and you are trying to predict a label based off of known features and uses patterns to predict values. Unsupervised Learning: You have unlabeled data and are trying to group together similar data points based off of features. Find some structure within the data. Reinforcement Learning: Algorithm …

Basic Machine Learning Algorithms Decision trees Linear Regression Neural Networks Reinforcement learning Types of ML algorithms Supervised Learning Semi-supervised learning Unsupervised learning Reinforcement learning Learning techniques Decision tree Feature learning Machine learning models Artificial Neural Networks (ANN) Support Vector Machine (SVM) Bayesian Networks Genetic Algorithm.  

Difference between Artificial Intelligence vs Machine Learning AI – Artificial Intelligence ML – Machine Learning AI stands for Artificial Intelligence ML stands for Machine Learning AI increases the chance of success not accuracy ML increases accuracy not success AI simulates natural intelligence to solve complex program ML learns from data …

Machine learning is an application field of Artificial Intelligence (AI) that provides system the ability to automatically learn and improve from experience without being explicitly programmed. Machine Learning is a method of data analysis that automates analytical model building. ML allows computers to find hidden insights without being explicitly programmed …

Steps of Linear programming Formulate the linear program. Construct graph, plot the constraint line. Determine the valid side of each constraint line. Identify the feasible solution region. Plot the objective function on the graph. Find the optimum point. Calculate the co-ordinate of the optimum point.