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Tensorflow is a machine learning framework that is provided by Google. It is an open-source framework used in conjunction with Python to implement algorithms, deep learning applications and much more. It is used in research and for production purposes. It has optimization techniques that help in performing complicated mathematical operations quickly. This is because it uses NumPy and multi-dimensional arrays. These multi-dimensional arrays are also known as ‘tensors’. The framework supports working with deep neural networks. It is highly scalable and comes with many popular datasets. It uses GPU computation and automates the management of resources. It comes with a ... Read More
There are many types of clustering algorithms in Machine Learning. These algorithms can be implemented in Python. In this article, let us discuss and implement the ‘Mean−Shift’ algorithm using Python. It is a clustering algorithm that is used as an unsupervised learning method.In this algorithm, no assumptions are made. This implies that it a non−parametric algorithm. This algorithm assigns data points to certain clusters iteratively, which is done by shifting these data points towards highest density of data points.This high density of data points is known as the centroid of the cluster. The different between Mean shift algorithm and K ... Read More
Suppose, we have a singly linked list where each node contains an integer value. We have to find out if the absolute difference between two successive nodes is 1.So, if the input is like start_node->5->6->7->8->7->6->5->4, then the output will be True.To solve this, we will follow these steps −temp := start_nodewhile temp is not null, doif temp.link is same as null, thencome out from the loopif |value of (temp) - value of (temp.link)| is not same as 1, thenreturn Falsetemp := temp.linkreturn TrueExampleLet us see the following implementation to get better understanding − Live Demoimport math class link_node: def __init__(self, ... Read More
Tensorflow is a machine learning framework that is provided by Google. It is an open-source framework used in conjunction with Python to implement algorithms, deep learning applications, and much more. It is used in research and for production purposes. It has optimization techniques that help in performing complicated mathematical operations quickly.This is because it uses NumPy and multi-dimensional arrays. These multi-dimensional arrays are also known as ‘tensors’. The framework supports working with a deep neural networks. It is highly scalable and comes with many popular datasets. It uses GPU computation and automates the management of resources. It comes with multitude ... Read More
Matplotlib is a popular Python package that is used for data visualization. Visualizing data is a key step since it helps understand what is going on in the data without actually looking at the numbers and performing complicated computations.It helps in communicating the quantitative insights to the audience effectively. Matplotlib is used to create 2 dimensional plots with the data. It comes with an object oriented API that helps in embedding the plots in Python applications. Matplotlib can be used with IPython shells, Jupyter notebook, Spyder IDE and so on.It is written in Python. It is created using Numpy, which ... Read More
Tensorflow is a machine learning framework that is provided by Google. It is an open-source framework used in conjunction with Python to implement algorithms, deep learning applications and much more. It is used in research and for production purposes.The ‘tensorflow’ package can be installed on Windows using the below line of code −pip install tensorflowKeras was developed as a part of the research for the project ONEIROS (Open-ended Neuro-Electronic Intelligent Robot Operating System). Keras is a deep learning API, which is written in Python. It is a high-level API that has a productive interface that helps solve machine learning problems. ... Read More
Matplotlib is a popular Python package that is used for data visualization. Visualizing data is a key step since it helps understand what is going on in the data without actually looking at the numbers and performing complicated computations. It helps in communicating the quantitative insights to the audience effectively.Matplotlib is used to create 2 dimensional plots with the data. It comes with an object oriented API that helps in embedding the plots in Python applications. Matplotlib can be used with IPython shells, Jupyter notebook, Spyder IDE and so on.It is written in Python. It is created using Numpy, which ... Read More
Suppose, we are provided with a Binary Search Tree (BST) that contains integer values, and a number 'total'. We have to find out if there are any group of three elements in the provided BST where the addition of the three elements is equal to the supplied 'total' value.So, if the input is liketotal = 12, then the output will be True.To solve this, we will follow these steps −temp_list := a new list initialized with zeroinorder traverse the tree and put it in temp_listfor i in range 0 to (size of temp_list - 2), increase by 1, doleft := ... Read More
Tensorflow is a machine learning framework that is provided by Google. It is an open-source framework used in conjunction with Python to implement algorithms, deep learning applications, and much more. It is used in research and for production purposes. It has optimization techniques that help in performing complicated mathematical operations quickly.This is because it uses NumPy and multi-dimensional arrays. These multi-dimensional arrays are also known as ‘tensors’. The framework supports working with deep neural networks. It is highly scalable and comes with many popular datasets. It uses GPU computation and automates the management of resources. It comes with multitude of ... Read More
Matplotlib is a popular Python package that is used for data visualization. Visualizing data is a key step since it helps understand what is going on in the data without actually looking at the numbers and performing complicated computations. It helps in communicating the quantitative insights to the audience effectively.Matplotlib is used to create 2 dimensional plots with the data. It comes with an object oriented API that helps in embedding the plots in Python applications. Matplotlib can be used with IPython shells, Jupyter notebook, Spyder IDE and so on.It is written in Python. It is created using Numpy, which ... Read More