Publications by finnstats
Introduction to Machine Learning with TensorFlow
Introduction to machine learning with TensorFlow! What is TensorFlow? The Google Brain team created TensorFlow, an open-source library. It was designed for activities that need a lot of numerical computations. TensorFlow was designed specifically for machine learning and deep learning networks. TensorFlow ran faster than python code thanks to the...
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error: JAVA_HOME cannot be determined from the Registry
error: JAVA_HOME cannot be determined from the Registry, This error notice happens most frequently when we try to load the xlsx package. Approach 1: error: JAVA_HOME cannot be determined from the Registry The error message “JAVA HOME cannot be identified from the Registry” will be replicated in this example. aggregate Function in R- A powerfu...
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Introduction to Deep Learning
Introduction to deep learning, This is a follow-up to one of our previous posts, which you can read here if you missed it. Introduction to Deep Learning Deep learning applications are employed in practically every industry, including health care, internet service, telecommunication service (mobile phone), automobiles, and so on… Deep learning i...
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Convolutional Neural Networks
Convolutional neural networks, Let’s look at a picture classification problem. Assume you have a data set including numerous photographs of planes and cars. And you’d like to create a model that can recognize and distinguish them. Please click here to read our prior post if you haven’t already. Convolutional Neural Networks The objective is...
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Introduction to Recurrent Neural Networks
Recurrent Neural Networks, This is a follow-up to one of our previous posts, which you can read here if you missed it. Let’s look into Recurrent Neural Networks and the different types of issues that they may handle. RNN is a deep learning technique that attempts to overcome the difficulty of modeling sequential data. What exactly does “seq...
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Restricted Boltzmann Machine (RBM)
Restricted Boltzmann Machine is used to detect patterns in data, in an unsupervised way. If you haven’t read the previous posts yet, you can read them by clicking the below links. Introduction to Machine Learning with TensorFlow »Introduction to Deep Learning » Convolutional Neural Networks »Introduction to Recurrent Neural Networks (RNN) »...
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Deep Belief Networks and Autoencoders
Deep Belief Networks (DBN) and Autoencoders, Let’s take a look at DBNs and how they are created on top of RBMs. If you haven’t read the previous posts yet, you can read them by clicking the below links. Introduction to Machine Learning with TensorFlow »Introduction to Deep Learning »Convolutional Neural Networks »Introduction to Recurrent ...
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Data Visualization with R-Scatter plots
Data Visualization with R, In this tutorial, we will describe how to create a scatter plot in the R programming language. “ggplot2” is a fantastic package for making visually appealing data displays. If you are not already installed, let us do so. How to Change Background Color in ggplot2 » install.packages(“ggplot2”) Now we can run the ...
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Line Plots in R-Time Series Data Visualization
Line Plot in R, this tutorial will show you how to create simple line plots, adjust the axis labels and colors of plots, and create multiple line graphs. Line plots aid in the visualization of time series data. Throughout this lesson, you will see examples of line plots created with the “EUStockMarkets” time series dataset included with the g...
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Boxplot in R Language
Boxplot in R, we will demonstrate how to make a box plot in the R programming language. A box plot summarises the distribution of numerical data that has been sorted. If you enjoyed our Data Science tutorials, please subscribe to our YouTube Channel.!Subscribe Now The first quartile is located 25% of the way through the sorted data. In other word...
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