Data Visualization

Reinforcement learning has gained valuable popularity with the relatively recent success of DeepMind's AlphaGo method to beat the world champion Go player. The AlphaGo method was educated in part by reinforcement learning on deep neural networks. This style of learning is a distinct feature of machine learning from the classical supervised and unsupervised paradigms. In reinforcement learning, the network responds to environmental data (called the state) using deep neural networks and influences the behavior of an agent to try to optimize a reward. This technique helps a network to learn how to play sports, such as Atari or other video games, or some other challenge that can be rewritten as a form of the game. In this tutorial, a common model of reinforcement learning, I will introduce the broad principles of Q learning, and I will demonstrate how to incorporate deep Q learning in TensorFlow. Introduction to reinforcement learning As mentioned above, reinforcement learning consis...

What is 100 Days of Code?

September 28, 2020

There were lots of issues and Vagueness with this topic. How will I go for100 days coding all day? How will I code for 1000hrs? Do I have to code the whole 100 days? Will It improve my skills? What are the basic Programming languages I can take for 100 days? And List Continues…. Here, I am to clear your doubts on the 100daysofCode strategy. 100daysofCode challenges you that you will code for at least an hour every day for the next 100 days and it's very skillfully if taken by heart and seriously. It will boost your skills, it will give you enthusiasm to code each day and build your logical section a bit stronger. First, make your mind full set and then decided to make this a public commitment many times and have done 100 days of code a lot with Python, C and C++ as these are my favorite and I want to learn them as well. You can also stick to a single Programming language and can move forward with it if you want to do mastery in it. And you should join me as well and watch my repo...

Does R square Measure the Predictive Capacity or Statistical Sufficiency ?

August 09, 2020

The way that R-squared shouldn’t be utilized for choosing if you have a satisfactory model is illogical and is once in a while clarified unmistakably. This exhibit diagrams how R-squared integrity of-fit functions in relapse investigation and relationships while demonstrating why it’s anything but a proportion of measurable sufficiency, so ought not to propose anything about future prescient execution. The R-squared Goodness-of-Fit measure is one of the most broadly accessible insights going with the yield of relapse investigation in factual programming. Maybe incompletely because of its far-reaching accessibility, it is additionally one of the frequently misjudged ones. Initial, a concise update on R-squared (R2). In a relapse with a solitary free factor, R2 is determined as the proportion between the variety clarified by the model and the all-out watched variety. It is regularly called the coefficient of assurance and can be deciphered as the extent of variety clarified by the presen...

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Machine Learning