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Nearly everybody wants to invest their recreation energy to watch motion pictures with their loved ones. We as a whole have a similar encounter when we sit on our lounge chair to pick a film that we will watch and go through the following two hours yet can’t discover one following 20 minutes. It is so baffling. We unquestionably need a PC operator to give film proposals to us when we have to pick a film and spare our time. Evidently, a film suggestion specialist has just become a fundamental aspect of our life. …

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…

One of the easiest ways to get the last juice out of the models is to pick the right hyperparameters for machine learning or deep learning models. I will show you in this article some of the best ways to do hyperparameter tuning available today (in 2021)

Difference between parameter and hyper-parameters?

  1. Parameters of the model: These are the parameters calculated on the given dataset by the model. The weights of a deep neural network, for instance.
  2. Hyperparameters of Models: these are the parameters where the data model cannot predict. This is used for calculating the parameters of the model. …

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A rock-solid culture of computer scientists, data scientists, and AI experts also support Python’s success. But if you’ve ever been with these people at a dinner table, you already know how much they rant about Python’s vulnerabilities. There is plenty to be pissed off over, from being late to having unnecessary checking, to generating runtime errors amid the previous testing. Therefore, other languages are being followed by more and more programmers, with Julia, Go, and Rust being the top players.

For mathematical and technological activities, Julia is fine, while Go is great for modular applications, and Rust is the top…

Natural language Processing

Computers are great at working with structured data like spreadsheets and database tables. But humans usually communicate in words, not in tables. That’s unfortunate for computers. A lot of information in the world is unstructured — raw text in English or another human language. How can we get a computer to understand the unstructured text and extract data from it?

The field of study that focuses on the interactions between human language and computers is called Natural Language Processing, or NLP for short. It sits at the intersection of computer science, artificial intelligence, and computational linguistics. NLP is a way…

Both the random forest algorithm and Neural Networks are different techniques that learn differently but can be used in similar domains. Why would you use one over the other?

Neural networks have been shown to outperform a number of machine learning algorithms in many industry domains. They keep learning until it comes out with the best set of features to obtain a satisfying predictive performance. However, a neural network will scale your variables into a series of numbers that once the neural network finishes the learning stage, the features become indistinguishable to us.
If all we cared about was the prediction…

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….

Cheatsheet

I enjoy reading and spending time browsing Medium and writing in it. I use it as my blog, as my go-to source for exciting news, opinions, idea center, topic reading, a lot.

But writing and sharing information and getting around in Artificial Intelligence is not necessarily very easy. Using Artificial Intelligence, Machine learning, Deep Learning, Natural Language Processing and other buzzing words effectively can be a little complex as it keeps changing itself. Fortunately, Blogs gave us a lot of information on all the aspects and Cheatsheets plays a very vital role in the field of learning and memorizing things…

Would you let an Artificial Intelligence make decisions on behalf? — If Yes, then to what extent, maybe your life depends on it. From the incredibly-friendly voice of Apple’s personal assistant, Siri, to movies like Ex-Machina, Al has always excited me more than anything else. …

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…

Arpit Bhushan Sharma

ML enthusiastic | Love Exploring | Electrical Engineering | Tech-Geek

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