Logo: 
Areas Served: 
Monte Carlo Simulation An In-depth Tutorial with Python
Figure 1: The Monte Carlo Simulation methods are used in many industries, from the stock market to finance, energy, banking, and other forecasting models. | Source: Pexels An in-depth tutorial on the Monte Carlo Simulation methods and applications with Python Author(s): Pratik Shukla, …
Natural Language Processing (NLP) with Python — Tutorial
Author(s): Pratik Shukla, Roberto Iriondo Source: Pixabay Natural Language Processing, Scholarly, Tutorial Tutorial on the basics of natural language processing (NLP) with sample code implementation in Python In this article, we explore the basics of natural language processing (NLP) with code examples. We …
Main Types of Neural Networks and its Applications — Tutorial
A tutorial on the main types of neural networks and their applications to real-world challenges. Author(s): Pratik Shukla, Roberto Iriondo Last updated March 17, 2022 Figure 1: Main types of neural networks, designed with app.diagrams.net, diagram is a derivative from Creative Commons …
Building Neural Networks with Python Code and Math in Detail — II
Author(s): Pratik Shukla, Roberto Iriondo Source: Pixabay The second part of our tutorial on neural networks from scratch. From the math behind them to step-by-step implementation case studies in Python. Launch the samples on Google Colab. In the first part of our tutorial …
Neural Networks from Scratch with Python Code and Math in Detail- I
Author(s): Pratik Shukla, Roberto Iriondo Source: Unsplash Learn all about neural networks from scratch. From the math behind it to step-by-step implementation case studies in Python. Launch them live on Google Colab Note: In our upcoming second tutorial on neural networks, we will …
Machine Learning (ML) Algorithms For Beginners with Code Examples in Python
Author(s): Pratik Shukla, Roberto Iriondo, Sherwin Chen Machine Learning Algorithms Tree | Source: Image authored by Sherwin Chen, please cite it accordingly whenever used. The citation can be found at the bottom of the article. Overview of the major machine learning algorithms …
Tutorial on LSTMs: A Computational Perspective
Author(s): Manu Rastogi, Ph.D. Photo by Jack Nagz on Unsplash In recent times there has been a lot of interest in embedding deep learning models into hardware. Energy is of paramount importance when it comes to deep learning model deployment especially at the edge. There is …
Getting Started with Kaggle Competitions Using Monk AI
Author(s): sinchana S.R Deep Learning Monk is a low code deep learning tool and a suitable wrapper for computer vision. Monk Features Low-code. Unified wrapper over major deep learning framework s — Keras, PyTorch, gluoncv. Syntax invariant wrapper. Monk Enables To create, manage, and version control …
Nothing but NumPy: Understanding & Creating Neural Networks with Computational Graphs from Scratch
Author(s): Rafay Khan Understanding new concepts can be hard, especially these days when there is an avalanche of resources with only cursory explanations for complex concepts. This blog is the result of a dearth of detailed walkthroughs on how to create neural …
Popular posts
Updates
Recent Posts
