Intro To Machine Learning with PyTorch

BOOKS - Intro To Machine Learning with PyTorch

Intro To Machine Learning with PyTorch - Stefan Weiss November 10, 2023 PDF Independently published BOOKS

ECO~17 kg CO²

2 TON

54459

Intro To Machine Learning with PyTorch

Author: Stefan Weiss
Year: November 10, 2023
Format: PDF
File size: 10.1 MB
Language: ENG

Pay with Telegram STARS

INTRO TO MACHINE LEARNING WITH PYTHON Introduction The world we live in today is vastly different from the one our parents or grandparents grew up in. Technology has advanced at an incredible pace over the past few decades, and it continues to evolve at an exponential rate. As a result, the job market has shifted dramatically, and many traditional careers are no longer viable. However, this does not mean that all hope is lost. With the rise of machine learning, there has never been a better time to learn how to code and develop software. In this article, we will explore the basics of machine learning using Python, specifically focusing on PyTorch. Machine Learning Machine learning is a subset of artificial intelligence that involves training algorithms to make predictions based on data. It is used in various industries such as healthcare, finance, marketing, and more. The goal of machine learning is to enable computers to learn without being explicitly programmed. This technology has revolutionized the way we approach problems and has opened up new opportunities for businesses and individuals alike. PyTorch PyTorch is an open-source machine learning library developed by Facebook's AI Research Lab (FAIR). It provides a dynamic computational graph and makes it easy to build and train neural networks. PyTorch allows developers to quickly experiment with different ideas and iterate on their models. Additionally, it has a large community of users who contribute to its development and provide support.

You may also be interested in:

Deep Learning with PyTorch, 2nd Ed (MEAP V05)

Deep Learning with Python The Crash Course for Beginners to Learn the Basics of Deep Learning with Python Using TensorFlow, Keras and PyTorch

Machine Learning With Python Programming 2023 A Beginners Guide The Definitive Guide to Mastering Machine Learning in Python and a Problem-Guide Solver to Creating Real-World Intelligent Systems

Deep Machine Learning Complete Tips and Tricks to Deep Machine Learning

Machine Learning in Trading: Step by step implementation of Machine Learning models

Machine Learning in Microservices: Productionizing microservices architecture for machine learning solutions

Deep Learning Examples with PyTorch and fastai A Developers| Cookbook

Deep Reinforcement Learning with Python: With PyTorch, TensorFlow and OpenAI Gym

Linear Algebra And Optimization With Applications To Machine Learning - Volume II Fundamentals of Optimization Theory with Applications to Machine Learning

Mastering ChatGPT and Google Colab for Machine Learning Automate AI Workflows and Fast-Track Your Machine Learning Tasks with the Power of ChatGPT, Google Colab, and Python

Deep Learning for Coders with fastai and PyTorch AI Applications Without a PhD (Early Release)

Python Machine Learning Discover the Essentials of Machine Learning, Data Analysis, Data Science, Data Mining and Artificial Intelligence Using Python Code with Python Tricks

Hands-on Supervised Learning with Python Learn How to Solve Machine Learning Problems with Supervised Learning Algorithms

Решение задач глубокого обучения с использованием фреймворков Pytorch и Pytorch Lightning

Mastering Excel VBA and Machine Learning A Complete, Step-by-Step Guide To Learn and Master Excel VBA and Machine Learning From Scratch

Signal Processing and Machine Learning for Brain-Machine Interfaces

Building Transformer Models with PyTorch 2.0 NLP, computer vision, and speech processing with PyTorch and Hugging Face

Machine Learning with Python Advanced Guide in Machine Learning with Python

Machine Learning with Python 3 in 1 Beginners Guide + Step by Step Methods + Advanced Methods and Strategies to Learn Machine Learning with Python

Deep Learning for Time Series Cookbook: Use PyTorch and Python recipes for forecasting, classification, and anomaly detection

Machine Learning with Neural Networks An In-depth Visual Introduction with Python Make Your Own Neural Network in Python A Simple Guide on Machine Learning with Neural Networks

Building Transformer Models with PyTorch 2.0: NLP, computer vision, and speech processing with PyTorch and Hugging Face (English Edition)

Machine Learning with Python A Step-By-Step Guide to Learn and Master Python Machine Learning

Machine Learning with Python Cookbook Practical Solutions from Preprocessing to Deep Learning

Learning Kernel Classifiers: Theory and Algorithms (Adaptive Computation and Machine Learning)

Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems

Artificial Intelligence and Machine Learning Foundations Learning from experience, 2nd Edition

Machine Learning Master Supervised and Unsupervised Learning Algorithms with Real Examples

Bio-inspired Algorithms in Machine Learning and Deep Learning for Disease Detection

Disease Prediction using Machine Learning, Deep Learning and Data Analytics

Design of Intelligent Applications using Machine Learning and Deep Learning Techniques

Learning TensorFlow.js Powerful Machine Learning in javascript

Federated Learning (Synthesis Lectures on Artificial Intelligence and Machine Learning)