📘Algorithmic Trading Methods: Applications Using Advanced Statistics, Optimization, and Machine Learning Techniques (2020)

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#پایتون #یادگیری_ماشین

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🆔 @Programming4all_0to100

🔹آموزش پروژه محور WDF به زبان سی شارپ ( نرم افزار مدیریت فروشگاه )

مدرس: دکتر رضا مشایخی

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#فروشگاه_اینترنتی #سی_شارپ
🆔 @Max_Academy

📘Transformers for Natural Language Processing (2021)

The book takes you through NLP with Python and examines various eminent models and datasets within the transformer architecture created by pioneers such as Google, Facebook, Microsoft, OpenAI, and Hugging Face.
The book trains you in three stages. The first stage introduces you to transformer architectures, starting with the original transformer, before moving on to RoBERTa, BERT, and DistilBERT models. You will discover training methods for smaller transformers that can outperform GPT-3 in some cases. In the second stage, you will apply transformers for Natural Language Understanding (NLU) and Natural Language Generation (NLG). Finally, the third stage will help you grasp advanced language understanding techniques such as optimizing social network datasets and fake news identification.


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Transformers for Natural Language Processing (2021)

▪️What you will learn

Use the latest pretrained transformer models

Grasp the workings of the original Transformer, GPT-2, BERT, T5, and other transformer models

Create language understanding Python programs using concepts that outperform classical deep learning models

Use a variety of NLP platforms, including Hugging Face, Trax, and AllenNLP

Apply Python, TensorFlow, and Keras programs to sentiment analysis, text summarization, speech recognition, machine translations, and more

Measure the productivity of key transformers to define their scope, potential, and limits in production

▪️Who this book is for
Since the book does not teach basic programming, you must be familiar with neural networks, Python, PyTorch, and TensorFlow in order to learn their implementation with Transformers.

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#پایتون #پردازش_زبان_طبیعی

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📘 Python: Beginner's Guide to Artificial Intelligence

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Python: Beginner's Guide to Artificial Intelligence

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#پایتون #هوش_مصنوعی

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📍آموزش OpenCV با انجام پروژه قلم مجازی

#پردازش_تصویر #OpenCV
🆔@Ai_Tv

📘Machine Learning in Java


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#یادگیری_ماشین #یادگیری_عمیق #جاوا

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Machine Learning in Java

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#یادگیری_ماشین #یادگیری_عمیق #جاوا

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🌟 از صفر تا پیشرفته جاوااسکریپت رو با دوره جادوی جاوا اسکریپت یاد بگیرید

لینک‌خرید قسمت اول دوره پیشرفته #جاوااسکریپت با 95% تخفیف 👇👇👇

https://zaya.io/qq39j

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AI as a Service: Serverless machine learning with AWS (2020)


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#یادگیری_ماشین #هوش_مصنوعی

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📘AI as a Service: Serverless machine learning with AWS (2020)


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#یادگیری_ماشین #هوش_مصنوعی

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Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks


Author(s): Michelucci, Umberto
Publisher: Apress, 2018

Description:
Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to address typical problems encountered when training deep neural networks. You'll begin by studying the activation functions mostly with a single neuron (ReLu, sigmoid, and Swish), seeing how to perform linear and logistic regression using TensorFlow, and choosing the right cost function.

The next section talks about more complicated neural network architectures with several layers and neurons and explores the problem of random initialization of weights. An entire chapter is dedicated to a complete overview of neural network error analysis, giving examples of solving problems originating from variance, bias, overfitting, and datasets coming from different distributions.

#پایتون

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📘Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks

▪️What You Will Learn:
▫️Implement advanced techniques in the right way in Python and TensorFlow

▫️Debug and optimize advanced methods (such as dropout and regularization)

▫️Carry out error analysis (to realize if one has a bias problem, a variance problem, a data offset problem, and so on)

▫️Set up a machine learning project focused on deep learning on a complex dataset

▪️Who This Book Is For:
Readers with a medium understanding of machine learning, linear algebra, calculus, and basic Python programming.

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#یادگیری_ماشین #یادگیری_عمیق

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📘Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks

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Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks

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Mastering OpenCV 4 with Python: A practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3.7



Author(s): Alberto Fernandez Villan
Publisher: Packt Publishing, Year: 2019

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#پایتون #OpenCV

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📘Mastering OpenCV 4 with Python

▪️What you will :
• Handle files and images, and explore a variety of image processing techniques
• Understand image transformations, including translation, resizing, and cropping
• Gain insights into building histograms
• Brush up on contour detection, filtering, and drawing
• Work with augmented reality to build marker-based and markerless applications
• Explore deep learning Python libraries and OpenCV capabilities
• Work with the important machine learning algorithms in OpenCV
• Create computer vision and deep learning web applications

▪️Who this book is for :
This book is designed for computer vision developers, engineers, and researchers who want to develop modern computer vision applications. Basic experience of OpenCV and Python programming is a must.

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#پایتون #پردازش_تصویر

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Building Vue.js Applications with GraphQL

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#Reactjs #طراحی_سایت #vuejs

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Building Vue.js Applications with GraphQL

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#Reactjs #طراحی_سایت #vuejs

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📘Python Basics: A Practical Introduction to Python 3


Author(s): David Amos, Dan Bader, Joanna Jablonski, Fletcher Heisler
Publisher: Real Python , Year: 2021

▪️What Python Developers Say About The Book:
“Go forth and learn this amazing language using this great book.” — Michael Kennedy, Talk Python
“The wording is casual, easy to understand, and makes the information flow well.” — Thomas Wong, Pythonista
“I floundered for a long time trying to teach myself. I slogged through dozens of incomplete online tutorials. I snoozed through hours of boring screencasts. I gave up on countless crufty books from big-time publishers. And then I found Real Python. The easy-to-follow, step-by-step instructions break the big concepts down into bite-sized chunks written in plain English. The authors never forget their audience and are consistently thorough and detailed in their explanations. I’m up and running now, but I constantly refer to the material for guidance.” — Jared Nielsen, Pythonista

🆔 @Programming4all_0to100