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Using a Keras LSTM Model to Predict Stock Prices



This tutorial illustrates how to get started forecasting time series with LSTM models. Stock market data is a great choice for this because it’s quite regular and widely available to everyone. Please don’t take this as financial advice or use it to make any trades of your own.

#ML

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Rules of Machine Learning: Best Practices for ML Engineering

#ML #Big_Data #Training

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VID2VID: Video-to-Video Synthesis

Pytorch implementation for high-resolution (e.g., 2048x1024) photorealistic video-to-video translation.

#Paper

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Introduction to Applied Linear Algebra – Vectors, Matrices, and Least Squares

By Stephen Boyd and Lieven Vandenberghe, Cambridge University Press:

#ArtificialIntelligence #MachineLearning #Math

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Model evaluation, model selection, and algorithm selection in machine learning

#ML #AI #BigData #DL ##neuralnetworks

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Twenty things I wish I’d known when I started my PhD

Recommened By Jeff Dean and Russ Poldrack

#Paper

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New NLP News:

ML on code, Understanding RNNs, Deep Latent Variable Models, Writing Code for NLP Research, Quo vadis, NLP?, Democratizing AI, ML Cheatsheets, Spinning Up in Deep RL, Papers with Code, Unsupervised MT, Multilingual BERT


#NLP #ML #DL #Training #RNN #RL

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βœ… Free Book Online

Artificial Intelligence in Business Gets Real

By S. Ransbotham, P. Gerbert, M. Reeves, D. Kiron, and M. Spira
#book

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Twisted: Event-driven networking engine written in Python

https://www.twistedmatrix.com
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Finding Similar Quora Questions with Word2Vec and Xgboost
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Recurrent Neural Networks by Example in Python:
Using a Recurrent Neural Network to Write Patent Abstracts
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Predicting Professional Players’ Chess Moves with Deep Learning
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❌ Online Book

Reinforcement Learning: An Introduction

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NVIDIA CEO Jensen Huang addresses 700+ attendees of SC18, where he revealed the rapid adoption of the NVIDIA T4 cloud GPU.

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Improving Neural Networks Hyperparameter Tuning, Regularization, and More

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Andrew Ng launches β€˜AI for Everyone,’ a new Coursera program aimed at business professionals.

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