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FREE Exercise: Predict Stocks with News, + Other ML News

TL;DR: this is an article about how to predict stocks using the news. In this article, we are going to do an exercise involving my 2 current...

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[NEW COURSE] Machine Learning: Natural Language Processing in Python (V2)

VIP Promotion Machine Learning: Natural Language Processing in Python (V2) ===The Complete Natural Language Processing Course Has...

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List of Hugging Face Pipelines for NLP

Here is a list of Hugging Face Pipelines for NLP. For some reason these are difficult to find on Hugging Face's own documentation, so I am listing...

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🎄 BLACK FRIDAY 2021 COUPONS AND DEALS

Hello friends!   The Black Friday 2021 sale is on! I'm sending you links now which will give you the maximum possible discount during...

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Mistakes in Stock Prediction: Trying to Predict the Price

Hello friends! Curious about how to properly predict stock prices?   I've now released the third video in this YouTube mini-series. For...

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Intel Extension for Scikit-Learn

Hello friends!   Today, Intel announced their extension for Scikit-Learn, which allows you to accelerate your Scikit-Learn code 10-100x...

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Why you shouldn’t use prices as inputs to predict stock prices in machine learning (YouTube Episode 20)

Ever come across a machine learning / data science blog demonstrating how to predict stock prices using an autoregressive model, with past stock...

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Convert a Time Series Into an Image with Gramian Angular Fields and Markov Transition Fields

In my latest course (Time Series Analysis), I made subtle hints in the section on Convolutional Neural Networks that instead of using 1-D...

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Should you study the theory behind machine learning?

In this post, I want to discuss why you should not study the theory behind machine learning. This may surprise some of you, since my courses...

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Predicting Stock Prices with Facebook Prophet

Prophet is Facebook's library for time series forecasting. It is mainly geared towards business datasets (e.g. predicting adspend or CPU usage), but...

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Why do you need math for machine learning and deep learning?

In this article, I will demonstrate why math is necessary for machine learning, data science, deep learning, and AI. Most of my students have...

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Time Series: How to convert AR(p) to VAR(1) and VAR(p) to VAR(1)

This is a very condensed post, mainly just so I could write down the equations I need for my Time Series Analysis course. ;) However, it you find...

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What’s the difference between your courses and your consulting service?

This article is part of a series on common beginner questions. It is related to another article on how to use the Q&A, but this covers the...

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Coding Interview Questions – Bioinformatics Rosalind.info – Finding a motif in DNA (Episode 18)

Hello all! In this video, we're going to do another coding interview question where I walk you through the process of: -...

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Reinforcement Learning Algorithms: Expected SARSA

In this post, we'll extend our toolset for Reinforcement Learning by considering a new temporal difference (TD) method called Expected SARSA. In...

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Monte Carlo with Importance Sampling for Reinforcement Learning

In this post, we'll extend our toolset for Reinforcement Learning by considering the Monte Carlo method with importance sampling. In my course,...