2021-11-20
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Understanding Expectation-Maximization (EM) algorithm with an example in Python

7 mins read Suppose we have some data sampled from two different groups, red and blue: Here, we can see which data point […]
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2021-11-15
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Machine Learning From Scratch Series: Naive Bayes and Gaussian Naive Bayes

16 mins read Introduction Naïve Bayes algorithm is a supervised classification algorithm based on the Bayes theorem with strong (Naïve) independence among features. In machine learning and data […]
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2021-11-09
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The BERT Model

17 mins read The year 2018 has been an inflection point for machine learning models handling text (or more accurately, Natural Language Processing […]
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2021-11-08
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Using BERT for Sentence Sentiment Classification

11 mins read Progress has been rapidly accelerating in machine learning models that process language over the last couple of years. This progress […]
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2021-11-08
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Seq2Seq models, Attention Mechanism, and Transformers Explained

29 mins read Sequence-to-sequence models are deep learning models that have achieved a lot of success in tasks like machine translation, text summarization, […]
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2021-11-04
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A guide on Gradient Boosting models

22 mins read An introduction to additive modeling Before we get into boosting, let’s look at an example of what mathematicians call additive modeling because […]
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2021-11-02
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ARCH and GARCH models for Time Series Prediction in Python

11 mins read A change in the variance or volatility over time can cause problems when modeling time series with classical methods like […]
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2021-11-02
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Finding and removing seasonality in Time-Series Data with Python

17 mins read Seasonality in Time Series Time series data may contain seasonal variation. Seasonal variation, or seasonality, are cycles that repeat regularly […]
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2021-11-01
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ARIMA and SARIMA for Real-World Time Series Forecasting in Python

15 mins read Time series and forecasting have been some of the key problems in statistics and Data Science. Data becomes a time […]
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2021-11-01
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A review of techniques for Time Series prediction

43 mins read Working with time series data? Here’s a guide for you. In this article, you will learn how to compare and […]
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2021-10-19
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Difference between Probability Density and Probability

5 mins read The probability density at x can be greater than one but then, how can it integrate to one? It’s a […]
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2021-10-19
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What is Conjugate Prior?

5 mins read What is Prior? Prior probability is the probability of an event before we see the data. In Bayesian Inference, the prior […]
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2021-10-17
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Important probability distributions for Data Science with Python code

33 mins read For a data scientist aspirant, Statistics is a must-learn thing. It can process complex and challenging problems in the real […]
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2021-10-08
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Importance Sampling in Reinforcement Learning

5 mins read Motivation Importance sampling plays a key role in sampling inferencing and reinforcement learning RL. In RL, importance sampling estimates the […]
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2021-09-24
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Deep Reinforcement Learning: Using policy-based methods to play Pong from pixels

34 mins read This is a long-overdue blog post on Reinforcement Learning (RL). RL is hot! You may have noticed that computers can […]
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2021-09-17
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Evolution Strategies as a Scalable Alternative to Reinforcement Learning

16 mins read Evolution strategies (ES) is an optimization technique that’s been known for decades, rivals the performance of standard reinforcement learning (RL) techniques on […]
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2021-09-10
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Double DQN and Dueling DQN in Reinforcement Learning

9 mins read In this article, we will see two algorithms that improve upon DQN. These are named Double DQN and Dueling DQN. But first, let’s […]
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2021-09-09
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SumTree data structure for Prioritized Experience Replay (PER) explained with Python Code

14 mins read Weighted sampling from a list-like collection is an important activity in many applications. Weighted sampling involves selecting samples randomly from […]
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2021-08-22
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Understanding Attention Mechanism in Sequence 2 Sequence Machine Translation

39 mins read Introduction Recurrent Neural Networks (or more precisely LSTM/GRU) have been found to be very effective in solving complex sequence-related problems […]
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2021-08-07
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Principal Component Analysis (PCA) Explained

14 mins read What is PCA? Let’s say that you want to predict what the gross domestic product (GDP) of the United States will be […]
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