- Classification Metrics Walkthrough: Logistic Regression with Accuracy, Precision, Recall, and ROC - Oct 13, 2022.
In this article, I will be going through 4 common classification metrics: Accuracy, Precision, Recall, and ROC in relation to Logistic Regression.
Machine Learning
- 5 Free Courses to Master Linear Algebra - Oct 13, 2022.
Linear Algebra is an important subfield of mathematics and forms a core foundation of machine learning algorithms. The post shares five free courses to master the concepts of linear algebra.
Machine Learning
- The Complete Free PyTorch Course for Deep Learning
- Oct 12, 2022.
Do you want to learn PyTorch for machine learning and deep learning? Check out this 24 hour long video course with accompanying notes and courseware for free. Did I mention it's free?
Machine Learning
- A Day in the Life of a Machine Learning Engineer - Oct 10, 2022.
What does a day in the life as a machine learning engineer look like for you?
Machine Learning
- Hyperparameter Tuning Using Grid Search and Random Search in Python - Oct 5, 2022.
A comprehensive guide on optimizing model hyperparameters with Scikit-Learn.
Machine Learning
- Machine Learning for Everybody! - Oct 4, 2022.
Who is machine learning for? Everybody!
Machine Learning
- Which Metric Should I Use? Accuracy vs. AUC - Oct 4, 2022.
Depending on the problem you’re trying to solve, one metric may be more insightful than another.
Machine Learning
- 7 Steps to Mastering Machine Learning with Python in 2022 - Sep 30, 2022.
Are you trying to teach yourself machine learning from scratch, but aren’t sure where to start? I will attempt to condense all the resources I’ve used over the years into 7 steps that you can follow to teach yourself machine learning.
Machine Learning
- Master Transformers with This Free Stanford Course! - Sep 30, 2022.
If you want a deep dive on transformers, this Stanford course has made its courseware freely available, including lecture videos, readings, assignments, and more.
Machine Learning
- Beyond Pipelines: Graphs as Scikit-Learn Metaestimators - Sep 29, 2022.
Create manageable and scalable machine learning workflows with skdag.
Machine Learning
- Top 5 Machine Learning Practices Recommended by Experts - Sep 28, 2022.
This article is intended to help beginners improve their model structure by listing the best practices recommended by machine learning experts.
Machine Learning
- How to Correctly Select a Sample From a Huge Dataset in Machine Learning - Sep 27, 2022.
We explain how choosing a small, representative dataset from a large population can improve model training reliability.
Machine Learning
- More Performance Evaluation Metrics for Classification Problems You Should Know - Sep 20, 2022.
When building and optimizing your classification model, measuring how accurately it predicts your expected outcome is crucial. However, this metric alone is never the entire story, as it can still offer misleading results. That's where these additional performance evaluations come into play to help tease out more meaning from your model.
Machine Learning
- AWS AI & ML Scholarship Program Overview - Sep 19, 2022.
This scholarship program aims to help people who are underserved and that were underrepresented during high school and college - to then help them learn the foundations and concepts of Machine Learning and build a careers in AI and ML.
Machine Learning
- 7 Machine Learning Portfolio Projects to Boost the Resume - Sep 19, 2022.
Work on machine learning and deep learning portfolio projects to learn new skills and improve your chance of getting hired.
Machine Learning
- 5 Concepts You Should Know About Gradient Descent and Cost Function - Sep 16, 2022.
Why is Gradient Descent so important in Machine Learning? Learn more about this iterative optimization algorithm and how it is used to minimize a loss function.
Machine Learning
- An Intuitive Explanation of Collaborative Filtering - Sep 15, 2022.
The post introduces one of the most popular recommendation algorithms, i.e., collaborative filtering. It focuses on building an intuitive understanding of the algorithm illustrated with the help of an example.
Machine Learning
- Everything You’ve Ever Wanted to Know About Machine Learning - Sep 9, 2022.
Putting the fun in fundamentals! A collection of short videos to amuse beginners and experts alike.
Machine Learning
- Machine Learning Algorithms – What, Why, and How? - Sep 7, 2022.
This post explains why and when you need machine learning and concludes by listing the key considerations for choosing the correct machine learning algorithm.
Machine Learning
- Choosing the Right Clustering Algorithm for Your Dataset - Sep 7, 2022.
Applying a clustering algorithm is much easier than selecting the best one. Each type offers pros and cons that must be considered if you’re striving for a tidy cluster structure.
Machine Learning
- Visualizing Your Confusion Matrix in Scikit-learn - Sep 6, 2022.
Defining model evaluation metrics is crucial in ensuring that the model performs precisely for the purpose it is built. Confusion Matrix is one of the most popular and effective tools to evaluate the performance of the trained ML model. In this post, you will learn how to visualize the confusion matrix and interpret its output.
Machine Learning
- Decision Tree Pruning: The Hows and Whys - Sep 2, 2022.
Decision trees are a machine learning algorithm that is susceptible to overfitting. One of the techniques you can use to reduce overfitting in decision trees is pruning.
Machine Learning
- The Difference Between Training and Testing Data in Machine Learning - Aug 31, 2022.
When building a predictive model, the quality of the results depends on the data you use. In order to do so, you need to understand the difference between training and testing data in machine learning.
Machine Learning
- Machine Learning Metadata Store - Aug 31, 2022.
In this article, we will learn about metadata stores, the need for them, their components, and metadata store management.
Machine Learning
- A Complete Guide To Decision Tree Software - Aug 26, 2022.
Decision tree models are used to classify information into meaningful sequential results. Find out everything else you need to know here.
Machine Learning
- How to Package and Distribute Machine Learning Models with MLFlow - Aug 25, 2022.
MLFlow is a tool to manage the end-to-end lifecycle of a Machine Learning model. Likewise, the installation and configuration of an MLFlow service is addressed and examples are added on how to generate and share projects with MLFlow.
Machine Learning
- 7 Techniques to Handle Imbalanced Data - Aug 24, 2022.
This blog post introduces seven techniques that are commonly applied in domains like intrusion detection or real-time bidding, because the datasets are often extremely imbalanced.
Machine Learning
- The Bias-Variance Trade-off - Aug 24, 2022.
Understanding how these prediction errors work and how they can be used will help you build models that are not only accurate and perform well - but also avoid overfitting and underfitting.
Machine Learning
- Support Vector Machines: An Intuitive Approach - Aug 23, 2022.
This post focuses on building an intuition of the Support Vector Machine algorithm in a classification context and an in-depth understanding of how that graphical intuition can be mathematically represented in the form of a loss function. We will also discuss kernel tricks and a more useful variant of SVM with a soft margin.
Machine Learning
- Tuning Random Forest Hyperparameters - Aug 22, 2022.
Hyperparameter tuning is important for algorithms. It improves their overall performance of a machine learning model and is set before the learning process and happens outside of the model.
Machine Learning
- Implementing DBSCAN in Python - Aug 17, 2022.
Density-based clustering algorithm explained with scikit-learn code example.
Machine Learning
- How to Avoid Overfitting - Aug 17, 2022.
Overfitting is when a statistical model fits exactly against its training data. This leads to the model failing to predict future observations accurately.
Machine Learning
- Machine Learning Over Encrypted Data - Aug 16, 2022.
This blog outlines a solution to the Kaggle Titanic challenge that employs Privacy-Preserving Machine Learning (PPML) using the Concrete-ML open-source toolkit.
Machine Learning
- What Does ETL Have to Do with Machine Learning? - Aug 15, 2022.
ETL during the process of producing effective machine learning algorithms is found at the base - the foundation. Let’s go through the steps on how ETL is important to machine learning.
Machine Learning
- Data Transformation: Standardization vs Normalization - Aug 12, 2022.
Increasing accuracy in your models is often obtained through the first steps of data transformations. This guide explains the difference between the key feature scaling methods of standardization and normalization, and demonstrates when and how to apply each approach.
Machine Learning
- Tuning XGBoost Hyperparameters - Aug 11, 2022.
Hyperparameter tuning is about finding a set of optimal hyperparameter values which maximizes the model's performance, minimizes loss, and produces better outputs.
Machine Learning
- The Difference Between L1 and L2 Regularization - Aug 10, 2022.
Two types of regularized regression models are discussed here: Ridge Regression (L2 Regularization), and Lasso Regression (L1 Regularization)
Machine Learning
- 6 Ways Businesses Can Benefit From Machine Learning - Aug 9, 2022.
Machine learning is gaining popularity rapidly in the business world. Discover the ways that your business can benefit from machine learning.
Machine Learning
- How to Deal with Categorical Data for Machine Learning - Aug 4, 2022.
Check out this guide to implementing different types of encoding for categorical data, including a cheat sheet on when to use what type.
Machine Learning
- What are the Assumptions of XGBoost? - Aug 4, 2022.
In this article, you will learn: how boosting relates to XGBoost; the features of XGBoost; how it reduces the loss function value and overfitting.
Machine Learning
- Decision Trees vs Random Forests, Explained - Aug 2, 2022.
A simple, non-math heavy explanation of two popular tree-based machine learning models.
Machine Learning
- How ML Model Explainability Accelerates the AI Adoption Journey for Financial Services - Jul 29, 2022.
Explainability and good model governance reduce risk and create the framework for ethical and transparent AI in financial services that eliminates bias.
Machine Learning
- K-nearest Neighbors in Scikit-learn - Jul 28, 2022.
Learn about the k-nearest neighbours algorithm, one of the most prominent workhorse machine learning algorithms there is, and how to implement it using Scikit-learn in Python.
Machine Learning
- Is Domain Knowledge Important for Machine Learning? - Jul 27, 2022.
If you incorporate domain knowledge into your architecture and your model, it can make it a lot easier to explain the results, both to yourself and to an outside viewer. Every bit of domain knowledge can serve as a stepping stone through the black box of a machine learning model.
Machine Learning
- Detecting Data Drift for Ensuring Production ML Model Quality Using Eurybia - Jul 26, 2022.
This article will focus on a step-by-step data drift study using Eurybia an open-source python library
Machine Learning
- Does the Random Forest Algorithm Need Normalization? - Jul 25, 2022.
Normalization is a good technique to use when your data consists of being scaled and your choice of machine learning algorithm does not have the ability to make assumptions on the distribution of your data.
Machine Learning
- Using Scikit-learn’s Imputer - Jul 25, 2022.
Learn about Scikit-learn’s SimpleImputer, IterativeImputer, KNNImputer, and machine learning pipelines.
Machine Learning
- Practical Deep Learning from fast.ai is Back! - Jul 25, 2022.
Looking for a great course to go from machine learning zero to hero quickly? fast.ai has released the latest version of Practical Deep Learning For Coders. And it won't cost you a thing.
Machine Learning
- The Difficulty of Estimating the Carbon Footprint of Machine Learning - Jul 22, 2022.
Is machine learning killing the planet? Probably not, but let's make sure it doesn't.
Machine Learning
- When Would Ensemble Techniques be a Good Choice? - Jul 18, 2022.
When would ensemble techniques be a good choice? When you want to improve the performance of machine learning models - it’s that simple.
Machine Learning
- How Does Logistic Regression Work? - Jul 15, 2022.
Logistic regression is a machine learning classification algorithm that is used to predict the probability of certain classes based on some dependent variables
Machine Learning
- Why Use k-fold Cross Validation? - Jul 11, 2022.
Generalizing things is easy for us humans, however, it can be challenging for Machine Learning models. This is where Cross-Validation comes into the picture.
Machine Learning
- Boosting Machine Learning Algorithms: An Overview - Jul 8, 2022.
The combination of several machine learning algorithms is referred to as ensemble learning. There are several ensemble learning techniques. In this article, we will focus on boosting.
Machine Learning
- Ten Key Lessons of Implementing Recommendation Systems in Business - Jul 7, 2022.
We've been long working on improving the user experience in UGC products with machine learning. Following this article's advice, you will avoid a lot of mistakes when creating a recommendation system, and it will help to build a really good product.
Machine Learning
- Linear Machine Learning Algorithms: An Overview - Jul 1, 2022.
In this article, we’ll discuss several linear algorithms and their concepts.
Machine Learning
- Primary Supervised Learning Algorithms Used in Machine Learning - Jun 17, 2022.
In this tutorial, we are going to list some of the most common algorithms that are used in supervised learning along with a practical tutorial on such algorithms.
Machine Learning
- Deep Learning Key Terms, Explained - Jun 13, 2022.
Gain a beginner's perspective on artificial neural networks and deep learning with this set of 14 straight-to-the-point related key concept definitions.
Machine Learning
- A Structured Approach To Building a Machine Learning Model - Jun 10, 2022.
This article gives you a glimpse of how to approach a machine learning project with a clear outline of an easy-to-implement 5-step process.
Machine Learning
- How is Data Mining Different from Machine Learning? - Jun 8, 2022.
How about we take a closer look at data mining and machine learning so we know how to catch their different ends?
Machine Learning
- Genetic Algorithm Key Terms, Explained - Jun 6, 2022.
This article presents simple definitions for 12 genetic algorithm key terms, in order to help better introduce the concepts to newcomers.
Machine Learning
- How Activation Functions Work in Deep Learning - Jun 3, 2022.
Check out a this article for a better understanding of activation functions.
Machine Learning
- A Beginner’s Guide to Q Learning - Jun 3, 2022.
Learn the basics of Q-learning in this article, a model-free reinforcement learning algorithm.
Machine Learning
- How to Become a Machine Learning Engineer - May 30, 2022.
A machine learning engineer is a programmer proficient in building and designing software to automate predictive models. They have a deeper focus on computer science, compared to data scientists.
Machine Learning
- Weak Supervision Modeling, Explained - May 27, 2022.
This article dives into weak supervision modeling and truly understanding the label model.
Machine Learning
- Operationalizing Machine Learning from PoC to Production - May 20, 2022.
Most companies haven’t seen ROI from machine learning since the benefit is only realized when the models are in production. Here’s how to make sure your ML project works.
Machine Learning
- A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability - May 20, 2022.
We give a taxonomy of the trustworthy GNNs in privacy, robustness, fairness, and explainability. For each aspect, we categorize existing works into various categories, give general frameworks in each category, and more.
Machine Learning
- HuggingFace Has Launched a Free Deep Reinforcement Learning Course - May 17, 2022.
Hugging Face has released a free course on Deep RL. It is self-paced and shares a lot of pointers on theory, tutorials, and hands-on guides.
Machine Learning
- Popular Machine Learning Algorithms - May 16, 2022.
This guide will help aspiring data scientists and machine learning engineers gain better knowledge and experience. I will list different types of machine learning algorithms, which can be used with both Python and R.
Machine Learning
- Reinforcement Learning for Newbies - May 16, 2022.
A simple guide to reinforcement learning for a complete beginner. The blog includes definitions with examples, real-life applications, key concepts, and various types of learning resources.
Machine Learning
- Centroid Initialization Methods for k-means Clustering - May 13, 2022.
This article is the first in a series of articles looking at the different aspects of k-means clustering, beginning with a discussion on centroid initialization.
Machine Learning
- The “Hello World” of Tensorflow - May 13, 2022.
In this article, we will build a beginner-friendly machine learning model using TensorFlow.
Machine Learning
- Deep Learning For Compliance Checks: What’s New? - May 12, 2022.
By implementing the different NLP techniques into the production processes, compliance departments can maintain detailed checks and keep up with regulator demands.
Machine Learning
- 5 Free Hosting Platform For Machine Learning Applications - May 12, 2022.
Learn about the free and easy-to-deploy hosting platform for your machine learning projects.
Machine Learning
- Machine Learning’s Sweet Spot: Pure Approaches in NLP and Document Analysis - May 10, 2022.
While it is true that Machine Learning today isn’t ready for prime time in many business cases that revolve around Document Analysis, there are indeed scenarios where a pure ML approach can be considered.
Machine Learning
- Machine Learning Key Terms, Explained - May 9, 2022.
Read this overview of 12 important machine learning concepts, presented in a no frills, straightforward definition style.
Machine Learning
- Everything You Need to Know About Tensors - May 6, 2022.
In this article, we will cover the basics of the tensors.
Machine Learning
- Image Classification with Convolutional Neural Networks (CNNs) - May 4, 2022.
In this article, we’ll look at what Convolutional Neural Networks are and how they work.
Machine Learning
- Top 10 Machine Learning Demos: Hugging Face Spaces Edition - May 2, 2022.
Hugging Face Spaces allows you to have an interactive experience with the machine learning models, and we will be discovering the best application to get some inspiration.
Machine Learning
- MLOps: The Best Practices and How To Apply Them - Apr 28, 2022.
Here are some of the best practices for implementing MLOps successfully.
Machine Learning
- A Simple Guide to Machine Learning Visualisations - Apr 26, 2022.
Create simple, effective machine learning plots with Yellowbrick
Machine Learning
- Optimizing Genes with a Genetic Algorithm - Apr 22, 2022.
In the simplest terms genetic algorithms simulate a population where each individual is a possible “solution” and let survival of the fittest do its thing.
Machine Learning
- A Community for Synthetic Data is Here and This is Why We Need It - Apr 22, 2022.
The first open-source platform for synthetic data is here to help educate the broader machine learning and computer vision communities on the emerging technology.
Machine Learning
- Machine Learning Books You Need To Read In 2022 - Apr 21, 2022.
I have a list of Machine Learning books you need to read in 2022; beginner, intermediate, expert, and for everybody.
Machine Learning
- Deploy a Machine Learning Web App with Heroku - Apr 18, 2022.
In this article, you will learn to deploy a fully functional ML web application in under 3 minutes.
Machine Learning
- Nearest Neighbors for Classification - Apr 12, 2022.
Learn about the K-Nearest Neighbors machine learning algorithm for classification.
Machine Learning
- Naïve Bayes Algorithm: Everything You Need to Know - Apr 8, 2022.
Naïve Bayes is a probabilistic machine learning algorithm based on the Bayes Theorem, used in a wide variety of classification tasks. In this article, we will understand the Naïve Bayes algorithm and all essential concepts so that there is no room for doubts in understanding.
Machine Learning
- 4 Factors to Identify Machine Learning Solvable Problems - Apr 6, 2022.
The near future holds incredible possibility for machine learning to solve real world problems. But we need to be be able to determine which problems are solvable by ML and which are not.
Machine Learning
- Logistic Regression for Classification - Apr 4, 2022.
Deep dive into Logistic Regression with practical examples.
Machine Learning
- DBSCAN Clustering Algorithm in Machine Learning - Apr 4, 2022.
An introduction to the DBSCAN algorithm and its implementation in Python.
Machine Learning
- What is an MLOps Engineer? - Apr 1, 2022.
And why you should consider becoming one.
Machine Learning
- Machine Learning Pipeline Optimization with TPOT - Mar 31, 2022.
Let's revisit the automated machine learning project TPOT, and get back up to speed on using open source AutoML tools on our way to building a fully-automated prediction pipeline.
Machine Learning
- Loss Functions: An Explainer - Mar 31, 2022.
A loss function measures how wrong the model is in terms of its ability to estimate the relationship between x and y. Find out about several common loss functions here.
Machine Learning
- Time Series Forecasting with Ploomber, Arima, Python, and Slurm - Mar 29, 2022.
In this blog you will see how the authors took a raw .ipynb notebook that does time series forecasting with Arima, modularized it into a Ploomber pipeline, and ran parallel jobs on Slurm.
Machine Learning
- MLOps Is a Mess But That’s to be Expected - Mar 25, 2022.
In this post, I want to focus the discussion about the state of machine learning operations (MLOps) today, where we are, where we are going.
Machine Learning
- WTF is a Tensor?!? - Mar 24, 2022.
A tensor is a container which can house data in N dimensions, along with its linear operations, though there is nuance in what tensors technically are and what we refer to as tensors in practice.
Machine Learning
- A New Way of Managing Deep Learning Datasets - Mar 23, 2022.
Create, version-control, query, and visualize image, audio, and video datasets using Hub 2.0 by Activeloop.
Machine Learning
- Risk Management Framework for AI/ML Models - Mar 23, 2022.
How sound risk management acts as a catalyst to building successful AI/ML models.
Machine Learning
- DIY Automated Machine Learning with Streamlit - Mar 22, 2022.
In this article, we will create an automated machine learning web app you can actually use.
Machine Learning
- Linear vs Logistic Regression: A Succinct Explanation - Mar 21, 2022.
Linear Regression and Logistic Regression are two well-used Machine Learning Algorithms that both branch off from Supervised Learning. Linear Regression is used to solve Regression problems whereas Logistic Regression is used to solve Classification problems. Read more here.
Machine Learning
- From Google Colab to a Ploomber Pipeline: ML at Scale with GPUs - Mar 17, 2022.
In this short blog, we’ll review the process of taking a POC data science pipeline (ML/Deep learning/NLP) that was conducted on Google Colab, and transforming it into a pipeline that can run parallel at scale and works with Git so the team can collaborate on.
Machine Learning
- Machine Learning Algorithms for Classification - Mar 14, 2022.
In this article, we will be going through the algorithms that can be used for classification tasks.
Machine Learning
- The Significance of Data Quality in Making a Successful Machine Learning Model - Mar 10, 2022.
Good quality data becomes imperative and a basic building block of an ML pipeline. The ML model can only be as good as its training data.
Machine Learning
- How To Use Synthetic Data To Overcome Data Shortages For Machine Learning Model Training - Mar 9, 2022.
It takes time and considerable resources to collect, document, and clean data before it can be used. But there is a way to address this challenge – by using synthetic data.
Machine Learning
- Building a Tractable, Feature Engineering Pipeline for Multivariate Time Series - Mar 8, 2022.
A time series feature engineering pipeline requires different transformations such as imputation and window aggregation, which follows a sequence of stages. This article demonstrates the building of a pipeline to derive multivariate time series features such that the features can then be easily tracked and validated.
Machine Learning
- Build a Machine Learning Web App in 5 Minutes - Mar 7, 2022.
In this article, you will learn to export your models and use them outside a Jupyter Notebook environment. You will build a simple web application that is able to feed user input into a machine learning model, and display an output prediction to the user.
Machine Learning
- 3 Reasons Why You Should Use Linear Regression Models Instead of Neural Networks - Mar 4, 2022.
While there may always seem to be something new, cool, and shiny in the field of AI/ML, classic statistical methods that leverage machine learning techniques remain powerful and practical for solving many real-world business problems.
Machine Learning
- What is Adversarial Machine Learning? - Mar 3, 2022.
In the Cybersecurity sector Adversarial machine learning attempts to deceive and trick models by creating unique deceptive inputs, to confuse the model resulting in a malfunction in the model.
Machine Learning
- Top 3 Free Resources to Learn Linear Algebra for Machine Learning - Mar 3, 2022.
This article will solely focus on learning linear algebra, as it forms the backbone of machine learning model implementation.
Machine Learning
- How to Create a Dataset for Machine Learning - Feb 28, 2022.
Datasets - properly curated and labeled - remain a scarce resource. What can be done about this?
Machine Learning
- Essential Machine Learning Algorithms: A Beginner’s Guide - Feb 22, 2022.
Machine Learning as a technology, ensures that our current gadgets and their software get smarter by the day. Here are the algorithms that you ought to know about to understand Machine Learning’s varied and extensive functionalities and their effectiveness.
Machine Learning
- The Challenges of Creating Features for Machine Learning - Feb 21, 2022.
What are the challenges of creating features for machine learning and how can we mitigate them.
Machine Learning
- How You Can Use Machine Learning to Automatically Label Data - Feb 18, 2022.
AI and machine learning can provide us with these tools. This guide will explore how we can use machine learning to label data.
Machine Learning
- An Easy Guide to Choose the Right Machine Learning Algorithm - Feb 17, 2022.
There's no free lunch in machine learning. So, determining which algorithm to use depends on many factors from the type of problem at hand to the type of output you are looking for. This guide offers several considerations to review when exploring the right ML approach for your dataset.
Machine Learning
- No Brainer AutoML with AutoXGB - Feb 17, 2022.
Learn how to train, optimize, and build API with a few lines of code using AutoXGB.
Machine Learning
- Free MIT Courses on Calculus: The Key to Understanding Deep Learning - Feb 14, 2022.
Calculus is the key to fully understanding how neural networks function. Go beyond a surface understanding of this mathematics discipline with these free course materials from MIT.
Machine Learning
- Top 5 Free Machine Learning Courses - Feb 14, 2022.
Give a boost to your career and learn job-ready machine learning skills by taking the best free online courses.
Machine Learning
- How to Learn Math for Machine Learning - Feb 11, 2022.
So how much math do you need to know in order to work in the data science industry? The answer: Not as much as you think.
Machine Learning
- Decision Tree Algorithm, Explained - Feb 9, 2022.
All you need to know about decision trees and how to build and optimize decision tree classifier.
Machine Learning
- An Overview of Logistic Regression - Feb 4, 2022.
Logistic regression is an extension of linear regression to solve classification problems. Read more on the specifics of this algorithm here.
Machine Learning
- Effective Testing for Machine Learning - Jan 31, 2022.
Given how uncertain ML projects are, this is an incremental strategy that you can adopt as your project matures; it includes test examples to provide a clear idea of how these tests look in practice, and a complete project implementation is available on GitHub. By the end of the post, you’ll be able to develop more robust ML pipelines.
Machine Learning
- Learn Machine Learning 4X Faster by Participating in Competitions - Jan 25, 2022.
Participating in competitions has taught me everything about machine learning and how It can help you learn multiple domains faster than online courses.
Machine Learning
- 3 Reasons Why Data Scientists Should Use LightGBM - Jan 24, 2022.
There are many great boosting Python libraries for data scientists to reap the benefits of. In this article, the author discusses LightGBM benefits and how they are specific to your data science job.
Machine Learning
- Transfer Learning for Image Recognition and Natural Language Processing - Jan 14, 2022.
Read the second article in this series on Transfer Learning, and learn how to apply it to Image Recognition and Natural Language Processing.
Machine Learning
- A (Much) Better Approach to Evaluate Your Machine Learning Model - Jan 12, 2022.
Using one or two performance metrics seems sufficient to claim that your ML model is good — chances are that it’s not.
Machine Learning
- Interpretable Neural Networks with PyTorch - Jan 11, 2022.
Learn how to build feedforward neural networks that are interpretable by design using PyTorch.
Machine Learning
- A Full End-to-End Deployment of a Machine Learning Algorithm into a Live Production Environment - Jan 11, 2022.
How to use scikit-learn, pickle, Flask, Microsoft Azure and ipywidgets to fully deploy a Python machine learning algorithm into a live, production environment.
Machine Learning
- What is Transfer Learning? - Jan 5, 2022.
During transfer learning, the knowledge leveraged and rapid progress from a source task is used to improve the learning and development to a new target task. Read on for a deeper dive on the subject.
Machine Learning
- Why Do Machine Learning Models Die In Silence? - Jan 5, 2022.
A critical problem for companies when integrating machine learning in their business processes is not knowing why they don't perform well after a while. The reason is called concept drift. Here's an informational guide to understanding the concept well.
Machine Learning
- Hands-on Reinforcement Learning Course Part 3: SARSA - Jan 3, 2022.
This is part 3 of my hands-on course on reinforcement learning, which takes you from zero to HERO . Today we will learn about SARSA, a powerful RL algorithm.
Machine Learning
- 4 Reasons Why You Shouldn’t Use Machine Learning - Dec 29, 2021.
It's time to learn: machine learning is not a Swiss Army knife.
Advice, Machine Learning
