Articles About Machine Learning

5 DIY Python Functions for Data Cleaning

Image by Author | Midjourney Data cleaning: whether you love it or hate it, you likely spend a lot of time doing it. It’s what we signed up for. There’s no understanding, analyzing, or modeling data without first cleaning it. Making sure we have reusable tools handy for data cleaning is essential. To that end, here are 5 DIY functions to give you a some examples and starting points for building up your own data cleaning tool chest. The functions […]

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7 Key Terms Every Machine Learning Beginner Should Know

Image by Editor | Midjourney & Canva If you’re new to machine learning, understanding basic terms is crucial. Knowing key terms can help you understand the basics better. Here are 7 essential terms every beginner should know. These terms will give you a solid foundation to build your machine learning knowledge. 1. Algorithm An algorithm is a set of rules a computer uses to solve a problem. It finds patterns in data and makes predictions. There are several types of […]

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7 Free Resource to Master LLMs

Image by Editor | Midjourney Large Language Models (LLMs) are a hot topic right now, and everyone is getting involved in this new trend. Companies are searching for LLM engineers who can develop and implement AI solutions to optimize their workflow and reduce costs through automation, customer service, recommendations, issue resolution, and debugging. Instead of worrying that AI will take your job, why not upskill and join the race? In this blog, we will provide a review of free courses, […]

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5 Challenges in Machine Learning Adoption and How to Overcome Them

Image by Author | Created on Canva Machine learning presents transformative opportunities for businesses and organizations across various industries. From improving customer experiences to optimizing operations and driving innovation, the applications of machine learning are vast. However, adopting machine learning solutions is not without challenges. These challenges span across data quality, technical complexities, infrastructure requirements, and cost constraints amongst others. Understanding these challenges is important to come up with effective strategies to adopt ML solutions. Challenges in ML Adoption | […]

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Introduction to AutoML: Automating Machine Learning Workflows

Image by Author AutoML is a tool designed for both technical and non-technical experts. It simplifies the process of training machine learning models. All you have to do is provide it with the dataset, and in return, it will provide you with the best-performing model for your use case. You don’t have to code for long hours or experiment with various techniques; it will do everything on its own for you. In this tutorial, we will learn about AutoML and […]

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Understanding LangChain LLM Output Parser

The large Language Model, or LLM, has revolutionized how people work. By helping users generate the answer from a text prompt, LLM can do many things, such as answering questions, summarizing, planning events, and more. However, there are times when the output from LLM is not up to our standard. For example, the text generated could be thoroughly wrong and need further direction. This is where the LLM Output Parser could help. By standardizing the output result with LangChain Output […]

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Using Machine Learning in Customer Segmentation

Image by Editor | Midjourney In the past, businesses grouped customers based on simple things like age or gender. Now, machine learning has changed this process. Machine learning algorithms can analyze large amounts of data. In this article, we will explore how machine learning improves customer segmentation. Introduction to Customer Segmentation Customer segmentation divides customers into different groups. These groups are based on similar traits or behaviors. The main goal is to understand each group better. This helps businesses create […]

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Tips for Effectively Training Your Machine Learning Models

Image by Editor | Midjourney In machine learning projects, achieving optimal model performance requires paying attention to various steps in the training process. But before focusing on the technical aspects of model training, it is important to define the problem, understand the context, and analyze the dataset in detail. Once you have a solid grasp of the problem and data, you can proceed to implement strategies that’ll help you build robust and efficient models. Here, we outline five actionable tips […]

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5 Tips for Getting Started with Deep Learning

Image by Author | Midjourney Deep learning is a subset of machine learning that has become a cornerstone in many technological breakthroughs. At the core of deep learning, it’s a model inspired by the human brain, which we call a neural network. Contrary to the traditional machine learning model, deep learning can automatically find feature representations from data. That’s why many domains, including computer vision, speech recognition, text generation, and many more, use deep learning as their technology basis. With […]

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Principles of Reinforcement Learning: An Introduction with Python

Image by Editor | Midjourney Reinforcement Learning (RL) is a type of machine learning. It trains an agent to make decisions by interacting with an environment. This article covers the basic concepts of RL. These include states, actions, rewards, policies, and the Markov Decision Process (MDP). By the end, you will understand how RL works. You will also learn how to implement it in Python. Key Concepts in Reinforcement Learning Reinforcement Learning (RL) involves several core ideas that shape how […]

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