KDnuggets

JANUARY 16, 2020

This post is about fast-tracking the study and explanation of tree concepts for the data scientists so that you breeze through the next time you get asked these in an interview.

Data Science 346

Data Science Algorithm Data Scientist Decision Trees 346

Data Science Dojo

AUGUST 27, 2024

Data scientists use data to uncover patterns, trends, and insights that can help businesses make better decisions. A data scientist could analyze sales data, customer surveys, and social media trends to determine the reason. Handling Uncertainty: Data is often messy and incomplete.

Data Scientist 195

Data Scientist Data Science Machine Learning Machine Learning 195

Towards AI

OCTOBER 3, 2024

A Comprehensive AI Guide All Machine Learning Engineers and Data Scientists Should Read! This is the essence of a decision tree—one of today’s most intuitive and powerful machine learning algorithms. Join thousands of data leaders on the AI newsletter. This member-only story is on us.

Decision Trees 105

Decision Trees Machine Learning Machine Learning Algorithm 105

Dataconomy

JULY 24, 2023

If you’ve found yourself asking, “How to become a data scientist?” In this detailed guide, we’re going to navigate the exciting realm of data science, a field that blends statistics, technology, and strategic thinking into a powerhouse of innovation and insights. What is a data scientist?

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Data Scientist Data Science Data Analyst Machine Learning 172

insideBIGDATA

APRIL 6, 2024

In this video presentation, our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, is joined by Kirill Eremenko to walk listeners through why decision trees and random forests are fruitful for businesses, and he offers hands-on walkthroughs for the three leading gradient-boosting algorithms today: XGBoost, (..)

Decision Trees 195

Decision Trees Data Scientist Machine Learning Machine Learning 195

Data Science Dojo

AUGUST 6, 2024

As the artificial intelligence landscape keeps rapidly changing, boosting algorithms have presented us with an advanced way of predictive modelling by allowing us to change how we approach complex data problems across numerous sectors. These algorithms excel at creating powerful predictive models by combining multiple weak learners.

Machine Learning 195

Machine Learning Machine Learning Algorithm ML 195

Data Science Dojo

AUGUST 9, 2024

In data science and machine learning, decision trees are powerful models for both classification and regression tasks. It is a measure of impurity (non-homogeneity) widely used in decision trees. Entropy is more commonly used in theoretical discussions and algorithms like C4.5 What is the Gini Index?

Decision Trees 195

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Towards AI

NOVEMBER 6, 2024

This story explores CatBoost, a powerful machine-learning algorithm that handles both categorical and numerical data easily. CatBoost is a powerful, gradient-boosting algorithm designed to handle categorical data effectively. But what if we could predict a student’s engagement level before they begin?

Cross Validation 114

Cross Validation Decision Trees Algorithm Machine Learning 114

Data Science Dojo

AUGUST 11, 2023

Statistics: Unveiling the patterns within data Statistics serves as the bedrock of data science, providing the tools and techniques to collect, analyze, and interpret data. It equips data scientists with the means to uncover patterns, trends, and relationships hidden within complex datasets.

Data Science 195

Data Science Python Data Scientist Decision Trees 195

Dataconomy

APRIL 21, 2025

They influence the choice of algorithms and the structure of models. During the data preprocessing phase, handling categorical data can consume considerable time for data scientists, making it a crucial aspect of model preparation. This step is crucial for achieving optimal model performance.

Machine Learning 91

Machine Learning Machine Learning Algorithm Decision Trees 91

Dataconomy

MARCH 17, 2025

By identifying patterns within the data, it helps organizations anticipate trends or events, making it a vital component of predictive analytics. Through various statistical methods and machine learning algorithms, predictive modeling transforms complex datasets into understandable forecasts.

Decision Trees 91

Decision Trees Predictive Analytics Data Preparation Machine Learning 91

Data Science Dojo

JULY 7, 2023

This discipline takes raw data, deciphers it, and turns it into a digestible format using various tools and algorithms. Tools such as Python, R, and SQL help to manipulate and analyze data. Understanding algorithms is like mastering maps, with each algorithm offering different paths to solutions.

Data Science 195

Data Science Data Scientist Python Decision Trees 195

phData

MAY 19, 2023

But in its raw form, this data is just noise until it is analyzed and transformed into meaningful information. This is where data science steps in. As an interdisciplinary field, data science leverages scientific methods, algorithms, and systems to extract insights from structured and unstructured data.

Decision Trees 52

Decision Trees Data Science Machine Learning Machine Learning 52

Data Science Dojo

AUGUST 30, 2023

Applied Data Science However, Applied Data Science, a subset of Data Science, offers a more practical and industry-specific approach. But what are the key concepts and methodologies involved in Applied Data Science? An Applied Data Scientist must have a solid understanding of statistics to interpret data correctly.

Data Science 195

Data Science Hypothesis Testing Machine Learning Machine Learning 195

Pickl AI

FEBRUARY 2, 2025

It identifies hidden patterns in data, making it useful for decision-making across industries. Compared to decision trees and SVM, it provides interpretable rules but can be computationally intensive. Key applications include fraud detection, customer segmentation, and medical diagnosis.

Data Mining 52

Data Mining Data Mining Data Mining Decision Trees 52

Dataconomy

MARCH 12, 2025

Their ability to handle high-dimensional spaces and to create precise models in varied environments captures the interest of many data scientists and analysts. Support Vector Machines (SVM) are a type of supervised learning algorithm designed for classification and regression tasks. What are Support Vector Machines (SVM)?

Support Vector Machines 91

Support Vector Machines Decision Trees Supervised Learning Machine Learning 91

Data Science Dojo

JULY 23, 2024

ML models often require numerical input, so categorical data must be converted into a numerical format for effective processing and analysis. Here are some key points highlighting the importance of categorical data in machine learning: 1. This conversion allows models to process the data and extract valuable information.

Machine Learning 195

Machine Learning Machine Learning Algorithm ML 195

Pickl AI

SEPTEMBER 16, 2024

Summary: This blog highlights ten crucial Machine Learning algorithms to know in 2024, including linear regression, decision trees, and reinforcement learning. Each algorithm is explained with its applications, strengths, and weaknesses, providing valuable insights for practitioners and enthusiasts in the field.

Machine Learning 52

Machine Learning Machine Learning Algorithm Decision Trees 52

Pickl AI

NOVEMBER 2, 2023

A cheat sheet for Data Scientists is a concise reference guide, summarizing key concepts, formulas, and best practices in Data Analysis, statistics, and Machine Learning. It serves as a handy quick-reference tool to assist data professionals in their work, aiding in data interpretation, modeling , and decision-making processes.

Data Scientist 52

Data Scientist Data Science Data Visualization Machine Learning 52

Pickl AI

APRIL 28, 2023

A Data Scientist’s average salary in India is up to₹ 8.0 Well, one of the key factors drawing attention towards the Data Scientist job profile is the higher pay package. In fact, the highest salary of a Data Scientist in India can be up to ₹ 26.0 Data Scientist Salary in Hyderabad : ₹ 8.0

Data Scientist 52

Data Scientist Data Science Hypothesis Testing Decision Trees 52

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

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Mlearning.ai

MARCH 13, 2023

Photo by Andy Kelly on Unsplash Choosing a machine learning (ML) or deep learning (DL) algorithm for application is one of the major issues for artificial intelligence (AI) engineers and also data scientists. Explore algorithms: Research and explore different algorithms that are desired for your problem.

Machine Learning 52

Machine Learning Machine Learning Algorithm Support Vector Machines 52

IBM Journey to AI blog

DECEMBER 20, 2023

Each type and sub-type of ML algorithm has unique benefits and capabilities that teams can leverage for different tasks. Instead of using explicit instructions for performance optimization, ML models rely on algorithms and statistical models that deploy tasks based on data patterns and inferences. What is machine learning?

Machine Learning 92

Machine Learning Machine Learning Supervised Learning Clustering 92

Smart Data Collective

JUNE 7, 2019

Both of these types of learning are used by machine learning algorithms in modern task management applications. Here is an overview of the supervised learning algorithms that are frequently employed by task management tools. In this way, the degree of “success” of the algorithm can be known. Logistic Regression.

Machine Learning 101

Machine Learning Machine Learning Supervised Learning Support Vector Machines 101

DrivenData Labs

MAY 24, 2023

Currently pursuing graduate studies at NYU's center for data science. Alejandro Sáez: Data Scientist with consulting experience in the banking and energy industries currently pursuing graduate studies at NYU's center for data science. What motivated you to compete in this challenge?

Machine Learning 225

Machine Learning Machine Learning Data Science Decision Trees 225

Pickl AI

SEPTEMBER 30, 2024

Summary: Random Forest is an effective Machine Learning algorithm known for its high accuracy and robustness. Introduction Random Forest is a powerful ensemble learning algorithm widely used in Machine Learning for classification and regression tasks. A single decision tree can be prone to errors and overfitting.

Decision Trees 52

Decision Trees Algorithm Machine Learning Machine Learning 52

ODSC - Open Data Science

JANUARY 7, 2025

Heres what we noticed from analyzing this data, highlighting whats remained the same over the years, and what additions help make the modern data scientist in2025. Data Science Of course, a data scientist should know data science! Joking aside, this does infer particular skills.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40

Mlearning.ai

NOVEMBER 30, 2023

Mastering Tree-Based Models in Machine Learning: A Practical Guide to Decision Trees, Random Forests, and GBMs Image created by the author on Canva Ever wondered how machines make complex decisions? Just like a tree branches out, tree-based models in machine learning do something similar. So buckle up!

Machine Learning 52

Machine Learning Machine Learning Decision Trees Data Science 52

Ocean Protocol

NOVEMBER 28, 2024

Introduction The Formula 1 Prediction Challenge: 2024 Mexican Grand Prix brought together data scientists to tackle one of the most dynamic aspects of racing — pit stop strategies. Data scientists maintain their intellectual property rights while we provide support in monetizing their innovations.

Cross Validation 85

Cross Validation Decision Trees Data Scientist Data Science 85

ODSC - Open Data Science

NOVEMBER 30, 2023

Explainable AI (XAI) refers to AI that explains how, where, and why it produces decisions. XAI coincides with white-box models, which detail the results the algorithms have. It uses data mining techniques like decision trees and rule-based systems to generate correct responses.

AI 94

AI AI Data Scientist Decision Trees 94

Mlearning.ai

APRIL 13, 2023

Photo by Robo Wunderkind on Unsplash In general , a data scientist should have a basic understanding of the following concepts related to kernels in machine learning: 1. Support Vector Machine Support Vector Machine ( SVM ) is a supervised learning algorithm used for classification and regression analysis. What are kernels?

Machine Learning 52

Machine Learning Machine Learning Data Scientist Support Vector Machines 52

Ocean Protocol

MAY 2, 2024

Podium : Venture Capital Investments Data Challenge Introduction The Venture Capital Investments Challenge engaged data scientists and analysts to decode the complexities of startup funding and success. Data scientists retain their intellectual property rights while we offer assistance in monetizing their creations.

Data Scientist 105

Data Scientist Decision Trees Analytics Analytics 105

Pickl AI

MARCH 20, 2024

Summary: The role of a Data Scientist has emerged as one of the most coveted and lucrative professions across industries. Combining a blend of technical and non-technical skills, a Data Scientist navigates through vast datasets, extracting valuable insights that drive strategic decisions.

Data Science 52

Data Science Data Scientist Data Wrangling Machine Learning 52

ODSC - Open Data Science

MAY 31, 2023

A very common pattern for building machine learning infrastructure is to ingest data via Kafka into a data lake. From there, a machine learning framework like TensorFlow, H2O, or Spark MLlib uses the historical data to train analytic models with algorithms like decision trees, clustering, or neural networks.

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Data Lakes Machine Learning Machine Learning Apache Kafka 131

Pickl AI

MAY 10, 2023

Machine Learning is a subset of Artificial Intelligence and Computer Science that makes use of data and algorithms to imitate human learning and improving accuracy. Being an important component of Data Science, the use of statistical methods are crucial in training algorithms in order to make classification.

Clustering 52

Clustering Decision Trees Machine Learning Machine Learning 52

Mlearning.ai

APRIL 10, 2023

So without any further due, let’s do it… Read the full article here —  [link] Lazypredict LazyPredict is a Python package that helps data scientists quickly build supervised machine-learning models without having to spend time on the tedious and time-consuming task of exploring various algorithms and optimizing hyperparameters.

Python 52

Python ML ML Data Scientist 52

Pickl AI

DECEMBER 9, 2024

Summary: Inductive bias in Machine Learning refers to the assumptions guiding models in generalising from limited data. By managing inductive bias effectively, data scientists can improve predictions, ensuring models are robust and well-suited for real-world applications.

Machine Learning 52

Machine Learning Machine Learning Decision Trees Natural Language Processing 52