KDnuggets

DECEMBER 23, 2021

Data Science models come with different flavors and techniques — luckily, most advanced models are based on a couple of fundamentals. Which models should you learn when you want to begin a career as Data Scientist?

Data Scientist 400

Data Scientist Data Science Algorithm Machine Learning 400

KDnuggets

SEPTEMBER 18, 2019

Algorithms are at the core of data science and sampling is a critical technical that can make or break a project. Learn more about the most common sampling techniques used, so you can select the best approach while working with your data.

Algorithm 299

Algorithm Data Scientist Data Science 299

Dataconomy

MARCH 5, 2020

The post Why Data Scientists Must Be Able to Explain Their Algorithms appeared first on Dataconomy. That means they need to understand what you’ve created, how it works, and what its limitations are. They can’t do any of these things if it’s all one big mystery they don’t understand. I’m afraid.

Data Scientist 230

Data Scientist Algorithm Big Data Big Data 230

Data Science Dojo

MAY 24, 2023

Machine learning practices are the guiding principles that transform raw data into powerful insights. By following best practices in algorithm selection, data preprocessing, model evaluation, and deployment, we unlock the true potential of machine learning and pave the way for innovation and success. The amount of data you have.

Machine Learning 364

Machine Learning Machine Learning Data Scientist Support Vector Machines 364

KDnuggets

APRIL 13, 2022

Python Libraries Data Scientists Should Know in 2022; Naïve Bayes Algorithm: Everything You Need to Know; Data Ingestion with Pandas: A Beginner Tutorial; Data Science Interview Guide - Part 1: The Structure; 5 Ways to Expand Your Knowledge in Data Science Beyond Online Courses.

Data Scientist 271

Data Scientist Algorithm Python Data Science 271

Data Science Dojo

AUGUST 27, 2024

Want to know how to become a Data scientist? 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. Normalization: Making data consistent and comparable.

Data Scientist 273

Data Scientist Data Science Machine Learning Machine Learning 273

KDnuggets

APRIL 18, 2022

Also: Decision Tree Algorithm, Explained; Naïve Bayes Algorithm: Everything You Need to Know; Why Are So Many Data Scientists Quitting Their Jobs?; Top Programming Languages and Their Uses.

Data Scientist 268

Data Scientist Decision Trees Algorithm Python 268

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 354

Data Science Algorithm Data Scientist Decision Trees 354

KDnuggets

SEPTEMBER 28, 2022

Free Algorithms in Python Course • Lessons from a Senior Data Scientist • The Absolute Basics of MLOps • Data Analyst Skills You Need for Your Next Promotion • Dimensionality Reduction Techniques in Data Science.

Data Scientist 282

Data Scientist Data Analyst Data Science Python 282

Analytics Vidhya

JUNE 12, 2023

Introduction Meet Tajinder, a seasoned Senior Data Scientist and ML Engineer who has excelled in the rapidly evolving field of data science. Tajinder’s passion for unraveling hidden patterns in complex datasets has driven impactful outcomes, transforming raw data into actionable intelligence.

Data Scientist 306

Data Scientist Machine Learning Machine Learning Data Science 306

Analytics Vidhya

SEPTEMBER 11, 2019

Overview A data-science-driven product consists of multiple aspects every leader needs to be aware of Machine learning algorithms are one part of a whole. The post 4 Key Aspects of a Data Science Project Every Data Scientist and Leader Should Know appeared first on Analytics Vidhya.

Data Scientist 282

Data Scientist Data Science Machine Learning Machine Learning 282

Analytics Vidhya

JANUARY 1, 2023

The post Step-by-Step Guide to Become a Data Scientist in 2023 appeared first on Analytics Vidhya. Despite facing many challenges and setbacks, they never gave up on their dream. Eventually, their hard work and determination paid off, as they landed […].

Data Scientist 303

Data Scientist Analytics Analytics Data Analysis 303

KDnuggets

OCTOBER 4, 2022

Free Algorithms in Python Course • How to Select Rows and Columns in Pandas • Lessons from a Senior Data Scientist • A Day in the Life of a Data Scientist: Expert vs. Beginner • 7 Machine Learning Portfolio Projects to Boost the Resume.

Algorithm 271

Algorithm Python Data Scientist Machine Learning 271

Dataconomy

APRIL 4, 2025

Clustering algorithms play a vital role in the landscape of machine learning, providing powerful techniques for grouping various data points based on their intrinsic characteristics. Their effectiveness in working with unstructured data opens up a myriad of applications ranging from market segmentation to social media analysis.

Clustering 91

Clustering Algorithm Machine Learning Machine Learning 91

Towards AI

NOVEMBER 9, 2024

Photo by ThisisEngineering on Unsplash Gradient Descent is a fundamental optimization algorithm used in machine learning to minimize a function by iteratively moving in the direction of steepest descent. It’s particularly useful in training models with large datasets, as it efficiently finds the minimum of a cost function.

Data Scientist 119

Data Scientist Machine Learning Machine Learning Data Science 119

KDnuggets

DECEMBER 22, 2021

Write Clean Python Code Using Pipes; 5 Key Skills Needed To Become a Great Data Scientist; A Full End-to-End Deployment of a Machine Learning Algorithm into a Live Production Environment; The 5 Characteristics of a Successful Data Scientist; Top Resources for Learning Statistics for Data Science.

Data Scientist 271

Data Scientist Python Data Science Machine Learning 271

Data Science Dojo

OCTOBER 31, 2024

For data scientists, this shift has opened up a global market of remote data science jobs, with top employers now prioritizing skills that allow remote professionals to thrive. Here’s everything you need to know to land a remote data science job, from advanced role insights to tips on making yourself an unbeatable candidate.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

KDnuggets

JUNE 20, 2022

Also: Decision Tree Algorithm, Explained; 15 Python Coding Interview Questions You Must Know For Data Science; Naïve Bayes Algorithm: Everything You Need to Know; Primary Supervised Learning Algorithms Used in Machine Learning.

Decision Trees 323

Decision Trees Supervised Learning Data Scientist Machine Learning 323

KDnuggets

MAY 30, 2022

Also: Decision Tree Algorithm, Explained; Data Science Projects That Will Land You The Job in 2022; The 6 Python Machine Learning Tools Every Data Scientist Should Know About; Naïve Bayes Algorithm: Everything You Need to Know.

Data Science 400

Data Science Decision Trees Data Scientist Machine Learning 400

Data Science Dojo

JUNE 10, 2024

Data scientists are continuously advancing with AI tools and technologies to enhance their capabilities and drive innovation in 2024. The integration of AI into data science has revolutionized the way data is analyzed, interpreted, and utilized. Have you used voice assistants like Siri or Alexa?

Data Scientist 195

Data Scientist Natural Language Processing Machine Learning Machine Learning 195

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

KDnuggets

JULY 20, 2022

14 Essential Git Commands for Data Scientists • Statistics and Probability for Data Science • 20 Basic Linux Commands for Data Science Beginners • 3 Ways Understanding Bayes Theorem Will Improve Your Data Science • Learn MLOps with This Free Course • Primary Supervised Learning Algorithms Used in Machine Learning • Data Preparation with SQL Cheatsheet. (..)

Data Science 385

Data Science Supervised Learning Data Preparation Data Scientist 385

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?

Data Scientist 172

Data Scientist Data Science Data Analyst Machine Learning 172

KDnuggets

MARCH 16, 2022

How Long Does It Take to Learn Data Science Fundamentals?; Become a Data Science Professional in Five Steps; New Ways of Sharing Code Blocks for Data Scientists; Machine Learning Algorithms for Classification; The Significance of Data Quality in Making a Successful Machine Learning Model.

Data Scientist 208

Data Scientist Data Science Machine Learning Machine Learning 208

Data Science Dojo

MARCH 7, 2023

As data science evolves and grows, the demand for skilled data scientists is also rising. A data scientist’s role is to extract insights and knowledge from data and to use this information to inform decisions and drive business growth.

Data Scientist 221

Data Scientist Exploratory Data Analysis Data Science Data Visualization 221

Dataconomy

AUGUST 16, 2023

Today’s question is, “What does a data scientist do.” ” Step into the realm of data science, where numbers dance like fireflies and patterns emerge from the chaos of information. In this blog post, we’re embarking on a thrilling expedition to demystify the enigmatic role of data scientists.

Data Scientist 172

Data Scientist Data Science Machine Learning Machine Learning 172

KDnuggets

DECEMBER 20, 2021

Also: 5 Key Skills Needed To Become a Great Data Scientist; A Full End-to-End Deployment of a Machine Learning Algorithm into a Live Production Environment; The 5 Characteristics of a Successful Data Scientist; Top Resources for Learning Statistics for Data Science.

Data Scientist 306

Data Scientist Machine Learning Machine Learning Data Science 306

Analytics Vidhya

JANUARY 29, 2024

Introduction Machine learning has revolutionized the field of data analysis and predictive modelling. With the help of machine learning libraries, developers and data scientists can easily implement complex algorithms and models without writing extensive code from scratch.

Machine Learning 353

Machine Learning Machine Learning Data Scientist Data Analysis 353

Dataconomy

MAY 16, 2023

Machine learning engineer vs data scientist: two distinct roles with overlapping expertise, each essential in unlocking the power of data-driven insights. As businesses strive to stay competitive and make data-driven decisions, the roles of machine learning engineers and data scientists have gained prominence.

Data Scientist 156

Data Scientist ML ML Machine Learning 156

Flipboard

NOVEMBER 1, 2023

This list of machine learning algorithms is a good place to start your journey as a data scientist. You should be able to identify the most common models and use them in the right applications.

Machine Learning 179

Machine Learning Machine Learning Algorithm Data Scientist 179

Analytics Vidhya

MAY 14, 2023

As data scientists and experienced technologists, professionals often seek clarification when tackling machine learning problems and striving to overcome data discrepancies. It is crucial for them to learn the correct strategy to identify or develop models for solving equations involving distinct variables.

Machine Learning 318

Machine Learning Machine Learning Data Scientist Algorithm 318

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

Analytics Vidhya

APRIL 30, 2019

Introduction Data science is an ever-evolving field. As data scientists, we need to have our finger on the pulse of the latest algorithms and. The post Don’t Miss these 5 Data Science GitHub Projects and Reddit Discussions (April Edition) appeared first on Analytics Vidhya.

Data Science 300

Data Science Data Scientist Algorithm Analytics 300

KDnuggets

OCTOBER 17, 2022

10 Cheat Sheets You Need To Ace Data Science Interview • 3 Valuable Skills That Have Doubled My Income as a Data Scientist • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • The Complete Free PyTorch Course for Deep Learning • Decision Tree Algorithm, Explained.

Data Science 298

Data Science Decision Trees Deep Learning Deep Learning 298

KDnuggets

APRIL 12, 2022

Also: Decision Tree Algorithm, Explained; 8 Free MIT Courses to Learn Data Science Online; Why Are So Many Data Scientists Quitting Their Jobs?; Top Programming Languages and Their Uses.

Decision Trees 271

Decision Trees Data Scientist Data Science Algorithm 271

Data Science Dojo

OCTOBER 4, 2024

Their work involves designing experiments to test computing theories, developing new computing languages, and creating algorithms to improve software and hardware performance. These professionals often collaborate with other scientists and engineers to solve complex computing problems and advance the boundaries of computer science.

Computer Science 418

Computer Science Computer Science Database Administration Data Scientist 418

Data Science Dojo

MAY 10, 2023

Top 10 Professions in Data Science: Below, we provide a list of the top data science careers along with their corresponding salary ranges: 1. Data Scientist Data scientists are responsible for designing and implementing data models, analyzing and interpreting data, and communicating insights to stakeholders.

Data Science 366

Data Science Data Scientist Database Administration Machine Learning 366