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

Analytics Vidhya

DECEMBER 11, 2022

This article was published as a part of the Data Science Blogathon. Introduction Machine learning (ML) has become an increasingly important tool for organizations of all sizes, providing the ability to learn and improve from data automatically.

Machine Learning 360

Machine Learning Machine Learning Data Scientist Data Science 360

Analytics Vidhya

NOVEMBER 1, 2022

Source – Unsplash Introduction An interview process for roles like machine learning engineer and/or data scientist positions often includes multiple rounds. The post Top 15 Important Machine Learning Interview Questions appeared first on Analytics Vidhya.

Machine Learning 364

Machine Learning Machine Learning Data Scientist Data Science 364

Machine Learning Mastery

OCTOBER 18, 2024

As a data scientist, you probably know how to build machine learning models. But it’s only when you deploy the model that you get a useful machine learning solution. And if you’re looking to learn more about deploying machine learning models, this guide is for you.

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Machine Learning Machine Learning Data Scientist ML 314

Analytics Vidhya

OCTOBER 26, 2023

Introduction Python is a versatile and powerful programming language that plays a central role in the toolkit of data scientists and analysts. Its simplicity and readability make it a preferred choice for working with data, from the most fundamental tasks to cutting-edge artificial intelligence and machine learning.

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Data Scientist Python Artificial Intelligence Artificial Intelligence 319

Data Science Dojo

APRIL 25, 2023

SQL (Structured Query Language) is an important tool for data scientists. It is a programming language used to manipulate data stored in relational databases. Mastering SQL concepts allows a data scientist to quickly analyze large amounts of data and make decisions based on their findings.

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Data Scientist SQL Machine Learning Machine Learning 370

Analytics Vidhya

JUNE 29, 2023

Yet, most of them lack the knowledge to fully utilize every bit of the data they have collected. Data scientists come into play in this scenario. Data scientists, an emerging class of analytical data specialists, are an increasingly important player in businesses. appeared first on Analytics Vidhya.

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Data Scientist Analytics Analytics Data Science 328

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

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.

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Data Scientist Data Science Machine Learning Machine Learning 273

Dataconomy

FEBRUARY 27, 2025

Online machine learning is revolutionizing the way we harness data, bringing immediate responsiveness to various sectors like finance, healthcare, and e-commerce. This powerful approach allows algorithms to adapt in real time, making data-driven decisions without the lag associated with traditional batch learning.

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Machine Learning Machine Learning Algorithm Data Scientist 91

Flipboard

MAY 26, 2025

Want to be a data scientist in 2025? These 10 YouTube channels teach important skills, from Python basics to advanced machine learning.

Data Scientist 156

Data Scientist Machine Learning Machine Learning Python 156

KDnuggets

SEPTEMBER 26, 2024

Are you an aspiring data scientist or early in your data science career? If so, you know that you should use your programming, statistics, and machine learning skills—coupled with domain expertise—to use data to answer business questions. Especially for handling and analyzing.

Data Science 383

Data Science Data Scientist Machine Learning Machine Learning 383

Machine Learning Mastery

MARCH 6, 2024

Data transformations enable data scientists to refine, normalize, and standardize raw data into a format ripe for analysis. This post will primarily focus on how to address skewed data. This post will primarily focus on how to address skewed data.

Data Scientist 286

Data Scientist Data Science 286

Dataconomy

APRIL 13, 2025

The machine learning lifecycle is an intricate series of stages that guides the development and deployment of machine learning models. Through understanding each phase, teams can effectively harness data to create solutions that address specific problems. What is the machine learning lifecycle?

Machine Learning 91

Machine Learning Machine Learning Data Wrangling Data Classification 91

KDnuggets

OCTOBER 24, 2022

Preprocessing data for machine learning models is a core general skill for any Data Scientist or Machine Learning Engineer. Follow this guide using Pandas and Scikit-learn to improve your techniques and make sure your data leads to the best possible outcome.

Machine Learning 400

Machine Learning Machine Learning Python Data Scientist 400

Data Science Dojo

JULY 5, 2024

Machine learning models are algorithms designed to identify patterns and make predictions or decisions based on data. These models are trained using historical data to recognize underlying patterns and relationships. Once trained, they can be used to make predictions on new, unseen data.

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Machine Learning Machine Learning ML ML 322

KDnuggets

FEBRUARY 7, 2025

Tools I use for coding, writing, grammar improvement, research, machine learning experiments, and organizing projects.

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Data Scientist Machine Learning Machine Learning 296

Dataconomy

APRIL 25, 2025

The prototype model in machine learning is an essential approach that empowers data scientists to develop and refine machine learning models efficiently. What is the prototype model in machine learning? What is model prototyping? Emphasizing continuous improvement is vital.

Machine Learning 116

Machine Learning Machine Learning Cross Validation Data Scientist 116

insideBIGDATA

MARCH 23, 2024

In this video presentation, our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, sits down with industry luminary Sebastian Raschka to discuss his latest book, Machine Learning Q and AI, the open-source libraries developed by Lightning AI, how to exploit the greatest opportunities for LLM development, (..)

Machine Learning 397

Machine Learning Machine Learning Data Scientist AI 397

Analytics Vidhya

NOVEMBER 30, 2023

This feature […] The post ChatGPT’s Code Interpreter: GPT-4 Advanced Data Analysis for Data Scientists appeared first on Analytics Vidhya. One of the most exciting features of ChatGPT is its ability to generate code snippets in various programming languages, including Python, Java, JavaScript, and C++.

Data Analysis 328

Data Analysis Data Analysis Data Scientist Python 328

insideBIGDATA

JUNE 23, 2023

Kaggle is an incredible resource for all data scientists. I advise my Intro to Data Science students at UCLA to take advantage of Kaggle by first completing the venerable Titanic Getting Started Prediction Challenge, and then moving on to active challenges.

Data Science 468

Data Science Data Scientist Machine Learning Machine Learning 468

Dataconomy

APRIL 29, 2025

Model fairness in AI and machine learning is a critical consideration in todays data-driven world. What is model fairness in AI and machine learning? Understanding bias in machine learning Bias in machine learning emerges when models produce unequal outcomes for various demographic groups.

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Machine Learning Machine Learning AI AI 103

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 Data Science Machine Learning Machine Learning 119

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

KDnuggets

MARCH 27, 2024

Learn everything about data science by exploring our curated collection of free courses from top universities, covering essential topics from math and programming to machine learning, and mastering the nine steps to become a job-ready data scientist.

Data Science 396

Data Science Data Scientist Machine Learning Machine Learning 396

Dataconomy

MAY 9, 2025

Machine learning checkpointing plays a crucial role in optimizing the training process of machine learning models. Checkpointing allows data scientists and machine learning engineers to save snapshots of their models at various stages, facilitating easier recovery from interruptions and efficient training practices.

Machine Learning 91

Machine Learning Machine Learning Data Scientist 91

insideBIGDATA

MARCH 2, 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 poolside co-founder and CEO Jason Warner who sheds light on how code-specialized LLMs could vastly outperform generalized counterparts like GPT-4.

Data Scientist 397

Data Scientist Machine Learning Machine Learning Deep Learning 397

Towards AI

NOVEMBER 4, 2024

While traditional opinion polls provide a pretty good snapshot, machine learning certainly goes deeper with its data-driven perspective on things. One fact is that machine learning has begun changing data-driven political analysis. With the end goal of predicting the U.S.

Machine Learning 118

Machine Learning Machine Learning Exploratory Data Analysis EDA 118

AWS Machine Learning Blog

OCTOBER 24, 2024

Machine learning (ML) helps organizations to increase revenue, drive business growth, and reduce costs by optimizing core business functions such as supply and demand forecasting, customer churn prediction, credit risk scoring, pricing, predicting late shipments, and many others.

Data Warehouse 117

Data Warehouse Machine Learning Machine Learning Cloud Data 117

KDnuggets

NOVEMBER 23, 2022

There exist so many great computational tools available for Data Scientists to perform their work. However, mathematical skills are still essential in data science and machine learning because these tools will only be black-boxes for which you will not be able to ask core analytical questions without a theoretical foundation.

Data Science 400

Data Science Data Scientist Machine Learning Machine Learning 400

Data Science Dojo

MARCH 8, 2023

With its powerful data manipulation and analysis capabilities, Python has emerged as the language of choice for data scientists, machine learning engineers, and analysts.     By learning Python, you can effectively clean and manipulate data, create visualizations, and build machine-learning models.

Data Science 494

Data Science Python Machine Learning Machine Learning 494

Flipboard

MAY 28, 2025

Machine learning (ML) has emerged as a powerful tool to help nonprofits expedite manual processes, quickly unlock insights from data, and accelerate mission outcomesfrom personalizing marketing materials for donors to predicting member churn and donation patterns. For more details on pricing, see Amazon SageMaker Canvas pricing.

Machine Learning 104

Machine Learning Machine Learning ML ML 104

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 383

Data Science Supervised Learning Data Preparation Data Scientist 383

insideBIGDATA

MARCH 30, 2024

In this video presentation, our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, sits down with Rudina Seseri from Glasswing Ventures to answer the question: "What has Glasswing Ventures done for the company beyond capital investment?"

Data Scientist 418

Data Scientist Machine Learning Machine Learning AI 418

insideBIGDATA

JULY 25, 2023

At an unprecedented pace, Large Language Models like GPT-4 are transforming the world in general and the field of data science in particular. This two-hour training video presentation by Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, introduces deep learning transformer architectures including LLMs.

Deep Learning 368

Deep Learning Deep Learning Data Scientist Machine Learning 368

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 368

Data Science Data Scientist Database Administration Machine Learning 368

Towards AI

JANUARY 29, 2025

We have seen how Machine learning has revolutionized industries across the globe during the past decade, and Python has emerged as the language of choice for aspiring data scientists and seasoned professionals alike. Scikit-learn is an open-source machine learning library built on Python.

Machine Learning 95

Machine Learning Machine Learning Python Supervised Learning 95