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 475

Data Science Python Machine Learning Machine Learning 475

IBM Data Science in Practice

MARCH 8, 2023

Feature Platforms — A New Paradigm in Machine Learning Operations (MLOps) Operationalizing Machine Learning is Still Hard OpenAI introduced ChatGPT. The growth of the AI and Machine Learning (ML) industry has continued to grow at a rapid rate over recent years.

Machine Learning 264

Machine Learning Machine Learning ML ML 264

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

KDnuggets

JANUARY 6, 2020

In this webinar, Jan 15 @ 12PM EST, we'll offer solutions to the common challenges data scientists and data engineers face when building a machine learning pipeline. Register now to attend live or to watch a recording afterwards.

Machine Learning 180

Machine Learning Machine Learning Data Scientist Data Engineering 180

KDnuggets

NOVEMBER 15, 2021

The October blogs that won KDnuggets Rewards include: How I Tripled My Income With Data Science in 18 Months; What Google Recommends You do Before Taking Their Machine Learning or Data Science Course; How to Build Strong Data Science Portfolio as a Beginner; Data Scientist vs Data Engineer Salary.

Data Science 284

Data Science Data Scientist Machine Learning Machine Learning 284

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 114

Data Warehouse Machine Learning Machine Learning Cloud Data 114

KDnuggets

MARCH 23, 2020

Also: Time Series Classification Synthetic vs Real Financial Time Series; Nine lessons learned during my first year as a Data Scientist; What is the most effective policy response to the new coronavirus pandemic?; Nine lessons learned during my first year as a Data Scientist; Five Interesting Data Engineering Projects.

Machine Learning 221

Machine Learning Machine Learning Data Scientist Data Engineering 221

Data Science Dojo

AUGUST 15, 2023

Explore the lucrative world of data science careers. Learn about factors influencing data scientist salaries, industry demand, and how to prepare for a high-paying role. Data scientists are in high demand in today’s tech-driven world.

Data Scientist 195

Data Scientist Data Science Industrial Data Scientist Data Analyst 195

Data Science Dojo

FEBRUARY 13, 2025

With rapid advancements in machine learning, generative AI, and big data, 2025 is set to be a landmark year for AI discussions, breakthroughs, and collaborations. This conference brings together industry leaders, data scientists, AI engineers, and business professionals to discuss how AI and big data are transforming industries.

Big Data 270

Big Data AI Big Data AI 270

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

Analytics Vidhya

FEBRUARY 5, 2023

Introduction Many different datasets are available for data scientists, machine learning engineers, and data engineers. Finding the best tools to evaluate each dataset […] The post Understanding Dask in Depth appeared first on Analytics Vidhya.

Data Scientist 271

Data Scientist Machine Learning Machine Learning Data Engineering 271

Analytics Vidhya

JUNE 5, 2023

Introduction Welcome back to the success story interview series with a successful data scientist and our DataHour Speaker, Vidhya Chandrasekaran! In today’s data-driven world, data scientists play a crucial role in helping businesses make informed decisions by analyzing and interpreting data.

Data Scientist 284

Data Scientist Machine Learning Machine Learning Analytics 284

Data Science Dojo

JUNE 9, 2023

The job market for data scientists is booming. In fact, the demand for data experts is expected to grow by 36% between 2021 and 2031, significantly higher than the average for all occupations. This is great news for anyone who is interested in a career in data science. According to the U.S.

Data Science 370

Data Science Machine Learning Machine Learning Data Scientist 370

KDnuggets

NOVEMBER 15, 2021

The October blogs that won KDnuggets Rewards include: How I Tripled My Income With Data Science in 18 Months; What Google Recommends You do Before Taking Their Machine Learning or Data Science Course; How to Build Strong Data Science Portfolio as a Beginner; Data Scientist vs Data Engineer Salary.

Data Science 197

Data Science Data Scientist Machine Learning Machine Learning 197

Towards AI

FEBRUARY 10, 2024

Photo by CDC on Unsplash The Data Scientist Show, by Daliana Liu, is one of my favorite YouTube channels. Unlike many other data science programs that are very technical and require concentration to follow through, Daliana’s talk show strikes a delicate balance between profession and relaxation.

Data Scientist 116

Data Scientist Data Science Machine Learning Machine Learning 116

KDnuggets

JANUARY 13, 2020

Also: The Book to Start You on Machine Learning; An Introductory Guide to NLP for Data Scientists with 7 Common Techniques; A Comprehensive Guide to Natural Language Generation; The Book to Start You on Machine Learning; 10 Python Tips and Tricks You Should Learn Today.

Machine Learning 167

Machine Learning Machine Learning Data Scientist Data Science 167

How to Learn Machine Learning

APRIL 26, 2025

The field of data science is now one of the most preferred and lucrative career options available in the area of data because of the increasing dependence on data for decision-making in businesses, which makes the demand for data science hires peak. And Why did it happen?). or What might be the best course of action?

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

Data Science Connect

JULY 28, 2023

As the Internet of Things (IoT) continues to revolutionize industries and shape the future, data scientists play a crucial role in unlocking its full potential. A recent article on Analytics Insight explores the critical aspect of data engineering for IoT applications.

Internet of Things 130

Internet of Things Data Engineering Data Engineering Data Engineering 130

Analytics Vidhya

APRIL 13, 2023

The job opportunities for data scientists will grow by 36% between 2021 and 2031, as suggested by BLS. It has become one of the most demanding job profiles of the current era.

Data Science 336

Data Science Data Scientist Analytics Analytics 336

Data Science Dojo

JANUARY 10, 2023

All data roles are identical It’s a common data science myth that all data roles are the same. So, let’s distinguish between some common data roles – data engineer, data scientist, and data analyst. So, what makes a good data science profile?

Data Science 195

Data Science Data Scientist Data Analyst Machine Learning 195

AWS Machine Learning Blog

OCTOBER 16, 2024

Amazon SageMaker supports geospatial machine learning (ML) capabilities, allowing data scientists and ML engineers to build, train, and deploy ML models using geospatial data. Previously he was a senior scientist at Alexa AI, the head of machine learning at Scale AI and the chief scientist at Pony.ai.

ML 120

ML ML Clustering Machine Learning 120

ODSC - Open Data Science

MARCH 6, 2023

In an effort to learn more about our community, we recently shared a survey about machine learning topics, including what platforms you’re using, in what industries, and what problems you’re facing. For currently-used machine learning frameworks, some of the usual contenders were popular as expected.

Machine Learning 116

Machine Learning Machine Learning Data Science Deep Learning 116

KDnuggets

OCTOBER 30, 2019

Also: Highest paid positions in 2019 are DevOps, Data Scientist, Data Engineer (all over $100K) - Stack Overflow Salary Calculator, Updated; A neural net solves the three-body problem 100 million times faster; The Last SQL Guide for Data Analysis You’ll Ever Need; How YouTube is Recommending Your Next Video.

Machine Learning 132

Machine Learning Machine Learning Data Scientist SQL 132

Analytics Vidhya

JANUARY 13, 2023

Introduction Data science is a rapidly growing field that is changing the way organizations understand and make decisions based on their data. As a result, companies are increasingly looking to hire data scientists to help them make sense of their data and drive business outcomes.

Data Science 310

Data Science Data Scientist Analytics Analytics 310

Analytics Vidhya

MAY 22, 2023

Introduction Join us in this interview as Sumeet shares his background, journey as a former Data Scientist to a software engineer, and learn the captivating aspects of his current job. He provides insights into the future of data science and software engineering and offers valuable advice for career transitioners.

Data Scientist 65

Data Scientist Data Science Analytics Analytics 65

Data Science Blog

JUNE 30, 2023

The data is obtained from the Internet via APIs and web scraping, and the job titles and the skills listed in them are identified and extracted from them using Natural Language Processing (NLP) or more specific from Named-Entity Recognition (NER). Over the time, it will provides you the answer on your questions related to which tool to learn!

Data Engineering 130

Data Engineering Data Engineering Data Engineering Data Engineer 130

Data Science Dojo

FEBRUARY 20, 2023

These tools will help you streamline your machine learning workflow, reduce operational overheads, and improve team collaboration and communication. Machine learning (ML) is the technology that automates tasks and provides insights. It allows data scientists to build models that can automate specific tasks.

Machine Learning 195

Machine Learning Machine Learning AWS Azure 195

Analytics Vidhya

JANUARY 21, 2023

Introduction Data science is a rapidly growing field with many career opportunities. Data scientists are at the forefront of solving complex problems using data-driven approaches, from predicting market trends to developing personalized recommendations.

Data Science 341

Data Science Computer Science Computer Science Data Scientist 341

Towards AI

JULY 1, 2024

Learn the basics of data engineering to improve your ML modelsPhoto by Mike Benna on Unsplash It is not news that developing Machine Learning algorithms requires data, often a lot of data. The whole thing is very exciting, but where do I get the data from?

ETL 99

ETL Data Scientist Data Engineering Data Engineering 99

Smart Data Collective

JUNE 10, 2022

Are you interested in a career in data science? The Bureau of Labor Statistics reports that there are over 105,000 data scientists in the United States. The average data scientist earns over $108,000 a year. Data Scientist. Data Engineer. Machine Learning Engineer.

Data Science 144

Data Science Data Scientist Machine Learning Machine Learning 144

Towards AI

MAY 8, 2024

Created by the author with DALL E-3 Google Earth Engine for machine learning has just gotten a new face lift, with all the advancement that has been going on in the world of Artificial intelligence, Google Earth Engine was not going to be left behind as it is an important tool for spatial analysis.

Machine Learning 104

Machine Learning Machine Learning ML ML 104

ODSC - Open Data Science

NOVEMBER 28, 2024

A 2-for-1 ODSC East Black Friday Deal, Multi-Agent Systems, Financial Data Engineering, and LLM Evaluation ODSC East 2025 Black Friday Deal Take advantage of our 2-for-1 Black Friday sale and join the leading conference for data scientists and AI builders.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Data Science Dojo

APRIL 27, 2023

This blog lists down-trending data science, analytics, and engineering GitHub repositories that can help you with learning data science to build your own portfolio.  What is GitHub? GitHub is a powerful platform for data scientists, data analysts, data engineers, Python and R developers, and more.

Data Science 195

Data Science Analytics Analytics Power BI 195

Flipboard

JULY 13, 2023

Image Source: Author Introduction Data Engineers and Data Scientists need data for their Day-to-Day job. Of course, It could be for Data Analytics, Data Prediction, Data Mining, Building Machine Learning Models Etc.,

Data Science 123

Data Science Data Mining Data Mining Data Mining 123

Dataconomy

FEBRUARY 23, 2023

Data engineers play a crucial role in managing and processing big data. They are responsible for designing, building, and maintaining the infrastructure and tools needed to manage and process large volumes of data effectively. What is data engineering?

Big Data 91

Big Data Big Data Data Engineering Data Engineering 91

ODSC - Open Data Science

SEPTEMBER 21, 2023

The majority of us who work in machine learning, analytics, and related disciplines do so for organizations with a variety of different structures and motives. The following is an extract from Andrew McMahon’s book , Machine Learning Engineering with Python, Second Edition. What does an ML solution look like?

Machine Learning 98

Machine Learning Machine Learning ML ML 98

Analytics Vidhya

JANUARY 5, 2022

This article was published as a part of the Data Science Blogathon. Introduction Are you a Data Science enthusiast or already a Data Scientist who is trying to make his or her portfolio strong by adding a good amount of hands-on projects to your resume? But have no clue where to get the datasets from so […].

Data Science 289

Data Science Data Scientist Analytics Analytics 289