Analytics Vidhya

FEBRUARY 2, 2022

Table of contents Overview Traditional Software development Life Cycle Waterfall Model Agile Model DevOps Challenges in ML models Understanding MLOps Data Engineering Machine Learning DevOps Endnotes Overview: MLOps According to research by deeplearning.ai, only 2% of the companies using Machine Learning, Deep learning have […].

Machine Learning 271

Machine Learning Machine Learning Deep Learning Deep Learning 271

KDnuggets

NOVEMBER 16, 2022

10 Cheat Sheets You Need To Ace Data Science Interview • 7 Free Platforms for Building a Strong Data Science Portfolio • The Complete Free PyTorch Course for Deep Learning • 3 Valuable Skills That Have Doubled My Income as a Data Scientist • 25 Advanced SQL Interview Questions for Data Scientists • A Data Science Portfolio That Will Land You The Job (..)

Data Science 267

Data Science Data Scientist Deep Learning Deep Learning 267

Data Science Dojo

FEBRUARY 13, 2025

The notable features of the IEEE conference are: Cutting-Edge AI Research & Innovations Gain exclusive insights into the latest breakthroughs in artificial intelligence, including advancements in deep learning, NLP, and AI-driven automation. Thats where Data + AI Summit 2025 comes in!

AI 294

AI AI Big Data Big Data 294

KDnuggets

JUNE 27, 2022

The second part covers the list of Data Management, Data Engineering, Machine Learning, Deep Learning, Natural Language Processing, MLOps, Cloud Computing, and AI Manager interview questions.

Natural Language Processing 209

Natural Language Processing Data Science Cloud Computing Deep Learning 209

KDnuggets

NOVEMBER 15, 2021

NVIDIA, the pioneer in the GPU technologies and deep learning revolution, has come up with an excellent catalog of specialized containers that they call NGC Collections. In this article, we explore their basic usage and some variations.

Deep Learning 306

Deep Learning Deep Learning Data Engineer Data Engineering 306

Analytics Vidhya

FEBRUARY 3, 2022

In this article, we shall discuss the upcoming innovations in the field of artificial intelligence, big data, machine learning and overall, Data Science Trends in 2022. Deep learning, natural language processing, and computer vision are examples […]. Times change, technology improves and our lives get better.

Data Science 319

Data Science Natural Language Processing Deep Learning Deep Learning 319

insideBIGDATA

DECEMBER 29, 2023

Straight from the executive suite, you'll learn about what's predicted to happen with AI, GenAI, LLMs, BI, data science, data engineering, and much more. From the company's point of view 2024 should be quite a year! Enjoy these special perspectives from one of our industry's best known movers and shakers.

Big Data 390

Big Data Big Data Data Science Data Engineering 390

Data Science Blog

JUNE 30, 2023

Over the time, it will provides you the answer on your questions related to which tool to learn! For DATANOMIQ this is a show-case of the coming Data as a Service ( DaaS ) Business. The post Monitoring of Jobskills with Data Engineering & AI appeared first on Data Science Blog.

Data Engineering 130

Data Engineering Data Engineer Data Engineering Data Engineering 130

insideBIGDATA

JANUARY 2, 2024

Straight from the executive suite, you’ll learn about what’s predicted to happen with AI, GenAI, LLMs, BI, data science, data engineering, and much more. From the company’s point of view 2024 should be quite a year! Enjoy these special perspectives from one of our industry’s best known movers and shakers.

Big Data 299

Big Data Big Data Data Science Data Engineering 299

Analytics Vidhya

JUNE 29, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Did you developed a Machine Learning or Deep Learning application. The post Deploy Your ML/DL Streamlit Application on Heroku appeared first on Analytics Vidhya.

ML 208

ML ML Deep Learning Deep Learning 208

Data Science Dojo

OCTOBER 31, 2024

Key Skills: Mastery in machine learning frameworks like PyTorch or TensorFlow is essential, along with a solid foundation in unsupervised learning methods. Stanford AI Lab recommends proficiency in deep learning, especially if working in experimental or cutting-edge areas. This role builds a foundation for specialization.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

Pickl AI

AUGUST 1, 2024

Summary : Deep Learning engineers specialise in designing, developing, and implementing neural networks to solve complex problems. Introduction Deep Learning engineers are specialised professionals who design, develop, and implement Deep Learning models and algorithms.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

KDnuggets

NOVEMBER 15, 2021

NVIDIA, the pioneer in the GPU technologies and deep learning revolution, has come up with an excellent catalog of specialized containers that they call NGC Collections. In this article, we explore their basic usage and some variations.

Deep Learning 153

Deep Learning Deep Learning Data Engineer Data Engineering 153

Data Science Dojo

MAY 18, 2023

Check out our award-winning Data Science Bootcamp that can navigate your way. Vector Similarity Search: With this panel discussion learn how you can incorporate vector search into your own applications to harness deep learning insights at scale. 6.

Data Science 195

Data Science AI AI Deep Learning 195

KDnuggets

JUNE 17, 2025

Abid holds a Masters degree in technology management and a bachelors degree in telecommunication engineering. His vision is to build an AI product using a graph neural network for students struggling with mental illness.

Natural Language Processing 180

Natural Language Processing Machine Learning Machine Learning Data Science 180

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

JUNE 16, 2025

The world’s leading publication for data science, data analytics, data engineering, machine learning, and artificial intelligence professionals. 👉🏻 I run the AI Weekender , which features fun weekend AI projects and quick, practical tips to help you build with AI.

Machine Learning 124

Machine Learning Machine Learning Data Science Artificial Intelligence 124

Data Science 101

FEBRUARY 15, 2020

Welcome to Cloud Data Science 7. Announcements around an exciting new open-source deep learning library, a new data challenge and more. Microsoft Releases DeepSpeed for Training very large Models DeepSpeed is a new open-source library for deep learning optimization. Google Announces BigQuery Data Challenge.

Cloud Data 112

Cloud Data Data Science Deep Learning Deep Learning 112

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. And so, rather than a master’s or Ph.D.

Data Science 195

Data Science Data Scientist Data Analyst Machine Learning 195

ODSC - Open Data Science

FEBRUARY 17, 2023

Developing NLP tools isn’t so straightforward, and requires a lot of background knowledge in machine & deep learning, among others. In a change from last year, there’s also a higher demand for those with data analysis skills as well. Having mastery of these two will prove that you know data science and in turn, NLP.

Data Science 111

Data Science Deep Learning Deep Learning Natural Language Processing 111

Data Science Dojo

JUNE 9, 2023

The program’s curriculum includes modules in machine learning and deep learning and artificial intelligence. Thinkful Data Science Bootcamp Delivery Format : Online Tuition : $16,950 Duration : 6 months Thinkful Data Science Bootcamp Thinkful offers a data science boot camp that is both affordable and comprehensive.

Data Science 370

Data Science Machine Learning Machine Learning Data Scientist 370

Flipboard

JUNE 16, 2025

Iván Palomares Carrascosa is a leader, writer, speaker, and adviser in AI, machine learning, deep learning & LLMs. Being familiar with these concepts places you in an advantageous position to stay abreast of new trends and developments in the rapidly evolving LLM landscape.

Natural Language Processing 139

Natural Language Processing Data Science Machine Learning Machine Learning 139

phData

AUGUST 11, 2023

Data engineering in healthcare is taking a giant leap forward with rapid industrial development. Artificial Intelligence (AI) and Machine Learning (ML) are buzzwords these days with developments of Chat-GPT, Bard, and Bing AI, among others. Data engineering can serve as the foundation for every data need within an organization.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Pickl AI

JULY 25, 2023

Unfolding the difference between data engineer, data scientist, and data analyst. Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. Data Visualization: Matplotlib, Seaborn, Tableau, etc.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

ODSC - Open Data Science

MARCH 6, 2023

Big data analytics is evergreen, and as more companies use big data it only makes sense that practitioners are interested in analyzing data in-house. Deep learning is a fairly common sibling of machine learning, just going a bit more in-depth, so ML practitioners most often still work with deep learning.

Machine Learning 116

Machine Learning Machine Learning Data Science Deep Learning 116

Smart Data Collective

JUNE 10, 2022

You would need to have the skills to analyze large amounts of complex data and find patterns that would benefit the business or organization you work for. Data Engineer. In this role, you would perform batch processing or real-time processing on data that has been collected and stored. Business Intelligence Developer.

Data Science 144

Data Science Data Scientist Machine Learning Machine Learning 144

ODSC - Open Data Science

MARCH 12, 2025

20212024: Interest declined as deep learning and pre-trained models took over, automating many tasks previously handled by classical ML techniques. While traditional machine learning remains fundamental, its dominance has waned in the face of deep learning and automated machine learning (AutoML).

Data Science 52

Data Science Machine Learning Machine Learning Data Engineering 52

Pickl AI

JUNE 8, 2025

This surge in connected devices is creating vast opportunities for data scientists to develop scalable models that process unstructured and streaming data efficiently. Advanced Machine Learning and AI Integration Machine learning remains the backbone of data science, but in 2025, its complexity and specialization are increasing.

Data Science 52

Data Science Augmented Analytics Machine Learning Machine Learning 52

Data Science Dojo

NOVEMBER 15, 2023

It’s one of the most prestigious and influential machine learning conferences in the world, and it’s a must-attend for anyone who wants to stay up-to-date on the latest advances in the field. There will also be a number of workshops and tutorials on emerging topics in machine learning.

Machine Learning 195

Machine Learning Machine Learning AI AI 195

ODSC - Open Data Science

JUNE 16, 2025

We’re also excited to announce all new tracks devoted to Evaluations, Reasoning, and Keynotes! Additionally, you’ll have the chance to hear from experts and practitioners about the tools and techniques defining the future of the industry.

Data Science 52

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 52

Data Science Dojo

MARCH 28, 2024

LLMs are a powerful tool within the world of AI using deep learning techniques for general-purpose language generation and other natural language processing (NLP) tasks. They train on massive amounts of textual data to produce human-quality texts. What are large language models (LLMs)?

Natural Language Processing 195

Natural Language Processing Deep Learning Deep Learning Data Visualization 195

ODSC - Open Data Science

MARCH 28, 2023

Learn more about this brand new track here ! Machine Learning and Deep Learning This track gathers together the creators and top practitioners in the rapidly expanding fields of deep learning and machine learning to discuss the latest advances, trends, and models in these fields.

Data Science 92

Data Science Deep Learning Deep Learning Machine Learning 92

AWS Machine Learning Blog

APRIL 19, 2023

The DJL is a deep learning framework built from the ground up to support users of Java and JVM languages like Scala, Kotlin, and Clojure. With the DJL, integrating this deep learning is simple. The architecture of DJL is engine agnostic. Business requirements We are the US squad of the Sportradar AI department.

ML 96

ML ML Deep Learning Deep Learning 96

Applied Data Science

AUGUST 2, 2021

Team Building the right data science team is complex. With a range of role types available, how do you find the perfect balance of Data Scientists , Data Engineers and Data Analysts to include in your team? The Data Engineer Not everyone working on a data science project is a data scientist.

Data Science 130

Data Science Data Scientist ML ML 130

ODSC - Open Data Science

FEBRUARY 2, 2023

As you’ll see in the next section, data scientists will be expected to know at least one programming language, with Python, R, and SQL being the leaders. This will lead to algorithm development for any machine or deep learning processes. Java’s still being used frequently as many frameworks run on JVM (Java Virtual Machine).

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

Pickl AI

JUNE 5, 2025

In the Indian context, data scientists often work in dynamic environments such as IT services, fintech, e-commerce, healthcare, and telecom sectors. They are expected to be versatile, handling everything from data engineering and exploratory analysis to deploying machine learning models and communicating insights to business stakeholders.

Data Scientist 52

Data Scientist Data Science Power BI Machine Learning 52

AWS Machine Learning Blog

OCTOBER 16, 2024

His expertise spans machine learning, data engineering, and scalable distributed systems, augmented by a strong background in software engineering and industry expertise in domains such as autonomous driving. His research interests are 3D deep learning, and vision and language representation learning.

ML 116

ML ML Clustering Machine Learning 116