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10 Must-Have AI Engineering Skills in 2024

Data Science Dojo

Artificial Intelligence is reshaping industries around the world, revolutionizing how businesses operate and deliver services. Latest Advancements in AI Affecting Engineering Artificial Intelligence continues to advance at a rapid pace, bringing transformative changes to the field of engineering.

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Data Scientist Job Description – What Companies Look For in 2025

Pickl AI

As Indian companies across industries increasingly embrace data-driven decision-making, artificial intelligence (AI), and automation, the demand for skilled data scientists continues to surge. Big Data: Apache Hadoop, Apache Spark. Cloud Platforms: AWS, Microsoft Azure, Google Cloud Platform.

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Business Analytics vs Data Science: Which One Is Right for You?

Pickl AI

Big data platforms such as Apache Hadoop and Spark help handle massive datasets efficiently. Common Job Titles in Data Science Data Science delves into predictive modeling, artificial intelligence, and machine learning. They must also stay updated on tools such as TensorFlow, Hadoop, and cloud-based platforms like AWS or Azure.

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A Guide to Choose the Best Data Science Bootcamp

Data Science Dojo

Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud. Artificial Intelligence : Concepts of AI include neural networks, natural language processing (NLP), and reinforcement learning.

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Top 10 Jobs in AI and the Right AI Skills

Pickl AI

Introduction The field of Artificial Intelligence (AI) is rapidly evolving, and with it, the job market in India is witnessing a seismic shift. Top 10 AI Jobs in India The field of Artificial Intelligence (AI) continues to expand, creating a variety of job opportunities. million by 2027.

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Streaming Machine Learning Without a Data Lake

ODSC - Open Data Science

Commonly used technologies for data storage are the Hadoop Distributed File System (HDFS), Amazon S3, Google Cloud Storage (GCS), or Azure Blob Storage, as well as tools like Apache Hive, Apache Spark, and TensorFlow for data processing and analytics.

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Generative AI in the Real World: The Startup Opportunity with Gabriela de Queiroz

O'Reilly Media

5:34 : You work with the folks at Azure, so presumably you know what actual enterprises are doing with generative AI. We have DeepSeek R1 available on Azure. 29:29 : Back then, we only had a few options: Hadoop, Spark. 30:03 : Back then people didnt need Hadoop or MapReduce or Spark if they didnt have lots of data.

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