AI, Decision Trees and Hadoop - Data Science Current

How to become a data scientist – Key concepts to master data science

Data Science Dojo

AUGUST 27, 2024

Algorithms: Decision trees, random forests, logistic regression, and more are like different techniques a detective might use to solve a case. Hadoop and Spark: These are like powerful computers that can process huge amounts of data quickly. Ethical Frameworks: Establishing ethical guidelines for AI development and deployment.

Data Scientist

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How to become a data scientist – Key concepts to master data science

Data Science Dojo

AUGUST 27, 2024

Algorithms: Decision trees, random forests, logistic regression, and more are like different techniques a detective might use to solve a case. Hadoop and Spark: These are like powerful computers that can process huge amounts of data quickly. Ethical Frameworks: Establishing ethical guidelines for AI development and deployment.

Data Scientist

Data Scientist Data Science Machine Learning Machine Learning

What is Data-driven vs AI-driven Practices?

Pickl AI

JANUARY 12, 2025

Summary: The article explores the differences between data driven and AI driven practices. The right approach is necessary to improve decisions and ensure your business remains competitive. Introduction Are you struggling to decide between data-driven practices and AI-driven strategies for your business?

Artificial Intelligence

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Coding vs Data Science: A comprehensive guide to unraveling the differences

Data Science Dojo

JULY 7, 2023

Data scientists need a strong foundation in statistics and mathematics to understand the patterns in data. Proficiency in tools like Python, R, SQL, and platforms like Hadoop or Spark is essential for data manipulation and analysis. If you’re intrigued by data and driving strategic decisions, data science could be the way to go.

Data Science

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Streaming Machine Learning Without a Data Lake

ODSC - Open Data Science

MAY 31, 2023

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. Subscribe to our weekly newsletter here and receive the latest news every Thursday.

Data Lakes

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Building Scalable AI Pipelines with MLOps: A Guide for Software Engineers

ODSC - Open Data Science

OCTOBER 7, 2024

In today’s landscape, AI is becoming a major focus in developing and deploying machine learning models. MLOps is the discipline that unites machine learning development with operational processes, ensuring that AI models are not only built effectively but also deployed and maintained in production environments with scalability in mind.

Machine Learning

Machine Learning Machine Learning AI AI

Big Data Syllabus: A Comprehensive Overview

Pickl AI

AUGUST 9, 2024

Some of the most notable technologies include: Hadoop An open-source framework that allows for distributed storage and processing of large datasets across clusters of computers. It is built on the Hadoop Distributed File System (HDFS) and utilises MapReduce for data processing. Once data is collected, it needs to be stored efficiently.

Big Data

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Data science vs. machine learning: What’s the difference?

IBM Journey to AI blog

JULY 6, 2023

Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on learning from what the data science comes up with. Because data analysts often build machine learning models, programming and AI knowledge are also valuable. This led to the theory and development of AI. What is machine learning?

Machine Learning

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Predicting the Future of Data Science

Pickl AI

DECEMBER 4, 2024

Summary: The future of Data Science is shaped by emerging trends such as advanced AI and Machine Learning, augmented analytics, and automated processes. Key Takeaways AI and Machine Learning will advance significantly, enhancing predictive capabilities across industries. Here are five key trends to watch.

Data Science

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Data Scientist Salary in India’s Top Tech Cities

Pickl AI

APRIL 28, 2023

The post Data Scientist Salary in India’s Top Tech Cities appeared first on Pickl AI.

Data Scientist

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Best Resources for Kids to learn Data Science with Python

Pickl AI

MAY 31, 2023

Begin by employing algorithms for supervised learning such as linear regression , logistic regression, decision trees, and support vector machines. It includes regression, classification, clustering, decision trees, and more. The post Best Resources for Kids to learn Data Science with Python appeared first on Pickl AI.

Data Science

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8 Best Programming Language for Data Science

Pickl AI

JULY 18, 2023

With its powerful ecosystem and libraries like Apache Hadoop and Apache Spark, Java provides the tools necessary for distributed computing and parallel processing. It is helpful in descriptive and inferential statistics, regression analysis, clustering, decision trees, neural networks, and more.

Data Science

Data Science SQL Data Scientist Python

What Does the Modern Data Scientist Look Like? Insights from 30,000 Job Descriptions

ODSC - Open Data Science

JANUARY 7, 2025

Deep Learning Deep learning is a cornerstone of modern AI, and its applications are expanding rapidly. Hadoop, though less common in new projects, is still crucial for batch processing and distributed storage in large-scale environments. Kafka remains the go-to for real-time analytics and streaming.

Data Scientist

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Must-Have Skills for a Machine Learning Engineer

Pickl AI

NOVEMBER 28, 2024

Decision Trees These trees split data into branches based on feature values, providing clear decision rules. These platforms provide Machine Learning-specific tools such as Amazon SageMaker, Google AI Platform, and Azure Machine Learning that simplify model development, training, and deployment.

Machine Learning

Machine Learning Machine Learning ML ML

Introduction to R Programming For Data Science

Pickl AI

JULY 10, 2023

Packages like dplyr, data.table, and sparklyr enable efficient data processing on big data platforms such as Apache Hadoop and Apache Spark. The post Introduction to R Programming For Data Science appeared first on Pickl AI. The caret package, for example, offers a unified interface for building and evaluating predictive models.

Data Science

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Data Science Current

How to become a data scientist – Key concepts to master data science

How to become a data scientist – Key concepts to master data science

Trending Sources

What is Data-driven vs AI-driven Practices?

Coding vs Data Science: A comprehensive guide to unraveling the differences

Streaming Machine Learning Without a Data Lake

Building Scalable AI Pipelines with MLOps: A Guide for Software Engineers

Big Data Syllabus: A Comprehensive Overview

Data science vs. machine learning: What’s the difference?

Predicting the Future of Data Science

Data Scientist Salary in India’s Top Tech Cities

Best Resources for Kids to learn Data Science with Python

8 Best Programming Language for Data Science

What Does the Modern Data Scientist Look Like? Insights from 30,000 Job Descriptions

Must-Have Skills for a Machine Learning Engineer

Introduction to R Programming For Data Science

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