IBM Journey to AI blog

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

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Pickl AI

JANUARY 13, 2025

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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Pickl AI

JULY 25, 2023

With expertise in programming languages like Python , Java , SQL, and knowledge of big data technologies like Hadoop and Spark, data engineers optimize pipelines for data scientists and analysts to access valuable insights efficiently. Data Visualization: Matplotlib, Seaborn, Tableau, etc. Big Data Technologies: Hadoop, Spark, etc.

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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.

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Pickl AI

DECEMBER 2, 2024

Processing frameworks like Hadoop enable efficient data analysis across clusters. Distributed File Systems: Technologies such as Hadoop Distributed File System (HDFS) distribute data across multiple machines to ensure fault tolerance and scalability. Data lakes and cloud storage provide scalable solutions for large datasets.

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Mlearning.ai

FEBRUARY 22, 2023

This could involve using a distributed file system, such as Hadoop, or a cloud-based storage service, such as Amazon S3. This could involve using tools like Tableau or Power BI to create visualizations and dashboards. This could involve batch processing or real-time streaming, depending on your needs.

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Pickl AI

APRIL 18, 2023

Data Science encompasses several other technologies like Artificial Intelligence, Machine Learning and more. Data Science also incorporates several other principles like mathematics, statistics, computer engineering, Artificial Intelligence, and others. Hence, having these skill sets will help you excel professionally.

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Pickl AI

DECEMBER 4, 2024

The rise of advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML) , and Big Data analytics is reshaping industries and creating new opportunities for Data Scientists. Gain Experience with Big Data Technologies With the rise of Big Data, familiarity with technologies like Hadoop and Spark is essential.

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Pickl AI

MARCH 10, 2023

One way to solve Data Science’s challenges in Data Cleaning and pre-processing is to enable Artificial Intelligence technologies like Augmented Analytics and Auto-feature Engineering. Some of the tools used by Data Science in 2023 include statistical analysis system (SAS), Apache, Hadoop, and Tableau.

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ODSC - Open Data Science

APRIL 26, 2023

Because they are the most likely to communicate data insights, they’ll also need to know SQL, and visualization tools such as Power BI and Tableau as well. Some of the tools and techniques unique to business analysts are pivot tables, financial modeling in Excel, Power BI Dashboards for forecasting, and Tableau for similar purposes.

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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. Esquisse: One of the most essential tableau features that has been introduced within the R libraries is Esquisse. You can simply drag and drop to complete your visualisation in minutes.

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Pickl AI

MAY 31, 2023

Explore Machine Learning with Python: Become familiar with prominent Python artificial intelligence libraries such as sci-kit-learn and TensorFlow. Tools such as Matplotlib, Seaborn, and Tableau may help you in creating useful visualisations that make challenging data more readily available and understandable to others.

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ODSC - Open Data Science

JANUARY 7, 2025

Hadoop, though less common in new projects, is still crucial for batch processing and distributed storage in large-scale environments. Luckily, nothing too complicated is needed, as Tableau is user-friendly while matplotlib is the popular Python library for data visualization.

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Data Science Blog

MARCH 14, 2023

In der Parallelwelt der ITler wurde das Tool und Ökosystem Apache Hadoop quasi mit Big Data beinahe synonym gesetzt. Artificial Intelligence (AI) ersetzt. Big Data tauchte als Buzzword meiner Recherche nach erstmals um das Jahr 2011 relevant in den Medien auf. Big Data wurde zum Business-Sprech der darauffolgenden Jahre.

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Mlearning.ai

AUGUST 18, 2023

Utilizing Big Data, the Internet of Things, machine learning, artificial intelligence consulting , etc., As a discipline that includes various technologies and techniques, data science can contribute to the development of new medications, prevention of diseases, diagnostics, and much more.

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