IBM Journey to AI blog

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI.

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ODSC - Open Data Science

MAY 1, 2023

Pedro Domingos, PhD Professor Emeritus, University Of Washington | Co-founder of the International Machine Learning Society Pedro Domingos is a winner of the SIGKDD Innovation Award and the IJCAI John McCarthy Award, two of the highest honors in data science and AI.

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Pickl AI

JUNE 19, 2023

This course has been specifically created to include computer science and engineering disciplines, supplying a thorough education in the field. It also teaches students how to use data to predict customer behaviour, automate procedures, and gain useful knowledge. Students with a B.Sc

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Pickl AI

OCTOBER 14, 2024

This setting often fosters collaboration and networking opportunities that are invaluable in the Data Science field. Specialised Master’s Programs Specialised Master’s programs focus on niche areas within Data Science, such as Artificial Intelligence , Big Data , or Machine Learning.

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Pickl AI

MAY 16, 2023

Expansive Hiring The IT and service sector is actively hiring Data Scientists. In fact, these industries majorly employ Data Scientists. Python, Data Mining, Analytics and ML are one of the most preferred skills for a Data Scientist. Highlight Your Experience Don’t miss this part.

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Pickl AI

AUGUST 22, 2024

Introduction Linear data structures, such as arrays, linked lists, stacks, and queues, form the foundation of many algorithms and systems in computer science. They are crucial for organising data efficiently, and supporting operations like linear search in data structure.

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Pickl AI

SEPTEMBER 12, 2024

Summary : This article equips Data Analysts with a solid foundation of key Data Science terms, from A to Z. Introduction In the rapidly evolving field of Data Science, understanding key terminology is crucial for Data Analysts to communicate effectively, collaborate effectively, and drive data-driven projects.

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Pickl AI

SEPTEMBER 23, 2024

Understanding Data Science Data Science is a multidisciplinary field that uses scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Data Science helps organisations make informed decisions by transforming raw data into valuable information.

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DrivenData Labs

DECEMBER 11, 2024

The goal, as we wrote at the time , was to bring cutting-edge practices in data science and crowdsourcing to some of the world's biggest social challenges and the organizations taking them on. Data science processes are canonically illustrated as iterative processes. It wasn't just us thinking about this.

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