ODSC - Open Data Science

MARCH 13, 2023

Machine learning practitioners tend to do more than just create algorithms all day. First, there’s a need for preparing the data, aka data engineering basics. You can also get data science training on-demand wherever you are with our Ai+ Training platform. As the chart shows, two major themes emerged.

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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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ODSC - Open Data Science

MARCH 2, 2023

Without basic foundational skills, your data science journey will end as quickly as it begins. Between foundational mathematics and AI literacy and more, these are the five pillars and skills that you should know if you want to make the most of your data science journey. But what makes AI so important?

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ODSC - Open Data Science

OCTOBER 26, 2023

ODSC West is less than a week away and we can’t wait to bring together some of the best and brightest minds in data science and AI to discuss generative AI, NLP, LLMs, machine learning, deep learning, responsible AI, and more. With a Virtual Open Pass , you can be part of where the future of AI gathers for free.

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ODSC - Open Data Science

AUGUST 15, 2023

Advancements in data science and AI are coming at a lightning-fast pace. To help you stay ahead of the curve, ODSC APAC this August 22nd-23rd will feature expert-led training sessions in both data science fundamentals and cutting-edge tools and frameworks. Check out a few of them below.

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ODSC - Open Data Science

FEBRUARY 2, 2023

Just as a writer needs to know core skills like sentence structure, grammar, and so on, data scientists at all levels should know core data science skills like programming, computer science, algorithms, and so on. This will lead to algorithm development for any machine or deep learning processes.

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Pickl AI

JULY 18, 2023

By transitioning from computer science to data science, you can tap into a broader range of job opportunities and potentially increase your earning potential. Leveraging existing skills: Computer science provides a strong foundation in programming, algorithms, and problem-solving, which are highly valuable in data science.

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ODSC - Open Data Science

JANUARY 29, 2024

The role of prompt engineer has attracted massive interest ever since Business Insider released an article last spring titled “ AI ‘Prompt Engineer Jobs: $375k Salary, No Tech Backgrund Required.” While many of us dream of having a job in AI that doesn’t require knowing AI tools and skillsets, that’s not actually the case.

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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. Begin by employing algorithms for supervised learning such as linear regression , logistic regression, decision trees, and support vector machines.

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ODSC - Open Data Science

APRIL 3, 2023

Skills like effective verbal and written communication will help back up the numbers, while data visualization (specific frameworks in the next section) can help you tell a complete story. Data Wrangling: Data Quality, ETL, Databases, Big Data The modern data analyst is expected to be able to source and retrieve their own data for analysis.

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ODSC - Open Data Science

MARCH 3, 2023

Recently, we spoke with Pedro Domingos, Professor of computer science at the University of Washington, AI researcher, and author of “The Master Algorithm” book. In the interview, we talked about the quest for the “ultimate machine learning algorithm.” So if that were to succeed, it would be the master algorithm.

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Becoming Human

MAY 15, 2023

There is a position called Data Analyst whose work is to analyze the historical data, and from that, they will derive some KPI s (Key Performance Indicators) for making any further calls. For Data Analysis you can focus on such topics as Feature Engineering , Data Wrangling , and EDA which is also known as Exploratory Data Analysis.

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phData

FEBRUARY 14, 2023

To keep up with the rapidly growing Insurance industry and its increasing data and compute needs, it’s important to centralize data from multiple sources while maintaining high performance and concurrency. Also today’s volume, variety, and velocity of data, only intensify the data-sharing issues.

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ODSC - Open Data Science

JANUARY 25, 2023

For now, this public registry contains reusable components that make it easier to work with Responsible AI, but new capabilities will continuously be added in the future. Bea Stollnitz is a developer advocate at Microsoft, focusing on Azure ML and other AI/ML technologies.

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Pickl AI

JULY 10, 2023

. · Machine Learning: R provides numerous packages for machine learning tasks, making it a popular choice for data scientists. Packages like caret, random Forest, glmnet, and xgboost offer implementations of various machine learning algorithms, including classification, regression, clustering, and dimensionality reduction.

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Heartbeat

DECEMBER 27, 2023

The machine learning (ML) lifecycle defines steps to derive values to meet business objectives using ML and artificial intelligence (AI). Here are some details about these packages: jupyterlab is for model building and data exploration. catboost is the machine learning algorithm for model building. Flask==2.1.2

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ODSC - Open Data Science

SEPTEMBER 20, 2023

Monday’s sessions will cover a wide range of topics, from Generative AI and LLMs to MLOps and Data Visualization. This day will have a strong focus on intermediate content, as well as several sessions appropriate for data practitioners at all levels. However, it will be the first day of ODSC Keynotes and expert-led talks.

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