Pickl AI

JULY 18, 2023

The salary of an Artificial Intelligence Architect in India ranges between ₹ 18.0 An AI Architect is a skilled professional responsible for designing and implementing artificial intelligence solutions within an organization. from 2023 to 2030. Lakhs to ₹ 56.7 Their average annual salary is ₹ 31.8 Who is an AI Architect?

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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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Dataconomy

MAY 16, 2023

With the explosion of big data and advancements in computing power, organizations can now collect, store, and analyze massive amounts of data to gain valuable insights. Machine learning, a subset of artificial intelligence , enables systems to learn and improve from data without being explicitly programmed.

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ODSC - Open Data Science

OCTOBER 26, 2023

Our virtual partners include: Microsoft Azure | Qwak | Tangent Works | MIT | Pachyderm | Boston College | ArangoDB | DataGPT | Upsolver On-Demand Training You’ll also have access to our on-demand Primer Courses that cover a wide range of data science topics essential for success in the field. So, don’t delay.

Data Science 52

Data Science Data Wrangling Machine Learning Machine Learning 52

ODSC - Open Data Science

AUGUST 15, 2023

Build Classification and Regression Models with Spark on AWS Suman Debnath | Principal Developer Advocate, Data Engineering | Amazon Web Services This immersive session will cover optimizing PySpark and best practices for Spark MLlib. Finally, you’ll explore how to handle missing values and training and validating your models using PySpark.

Machine Learning 52

Machine Learning Machine Learning Data Science Data Scientist 52

ODSC - Open Data Science

MARCH 2, 2023

Programming/coding skills are to data scientists as plumbing tools are to professional plumbers. Without the ability to utilize data, create models, visualizations, algorithms, or anything else, you’re left without a story. One of the superpowers of data science is the ability to create predictive models.

Data Science 52

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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.

Computer Science 52

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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.

Data Science 52

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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.

Analytics 52

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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.” How close are we to a “Holy Grail,” aka the Ultimate Machine Learning Algorithm?

Machine Learning 52

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ODSC - Open Data Science

JANUARY 29, 2024

Python boasts a vast ecosystem of libraries like TensorFlow, PyTorch, Pandas, NumPy, and Scikit-learn, empowering prompt engineers to handle data wrangling and analysis seamlessly. Additionally, prompt engineering relies heavily on machine learning tasks like fine-tuning, bias detection, and performance evaluation.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

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.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

phData

FEBRUARY 14, 2023

Also today’s volume, variety, and velocity of data, only intensify the data-sharing issues. With Snowflake’s data marketplace, this data can be sourced in just a few clicks from various data providers without any data-wrangling efforts.

Data Governance 52

Data Governance Data Silos Predictive Analytics Data Wrangling 52

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.

Data Science 52

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ODSC - Open Data Science

JANUARY 25, 2023

This new feature enables you to run large data wrangling operations efficiently, within Azure ML, by leveraging Azure Synapse Analytics to get access to an Apache Spark pool. Another recent announcement, also still in public preview, is the integration of Spark with Azure ML.

Machine Learning 59

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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

Machine Learning 52

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ODSC - Open Data Science

SEPTEMBER 20, 2023

Register now while tickets are 50% off. Prices go up Friday! Keynotes and Talks: Neural Networks Make Stuff up. What Should We do About it?

Data Wrangling 52

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