Remove Clustering Remove Data Wrangling Remove Deep Learning Remove Machine Learning
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Training Sessions Coming to ODSC APAC 2023

ODSC - Open Data Science

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. You’ll explore the current production-grade tools, techniques, and workflows as well as explore the 8 layers of the machine learning stack.

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Journeying into the realms of ML engineers and data scientists

Dataconomy

Machine learning engineer vs data scientist: two distinct roles with overlapping expertise, each essential in unlocking the power of data-driven insights. As businesses strive to stay competitive and make data-driven decisions, the roles of machine learning engineers and data scientists have gained prominence.

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Top 10 Data Science Interviews Questions and Expert Answers

Pickl AI

Data Science skills that will help you excel professionally. Technical Proficiency Data Science interviews typically evaluate candidates on a myriad of technical skills spanning programming languages, statistical analysis, Machine Learning algorithms, and data manipulation techniques.

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How to become an AI Architect?

Pickl AI

AI Engineers focus primarily on implementing and deploying AI models and algorithms, working closely with data scientists and machine learning experts. Their responsibilities often revolve around coding, data preprocessing, model training, and optimization.

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All You Need to Know about Transitioning your Career to Data Science from Computer Science

Pickl AI

Data science equips you with the tools and techniques to manage big data, perform exploratory data analysis, and extract meaningful information from complex datasets. Making data-driven decisions: Data science empowers you to make informed decisions by analyzing and interpreting data.

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Must-Have Prompt Engineering Skills for 2024

ODSC - Open Data Science

They design intricate sequences of prompts, leveraging their knowledge of AI, machine learning, and data science to guide powerful LLMs (Large Language Models) towards complex tasks. Thus while crafting clever prompts for chatbots might be part of the picture, the prompt engineer role is far more intricate.

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Top 15 Data Analytics Projects in 2023 for beginners to Experienced

Pickl AI

Predictive Analytics Projects: Predictive analytics involves using historical data to predict future events or outcomes. Techniques like regression analysis, time series forecasting, and machine learning algorithms are used to predict customer behavior, sales trends, equipment failure, and more. ImageNet).