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5 Machine Learning Skills Every Machine Learning Engineer Should Know in 2023

Flipboard

Most essential skills are programming, data preparation, statistical analysis, deep learning, and natural language processing.

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Top 7 Data Science, Large Language Model, and AI Blogs of 2024

Data Science Dojo

Understanding Statistical Distributions through Examples Understanding statistical distributions is crucial in data science and machine learning, as these distributions form the foundation for modeling, analysis, and predictions. Read to gain insights into how each distribution plays a role in real-world machine-learning tasks.

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The Ultimate Guide to Data Preparation for Machine Learning

DagsHub

Introduction Machine learning models learn patterns from data and leverage the learning, captured in the model weights, to make predictions on new, unseen data. Data, is therefore, essential to the quality and performance of machine learning models.

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Top 10 Machine Learning (ML) Tools for Developers in 2023

Towards AI

Last Updated on June 27, 2023 by Editorial Team Source: Unsplash This piece dives into the top machine learning developer tools being used by developers — start building! In the rapidly expanding field of artificial intelligence (AI), machine learning tools play an instrumental role.

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LLMOps demystified: Why it’s crucial and best practices for 2023

Data Science Dojo

Similar to traditional Machine Learning Ops (MLOps), LLMOps necessitates a collaborative effort involving data scientists, DevOps engineers, and IT professionals. LLMOps MLOps for Large Language Model What are the components of LLMOps? This includes tokenizing the data, removing stop words, and normalizing the text.

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6 AI tools revolutionizing data analysis: Unleashing the best in business

Data Science Dojo

TensorFlow First on the AI tool list, we have TensorFlow which is an open-source software library for numerical computation using data flow graphs. It is used for machine learning, natural language processing, and computer vision tasks. It is easy to learn and use, even for beginners.

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Enjoy the journey while your business runs on autopilot

Dataconomy

By harnessing the power of data and analytics, companies can gain a competitive edge, enhance customer satisfaction, and mitigate risks effectively. Leveraging a combination of data, analytics, and machine learning, it emerges as a multidisciplinary field that empowers organizations to optimize their decision-making processes.