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Top 10 Data Science Websites to learn More

Knowledge Hut

Then, based on this information from the sample, defect or abnormality the rate for whole dataset is considered. Hypothesis testing is a part of inferential statistics which uses data from a sample to analyze results about whole dataset or population. According to a database model, the organization of data is known as database design.

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Data News — Week 24.12

Christophe Blefari

❤️ I rarely say it, if Data News helps you save time you should consider taking a paid subscription (60€/year) to help me covers the blog fees and my writing Fridays. Capslocks and repetitions to make the algorithm understand. Designing RAGs — A super long and detailed article about RAG. on April 10.

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Big Data Technologies that Everyone Should Know in 2024

Knowledge Hut

In this blog post, we will discuss such technologies. Hadoop provides a file system (HDFS) that is designed for scalability and reliability, as well as a resource manager (YARN) that enables efficient scheduling of job execution. Spark also supports SQL queries and machine learning algorithms. HDFS, Cassandra, Hive).

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Where can we apply GenAI in Life Sciences?

RandomTrees

Accelerating Drug Discovery Gen AI is changing the drug development process by using advanced algorithms to quickly and accurately identify potential drugs from large datasets. Large genomic datasets can be analyzed by GenAI algorithms, which can then be used to find genetic variations, correlations, and possible disease markers.

Medical 52
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The Ultimate Showdown: Ai Vs Human - Who Will Prevail?

Knowledge Hut

On the other hand, AI, compared to human intelligence, is a product of human-designed algorithms, computational power, and data processing capabilities. In this blog post, I will give you a detailed comparative analysis of AI vs HI. What is AI? AI lets machines analyze information, learn from data, and even make decisions.

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Who is a Machine Learning Software Engineer? Skills, Responsibilities

Knowledge Hut

Machine Learning Software Engineers are at the forefront of this revolution, applying their expertise to develop intelligent systems and algorithms. In this blog, I will describe the role of a Machine Learning Software Engineer, their responsibilities, required skills, and the path to becoming one.

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Data Science Learning Path [Beginners Roadmap]

Knowledge Hut

In fact, you reading this blog is also being recorded as an instance of data in some digital storage. Data Science is a field that uses scientific methods, algorithms, and processes to extract useful insights and knowledge from noisy data. It is also important to know the underlying math to understand the various ML algorithms.