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What are the Commonly Used Machine Learning Algorithms?

Knowledge Hut

There is no end to what can be achieved with the right ML algorithm. Machine Learning is comprised of different types of algorithms, each of which performs a unique task. U sers deploy these algorithms based on the problem statement and complexity of the problem they deal with.

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Top Posts Feb 14-20: Decision Tree Algorithm, Explained

KDnuggets

Also: Free MIT Courses on Calculus: The Key to Understanding Deep Learning; How to Learn Math for Machine Learning; Is Data Science a Dying Career?; Top Programming Languages and Their Uses.

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Know More About Deep Learning Python

U-Next

Introduction: About Deep Learning Python. Initiatives based on Machine Learning (ML) and Artificial Intelligence (AI) are what the future has in store. Python has progressively risen to become the sixth most popular programming language in the 2020s from its founding in February 1991. What Is Deep Learning Python?

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Top 11 Programming Languages for Data Scientists in 2023

Edureka

Aspiring data scientists must familiarize themselves with the best programming languages in their field. Programming Languages for Data Scientists Here are the top 11 programming languages for data scientists, listed in no particular order: 1. TensorFlow is especially popular in the field of deep learning.

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Top 16 Data Science Specializations of 2024 + Tips to Choose

Knowledge Hut

In addition, there are professionals who want to remain current with the most recent capabilities, such as Machine Learning, Deep Learning, and Data Science, in order to further their careers or switch to an entirely other field. Learning Outcomes: Acquire the skills necessary to assess models developed from data.

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Top 10 Deep Learning Skills to Be an Expert in 2024

Knowledge Hut

Deep learning is one of the major domains of pursuing a career in technology and development. With the growth in technology, the importance of machine learning and deep learning technology is also increasing. Learning effective deep learning skills is crucial to pursuing a career in this discipline.

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Natural Language Processing: A Guide to NLP Use Cases, Approaches, and Tools

AltexSoft

But today’s programs, armed with machine learning and deep learning algorithms, go beyond picking the right line in reply, and help with many text and speech processing problems. Machine learning-based NLP — the basic way of doing NLP. The prepared data is then fed to the algorithm for training.

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