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Top Trending Professional Courses in 2024

Knowledge Hut

While CA (Chartered Accounting) was the go-to choice for commerce students, CFA has arisen to become a choice globally for students because of its comprehensive curriculum and the lucrative job opportunities it opens up in fields like Investment Banking, Portfolio Management, Financial Strategy, and Research Analysis.

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Deep Learning for Image Classification in Python with CNN

ProjectPro

Machines learning algorithms on the other hand, while classifying images face these challenges, and Image Classification becomes an exciting problem for us to solve. However, one of the most important and noble pursuits of image classification has been its use in medical diagnosis. Build a Job-Winning Data Science Portfolio.

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Top 10 Emerging Artificial Intelligence Technologies in 2023

Knowledge Hut

From forecasting future trends to fraud detection, machine-learning platforms are capable of a wide range of tasks and are proactively used by enterprises to help with all their business operations. One of the most popular applications of this AI technology is for training deep learning models, which involves computationally intensive tasks.

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50 ML Projects To Strengthen Your Portfolio and Get You Hired

ProjectPro

ML Project for Medical Image Segmentation with Deep Learning This project segments medical colonoscopic images/scans and detects colon polyps present in the frames. You will learn to implement unet++ models for image segmentation using PyTorch. Customer Churn Prediction Project with Source Code and Guided Videos 8.

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Top 22 Data Science Applications That You Should Know

Knowledge Hut

The software includes data analysis and machine learning models that automatically recognize user characteristics and show them product preferences accordingly. Medical Image Analysis Data science applications in healthcare or Medical science have several uses. Analyzing medical images is one of them.

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AI in Drug Discovery and Repurposing: Benefits, Approaches, and Use Cases

AltexSoft

So, it comes as no surprise that all large biopharma companies are investing in AI, particularly in deep learning , which has the potential to make the hunt for drugs cheaper, faster, and more precise. It’s worth noting that regulatory bodies treat the use of machine learning in healthcare with caution. Source: Deloitte.

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Top 15 Machine Learning Use Cases in 2023

ProjectPro

The machine learning techniques are applicable in enhancing the security of the transactions by detecting the possibilities of fraud in advance. Deep learning solutions using Python or R programming language can predict fraudulent behavior. It is continually achieving better model portfolios as a result.