Lecture 1.16 | Issues in Machine Learning and Data Science | Machine learning techniques | #mlt #ai

Tech Master Edu
Tech Master Edu
3.8 هزار بار بازدید - پارسال - In this video, we'll discuss
In this video, we'll discuss the most common issues and challenges that arise in machine learning and data science. While machine learning and data science are powerful tools, they come with their own set of challenges that can make it difficult to achieve accurate and reliable results.

In this video, we'll cover the following topics:

1. Data Quality and biasing
2. Model Interpretability
3. Security and Privacy
4. Overfitting and underfitting
5. Data scarcity
6. Computational resources

Whether you're a beginner or an experienced data scientist, this video will provide you with valuable insights into the most common issues faced in machine learning and data science, and how to address them effectively.

Make sure to subscribe to our channel for more machine learning and data science tutorials and hit the bell icon to be notified when we post new videos. And if you have any questions or comments, please leave them below—we'd love to hear from you!

#MachineLearning #DataScience #DataQuality #Bias #Fairness #Explainability #Interpretability #Security #Privacy #Scalability #Challenges #Solutions #Tutorial #Beginners #Experienced #DataPreprocessing #ModelInterpretation #SensitiveData #LargeDatasets #BigData #ArtificialIntelligence #AI #machinelearningtechniques

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پارسال در تاریخ 1402/02/18 منتشر شده است.
3,868 بـار بازدید شده
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