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Machine Learning Research Help
Equip students with the skills and expertise they need to succeed in machine learning research.
Machine learning (ML) is transforming education and fundamentally changing teaching, learning, and research. Educators are using ML to spot struggling students earlier and take action to improve success and retention. Researchers are accelerating research with ML to unlock new discoveries and insights. ML is expanding the reach and impact of online learning content through localization, transcription, text-to-speech, and personalization. Lastly, Codersarts is working with Machine learning engineers, researcher and data scientist to adapt to the new world of ML and better equip students with the skills and expertise they need to succeed.
Our machine learning and applied machine learning researchers and engineers help students, developers and researcher in machine Learning Research projects and assignments
What is Machine Learning Research Help?
Machine learning is the branch of Artificial Intelligence which provides the system the ability to automatically learn from the historical data and improve the accuracy. Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves.
Common tasks in Machine Learning Research Help.
Regression: It involves understanding the relationship between two continuous dependent variables and dependent variable and categorical variable. This relationship allows for numeric prediction of the dependent variable continuous variable.
Classification: In classification problems classify the data into the groups in the dependent variable.
Clustering: In clustering problems create create groups of data points in different clusters
Forecasting: It is similar to regression. The difference is that the data is time series. The aim of forecasting is to predict the future value based on the current available data.
Association rule: Associations rules find items that occur together in a dataset
Dimensional reduction: Dimensionality reduction is the process of reducing the number of dimensions in the given dataset.
How it is helpful for ML Students and Developers, Engineers and AI researchers.
Nowadays, Data is the lifeblood of all businesses. Data-driven decisions increasingly make the difference between keeping up with competition or falling further behind. Machine learning can help a company make decisions that keep it ahead of the competition.
Important tools, packages and libraries
Scikit-learn: It is a free software machine learning library for python programming.
Pytorch: It is the open source machine learning framework based on the Torch library used for NLP and computer vision.
Tensorflow: It is an open source library for machine learning and artificial intelligence.
Weka: Weka is the collection of machine learning algorithms for data mining tasks.
Keras: keras is an open source library for artificial neural networks.
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