AutoML

An OverviewPhoto by Joshua Sortino on UnsplashAI is still one of the hottest topics as of now, especially with the rise of ChatGPT. Many companies are now trying to make use of AI in order to extract useful insights from data that can be used to optimize their processes or bring out better products.However, building effective AI models requires a lot of expertise in different fields, like data preprocessing, model selection, hyperparameter tuning and many more. All these fields can be time-consuming and require…

Table of Contents Introduction What is AutoML? Why is AutoML the need of the future? Various AutoML Platforms Will AutoML replace data scientists? Conclusion References Introduction An old idea that has changed everything is automation. Every tool and method we have ever created, in one way or another, involves some level of automation. An emerging field known as automated machine learning, or AutoML, automates the process of creating machine learning models to model data. With the best AutoML for ML projects,…

Breakthroughs in artificial intelligence and machine learning have been two of the most exciting topics of the last two decades. Extensive research and hard work are necessary for machine learning and data science engineers to understand and run their models effectively.  While they may differ depending on different individuals, the traditional machine learning steps include: Data Acquisition Data Exploration Data Preparation Feature Engineering Model Selection Model Training Hyper Parameter Tuning…

Machine learning is the emerging future technology. Artificial intelligence entailed with machine learning increases the demand for machine learning engineers and data scientists. But handling machine learning is a tough job. Machine learning is an application of artificial intelligence that provides systems with the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning educates itself with its sense to observe. It doesn’t need a human hand for help. Whether it…

AutoML cannot replace a data scientist’s job; instead, it may help speed up a data scientist’s work. AutoML (Automated Machine Learning) automates certain key components of the machine learning pipeline. Data interpretation, data engineering, extraction of features, model training, hyperparameter tweaking, model monitoring, and so on are all part of this machine learning process. What is AutoML, and will it affect a Data Scientist Job? Some aspects of the machine learning pipeline are…

Machine learning (ML) has been developed and growing fast. It also depends on an expert in ML to develop the ML model, i.e. pre-processing, building model, feature engineering, tuning of hyper-parameters, etc. Data scientists have many demanding responsibilities, and challenges. These challenges include the selection of the best algorithm, modification of this algorithm over many iterations, and identification and tuning of the hyper-parameters many times. Despite going through difficult processes, it is worth noting to…