Best Machine Learning Platforms 2022

We all are aware of the hottest technologies of current time such as Artificial Intelligence , Machine Learning and Data Science. By looking at the immense benefits of them various business owners are looking forward to adapting them in any manner to get advanced business solutions.
Have you ever wondered why streaming through spotify we all get an upcoming song suggestion based on our preferences? Yes, all it is possible because of Machine Learning !!!

Majority of us have no clear understanding of what Machine learning is in reality. So stay tuned to know in-depth about it and which platforms are required by ML engineers to develop a business model for your business.

What is Machine Learning ?

Machine learning is the science of computers acting and learning like humans without having to program them directly by feeding them human observations in the form of knowledge and data.

It is the study of computer systems that learn and adapt based on the experiences without being explicitly programmed. So in short Machine learning engineers can "train" a machine using machine learning models by feeding it vast data.

Dataiku:
It is the most popular platform helping in building the most robust ML business models with strong features. It is known for supporting models such as python and scala effectively. DataiKu supports various frameworks such as sci-kit, XGBoost with deep learning tools such as Keras and tensorflow.

Google Vertex AI:

This platform is popular in supporting AutoML APIs , pre-trained custom tooling which helps in faster model development. Various frameworks such as TensorFlow, PyTorch, and scikit-learn all get supported by Google Vertex. It also offers a complete set of tools and technologies to build, deploy and scale various Machine learning models.

KNIME:

KNIME is a popular framework designed to integrate AWS and Azure to deliver the low code programming and to manage models. It is also designed for both business as well as for the technical users. One of the benefits of it is that it provides powerful automation features for a variety of ML workloads and due to intuitive graphical user interface building ML solutions for ML developers or non-technical people gets easier.

H2O.ai:
H2O.ai is known for offering the most powerful feature especially created for computer visions and Natural language processing-NLP. It supports numerous automation capabilities such as feature engineering, model assembly, label assignment, model documentation, hyperparameter autotuning, and machine learning interpretability.

Thus here we have covered some of the best Machine learning platforms which are trending nowadays. Also along with these platforms every business would be needing a quality machine learning development company. You can hire Machine Learning engineers to build scalable ML business models who are expert in using ML trending platforms depending upon your project requirements.