Artificial Intelligence has created a buzz in the technology sector and is gaining popularity for all the right reasons. AI and machine learning (one of its essential subsets), is one of the most sought-after technologies that has the potential to unlock a productivity revolution in all business verticals. There are several AI and ML tools in different industrial sectors, some of which can make a real difference in an industry trying to revamp itself.
According to an Intel survey report, 70% of Indian businesses have deployed AI-enabled solutions by the end of 2019. The country is expected to create more jobs; in the field of AI and robotics.
If you are looking for a promising career ahead, then AI and machine learning might be the domain for you. In reality, many professionals have already signed up for an online training course, like the Simplilearn AI ML course, to understand its concepts and develop job-ready skills.
Now, when you start exploring the field, it is imperative to come across the top AI and ML tools used by experts in this field. As AI is designed to make human life easier by automating numerous tasks; several AI tools come in handy to accomplish it.
Let us look at some of the widely used AI and ML tools by experts in this field.
Top AI and ML Tools
Here are the top AI and ML tools you can use in the field of AI and ML.
A popular ML tool, Knime doesn’t require any programming knowledge. It is used to develop software; to create and produce data science using one intuitive environment. It enables all stakeholders in the data science process to focus on what they do best.
You can create visual workflows for data analytics with an intuitive, drag and drop style graphical interface without any coding requirement. It allows you to model each step of the data analysis, control data flow and ensure that the work is always current.
RapidMiner is one of the end-to-end data science platforms that unifies data preparation, machine learning, and model operations to improve users’ productivity across an organization.
Using this cutting-edge solution, companies can deliver insights with greater scale and speed and deliver business impact. Over 40,000 organizations worldwide use this platform to drive revenue, minimize risks, and reduce costs. In fact, it is declared a Leader in the Forrester Wave: Multimodal Predictive Analytics and Machine Learning Solutions (Q3, 2020).
IBM Watson Studio allows analysts, developers, and data scientists to develop, run, manage AI models, and optimize decisions anywhere on IBM Cloud Pak for data.
Basically, it is an IBM cloud service that utilizes data to put ML and deep learning models into production. It allows you to bring together open source frameworks like PyTorch, Scikit-Learn, and TensorFlow with IBM. Also, its ecosystem tools for code-based and visual data science. No wonder IBM Watson has recognized as a Leader in the 2021 Garner’s Magic Quadrant for Data Science and Machine Learning platforms.
TensorFlow is an end-to-end open-source ML platform. Google designed it. It encompasses a comprehensive, flexible ecosystem of tools, libraries, and community resources. It also allows developers to push the state-of-the-art in machine learning and quickly develop and deploy ML-powered applications.
With TensorFlow, you can easily develop and train machine learning models. Moreover, using high-level intuitive APIs like Keras with keen execution, allowing rapid model iteration and easy debugging.
Are you a professional with limited expertise in machine learning? If yes, then Cloud AutoML is designed for you. It helps you train high-quality ML models specific to business needs with ease. It can build your own custom machine learning model within minutes; also, with an easy-to-use graphical interface.
A unified platform called Vertex AI allows you to build, deploy and scale AI models and gain access to the ML tools that power Google. With AutoML Image, you can also draw insights from object detection and image classification.
If you aim to create scalable and performant machine learning applications, then Apache Mahout is a suitable tool for you. It is a distributed linear algebra framework to allow statisticians, mathematicians, and data scientists to implement their own algorithms quickly.
It is also an open-source platform based on Hadoop, which makes use of math-based functions like vectors. Mahout makes machine learning techniques like regression, classification, and clustering possible.
The demand for highly skilled artificial intelligence and machine learning professionals is growing from Wall Street to Silicon Valley. However, there is a lack of AI talent, and the knowledge of viable individuals; who smell desperation is highly regarded.
A study by the job search portal Indeed stated that the demand for AI and ML skilled professionals has doubled over the past three years.
So, now is the right time to start a career in AI and machine learning. So, start learning AI today! The knowledge of the AI and ML tools will definitely come in handy when you step into this promising career.
Also Read: 10+ AI Trends That Are Transforming Business