Best AI tools 2023

Looking for Best AI tools 2023? We all know that the AI era has started and growing at a rapid pace. But befor starting tihs blog I assume that you know What is AI? in the first place. AI has advanced so much that it helps us humans in so many ways. There are so many AI tools which are now available which make life easy for us humans as they reduce the time that it takes to complete certain tasks and they are very easy to use and efficient too. 

Here is a list of some popular AI tools and a brief description of each tool and its website.

1. TensorFlow :

TensorFlow, an open source machine learning framework created by google. It offers a rich ecosystem of tools, libraries, and community resources for building and deploying AI models. TensorFlow is widely used by researchers and practitioners due to its support for various platforms and extensive documentation.

2. PyTorch :

PyTorch is another open source machine learning framework focused on dynamic computational graphs. It provides a flexible and intuitive interface for building neural networks and conducting AI research. PyTorch is renowned for its ease of use, superior deep learning support, and vibrant development community.

3. scikit-learn :

scikit-learn is a Python machine learning library. There are many different approaches and tools that can be used for tasks including classification, regression, clustering, and dimensionality reduction.

Scikit-learn is well-liked by novices and experts alike because it was made to be quick and effective.

4. Keras :

Keras is a high-level neural network library written in Python. It offers a simple API that enables quick experimentation and deep learning model prototyping. Keras offers a modular approach to building models and can run on top of TensorFlow, Theano, or the Microsoft Cognitive Toolkit (CNTK).

5. Microsoft Azure Cognitive Services :

Microsoft Azure Cognitive Services is a collection of AI services that enable developers to add various capabilities to their applications.It has APIs for speech recognition, computer vision, and other topics.. Azure Cognitive Services simplifies the integration of AI into your applications without requiring deep machine learning skills. 6. IBM Watson (https:

http://www.ibm.com/watson)

IBM Watson is a suite of AI-powered tools and services from IBM. These encompass a wide range of capabilities like data analysis, speech recognition, computer vision, and natural language processing. With IBM Watson, businesses can use AI technology to gain insights, automate processes and improve decision-making.

7. OpenAI Gym :

OpenAI Gym is a toolkit for developing and comparing reinforcement learning algorithms. It provides a collection of environments and interfaces for training agents in tasks such as games, robotics, and control problems. OpenAI Gym is widely used by researchers and developers to advance the field of reinforcement learning.

8. H2O.ai : 

H2O.ai is an open source machine learning and AI platform. It offers various tools and frameworks, including H2O.ai AutoML, which automates the process of model selection and hyperparameter optimization.Scalability, usability, and support for multiple data sources are all strengths of H2O.ai.

9. Rapid Miner :

RapidMiner is a data science platform that provides a visual interface for building and deploying AI models. Due to the variety of data preparation, modelling, and evaluation tools it provides, it is appropriate for both novices and specialists. Rapid Miner supports integration with popular programming languages ​​and data storage systems.

10. DataRobot :

An automated machine learning platform called DataRobot seeks to streamline the development and use of AI models.. It uses a combination of automated feature engineering, model selection, and hyperparameter optimization to generate highly accurate models. DataRobot is widely used across industries for a variety of predictive analytics tasks.  

The list doesn’t end here, there are hundreds and thousands of AI tools available for different types of works that require repetition and consume a lot of our precious time. This is just the beginning of the AI era and it has already advanced so much that we humans are worrying that AI will take over and take millions of jobs. But, instead of worrying about AI taking our job we should learn to automate our work with the help of AI tools and start focusing on different meaningful tasks and start living our life gracefully. 

That is it for this blog as of now, I will catch you in the next one. Till then take care and keep learning.