Gone are the days of just welcoming customers to your brick & mortar store without knowing anything about their preferences, whereby chances of conversions — close to zero. But with Machine Learning tools, gathering a wealth of information about your customers and leveraging online platforms to drive more sales is possible. Get to know those outstanding ML tools and look for the benefits each tool offers.
Machine Learning is a subset of Artificial Intelligence that works entirely on data; leveraging it to predict future outcomes is where Machine Learning excels.
You must have noticed that once you watch a thriller genre web series on Netflix, the next time you open Netflix, it suggests similar kinds of shows.
Or, you must have even received proactive notifications of the call on Truecaller before the actual call; this is a game of Machine Learning tools and algorithms.
Both the above examples are part of some Machine Learning software tools, be it Azure or Amazon, Google, or it can be IBM Cloud. And regarding Machine Learning in software development, it delivers customized experiences to hook customers. It offers predictive models to forecast upcoming trends and ensure automation with autonomous systems to outstanding anomaly detection mechanisms.
Machine Learning leaves no stone unturned to deliver desired results, from big names to startups. So, what are you waiting for? Read this blog for more details on Machine Learning (ML) tools and see what benefits different industries have enjoyed.
Undoubtedly, several ML tools are available online, but what matters is which one suits your software and what dramatic changes these tools for ML bring to your business. Considering how to overcome the challenges you’re currently facing in your software and deliver desired results, here are the six best Machine Learning tools for you.
Microsoft’s Azure Machine Learning software is an excellent choice for developers due to its drag-and-drop interface and easy learning curve. Apart from this, Microsoft offers multiple Machine Learning platforms that you can adopt as per your requirement.
But when we talk about entrepreneurs, decision-makers, or product owners specifically, Azure Machine Learning is worth being on top of this list. Its extensive list of features ensures a competitive edge for your business. Besides, the development time of Machine Learning models is half what it used to be, making it an economical choice.
Below are a few unique features of Azure Machine Learning Software Tool for you:
This is one of the machine learning tools based on neural networks. Just like other ones on the list, this is also a Graphical User Interface tool, making data entry and results interpretation easier. You can leverage Neural Designer to recognize patterns, forecast possibilities, and unveil relationships between data.
Below are the unique features of the Neural Designer Machine Learning tool, making it a game-changer for you:
In the middle of our best Machine Learning software tools list, there comes Microsoft Cognitive Toolkit. This is another Microsoft AI solution after Azure Machine Learning with a different machine training methodology. It uses deep learning algorithms to train machines and handles data from C++, Python, and other programming languages.
An open-source toolkit that helps build, train, and deploy deep neural networks. This machine learning software toolkit has various uses, such as:
One of the best Machine Learning software on the list is built by Amazon, which helps developers to develop, deploy, and train Machine Learning models.
Through Amazon’s Machine Learning tool, you can:
IBM Cloud is a hub of cloud computing services, enabling both Platform-as-a-Service(PaaS) and Infrastructure-as-a-Service(IaaS). Another great feature of IBM Cloud is it helps develop, run, and manage apps on-premises and public cloud.
IBM Cloud offers a list of services useful for you as an entrepreneur, businessman, or startup:
Closing our top Machine Learning tools list with the Google Cloud AI platform that enables training and hosting your Machine Learning models in the cloud. Besides, this AI platform by Google also ensures that the trained models predict after analyzing the data. The combination of AI and ML plays a pivotal role in enhancing customer experience.
These are some unique features of the Google Cloud AI Platform:
In the realm of Machine Learning tools, the previously mentioned six hold a significant position in the market, not just due to their association with well-known tech giants but also because of their capabilities in solving crucial issues and ensuring a seamless customer experience with your software.
However, the landscape offers more. Apart from these six, several other machine learning software/tools/libraries are available in the market that have gained popularity.
Let’s delve into some of these libraries to ensure a comprehensive understanding.
This ML tool helps in image classification, facial recognition, and speech recognition and can implement recommendation systems.
A machine learning tool capable of executing object detection models, streamlining data augmentation, and creating generative content.
What amazes us about PyTorch’s machine-learning library is its decision-making capabilities and game-playing skills.
Scikit-Learn enables leveraging algorithms for data prediction and interpreting it for decision-making.
Matplotlib enables interpreting data through histograms. Besides, it even helps with heatmaps to understand customer behavior.
Data visualization or manipulation is easily enabled using NumPy. This ML library is in demand for data analysis and numerical computation.
SciPy is high performing ML library that computes large datasets and simplifies CPU-intensive tasks.
Theano is flexible machine learning software that works amazingly well with other ML tools like Keras.
This library can prepare data and interchange between libraries. With Pandas, you can manipulate data and promote computations.
This one also helps build recommendation systems and detect & prevent anomalies in your software.
These are just a few use cases of particular machine learning libraries. You can delve deeper into each of them for detailed information.
In the realm of Machine Learning tools, these six hold a significant position in the market. Not because some well-known tech giants build or use them but because of their capabilities in solving crucial issues and ensuring swift customer experience with your software. Whether offering products/services based on their search & purchase history or preventing your customers from financial fraud, your investment in leveraging Machine Learning tools indirectly hooks your customers to your software. Hence, you must consider any of the above-listed ML tools for the betterment of your business.
Partner with a reputed software development company like Bacancy and supercharge your projects with cutting-edge Machine Learning Tools.
Machine Learning tools are essential to leverage because they put you one step ahead of your customers by letting you know what they seek. Presenting them with what they need or preventing them from troubles is where Machine Learning tools help and assure a high customer retention ratio.
The answer to the question depends on the problem you want to solve with the tool. All the Machine Learning softwares are investment-worthy; however, you must identify the challenges and select the best solution.
Yes, a machine learning tool(s) can be integrated into the existing software. All it requires is first to analyze the requirement of ML in the process, and then it can be concluded which tool would be the most suitable ML tool.
The cost to integrate machine learning functionalities depends on several factors like use case, time to market, availing subject matter expertise, and many more. You can definitely get in touch with our adroit ML engineer for further technical details.
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