Machine learning is one of the ways using which small companies can change their approach towards big data and have a better comprehension of their customer’s satisfaction, loyalty, and behavior development. Machine learning is an effective tool for looking up anomalies and patterns that users did not even think of querying for themselves.
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Which Machine Learning Software Should Small Businesses Go For?
There are machine learning algorithms that have a sort of pre-design for specialization in one niche, but here, we would be talking about machine learning applications that allow users to execute their machine learning models for all types of data.
In this article, we will be talking about the best Machine Learning Software for Small businesses and what do users need to do for deriving the maximum value out of each of these software for data mining, deep learning, and dataset visualization.
TensorFlow
TensorFlow is a well-known company in the world of data science and machine learning. It is an open-source and free-to-use software library used for machine learning. It is commonly used for a wide range of tasks, but it has a kind of specialization in the inference and training of deep neural networks.
Some feel that Tensorflow is a symbolic math library supported by differential and dataflow programming. The machine-learning software has a detailed interface of CUDA GPUs that enables you to get access to statistical machine learning capabilities and deep learning. Both these features can help you increase the productivity of your small business.
Tensorflow’s most basic data type is called a tensor that acts as a multidimensional array. It can be considered an open-source toolkit used for developing pipelines for machine learning. These pipelines help you in creating scalable systems which are essential for processing data.
TensorFlow offers functions and support for several applications of machine learning, including NLP, computer vision, and reinforcement learning as well.
IBM Machine Learning
IBM Machine Learning suite allows you to mix and match between several products such as IBM Watson Machine Learning, IBM Cloud Pak for Data, IBM Watson Studio, and IBM macOS OpenScale. Users get the option to create their artificial intelligence models with the help of open-source tools.
IBM Machine Learning also offers a strong free lite plan for 20 CUH. You also get a maximum of two parallel decision optimization jobs for batches for each deployment. The cost of IBM Machine Learning starts from 0.50 USD per CUH. It also has a free lite plan that has 20 capacity unit-hours. If you prefer a paid plan, you can also opt for a free trial first to decide if the software is a good choice for you.
Some of the advantages of using IBM Machine Learning are:
- Drag-and-drop data blending, data prep, and modeling.
- To simplify unstructured data, there is text analytics.
- Receive limitless modeling without any overages.
- Has proper documentation, and the API is simple too.
There are some disadvantages of IBM Machine Learning as well. These are:
- You have to initiate each service in different tabs, and you don’t get a unified overview of the same.
- The implementation journey is long and takes up considerable time.
- There are some setbacks and barriers when you try to adjust results and parameters in training models.
Shogun
Shogun is an open-source and famous machine learning software. The language used to write it is C++. It provides support for several languages such as Scala, C#, Python, Ruby, etc. Shogun supports multiple algorithms like dimensionality reduction, hidden Markov models, clustering algorithms, support vector machines, linear discriminant analysis.
Shogun is supported by multiple platforms like MacOS, Unix or Linux, and Windows. You can use Shogun on both your browser and on the cloud. The software is free to use and works on the principle of community-based development. Shogun also incorporates machine learning education in its work.
Shogun has a well-established library if we talk in terms of language, and this is probably one of the biggest advantages of using it. This results in enhanced accessibility in distinct platforms and cross-platform as well. You need to install Shogun with PIP to use it. The Pythonic package ecosystem of Shogun is very large.
Google Cloud AI Platform
Google Cloud has integrated its AutoML, artificial intelligence platform, and MLOps for a holistic and collective experience. The software has the capability to scale to the skill level of the user since it provides point-and-click data science with the help of AutoML along with advanced model optimization.
Google Cloud AI Platform offers both no-code and code-based tools so that you receive a comprehensive machine learning experience. The platform comes at a starting price of 0.19 USD per hour. You also get free credit worth USD 300 that you can use for the first 90 days.
The advantages of using the Google Cloud AI Platform are:
- Validation testing for What-if Scenarios and artificial intelligence.
- The interface is not tough to use and you can understand it easily.
- The connection is stable owing to TensorFlow and TPU
- Some unique CV algorithms and processing modules for videos
However, every coin has two sides, and there are some drawbacks to using the platform too. These are:
- Not a good option for hybrid cloud deployments
- Does not have extra library support, and if incorporated, this would be a good addition.
- Has only 25 models running that work in parallel.
Apache Mahout
If you wish to employ a machine learning software that focuses more on collaborative filtering along with classification, then Apache Mahout is a good choice. The mentioned implementations act as an extension of the Apache Hadoop Platform.
This work is still going on as of now, but with each passing day, it is becoming capable of supporting a larger number of variables. Owing to the fact that the machine learning solution is implemented on top of Hadoop, it employs the Reduce or Map paradigms. Apache Mahout has the potential to add a lot of value to your small business.
Some of the distinctive capabilities of Apache Mahout include:
- It offers expressive Scala DSL. To perform deep learning computations, it also offers a distributed linear algebra framework.
- It also offers native solvers for CUDA accelerators, CPUs, and GPUs.
Azure Machine Learning
With the help of Azure Machine Learning, users have to spend less time learning and can create easily and implement machine learning models. Azure Machine Learning was introduced by Microsoft, and it has been one of their most successful projects.
QA leads have the option to employ machine learning that is fully automated and has the power to spot appropriate hyperparameters and algorithms. Several accentuated services provided by Azure are free to use for an indefinite period. These free services include various app services, automation, and event processing that is equivalent to 500 minutes of job runtime.
The starting cost of Azure Machine Learning is 0.333 USD per hour. You can also avail of one year of free services with a credit worth USD 200 for one month. Let us have a look at some of the benefits of using Azure Machine Learning:
- Amazing models that are pre-trained.
- Suitable for users that do not have a detailed coding background.
- A strong suite that has a lot of free product add-ons.
- An extended free trial along with dollar-value credits.
Apart from the advantages mentioned above, there are some disadvantages of using Azure too. These are discussed below:
- It is a bit difficult to insert Python and run it.
- The connection to Tableau is not easy.
- Does not efficiently handle heavy statistical models.
Conclusion
We have discussed the best machine learning software that can work wonders for your small business. We hope that the tools mentioned above let you work more efficiently and remove all the barriers. You can give your customers an efficient software development solution according to their needs using machine learning software.
If you are thinking of building an application for your company, you can greatly benefit from application development software. These software assist you in creating, debugging, testing, and managing frameworks and applications using successive stages in an orderly fashion. You can go through the best application development software for small businesses so that you can pick one easily.
