Intelligence Analysis Software For Mac

10.09.2020by

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The Best 7 Free and Open-Source Artificial Intelligence Software
4.7Free and open-source artificial intelligence software
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The Best 7 Free and Open-Source Artificial Intelligence Software

Artificial Intelligence For PC advanced process of a machine to make decisions on the basis of logic involves the Artificial Intelligence technology. The creation of conversational chatbots, self-driving cars and recommendation systems clearly highlights the global impact of AI. It pervades in many parts of our lives and is considered one of the hottest areas of technology research.

Systems that have incorporated AI technologies not only act as a coded mechanized system but they also start thinking like humans. They are super powered to the level that they can execute tasks like; planning, strategizing and making decisions.

In business software, you will find the increasing use of Artificial Intelligence (AI) that helps in creating smart applications. Deep learning and machine algorithms are incorporated into the functionality of smart applications that automate business tasks. Studies indicate that by 2024, the global artificial intelligence market is expected to reach $71 billion. It also points out that from 2019 -2024, the CAGR will be 26%.

Let’s gain in-depth knowledge and understanding of artificial intelligence.

What is Artificial Intelligence?

Artificial Intelligence is an area of computer science that goes behind the creation of intelligent machines which can function and respond like a human. They aim to produce smart devices. In the technology industry, AI is considered an indispensable part. The core facet of AI is Machine learning.

What are Key Aspects of Artificial Intelligence?

The key aspects of artificial Intelligence solutions are as follows:

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Why is Artificial Intelligence important?

AI is essential due to the following reasons:

You can use AI in healthcare, sports, retail, and manufacturing.

How is Artificial Intelligence beneficial for your business?

Artificial intelligence is becoming a regularly used competitive tool. As per the research by Forrester /IDC/Narrative Science – this year across all businesses there is a 300% increase investment in AI methodology, 80% of executives say AI creates new positions and boosts productivity, 57% of businesses expect that AI will help improve customer experience and support, 20% of major retailers will use AI to personalize the brand experience from awareness through purchase, and 20% of all workers will use automated assistance technologies to make decisions and get work done.

After knowing about AI, let’s move on to artificial intelligence software.

What is Artificial Intelligence Software?

The software that is competent of intelligent behavior is known as artificial intelligence software. AI software is packed with a number of capabilities that can address key areas like reasoning, problem-solving, knowledge representation, learning, and perception.

You can see the involvement of artificial intelligence software in applications like smartphone assistant, voice and image recognition software and ATMs that read checks.

How AI has influenced various sectors?

In the various sectors, you can see the influence of Artificial intelligence:

The constant advancements in artificial intelligence applications have transformed the way of working. It enables faster, innovative new products and services, and more informed decisions which were missing in the absence of AI.

Artificial Intelligence technology is blooming to a great extent. You will find its contribution in natural language generation, speech recognition, virtual agents, machine learning platforms, AI-optimized hardware, deep learning platforms, decision management, biometrics, robotic process automation and text analytics and NLP.

If you are looking for open-source artificial intelligence tools as they are often free to use and customize, then you have landed on the apt page. From the following sections of this article you should be able to gather the knowledge and understanding of free, open-source artificial intelligence software.

Free and open-source artificial intelligence software

1 TensorFlow

TensorFlow is an open-source artificial intelligence software that helps you develop and train Machine learning models. It presents the library for high-performance numerical computation. Across a variety of platforms (CPUs, GPUs, TPUs) this free AI software allows easy deployment of computation due to its flexible architecture.

With this software, you can accomplish the power of data in your business by building advanced predictive modeling applications. This software makes use of data flow graphs to build models. In perception, understanding, prediction, creation, and classification, you can make use of this software.

You will find the primary use of this software in voice/sound recognition, text-based applications, image recognition, video detection, and time-series data.The time series algorithms of TensorFlow are mainly used in the field of finance, accounting, and enterprise /resource planning.

Several companies, like Dropbox, eBay, Twitter, Uber, and Intel, make use of this application. Behind several Google tools, this AI tool works as the engine. It contains Google photos and the speech recognition found in the Google app. This software works on various platforms like desktops, clusters, mobile, and edge devices, CPUs, GPUs, and TPUs due to its easy-to-use interface and architecture.

Key features

  • Predictive Analytics
  • Adaptive & Speech Recognition
  • Data Ingestion
  • Intuitive high-level APIs
  • Easy model building
  • Robust ML production
  • Transfer Learning
  • Multi-languages
  • Workflow Automation

2 IBM Watson

IBM Watson is a free, open-source AI software that provides authority to the companies to speed up the research and discovery, calculate disruptions, and improve interactions. Several businesses are taking advantage of this software to study their data, gather intellectual property, insights, and predict their future performance easily. By using cloud-based IBM platform, organizations can make more informed decisions.

It is designed for enterprises from various sectors like IoT, consumer engagement, education, healthcare, energy, finance, work, and transportation. By using advanced AI and machine learning, enterprises can discover new opportunities and update themselves about possible regulations and risks. This app will allow you to increase your productivity.

Key features

  • Personalized communication
  • Risk mitigation
  • Domain-specific research
  • Discovery acceleration
  • Interaction enrichment
  • System condition monitoring
  • Liabilities detection
  • Disruption anticipation
  • Chatbots & knowledge management
  • Visual recognition & discovery news
  • Speech to text & text to speech
  • Natural language classifier
  • Tone analyzer
  • Personality insights
  • Language translator & native language classifier

3 Apache Mahout

Apache Mahout is a distributed framework that efficiently handles the processing of the data. You can proficiently use this free AI tool for data mining in conjunction with Hadoop. Facebook, Foursquare, Twitter, LinkedIn, and Yahoo are all massive corporations that make use of this software for data mining.

Amazon and Facebook make use of recommender engines, also known as collaborative filtering to attract users and offer products by mining user behavior. In one place, this open -source artificial intelligence software groups objects of similar nature by making use of clustering feature. Summly is a Google app that shows the news from different news sites.

Facebook’s face detection and spam checker use the technique of classification that helps in deciding whether a thing justifies being a part of some type or not. Applications can analyze data faster and more effectively by using this software. You will find excellent community support in this software.

Key features

  • Supports a community of users
  • Focuses on the practical problems
  • Adaptive & Chatbot
  • Digital Assistants
  • Extensible programming framework
  • Scalable algorithms
  • Clustering & Classification
  • Provides appropriate documentation
  • Multi-languages
  • Process/Workflow Automation
  • Speech recognition

4 OpenNN

OpenNN is the free, open-source artificial intelligence software that is written in C++ programming language. It provides a higher processing speed. For advanced analytics, this app works as a free neural network library. In energy, health, and marketing, this app gets to the bottom of many applications.

This free artificial intelligence software deals with machine learning solutions due to the presence of sophisticated algorithms and utilities. The machine learning solutions that are covered is regression, classification, forecasting, and association.

With universal approximation properties, this software allows the design of neural networks. The high performance of this software is its main advantage. It offers technology evaluation, proof of concept, design, and implementation.

Key features

  • Digital Assistants
  • Predictive Analytics
  • Fast performance
  • Speech recognition & multiple languages
  • Unified Modeling Language (UML)
  • Adaptive & Chatbot
  • Virtual Personal Assistant (VPA)
  • Sophisticated algorithms
  • Forecasting
  • Advanced analytics

5 Scikit-learn

Scikit-learn is the free artificial intelligence tool that provides a variety of supervised and unsupervised learning algorithms through a consistent interface. It is considered a simple and efficient tool for data mining and data analysis. In various contexts, this free open source AI software is reusable and accessible to everybody. You can consider this app if you want to bring machine learning into a production system.

This software serves as a convenient platform that can predict consumer behavior. Around the world, Scikit-learn is extensively used by commercial and research organizations. The business entities and research organizations find the module of this software easy to use as it allows performing the multitude of processes.

Key features

  • Adaptive & data ingestion
  • Clustering & Classification
  • Preprocessing
  • Model Selection
  • Dimensionality reduction
  • Regression
  • Cross-Validation
  • Datasets & digital Assistants
  • Dimensionality Reduction
  • Manifold Learning
  • Machine learning
  • Process/Workflow Automation
  • Virtual Personal Assistant (VPA)

6 Accord.NET

If you are looking for a free artificial intelligence tool, then Accord.NET is apt for your requirement. This app is a .NET machine learning framework that combines with audio and image processing libraries. This open-source AI development tool offers statistical analysis, image processing, machine learning, and mathematics and computer vision.

For creating production-grade computer vision, audition of computer, signal dispensation, statistics applications, and commercial use, you will find this software a complete framework. The structure of this software is divided into a library that includes scientific computing along with signal and image processing.

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Key features

  • Data Ingestion
  • Adaptive
  • Support Vector Machines
  • Deep learning
  • Camshift object tracking
  • Haar-feature image recognition
  • Decision Trees along with automatic code generation
  • Hypothesis Testing
  • Statistical Analysis
  • Hidden and conditional random fields
  • Standard & multinomial logistic regression
  • Second-order neural network learning algorithms
  • Digital Assistants & Multi languages
  • Process/Workflow Automation
  • Speech recognition

7 Torch

This free, open-source artificial intelligence tool is a scientific computing framework with ample support for machine learning algorithms that places GPUs first.Torch believes in having complete flexibility and speed in building scientific algorithms. It makes the process enormously simple.

In machine learning, computer vision, parallel processing, signal processing, networking, image, video, audio, you will find that this free AI software app comes with a vast ecosystem of community-driven packages.

Consistently, this app is evolving and is used within Facebook, Twitter, NYU, Purdue, numerous research labs, and companies. It is swift and holds massive data along with new dynamic scoring.

Key features

  • Chatbot & speech recognition
  • Adaptive & Digital Assistants
  • N-dimensional array
  • Routines for indexing, slicing transposing
  • GPU support
  • Fixed with ports to iOS and Android backends
  • Neural network
  • Energy-based models
  • Predictive Analytics
  • Machine learning

Comparison chart of Aritificial Intelligence Software

Concluding statement

AI influences many real-world applications like facial recognition, language translators, and assistants like Siri, Alexa and Netflix. Not only AI is working for consumer applications but also offers significant benefits for businesses and economies by contributing to productivity growth and economies.

Across multiple industries, AI is exhibiting the extensiveness of technology applications. You will find its power in Robotics, healthcare, finance, travel and transportation, Google: smart apps, social media, e-commerce, and marketing.

In day-to-day services, AI plays an important role. We expect a lot more use of this technology in the future due to rapid growth in technology and development. The above mentioned free and open-source artificial Intelligence software solutions are capable of performing frequent and computerized task reliably. To your existing products, the open-source tools for artificial intelligence will add quality from security intelligence to investment analysis.With the best open-source AI tool, you can get unbelievable accuracy through deep learning networks.

You will find the full-fledged list of the best Artificial Intelligence Software solutions in GoodFirms platform. The list will help you get familiarized with several Artificial Intelligence software along with its reviews and ratings.

Frankly speaking, there isn’t a long list of free qualitative data analysis software for MAC. Still, there is a choice of tools to help you sort, organize and analyze a large amount of text or other types of data.

Nowadays, computer-assisted qualitative data analysis software (CAQDAS) is a must for researchers and data professionals. You can use it to analyze a focus group transcripts, journal articles, legal documents, books, images, paintings, and many other types of information.
Of course the free options have a lot of limitations but still, you can use them to get done a lot of work. Here is a list of the best free qualitative data analysis tools for MAC, you can consider if you lack the budget.

1. RDQA

RDQA is a R package for Qualitative Data Analysis, and it is a free qualitative analysis software application ( with BSD license). It works on Linux/FreeBSD, Mac OSX and Windows.

You can use it to enter data into a database and codify the data by 4 levels: cases, codes, code categories, and annotations. RDQA is used mainly by small and midsize organizations but it also has large enterprise users.

RDQA is easy to use tool by many statisticians and data experts when performing analysis of textual data. However, for now, it only supports just plain text formatted data.

Kye features and benefits:

  • Import documents from plain text or on-the-fly
  • Import PDF highlights.
  • Support non-English documents.
  • File Editing after coding.
  • Advanced Graphic user interface.
  • Memos of documents, coding, project, codes, files and more.
  • Single-file (*.rqda) format, which is basically a SQLite database.
  • Organize codes into code categories, which is key to theory building.
  • Organize files into file categories.
  • Apply attributes to file, which is useful for content analysis.
  • Rename files, codes, code categories, and cases
  • Calculate the relation between two codings, given the coding indexes
  • Give a summary of coding and inter-code relationships
    And more …
  • Website: http://rqda.r-forge.r-project.org/

2. TAMS Analyzer

When it comes to free qualitative data analysis software for MAC, this is one of the most popular choices. TAMS (stands for Text Analysis Markup System) is an open source tool that allows you to quickly code sections of text.

The software runs on Macintosh and Linux platforms.

Despite TAMS is generally employed to encode discourse and ethnographic documents (such as interviews), you can also use it to analyze almost any plain text.

You can import documents, fields notes or interview transcript and seamlessly code them by clicking on code from your list.

The Macintosh version of the program also includes full support for transcription (back space, insert time code, jump to time code, etc.) when working with data on sound files.

Key features and benefits:

  • PDF coding and analysis support
  • Image (jpg, etc.) coding
  • Layout for video coding
  • Multi-user support using MySQL as a server
  • Multimedia support
  • XML file formats
  • Hot code sets
  • Ability to set comments for both ranges of text and individual tags
    Many others….
  • Website: http://tamsys.sourceforge.net/

3. HyperRESEARCH

HyperRESEARCH is a flexible and powerful tool that assists you in data analysis and theory building. From coding and retrieval to analysis and reporting, the tool got you covered.

HyperRESEARCH is an intuitive software solution that requires near-zero learning curve to help you get started. The program is for MAC and Windows and allows you to move your work seamlessly between Mac and Windows.

They offer premium and free option. You can download the Free Limited Edition. The size and complexity of your study is limited, but otherwise, you can access all the features. You can use the Free Limited Edition as long as you like.

Key features and benefits:

  • Very easy to use – you can start coding right away with simple, intuitive steps.
  • Any piece of data in a source for coding—text, image, audio, video, or PDF (coming soon).
  • Go beyond coding and categorizing—use the Theory Builder to frame and test a hypothesis.
  • See your codes in the margin of your data for easy scanning.
  • Protect privacy by automatically masking sensitive information.
  • Many others….
  • Website: http://www.researchware.com

4. QDA Miner Lite

Intelligence Analysis Software For Mac Download

QDA Miner Lite is also one of the top free qualitative data analysis software for MAC.

Mac

You can use the tool for the analysis of textual data (such as interview and news transcripts), open-ended answers from a market research, as well as for the analysis of still images.

Generally, QDA Miner Lite is a Windows application. However, there are ways to run it on a Mac OS computer.

Key CAQDAS features and benefits:

  • Importation of documents from plain text, RTF, HTML, PDF and also data from Excel, MS Access, CSV, and other text files.
  • Importation from transcription tools and from other qualitative coding software such as Altas.ti, HyperResearch, and many others.
  • Intuitive coding using codes organized in a tree structure.
  • Code frequency analysis with charts and tag clouds.
  • Export tables to XLS, Tab Delimited, CSV formats, and Word format.
  • Export graphs to BMP, PNG, JPEG, WMF formats.
  • Interface and help file in English, French, and Spanish.
  • Website: https://provalisresearch.com/

5. KH Coder

KH Coder is a free software for qualitative data analysis, quantitative content analysis, and text mining for MAC and Windows. The tool provides a variety of statistical analysis functions by using MySQL, ChaSen, and R as back-end tools.
You can analyze Japanese, English, French, German, Italian, Portuguese, Spanish, Chinese (simplified), Korean and Russian language data and text with KH Coder.

KH Coder provides an opportunity for a variety of types of statistical analysis and functions using tools such as Stanford POS Tagger, Snowball stemmer, MySQL and R.

Intelligence Analysis Software Tools

Key features and benefits:

Intelligence Analysis Software For Mac Windows 10

  • Qualitative and quantitative analysis.
  • Text meaning.
  • Utilized for computational linguistics.
  • On word-level: frequency list, searching, KWIC concordance, collocation stats, correspondence analysis…
  • On category-level: developing your own categories, frequency list, cross tabulation, correspondence analysis, multi-dimensional scaling…
  • On documents level – searching, clustering, and naive bayes classifier.
  • Website: http://khc.sourceforge.net/en/
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