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ML & AI- Machine Learning and Artificial Intelligence IOT

The integration of artificial intelligence (AI) into our daily lives and workplaces has transformed the way we interact with technology. As AI continues to evolve, it raises new questions and challenges about collaboration between machines and humans. In this blog, we will explore the new reality of AI and human collaboration, the scope of AI advancements, and why essential human skills still matter. We’ll discuss how to create the ideal balance for maximum impact, the skills needed for the future workforce, the challenges we face, and practical tips for fostering AI-human collaboration. The New Reality of AI and Human Collaboration 
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The need for tech-savvy professionals is increasing at a never-before-seen rate in the ever-changing digital landscape of today. Cloud computing, data science, and artificial intelligence (AI) stand out among the many talents grabbing attention as essential components of the workforce of the future. In addition to changing sectors, these fields are opening up new career avenues with enormous growth potential. Let’s examine the importance of these abilities and how they will likely influence the future. The Rise of Artificial Intelligence (AI) Artificial Intelligence has evolved from a futuristic concept to a present-day reality, revolutionizing industries across the board. AI is 
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In a world where technology evolves rapidly, the education of future engineers requires innovative tools that provide hands-on learning experiences. Enter Duckietown—a groundbreaking platform designed to teach students robotics, artificial intelligence (AI), and autonomous vehicle systems through a fun, engaging, and accessible framework. Duckietown is more than just a cute name with tiny robotic ducks; it’s an educational revolution that’s preparing engineers for the challenges of tomorrow. In this blog, we’ll explore what Duckietown is, how it is reshaping engineering education, and why it’s playing a pivotal role in training the next generation of innovators. What is Duckietown? Duckietown is an 
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In recent years, the rapid advancement of Artificial Intelligence (AI) has brought us large language models (LLMs) that are revolutionizing how we interact with technology. LLMs like OpenAI’s GPT-4, Google’s PaLM, and others are enabling new possibilities in application development, particularly in enhancing user experience, automating tasks, and generating human-like text. This blog explores what LLMs are, their various applications, and when you should consider integrating them into your projects. Understanding Large Language Models (LLMs) Large Language Models (LLMs) are advanced AI models designed to understand and generate human-like text based on massive datasets. These models use machine learning algorithms 
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Artificial Intelligence (AI) has moved from a futuristic concept to an essential business tool in recent years. As we head into 2024, AI continues revolutionizing industries by offering powerful ways to automate, optimize, and innovate. From improving customer experiences to unlocking data insights, the potential of AI to transform businesses has never been more evident. In this blog, we’ll explore the most transformative AI trends shaping the business landscape, and why embracing AI is crucial for future success. Why AI for Business? AI is no longer a luxury for businesses; it’s a necessity. Here’s why: Now that we’ve established the 
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Generative AI, powered by advanced models like GPT and DALL-E, is transforming industries by enabling machines to create text, images, music, and even code. These models have opened new doors for innovation, creativity, and automation, promising to revolutionize sectors from art to business. However, with this promise comes a complex set of ethical challenges that must be carefully navigated. In this blog, we will explore the ethical implications of generative AI, its impact on creativity, and the critical considerations required to ensure responsible and ethical use of this powerful technology. What is Generative AI? Generative AI refers to artificial intelligence 
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In today’s digital age, businesses are increasingly turning to artificial intelligence (AI) to elevate their marketing strategies. From personalized customer interactions to data-driven decision-making, AI is reshaping the way marketers connect with their audience. But what exactly is AI in marketing, how is it applied, and what benefits does it offer? Let’s explore these concepts in detail and look at how AI can be integrated into a successful marketing strategy. What is AI in Marketing? AI in marketing refers to the use of artificial intelligence technologies to improve the efficiency and effectiveness of marketing campaigns. By analyzing large sets of 
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In an era where efficiency and productivity are paramount, tools like ChatGPT are revolutionizing how businesses and individuals manage their workflows. ChatGPT can assist with various tasks, from automating customer support to generating content, making it a valuable asset in any workflow. In this blog, we’ll explore why you should integrate ChatGPT into your workflow, how to do it, and some tips and tricks to make the most out of this powerful tool. Why Integrate ChatGPT? 1. Increased Efficiency ChatGPT can handle repetitive and time-consuming tasks, freeing up valuable time for more strategic work. This automation can lead to faster 
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Chat GPT has taken the world by storm, sparking conversations about its potential and its pitfalls. But have you ever stopped to think about the ethical implications of using this powerful tool? Let’s dive deep into what makes Chat GPT a double-edged sword. Understanding Chat GPT: A Quick Overview Chat GPT is a type of artificial intelligence designed to converse with people. It can draft emails, answer questions, and even tell stories. Think of it as a supercharged chatbot that learns from countless pieces of text. While it can make our lives easier, it also raises some serious ethical questions 
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In the realm of customer service and business operations, chatbots have become indispensable tools. However, not all chatbots are created equal. Traditional chatbots and advanced models like OpenAI’s Chat GPT offer different capabilities and benefits. This blog provides a detailed comparative analysis of Chat GPT and traditional chatbots, highlighting their differences, strengths, and ideal use cases in 2024. Understanding Traditional ChatbotsTraditional chatbots are rule-based systems designed to handle specific tasks and provide predefined responses to user queries. These chatbots operate on a set of scripted interactions and are typically used for straightforward tasks like answering FAQs, booking appointments, or providing 
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In the rapidly evolving landscape of business operations, staying ahead of the curve requires the integration of cutting-edge technology. One such technology making significant waves is OpenAI’s Chat GPT. This advanced language model has the potential to transform how businesses operate, enhancing efficiency and engagement across various sectors. In this blog, we’ll explore the myriad ways Chat GPT can revolutionize business operations. What is Chat GPT? Chat GPT (Generative Pre-trained Transformer) is a state-of-the-art language model developed by OpenAI. It uses machine learning to understand and generate human-like text based on the input it receives. By training on vast amounts 
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Introduction In today’s digital era, cyber security and ethical hacking are paramount to safeguarding sensitive information and maintaining the integrity of digital systems. The continuous evolution of cyber threats necessitates advanced and adaptive security measures. Machine learning (ML) has emerged as a powerful tool in this domain, enhancing the capabilities of both cyber security and ethical hacking. This blog delves into the role of machine learning in these fields, its importance, and the ethical implications of its use. Understanding Cyber Security and Ethical Hacking Cyber Security Cyber security encompasses the practices and technologies designed to protect systems, networks, and data 
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Open AI API, Chat GPT With Python In this comprehensive course, you will learn how to harness the power of Open AI to build intelligent applications and solutions using Python. The Open AI API is one of the most advanced artificial intelligence platforms available, providing a range of capabilities for natural language processing, computer vision, and more. With this API, you can create AI applications that can understand and respond to human language, generate text, perform sentiment analysis, and much more. What you’ll learn Understand the basics of the OpenAI API Set-up an OpenAI Account for API use Learn to 
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ChatGPT A.I. site With Django Python In this course  you will leran  how  to make web apps for Django and Python, and how to connect those apps to the OpenAI (makers of ChatGPT) Text Completion Artificial Intelligence API and have it fix code that you submit as well as write code that you ask it to write. We’ll use Python, Django, and the Bootstrap Framework to build a cool Coding website that connects to OpenAI. What you’ll learn Intro To the OpenAI Text Completion API Intro To Django Intro Use of Python How To Connect to The OpenAI API With Django Course 
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Open AI, GPT and Chat GPT Ever since Open AI arrived on the scene, access to a trained AI has become accessible to everyone. GPT allows you to ask a chatbot to complete tasks, and to answer questions Fine-tuning allows you to change the way the AI responds Embedding allows you to use your own knowledge base Dall-E allows you to generate images from text In this course, you will learn very practical skills for using GPT. The skills can be used in the OpenAI playground or in programming code. What you’ll learn No-Code examples using OpenAI playground Techniques to 
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Open AI, GPT and Chat GPT Ever since Open AI arrived on the scene, access to a trained AI has become accessible to everyone. GPT allows you to ask a chatbot to complete tasks, and to answer questions Fine-tuning allows you to change the way the AI responds Embedding allows you to use your own knowledge base Dall-E allows you to generate images from text In this course, you will learn very practical skills for using GPT. The skills can be used in the OpenAI playground or in programming code. What you’ll learn No-Code examples using OpenAI playground Techniques to 
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GPT With NextJS and OpenAI API In this comprehensive online course, you’ll learn how to harness the power of these cutting-edge technologies to build a fast, responsive, and dynamic web application that generates high-quality blog posts using AI. With step-by-step guidance, you’ll gain hands-on experience working with each of these technologies to bring your vision to life. By the end of this course, you’ll have the skills and knowledge you need to build your own AI-powered app and unleash the full potential of AI in your web development projects. So what are you waiting for? Join now and start your 
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ChatGPT A.I. site With Django Python In this course  you will leran  how  to make web apps for Django and Python, and how to connect those apps to the OpenAI (makers of ChatGPT) Text Completion Artificial Intelligence API and have it fix code that you submit as well as write code that you ask it to write. We’ll use Python, Django, and the Bootstrap Framework to build a cool Coding website that connects to OpenAI. What you’ll learn Intro To the OpenAI Text Completion API Intro To Django Intro Use of Python How To Connect to The OpenAI API With Django Course 
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  ChatGPT OpenAI Course Basic to Advance  ChatGPT for Beginners: A Complete Guide to Mastery is the perfect guide for anyone looking to become a master of chatbot technology. This comprehensive guide covers everything from the basics of chatbot development to advanced techniques for creating powerful and engaging chatbot experiences. With step-by-step instructions and plenty of examples, you’ll be able to quickly and easily create your own chatbot and start engaging with your customers in no time. Whether you’re a beginner or an experienced chatbot developer, this course will give you the tools you need to become a chatbot master. 
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Open AI API, Chat GPT With Python In this comprehensive course, you will learn how to harness the power of Open AI to build intelligent applications and solutions using Python. The Open AI API is one of the most advanced artificial intelligence platforms available, providing a range of capabilities for natural language processing, computer vision, and more. With this API, you can create AI applications that can understand and respond to human language, generate text, perform sentiment analysis, and much more. What you’ll learn Understand the basics of the OpenAI API Set-up an OpenAI Account for API use Learn to 
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Chat GPT Introduction With Python In this course, you will learn how to use ChatGPT to simplify and streamline your programming workflow. With ChatGPT’s cutting-edge language processing capabilities, you will be able to build, fix, and add features to your programs with ease. If you know a programming language well, or if you have just started and are struggling to program, ChatGPT is there for you to make your life easier. This course is designed for all beginners, intermediate and advanced programmers who already have some programming experience and want to take their skills to the next level. If you 
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GPT With NextJS and OpenAI API In this comprehensive online course, you’ll learn how to harness the power of these cutting-edge technologies to build a fast, responsive, and dynamic web application that generates high-quality blog posts using AI. With step-by-step guidance, you’ll gain hands-on experience working with each of these technologies to bring your vision to life. By the end of this course, you’ll have the skills and knowledge you need to build your own AI-powered app and unleash the full potential of AI in your web development projects. So what are you waiting for? Join now and start your 
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Beginners Course to AI (Artificial Intelligence) Artificial Intelligence (AI), also known as Machine Intelligence, is the ability of a system to “think” and learn like humans. AI starts as a computer program, written by humans. These computer programs allow machines to ‘think’ like humans and mimic their thought processes and actions. AI makes it possible for machines like computers to perform these human-like tasks by learning from experience. Using AI, a machine takes data and information, known as the input, and performs calculations that produce a result, or output. AI continually adjusts the calculations to gain the best results or 
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Introduction to Artificial Intelligence ( AI ) for Managers  Do you want to learn Artificial Intelligence technology quickly? Are you a manager, director, or VP who needs to understand how AI works at a technical level? This fast-paced course explains the core concepts of Artificial Intelligence through engaging animations. In less than 2 hours you will be able to: – Identify opportunities for using AI in your business – Evaluate technical solutions – Manage AI development projects – Estimate resource requirements for your AI project – Reuse pre-trained libraries to save cost … and lead your AI project to success. Prerequisites You must 
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Specialist Diploma in Big Data Analytics with Machine Learning “Start your #BIG_Career in Big Data Sciences” This Big Data Specialist Diploma program provides you with a practical understanding of big data analytics and emerging technologies like Machine Learning, Natural Language Processing, IoT and Data Visualization. You will gain the essential skills and confidence required to apply knowledge and understanding of issues surrounding big data analytics in a range of contexts. There is the opportunity to develop a critical understanding of visualization concepts and emerging technologies, as well as to develop and evaluate new or advanced bespoke solutions for making sense 
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Microsoft Power BI Training Course Omni Academy offer a comprehensive Microsoft Power BI training course specially designed to focus on individuals and corporate sector business analyst /decision makers will to do pro-active data analytics to improve business productivity. Microsoft Power BI transforms your company’s data into rich visuals for you to collect and organize so you can focus on what matters to you. Stay in the know, spot trends as they happen, and push your business further. Step-by-step learning course to get complete understanding of Power BI tool and performing data to day reports and BI dashboards creation by business 
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About Python Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python’s design philosophy emphasizes code readability with its notable use of significant whitespace. Data Sciences Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, deep learning and big data. R R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely 
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About Python Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python’s design philosophy emphasizes code readability with its notable use of significant whitespace. Data Sciences Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, deep learning and big data. R R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely 
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About Python Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python’s design philosophy emphasizes code readability with its notable use of significant whitespace. Data Sciences Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, deep learning and big data. R R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely 
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About Python Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python’s design philosophy emphasizes code readability with its notable use of significant whitespace. Data Sciences Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, deep learning and big data. R R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely 
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About Python Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python’s design philosophy emphasizes code readability with its notable use of significant whitespace. Data Sciences Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, deep learning and big data. R R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely 
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About Python Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python’s design philosophy emphasizes code readability with its notable use of significant whitespace. Data Sciences Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, deep learning and big data. R R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely 
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About Python Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python’s design philosophy emphasizes code readability with its notable use of significant whitespace. Data Sciences Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, deep learning and big data. R R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely 
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About Python Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python’s design philosophy emphasizes code readability with its notable use of significant whitespace. Data Sciences Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, deep learning and big data. R R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely 
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About Python Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python’s design philosophy emphasizes code readability with its notable use of significant whitespace. Data Sciences Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, deep learning and big data. R R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely 
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About Python Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python’s design philosophy emphasizes code readability with its notable use of significant whitespace. Data Sciences Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, deep learning and big data. R R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely 
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About Python Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python’s design philosophy emphasizes code readability with its notable use of significant whitespace. Data Sciences Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, deep learning and big data. R R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely 
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About Python Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python’s design philosophy emphasizes code readability with its notable use of significant whitespace. Data Sciences Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, deep learning and big data. R R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely 
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About Python Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python’s design philosophy emphasizes code readability with its notable use of significant whitespace. Data Sciences Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, deep learning and big data. R R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely 
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About Python Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python’s design philosophy emphasizes code readability with its notable use of significant whitespace. Data Sciences Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, deep learning and big data. R R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely 
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About Python Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python’s design philosophy emphasizes code readability with its notable use of significant whitespace. Data Sciences Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, deep learning and big data. R R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely 
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About Python Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python’s design philosophy emphasizes code readability with its notable use of significant whitespace. Data Sciences Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, deep learning and big data. R R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely 
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About Python Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python’s design philosophy emphasizes code readability with its notable use of significant whitespace. Data Sciences Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, deep learning and big data. R R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely 
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About Python Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python’s design philosophy emphasizes code readability with its notable use of significant whitespace. Data Sciences Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, deep learning and big data. R R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely 
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About Python Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python’s design philosophy emphasizes code readability with its notable use of significant whitespace. Data Sciences Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, deep learning and big data. R R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely 
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About Python Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python’s design philosophy emphasizes code readability with its notable use of significant whitespace. Data Sciences Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, deep learning and big data. R R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely 
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About Python Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python’s design philosophy emphasizes code readability with its notable use of significant whitespace. Data Sciences Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, deep learning and big data. R R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely 
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About Python Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python’s design philosophy emphasizes code readability with its notable use of significant whitespace. Data Sciences Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, deep learning and big data. R R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely 
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About Python Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python’s design philosophy emphasizes code readability with its notable use of significant whitespace. Data Sciences Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, deep learning and big data. R R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely 
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About Python Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python’s design philosophy emphasizes code readability with its notable use of significant whitespace. Data Sciences Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, deep learning and big data. R R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely 
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