Data scientist

  AI AND CREATIVITY .. AI and creativity are fascinating topics that intersect in many ways. Traditionally, creativity was thought to be a uniquely human trait, involving the ability to generate novel ideas, solutions, or artifacts that have value. However, advances in artificial intelligence have challenged this notion by demonstrating that machines can also exhibit creative behavior. AI systems can engage in various creative tasks, including: Artistic Creation: AI algorithms can generate visual art, music, literature, and even poetry. For example, deep learning algorithms can analyze vast amounts of existing artwork and then generate new pieces in similar styles. Some AI-generated artworks have even been sold at auctions for substantial sums of money. Innovation and Design: AI can aid in the design process by generating novel designs or optimizing existing ones. This can be seen in fields like architecture, where AI algorithms can create designs that are both aesthetically plea...

Machine learning definition  Machine learning is a subfield of  artificial intelligence (AI)  that uses algorithms trained on data sets to create self-learning models that are capable of predicting outcomes and classifying information without human intervention. Machine learning is used today for a wide range of commercial purposes, including suggesting products to consumers based on their past purchases, predicting stock market fluctuations, and translating text from one language to another.  In common usage, the terms “machine learning” and “artificial intelligence” are often used interchangeably with one another due to the prevalence of machine learning for AI purposes in the world today. But, the two terms are meaningfully distinct. While  AI  refers to the general attempt to create machines capable of human-like cognitive abilities, machine learning specifically refers to the use of algorithms and data sets to do so. Examples and use cases Machine lear...

  THE ROLE OF DATA SCINCE EVERYDAY LIFE In today’s world of technology, data science has a big impact on everyday life. From suggesting movies and shows on streaming platforms to assisting doctors in predicting health issues, we can experience the role of data science in numerous ways. Data scientists will find solutions to a problem by using the available data. Also, data science impacts businesses, transportation, and education. Compiled by - Aayush Dumka Data Scientist

  Role of data scientist In today’s emerging data-driven businesses, data scientist plays business-critical roles. Typically, a data scientist’s role comprises handling humongous amounts of data and then analyzing it using data-driven methodologies. Once they can make sense of the data, they bridge the business gaps by communicating it to the information technology leadership teams and understanding the patterns and trends through visualizations. Data scientists also  leverage Machine Learning and AI , use their programming knowledge around Java, Python, SQL, Big data Hadoop, and data mining. They require to have great communication skills to translate to the business their data discovery insights effectively. Why data science is important Why data science? It is simple. Making sense of data will reduce the horrors of uncertainty for organizations. Data science is a rapidly growing function, but industry experts say it is still in its infancy. In 2003, iTunes took 100 months t...

  What is the importance of AI in our daily lives? Many of us benefit from AI in our daily lives without even realising it. With a streaming service like Netflix or Amazon Prime, the recommendations you receive for shows you might enjoy are produced by an AI system which uses data on your viewing habits to decide on what series you might like to see next. A voice recognition service in digital assistants, such as in the case of Amazon’s Alexa, will receive data from its user in the form of spoken language and will translate that data into a text file using an algorithm in order to decide what the user needs it to do. AI in social media helps curate the content in your feeds to be more relevant to you while Google utilising artificial intelligence can sort through millions of search results to find the one that you’re looking for. On a more complex scale, self-driving cars use a complex network of AI systems to make real-time decisions as they drive to keep the ‘driver’ and passenge...

Learn what artificial intelligence actually is, how it’s used today, and what it may do in the future. What Is Artificial Intelligence Artificial intelligence (AI)  is the theory and development of computer systems capable of performing tasks that historically required human intelligence, such as recognizing speech, making decisions, and identifying patterns. AI is an umbrella term that encompasses a wide variety of technologies, including  machine learning ,  deep learning , and  natural language processing (NLP) .  Although the term is commonly used to describe a range of different technologies in use today, many disagree on whether these actually constitute artificial intelligence. Instead, some argue that much of the technology used in the real world today actually constitutes highly advanced machine learning that is simply a first step towards true artificial intelligence, or “general artificial intelligence” (GAI). Yet, despite the many philosophical disag...

How does Ai affect our daily life In recent years, artificial intelligence (AI) has woven itself into our daily lives in ways we may not even be aware of. It has become so pervasive that many remain unaware of both its impact and our reliance upon it. From morning to night, going about our everyday routines, AI technology drives much of what we do.   When we wake, many of us reach for our mobile phone or laptop to start our day. Doing so has become automatic, and integral to how we function in terms of our decision-making, planning and information-seeking. Artificial Intelligence makes our lives more efficient every day AI powers many programs and services that help us do everyday things such as connecting with friends, using an email program, or using a ride-share service. Compiled by - Aayush Dumka Data Scientist