Data scientist

Python is a programming language that is interpreted, object-oriented, and considered to be high-level too. What is Python? Python is one of the easiest yet most useful programming languages which is widely used in the software industry. People use Python for Competitive Programming, Web Development, and creating software. Due to its easiest syntax, it is recommended for beginners who are new to the software engineering field. Its demand is growing at a very rapid pace due to its vast use cases in Modern Technological fields like Data Science, Machine learning, and Automation Tasks. For many years now, it has been ranked among the top Programming languages. Table of Content What is Python? History of Python Python Syntax Features of Python Advantages and Disadvantages of Python Today Python is used in all kinds of development from game development, basic programming, and scripting to large and complex software development. It has a large community support and is rich in the library, ha...

  What is Deep Learning?   Deep learning is the branch of  machine learning  which is based on artificial neural network architecture. An artificial neural network or ANN uses layers of interconnected nodes called neurons that work together to process and learn from the input data. In a fully connected Deep neural network, there is an input layer and one or more hidden layers connected one after the other. Each neuron receives input from the previous layer neurons or the input layer. The output of one neuron becomes the input to other neurons in the next layer of the network, and this process continues until the final layer produces the output of the network. The layers of the neural network transform the input data through a series of nonlinear transformations, allowing the network to learn complex representations of the input data. Today Deep learning has become one of the most popular and visible areas of machine learning, due to its success in a variety of applic...

Generative AI (Gen AI) is poised to reshape industries by revolutionizing operating models, transforming value chains, and altering economic dynamics. Indian enterprises are optimistic about Gen AI’s potential but acknowledge the need for better preparation, navigating a digital transformation journey to survive in the era of ‘Digital Darwinism’. 'The AIdea of India: Generative AI's potential to accelerate India's digital transformation'  addresses key questions facing enterprises and policy makers. It analyzes key trends in the AI/Gen AI ecosystem, proposes an enterprise transformation agenda, explores the economic opportunities in India, and highlights potential use cases across various industries. Recognizing the importance of policy, it outlines a strategic framework for responsible development and deployment of Gen AI in India. The Economic potential of gen ai Global institutions like the World Bank and the IMF recognize India’s economy as the fastest-growing among...

Why AI Can Make Everything We Care About Better The most validated core conclusion of social science across many decades and thousands of studies is that  human  intelligence makes a very broad range of life outcomes better. Smarter people have better outcomes in almost every domain of activity: academic achievement, job performance, occupational status, income, creativity, physical health, longevity, learning new skills, managing complex tasks, leadership, entrepreneurial success, conflict resolution, reading comprehension, financial decision making, understanding others’ perspectives, creative arts, parenting outcomes, and life satisfaction. Further, human intelligence is the lever that we have used for millennia to create the world we live in today: science, technology, math, physics, chemistry, medicine, energy, construction, transportation, communication, art, music, culture, philosophy, ethics, morality. Without the application of intelligence on all these domains, we wo...

  We are about to see the greatest redistribution of power in history. Over millennia, humanity has been shaped by successive waves of technology. The discovery of fire, the invention of the wheel, the harnessing of electricity—all were transformational moments for civilization. All were waves of technology that started small, with a few precarious experiments, but eventually they broke across the world. These waves followed a similar trajectory: breakthrough technologies were invented, delivered huge value, and so they proliferated, became more effective, cheaper, more widespread and were absorbed into the normal, ever-evolving fabric of human life We are now facing a new wave of technology, centered around  AI   but including synthetic biology,   quantum computing , and abundant new sources of energy. In many respects it will repeat this pattern. Yet it will also depart from it in crucial ways only now becoming clear. Amidst all the hype, the hope, the fear, I thin...

  You would have been living under a rock if you did not know how artificial intelligence is set to affect jobs in 2024-2030. AI like ChatGPT seems to be stealing all of the headlines at the moment, Google unveiled new AI software to build presentations, analyze and enter data, and write content, and there are so many more AI tools like Gamma and Numerous AI. Those that are resisting, rather than riding the crest of the wave will not be making hey whilst the sun shines when it comes to landing in-demand jobs in the next 6 years and enjoying job growth. AI will be taking some jobs, but it will be creating new ones!  How will AI affect jobs and the economy? McKinsey global institute says that at the global average level of adoption and absorption and advances in ai implied by their simulation, AI has the profound impact to deliver additional global economic activity of around $13 trillion in the foreseeable future and by 2030, or about 16% higher cumulative GDP compared with tod...