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  • Data science
    Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains. Data science is related to data mining, machine learning and big data.
    By: rupali
    Friday, Sep 17, 2021
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  • Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains. Data science is related to data mining, machine learning and big data.
    By: rupali
    Monday, Sep 20, 2021
    +4
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  • Data science
    Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains. Data science is related to data mining, machine learning and big data.
    By: rupali
    Thursday, Dec 16, 2021
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  • Linear regression
    Linear regression is the most popular machine learning algorithm based on supervised learning. This algorithm work on regression, which is a method of modeling target values based on independent variables. It represents the form of the linear equation, which has a relationship between the set of inputs and predictive output. This algorithm is mostly used in forecasting and predictions. Since it shows the linear relationship between input and output variable, hence it is called linear regression.
    By: rupali
    Monday, Sep 20, 2021
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  • Agriculture
    In natural selection, those variations in the genotype (the entire complex of genes inherited from both parents) that increase an organism’s chances of survival and procreation are preserved and multiplied from generation to generation at the expense of less advantageous variations. Evolution often occurs as a consequence of this process.
    By: rupali
    Tuesday, Sep 28, 2021

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  • African Fertilizer and Agribusiness Partnership (AFAP) is a platform for knowledge and experience exchange on the importance of Agricultural Technological Innovation for food security and as a catalyst to boost productivity and economic growth on the African continent. Focuses on entrepreneurship, innovation, and education. It is designed specifically for AGRISME Entrepreneurs and aspiring entrepreneurs. Ref: http://events.r20.constantcontact.com/register/event?oeidk=a07eifrlae2a9592f0f&llr=m5euwduab
    By: rupali
    Tuesday, Aug 24, 2021

  • AI is used in almost all industries, giving a technological edge to all companies integrating AI at scale. According to McKinsey, AI has the potential to create 600 billions of dollars of value in retail, bring 50 percent more incremental value in banking compared with other analytics techniques. In transport and logistic, the potential revenue jump is 89 percent more
    By: richa tripathi
    Friday, Aug 20, 2021

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  • Artificial intelligence and Machine learning
    Artificial intelligence is used to reduce or avoid repetitive tasks. For instance, AI can repeat a task continuously, without fatigue. In fact, AI never rests, and it is indifferent to the task to carry out Artificial intelligence improves an existing product. Before the age of machine learning, core products were building upon hard-code rules. Firms introduced artificial intelligence to enhance the functionality of the product rather than starting from scratch to design new products. You can think of a Facebook image. A few years ago, you had to tag your friends manually. Nowadays, with the help of AI, Facebook gives you a friend's recommendation. Machine learning is a distinct subset of AI that trains a machine how to learn. Machine learning models look for patterns in data and try to conclude. In a nutshell, the machine does not need to be explicitly programmed by people. The programmers give some examples, and the computer is going to learn what to do from those samples.
    By: richa tripathi
    Friday, Aug 20, 2021

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  • Artificial Intelligence
    AI (Artificial Intelligence) is the ability of a machine to perform cognitive functions as humans do, such as perceiving, learning, reasoning, and solving problems. The benchmark for AI is the human level concerning in teams of reasoning, speech, and vision.   Introduction to AI Levels Narrow AI: A artificial intelligence is said to be narrow when the machine can perform a specific task better than a human. The current research of AI is here now General AI: An artificial intelligence reaches the general state when it can perform any intellectual task with the same accuracy level as a human would Strong AI: An AI is strong when it can beat humans in many tasks
    By: richa tripathi
    Friday, Aug 20, 2021

  • Data communications
    Data communications refer to the transmission of this digital data between two or more computers and a computer network or data network is a telecommunications network that allows computers to exchange data. The physical connection between networked computing devices is established using either cable media or wireless media. The best-known computer network is the Internet.
    By: tajsvini rajesh kamthe
    Wednesday, Aug 18, 2021
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