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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.
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rupali
Thursday, Dec 16, 2021
AGRI-FOOD SYSTEMS
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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
WATER, ENERGY, AND THE ENVIRONMENT
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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.
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rupali
Tuesday, Sep 28, 2021
EDUCATION
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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
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rupali
Tuesday, Aug 24, 2021
EDUCATION
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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
EDUCATION
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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
EDUCATION
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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
EDUCATION
AGRI-FOOD SYSTEMS
+3
Wednesday, Aug 18, 2021
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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
AGRI-FOOD SYSTEMS
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Transuranium element
Transuranium element, any of the chemical elements that lie beyond uranium in the periodic table—i.e., those with atomic numbers greater than 92. Twenty-six of these elements have been discovered and named or are awaiting confirmation of their discovery. Eleven of them, from neptunium through lawrencium, belong to the actinoid series. The others, which have atomic numbers higher than 103, are referred to as the transactinoids. All the transuranium elements are unstable, decaying radioactively, with half-lives that range from tens of millions of years to mere fractions of a second.
Since only two of the transuranium elements have been found in nature (neptunium and plutonium) and those only in trace amounts, the synthesis of these elements through nuclear reactions has been an important source of knowledge about them.
By:
rupali
Tuesday, Aug 10, 2021
AGRI-FOOD SYSTEMS
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Neutron capture
It is believed that these heavier elements, and some isotopes of lighter elements, have been produced by successive capture of neutrons. Two processes of neutron capture may be distinguished: the r -process, rapid neutron capture; and the s -process, slow neutron capture. If neutrons are added to a stable nucleus, it is not long before the product nucleus becomes unstable and the neutron is converted into a proton. Outside a nucleus, a neutron decays into a proton and an electron by a process called beta decay (β-decay). Inside a nucleus it can be stable if the nucleus does not contain too many neutrons. In slow neutron capture, neutrons are added at a rate such that whenever an unstable nucleus is formed, it beta-decays before another neutron can be added. If neutrons can be added more rapidly, as in the r -process, the unstable nuclei formed cannot decay before additional neutrons are added until a nucleus is eventually produced that will not accept a further neutron. This nucleus, however, will eventually be subject to beta decay, thus permitting further neutron capture.
By:
rupali
Tuesday, Aug 10, 2021
AGRI-FOOD SYSTEMS
+3
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