You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Because of the advancements that have been made in machine learning, the world is being changed in ways that are difficult to conceive. If you stop for a second and take a good look around, you'll see that the area of data science is everywhere you turn. Take, for example, Alexa from Amazon; she is an artificial intelligence that has been developed to be as simple and straightforward to use as is humanly conceivable. There are many other digital assistants similar to Alexa, such as Google Assistant, Cortana, and so on. Alexa is not the only one of its sort. Therefore, the question of why they were formed in the first place is the most crucial one to ask; the question of how they developed is...
The newspaper business was one of the pioneers in the usage of digital photographs and was one of the first businesses to do so. It was also one of the first businesses to make use of images, which were first transported by photographs, which were initially delivered by an underwater cable between London and New York. This connection was made between London and New York. These pictures were sent between the two locations on several occasions, making their way between both of them in a back and forth manner. When the Bartlane cable image transmission system was first put into operation in the early 1920s, the amount of time necessary to transfer a picture across the Atlantic was reduced from ...
Deep learning has developed as a useful approach for data mining tasks such as unsupervised feature learning and representation. This is thanks to its ability to learn from examples with no prior guidance. Unsupervised learning is the process of discovering patterns and structures in unlabeled data without the use of any explicit labels or annotations. This type of learning does not require the data to be annotated or labelled. This is especially helpful in situations in which labelled data are few or nonexistent. Unsupervised feature learning and representation have seen widespread application of deep learning methods such as auto encoders and generative adversarial networks (GANs). These a...
The Indian Listener (fortnightly programme journal of AIR in English) published by The Indian State Broadcasting Service,Bombay ,started on 22 December, 1935 and was the successor to the Indian Radio Times in english, which was published beginning in July 16 of 1927. From 22 August ,1937 onwards, it was published by All India Radio,New Delhi.From July 3 ,1949,it was turned into a weekly journal. Later,The Indian listener became "Akashvani" in January 5, 1958. It was made a fortnightly again on July 1,1983. It used to serve the listener as a bradshaw of broadcasting ,and give listener the useful information in an interesting manner about programmes,who writes them,take part in them and produc...
"Akashvani" (English) is a programme journal of ALL INDIA RADIO, it was formerly known as The Indian Listener. It used to serve the listener as a bradshaw of broadcasting ,and give listener the useful information in an interesting manner about programmes, who writes them, take part in them and produce them along with photographs of performing artists. It also contains the information of major changes in the policy and service of the organisation. The Indian Listener (fortnightly programme journal of AIR in English) published by The Indian State Broadcasting Service, Bombay, started on 22 December, 1935 and was the successor to the Indian Radio Times in English, which was published beginning ...
"Akashvani" (English) is a programme journal of ALL INDIA RADIO, it was formerly known as The Indian Listener. It used to serve the listener as a bradshaw of broadcasting ,and give listener the useful information in an interesting manner about programmes, who writes them, take part in them and produce them along with photographs of performing artists. It also contains the information of major changes in the policy and service of the organisation. The Indian Listener (fortnightly programme journal of AIR in English) published by The Indian State Broadcasting Service, Bombay, started on 22 December, 1935 and was the successor to the Indian Radio Times in English, which was published beginning ...
The book is divided into several sections covering Warren Buffett's personal business management: . Managing one's life - focuses on Buffett's insistence on a good education, picking one's heroes early in life, and staying away from things that damage you personally. The authors also discuss Buffett's belief that challenges make life interesting. . Managing One's Career - Buffett believes that you should work at something that you are passionate about. Do what you like and you will find a way to make money. Do what you hate and you will be miserable even if you are rich. . Managing Employees - place honesty on the same level as intelligence as a managerial attribute. How to keep managers inspired and working hard. . Managing the Business - Buffett has learned that companies that have a durable competitive advantage over their competitors consistently earn more money year after year and are the easiest to manage. . Managing of Personal Money - discover the simple rules that Buffett uses for buying other businesses and how he has incorporated them into his own personal investment style.
This volume includes 74 papers presented at ICTIS 2017: Second International Conference on Information and Communication Technology for Intelligent Systems. The conference was held on 25th and 26th March 2017, in Ahmedabad, India and organized jointly by the Associated Chambers of Commerce and Industry of India (ASSOCHAM) Gujarat Chapter, the G R Foundation, the Association of Computer Machinery, Ahmedabad Chapter and supported by the Computer Society of India Division IV – Communication and Division V – Education and Research. The papers featured mainly focus on information and communications technology (ICT) for computation, algorithms and data analytics. The fundamentals of various data analytics and algorithms discussed are useful to researchers in the field.
Comparative study of the development of various facets of education in the states and union territories of India on the basis of total population and enrolment at various stages.