machine learning cognitive computing de singh krishna (21 resultados)

Condición: New.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: As New. Unread book in perfect condition.

Condición: New. In.

Condición: As New. Unread book in perfect condition.

Condición: New.

Gebunden. Condición: New. Krishna_Kant_Singh_is_an_Associate_Professor_in_Electronics_ and_Communications_Engineering_in_KIET_Group_of_Institutions ,_Ghaziabad,_India_Dr_Singh_has_acquired_BTech,_MTech,_and_P hD_IIT_Roorkee_in_the_area_of_machine_learning_and_remote_se nsing_He_has_auth.

Hardcover. Condición: New.

Hardback. Condición: New. Communication and network technology has witnessed recent rapid development and numerous information services and applications have been developed globally. These technologies have high impact on society and the way people are leading their lives. The advancement in technology has undoubtedly improved the quality of service and user experience yet a lot needs to be still done. Some areas that still need improvement include seamless wide-area coverage, high-capacity hot-spots, low-power massive-connections, low-latency and high-reliability and so on. Thus, it is highly desirable to develop smart technologies for communication to improve the overall services and management of wireless communication. Machine learning and cognitive computing have converged to give some groundbreaking solutions for smart machines. With these two technologies coming together, the machines can acquire the ability to reason similar to the human brain. The research area of machine learning and cognitive computing cover many fields like psychology, biology, signal processing, physics, information theory, mathematics, and statistics that can be used effectively for topology management. Therefore, the utilization of machine learning techniques like data analytics and cognitive power will lead to better performance of communication and wireless systems.

Hardcover. Condición: new. Hardcover. Communication and network technology has witnessed recent rapid development and numerous information services and applications have been developed globally. These technologies have high impact on society and the way people are leading their lives. The advancement in technology has undoubtedly improved the quality of service and user experience yet a lot needs to be still done. Some areas that still need improvement include seamless wide-area coverage, high-capacity hot-spots, low-power massive-connections, low-latency and high-reliability and so on. Thus, it is highly desirable to develop smart technologies for communication to improve the overall services and management of wireless communication. Machine learning and cognitive computing have converged to give some groundbreaking solutions for smart machines. With these two technologies coming together, the machines can acquire the ability to reason similar to the human brain. The research area of machine learning and cognitive computing cover many fields like psychology, biology, signal processing, physics, information theory, mathematics, and statistics that can be used effectively for topology management. Therefore, the utilization of machine learning techniques like data analytics and cognitive power will lead to better performance of communication and wireless systems. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condición: New.

Buch. Condición: Neu. Neuware - Communication_and_network_technology_has_witnessed_recent_rapid_development_and_numerous_information_services_ and_applications_have_been_developed_globally_These_technolo gies_have_high_impact_on_society_and_the_way_people_are_lead ing_their_lives_The_advancement_in_technology_has_undoubtedl y_improved_the_quality_of_service_and_user_experience_yet_a_ lot_needs_to_be_still_done_Some_areas_that_still_need_improv ement_include_seamless_wide-area_coverage,_high-capacity_hot -spots,_low-power_massive-connections,_low-latency_and_high- reliability_and_so_on_Thus,_it_is_highly_desirable_to_develo p_smart_technologies_for_communication_to_improve_the_overal l_services_and_management_of_wireless_communication_Machine_ learning_and_cognitive_computing_have_converged_to_give_some _groundbreaking_solutions_for_smart_machines_With_these_two_ technologies_coming_together,_the_machines_can_acquire_the_a bility_to_reason_similar_to_the_human_brain_The_research_are a_of_machine_learning_and_cognitive_computing_cover_many_fie lds_like_psychology,_biology,_signal_processing,_physics,_in formation_theory,_mathematics,_and_statistics_that_can_be_us ed_effectively_for_topology_management_Therefore,_the_utiliz ation_of_machine_learning_techniques_like_data_analytics_and _cognitive_power_will_lead_to_better_performance_of_communic ation_and_wireless_systems.

Condición: New. 2020. 1st Edition. hardcover. . . . . .

Condición: New.

Hardback. Condición: New. Communication and network technology has witnessed recent rapid development and numerous information services and applications have been developed globally. These technologies have high impact on society and the way people are leading their lives. The advancement in technology has undoubtedly improved the quality of service and user experience yet a lot needs to be still done. Some areas that still need improvement include seamless wide-area coverage, high-capacity hot-spots, low-power massive-connections, low-latency and high-reliability and so on. Thus, it is highly desirable to develop smart technologies for communication to improve the overall services and management of wireless communication. Machine learning and cognitive computing have converged to give some groundbreaking solutions for smart machines. With these two technologies coming together, the machines can acquire the ability to reason similar to the human brain. The research area of machine learning and cognitive computing cover many fields like psychology, biology, signal processing, physics, information theory, mathematics, and statistics that can be used effectively for topology management. Therefore, the utilization of machine learning techniques like data analytics and cognitive power will lead to better performance of communication and wireless systems.

Condición: New.

Hardcover. Condición: Brand New. 253 pages. 9.25x6.25x0.75 inches. In Stock.

Hardcover. Condición: new. Hardcover. Communication and network technology has witnessed recent rapid development and numerous information services and applications have been developed globally. These technologies have high impact on society and the way people are leading their lives. The advancement in technology has undoubtedly improved the quality of service and user experience yet a lot needs to be still done. Some areas that still need improvement include seamless wide-area coverage, high-capacity hot-spots, low-power massive-connections, low-latency and high-reliability and so on. Thus, it is highly desirable to develop smart technologies for communication to improve the overall services and management of wireless communication. Machine learning and cognitive computing have converged to give some groundbreaking solutions for smart machines. With these two technologies coming together, the machines can acquire the ability to reason similar to the human brain. The research area of machine learning and cognitive computing cover many fields like psychology, biology, signal processing, physics, information theory, mathematics, and statistics that can be used effectively for topology management. Therefore, the utilization of machine learning techniques like data analytics and cognitive power will lead to better performance of communication and wireless systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condición: New. 2020. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.

Hardcover. Condición: new. Hardcover. Communication and network technology has witnessed recent rapid development and numerous information services and applications have been developed globally. These technologies have high impact on society and the way people are leading their lives. The advancement in technology has undoubtedly improved the quality of service and user experience yet a lot needs to be still done. Some areas that still need improvement include seamless wide-area coverage, high-capacity hot-spots, low-power massive-connections, low-latency and high-reliability and so on. Thus, it is highly desirable to develop smart technologies for communication to improve the overall services and management of wireless communication. Machine learning and cognitive computing have converged to give some groundbreaking solutions for smart machines. With these two technologies coming together, the machines can acquire the ability to reason similar to the human brain. The research area of machine learning and cognitive computing cover many fields like psychology, biology, signal processing, physics, information theory, mathematics, and statistics that can be used effectively for topology management. Therefore, the utilization of machine learning techniques like data analytics and cognitive power will lead to better performance of communication and wireless systems. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Condición: Brand New. 253 pages. 9.25x6.25x0.75 inches. In Stock. This item is printed on demand.