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Mulayam Singh SPANNING TREE PROTOCOL

Most important topic in switching

Computers
English
4418 Words
No Age Recommendation
301
0

Spanning tree protocol is a link management protocol which provides path redundancy while preventing undesirable loops in the network because loops are deadly to network. In STP environment, switches exchanges bridge protocol data unit between each other. By exchanging BPDU (bridge protocol data unit) switch itself select a root bridge based on low priority or low mac address of switch. By default, all switches have same priority value which is 32768. So, in this case MAC address of switches is tie breaker. Lower mac address wins her and select as root bridge. This was the basic understanding of spanning tree protocol. We are going to cover each topic related to spanning tree in detail with practical. Please read this book carefully. It is not going to so long, will be short book which would be interesting, this will help network engineer to cover their all concepts of spanning tree protocol. [more]

Keywords: spanning tree, spanning tree protocol, STP, PVST, PVST+, pvst, pvst+, MST, MIST, MSTP, RSTP, Rapid-Spanning Tree Protocol, CST, Common Spanning Tree Protocol, Loop Guard, Root Guard, BPDU, BPDU Guard, UDLD, Guard root, Guard Loop, BPDU Filter, path calculation in STP, cost, unidirectional link detection, portfast, backbonefast, uplinkfast, port fast, Backbone Fast, Uplink Fast, Types of spanning tree protocol, STP types, err-disable, learning state, forwarding state, blocking state, listening state, root port, designated port, Root Bridge, Non-root Bridge, TTL, Routing, Switching, CCNA, CCNP, CCIE, cisco, cisco packet tracer, cisco packet tracer labs, Cisco switches, Cisco Routers, 10 Mbps, 1000Mbps, 100 Mbps, 802.1D, 802.1Q, 802.1W, %SPANTREE-2-LOOPGUARD, %SPANTREE-2-LOOPGUARD_UNBLOCK, %SPANTREE-2-LOOPGUARD_BLOCK, %SPANTREE-2-BLOCK_BPDUGUARD, %SPANTREE-2-ROOTGUARD_BLOCK, inconsistency, inconsistent port [more][Less]

$2.49

Rebekah Brewer Never Learning

Fiction
English
429 Words
No Age Recommendation
426
0

Random moment of sitting and daydreaming. You know life sucks when you have to deal with divorce.... Well, [more]

Keywords: random angst family hate

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Ummed Singh Learning Power

Knowledge Investiment

Literary Collections
English
5157 Words
No Age Recommendation
81
0

When we study, our biggest problem is that we remember our subjects well, because if we remember all our subjects well, then surely we can solve all the questions in our exam, so that our If the exam result is good, then we can pass with good marks so that we can continue our further studies and then make a good career.So when our ability to remember is good, then surely we can always remember the things of our study remembered in the future, so that we will always get the benefit of our study, so let's remember something similar to Yad Karne ke Study Tips. Know by which we can sharpen our memory power, how to learn. [more]

Keywords: learning power, learn, brain, power of learning, Learn Quickly, Learn easily, learn in smart way, Types of brain, motivation, Motivation, Meditation, meditation, Skill Development, skill development, skill, Skill subject, Skill, what is power, Power, Education power, Education Power, knowledge and power, Power of Knowledge, Thinking, thinking, reading book [more][Less]

$2.49

Mulayam Singh MACHINE LEARNING

Artificial Intelligence learning overview

Education
English
8686 Words
No Age Recommendation
311
0

The Evolution of Data Science and the Information Age.Data science is a large vast time period that encompasses a variety of disciplines and standards which includes big data, Artificial Intelligence (AI), data mining and machine learning. The self-discipline of analyzing giant volumes of data recognized as ‘data science’, is relatively new and has grown hand-in-hand with the improvement and widespread adoption of computers. Prior to computers, records used to be calculated and processed by hand underneath the umbrella of ‘statistics’ or what we would possibly now refer to as ‘classical statistics’. Baseball batting averages, for example, existed properly earlier than the creation of computers. Anyone with a pencil, notepad and primary arithmetic abilities could calculate Babe Ruth’s batting common over a season with the useful resource of classical statistics. The method of calculating a batting common concerned the dedication of time to accumulate and assessment batting sheets, and the software of addition and division. The key factor to make about classical data is that you don’t strictly need a laptop to work the statistics and draw new insight. As you’re working with small facts units it is feasible to even for pre-university college students to conduct statistics. Indeed data is nevertheless taught in colleges today, and as they have been for centuries. In this book you will learn all about machine learning and data mining. Hope you will love this book. [more]

Keywords: Artificial Intelligence., Machine Learning, Deep Learning, Neural Networks, Data Mining, Data Labeling, Reinforcement Learning, Bayesian Probability, Support Vector Machines, Data accumulation, Interpretation, machine learning course, Computer vision, Supervised learning, Neural network, Reinforcement learning, Machine, Data science, Robotics, Artificially, Intelligent, Cloud storage, Cloud Computing, cloud computing, Binary [more][Less]