Best Artificial Intelligence Training Institute In Noida-delhi

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Best Artificial Intelligence Training Institute in Noida-delhi

Inovi Technologies is the Best Artificial Intelligence course provides training in the skills required for a career in AI. You will master TensorFlow, Machine Learning, and other AI concepts, plus the programming languages needed to design intelligent agents, deep learning algorithms & advanced artificial neural networks that use predictive analytics to solve real-time decision-making problems.Artificial Intelligence Technical expert and a passionate trainer has expertise in the field of AI and Machine Learning, Deep Learning and Project Management, he has a proven work record of delivering Technical Training in various technologies and domains at the premier organizations.AI (artificial intelligence) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction. Particular applications of AI include expert systems, speech recognition and machine vision.His categories are as follows: Artificial Intelligence (AI) is the big thing in the technology field and a large number of organizations are implementing AI and the demand for professionals in AI is growing at an amazing speed. Best Artificial Intelligence Training Institute in Noida-delhi (AI) course with ExcelR will provide a wide understanding of the concepts of Artificial Intelligence (AI) to make computer programs to solve problems and achieve goals in the world.Artificial Intelligence (AI) makes computers to perform tasks such as speech recognition, decision-making and visual perception which normally requires human intelligence that aims to develop intelligent machines.more visit here:https://inovitechnologies.com/

Type 1: Reactive machines. An example is Deep Blue, the IBM chess program that beat Garry Kasparov in the 1990s. Deep Blue can identify pieces on the chess board and make predictions, but it has no memory and cannot use past experiences to inform future ones. It analyzes possible moves -- its own and its opponent -- and chooses the most strategic move. Deep Blue and Google's AlphaGO were designed for narrow purposes and cannot easily be applied to another situation.

Type 2: Limited memory. These AI systems can use past experiences to inform future decisions. Some of the decision- making functions in self-driving cars are designed this way. Observations inform actions happening in the not-distant future, such as a car changing lanes. These observations are not stored permanently.

Type 3: Theory of mind. This psychology term refers to the understanding that others have their own beliefs, desires and intentions that impact the decisions they make. This kind of AI does not yet exist.

Type 4: Self-awareness. In this category, AI systems have a sense of self, have consciousness. Machines with self-awareness understand their current state and can use the information to infer what others are feeling. This type of AI does not yet exist.

 

Introduction To Deep Learning:

 

 

  • What are the Limitations of Machine Learning?
  • What is Deep Learning?
  • Advantage of Deep Learning over Machine learning
  • Reasons to go for Deep Learning
  • Real-Life use cases of Deep Learning

 

Introduction To Artificial Intelligence:

  • History of AI
  • Modern era of AI
  • How is this era of AI different?
  • Transformative Changes
  • Role of Machine learning & Deep Learning in AI
  • Hardware for AI (CPU vs. GPU vs. TPU)
  • Software Frameworks for AI
  • Deep Learning Frameworks for AI
  • Key Industry applications of AI

Our Courses:



Java

Mean Stack

Artificial Intelligence

Hadoop

Devops

Python

RPA

Salesforce

Linux And Red Hat

Data Scientist

Web Designing



           




Contact:

 

Email:info@inovitechnologies.com



Address: F-7, Sec-3 Noida UP 201301



Mobile No: 9354482334 ,8810643463

 

Phone No: +91-120-4213880



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