Neural Networks & AI-1 2019-10-22T09:04:38+00:00

Neural Networks & AI

  • Driven by Innovations
  • Several Case studies
  • Hands on projects
  • Practical Lab sessions
  • Placement Assistance

Duration :Classroom Weekend : 6 months
Online Weekday : 3.5 months

About Course

A neural network is a series of algorithms that actions to recognize fundamental relationships in a set of data through a progression that imitates the way the human brain functions. A neural network is a network or circuit of neurons, or in a contemporary sense, an artificial neural network, composed of artificial neurons or nodes. Neural networks can become accustomed to changing input; so the network generates the best imaginable result without necessitating to redesigning the output criteria.

Thus a neural network is either a natural biological neural network, made up of real biological neurons, or an artificial neural network, for solving artificial intelligence (AI) problems. These artificial networks may possibly be used for predictive modeling, adaptive control and applications where they can be taught via a dataset. Self-learning resulting from understanding can transpire within networks, which can develop conclusions or assumptions from a multifaceted and superficially distinct set of information.

Neural networks were first proposed in 1944 by Warren McCullough and Walter Pitts, two University of Chicago researchers who moved to MIT in 1952 as founding members of what’s sometimes called the first cognitive science department. Neural nets were a most important area of research in both neuroscience and computer science untiln1969, when, according to computer science lore, they were killed off by the MIT mathematicians Marvin Minsky and Seymour Papert, who a year later would become co-directors of the new MIT Artificial Intelligence Laboratory. The technique then enjoyed resurgence in the 1980s, fell into eclipse again in the first decade of the new century, and has returned with robust speed in the second, powered largely by the increased processing power of graphics chips.

At Integrum Litera we begin with training in detail about Introduction to Neural Net & AI, overview of Neural Net & AI, applications of Neural Net & AI, skills required for Neural Net & AI, steps involved in Neural Net & AI project, descriptive and inferential statistics, basic machine learning algorithms, advanced machine learning algorithms, time series analysis and forecasting, statistical analysis tools (R,Python & SAS), deep learning, neural networks, Image & text processing & lab sessions led by professionals, hands on real time projects, exclusive placement assistance followed by mock interviews and certification.

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  • review rating 5  I attended one of their data science course and Have to start with the people there. Extremely sweet and very supportive. Can't stress how important that is. The trainer takes his time to explain every detail regarding the topics he's covering. You walk out with the understanding and knowledge of what has been taught.I can say and understand what data science is about and how it affects various fields of work including my own. You won't go wrong with this training firm. You'll see what I mean.

    thumb Joe Static
    2/21/2019
  • review rating 5  Hi everyone, I am Neville from Pune. I am presently working as a data scientist in one of the MNC company in Hyderabad. I had come down to Hyderabad to pursue a 6 month course in Data Science/Machine Learning & AI with Integrum Litera and I enrolled in one of their advanced certification courses in AI, from here onwards my journey with Integrum Litera-redefined in AI Secunderabad began. My Journey with Integrum Litera has excelled me by bringing out the hidden best talent in me. I could brush up my statistical knowledge which is mostly needed to become a Data scientist. They have equipped me with the needed skill set that many of the companies are looking out in skilled candidates. They were able to throw light on various machine learning algorithms like Linear regression, Logistic regression, Decision tree, Random Forest, KNN, Neural Networks, Time series, PCA, Lasso and Ridge regression. Apart from providing the required knowledge they had gone ahead and scheduled me for multiple interviews in to the relevant profile & finally got placed as well. The Facility members and the management out there are very helpful in terms of sharing knowledge. I would personally like to thank the management and faculty and all the people whose efforts are involved to make my dream successful in the Organization. “You would definitely not regret the choice for joining their advanced certification in Data Science & AI”

    thumb neville thomas
    3/28/2019
  • review rating 5  Very good institute for data science ..very nice faculty..

    thumb sravan kumar
    7/28/2019
  • review rating 5  Great value for money, very supportive management and patient trainers to help the aspirants. You will not regret your decision joining Integrum.

    thumb Mohit Kumar
    8/25/2019
  • review rating 5  I am taking Data science course in integrum litera institute. The instructor is very experienced and he know how to explain each and every student to understand easy way. management also behaving very responsible. I am highly satisfied with this training.

    thumb Shekar Chandu
    3/08/2019

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Modes

• Online Weekday
• Classroom Weekend

Accreditation

• Certified Course
• ISO 9001 – 2015 Certified
• Certified by AICRA (All India Council for Robotics & Automation) for Certification

USP

• Global Experienced trainers
• Free Career Counseling
• Placement Assistance
• Well planned curriculum
• Comprehensive Study Material
• Personalized Support

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