Machine Learning and Artificial Intelligence using Python

Machine learning and Artificial Intelligence using Python.

Overview

Why Machine Learning and Artificial Intelligence.

Data Science is predicted to grow over the next decade and about 11.5 Million jobs will be created by 2026 according to U.S. Bureau of Labor Statistics. More and more industries are becoming data hungry and they need data to hold specialized data scientists who can craft products for the customers.

Artificial Intelligence (AI)  and Machine Learning (ML) have completely transformed what computers can do for us. In a few years, 75% of all enterprise applications are expected to use AI, paving the way for millions of job. It addresses one of the ultimate puzzles humans are trying to solve: How is it possible for a slow, tiny brain, whether biological or electronic, to perceive, understand, predict and manipulate a world far larger and more complicated than itself? And how do people create a machine (or computer) with those properties? To that end, AI researchers try to understand how seeing, learning, remembering and reasoning can, or should, be done.

Learning Outcomes

  • Build your expertise in the most widely-used AI & ML tools and technologies.
  • Acquire the ability to independently solve business problems using AI & ML
  • Master the skills needed to build machine learning and deep learning models
  • Applications of AI in areas such as Neural Networks, Computer Vision & NLP
  • Learn how to use Anaconda to manage packages and environments for use with Python
  • Learn how to use Jupyter Notebooks to create documents combining code, text, images, and more
  • Learn the value of NumPy and how to use it to manipulate data for AI problems
  • Learn about the world of Neural Networks and see how it relates directly to Linear Algebra
  • Acquire a solid foundation in deep learning and neural networks. Implement gradient descent and backpropagation in Python
  • Learn about techniques for how to improve training of a neural network, such as: early stopping, regularization and dropout
  • Learn how to use PyTorch for building deep learning models

Syllabus

  • 101 – Python, data structures, functions, classes & objects
  • Introduction to Numpy, Scipy and Pandas
  • Foundation in Machine learning
  • Linear Regression
  • Understanding coefficients, Intercept, Residuals and also linear algebra
  • Learn how to work with dummy variables (Categorical variables)
  • Polynomial Linear Regression
  • Comparison of Regression algorithms [Linear, polynomial, SVM, Decision tree and random forest]
  • Logistic Regression
  • Decision Trees & Random Forest
  • KNN
  • SVM
  • Linear Algebra Introduction, Vectors
  • Linear combination
  • Linear Transformation and Matrices
  • Linear Algebra in Neural Vectors
  • Calculus Essentials
  • Derivatives Through Geometry
  • Chain Rule and Dot Product
  • Limits, Integration
  • Calculus in Neural Networks
  • Training Neural Networks
  • Deep Learning with PyTorch
  • Student has to demonstrate complete proficiency in concepts covered by completing and presenting the Capstone project in a live environment

INSTRUCTORS

Our instructors are not just highly experienced in the industry, they give you the personal attention you need and guide you every step of the way.

Course Duration

Starting soon

Limited seats only

For information regarding fee and/or reserving your spot, contact our Admissions Team.

Credit transfers applicable for alumni

OUR STUDENTS WORK AT

Sollers partners with industry-leading corporations and provides them with ready-on-day-one employees. We record an 82% placement rate within three months of graduation.

Financial Options

Sollers has devised viable financial options for you to ensure tuition does not get in the way of your education. Now, you can focus your attention where it needs to be – in the classroom!

Career Guidance

After the completion of program, we assist our students with interview coaching, resume building sessions, conduct mock interviews, job readiness training and make them competent to venture into the corporate world.

We provide exclusive one-on-one sessions with our industry-based career advisors who provide guidance right from resume feedback, assisting with interview Q&As, and helping with job preparations.

Student Testimonials

  • Purvesh D.
    Sollers provided me a great opportunity to start my career in Big Data. The teaching faculty has very good experience and helped me out with any difficulties I faced during the course. I have worked on different Big Data technologies via projects. I recommend this course to aspiring students who want to kick start their careers in Big Data.
    Purvesh D.
  • Mehta M.
    My overall experience with Sollers was good. I got my first full-time job through their IAM training program. The faculty and Student Services are helpful and respond to your queries quickly. I got the opportunity to learn Active Directory and Microsoft Azure.
    Mehta M.

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