Machine Learning Introduction

• Introduction to Python Programming
• Python Libraries (NumPy, SciPy, Pandas, Matplotlib)
• Assignment and practical
• Overview of AI and ML Concepts
• Applications of AI
Time Duration: 4 Weeks
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Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.
TensorFlow, Scikit-Learn, PyTorch, Jupiter Notebook, Apache, Azure, Keras, Tableau, MatplotLib, Pandas, Seaborn
Creating programmes and algorithms that enable machines to take actions without being directed.
Data scientists answers major questions that help organizations make objective decisions.
A data analyst collects, processes and performs statistical analyses on large dataset.
Creating computer software that can collect, analyze and report information from large databases.
Who should take this Machine Learning Program
• Introduction to Python Programming
• Python Libraries (NumPy, SciPy, Pandas, Matplotlib)
• Assignment and practical
• Overview of AI and ML Concepts
• Applications of AI
Time Duration: 4 Weeks
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• Formulating Real World Problems for AI/ML
• Intuitive and Simple Algorithms
• Data Pre-Processing and Visualization
• Representation of Real World Data
• Supervised and Unsupervised machine Learning
• Classification and Regression Problems
• Time Series Analysis
• Assignment
Time Duration: 10 Weeks
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• Linear Algorithms, Training and Optimization
• Linear regression
• Logistic regression
• Principle Components Analysis (PCA)
• Gradient Descent and Backpropagation
• Decision Trees, Random Forests and Ensembles
• Support Vector Machines
• Assignment
Time Duration: 10 Weeks
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• Introduction to Deep Learning
• Convolutional Neural Networks
• Recurrent Neural Networks
• Assignment
• Overview of Advanced Topics
Time Duration: 4 Weeks
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As a Machine Learning, you are required to understand the business problem, design a data analysis strategy, collect and format the required data, apply algorithms or techniques using the correct tools, and make recommendations backed by data.
Online courses are delivered asynchronously where students learn on their own schedule (self-paced learning) without any real time instructor. The course content - lessons, prerecorded video lectures and tutorials, tests and quizzes, homework and assignments can be access by the students enrolled in the course at any time, as long as the course is active and available.
Live online classes are synchronous events organized in a live virtual meeting room where students and trainers meet together to communicate with voice, video, whiteboard. Live online classes require students and instructors to be online at the same time. Meetings and lectures occur at the same hour. All students must be online and connected to the internet at that specific hour.
We provide classroom coding sessions at our training center based in New Delhi. We also conduct weekly workshops for performance insights.
We have a strong team of professions who are experts in their fields. Our trainers are highly supportive and render a friendly working environment to the students positively stimulating their growth.
Chance to make a difference
Join the top ranked Machine Learning & AI course with pythonext and get affordable & quality training to enhance your professional career.
Launch your Machine Learning & AI Career:
Course: Machine Learning & Artificial Intelligence
Time Duration: 7 Months
Training Mode: Online, Classroom Training & 1 to 1
Fee Option: 3 equal Installments & Monthly
Class Timings: Weekdays & Weekend (Sat-Sun)
Certification: Certificate program in ML & AI
Special Offer!!
Get assured 40% discount on Machine Learning & AI til Dec'20
This demo class is a 1 hour session. The demo class is conducted on industry-standard online class infrastructure from Zoom.us. You'll just need a computer/ tablet with good internet connectivity to participate.
What you will learn in the demo:
• How to get started with Machine Learning as a career option
• Application of Data Science
• Machine Learning terminologies
• Understand real-life business scenarios that encounter
• Hands-on experience in data analysis using Python
• How to choose the right Machine Learning program
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