Machine Learning Course in Patna
Machine Learning and Artificial Intelligence are on the cusp of revolutionizing the way we interact with technology and the environment around us. By bringing these two technologies together, it enables systems to process data with extreme precision. As a result, many industries worldwide have recognized the potential of Machine Learning and are incorporating it as a central technology.
55% Average Salary Hike
45 LPA Highest Salary
Program Features
- Live Instructor- Led Sessions
- Fundamentals to Advanced
- Hands-on Live Projects
- Assignments and MCQs
- Hands-on Learning
- 24*7 Support
Internship Opportunities
Certificate of Completion
100% Job Placement
Machine Learning Course Overview
The scope of Machine Learning in India is rapidly expanding across various industries such as Healthcare, Finance, Retail and E-Commerce, Transportation and Logistics, Manufacturing, Agriculture, Energy and last but bot the least Education. The increasing amount of data being generated and the need for more efficient and accurate decision-making has led to a growing demand for Machine Learning experts in the country.
The Indian government has also recognized the potential of Machine Learning and has launched several initiatives to promote its adoption and development in the country. The government’s “Digital India” and “Make in India” initiatives aim to promote the use of technology, including Machine Learning, to drive economic growth and improve the standard of living.
Machine Learning is a subfield of Artificial Intelligence that enables systems to learn and improve from data, without being explicitly programmed. It is a method of teaching computers to learn from data, identify patterns and make decisions with minimal human intervention. Machine Learning algorithms use statistical techniques to enable computer systems to “learn” from data, without being explicitly programmed. This learning process can be supervised, unsupervised, or semi-supervised.
In supervised learning, the computer is provided with labeled data and learns to predict the output for new inputs. In unsupervised learning, the computer is not provided with labeled data and must find patterns and structure in the data on its own. And in semi-supervised learning, the computer is provided with a small amount of labeled data and a large amount of unlabeled data and learns from both.
Machine learning has many applications in various fields such as computer vision, natural language processing, speech recognition, and many others. It can help to improve the efficiency and accuracy of decision-making, and make predictions about future events.
These subjects are designed in a way that they give an overview of Machnie Learning . Some of these and topics are-
- Introduction to Python
- Machine Learning Concepts
- Applied Statistics
- Face Detection
- Sentiment Analyzer
- Reinforcement Learning
- Object Detection
- TensorFlow and Neural Network
- Motion Analysis and Object Tracking
This Machine Learning Course is suitable for.
- 11th and 12th graders and graduates
- Freshers
- Engineers
- Working Professional
There aren’t any. But, basic knowledge of Computer and fundamentals Enroll today to become a certified AI & ML Expert!
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Machine Learning Job Opportunities<
As the importance of Machine Learning continues to grow, job opportunities in the field are also increasing.According to a study by Indeed, the number of job postings for Machine Learning roles in India has increased by over 300% between 2015 and 2020. Many startups and large companies are looking for Machine Learning experts to join their teams. The demand for Machine Learning professionals in India is expected to continue to grow in the coming years as more industries begin to adopt this technology. It’s a good time for individuals who are interested in this field to start learning and building expertise in Machine Learning.
There are a wide variety of job opportunities in the field of machine learning, with roles available across many different industries. Some examples include
- Machine Learning Engineer: Build and maintain machine learning models, and work with big data to improve the performance of AI systems.
- Research Scientist: Conduct research in machine learning, and publish papers in academic journals.
- Robotics Engineer: Design and develop robotic systems, including autonomous vehicles, drones, and industrial robots.
- Machine Learning Consultant: Provide advice and guidance to organizations on the implementation of machine learning solutions.
- Machine Learning Product Manager: Manage the development, delivery, and commercialization of machine learning-based products.
Machine Learning Course Curriculum
- Introduction to AI, Applications
- Machine Learning, Types
- Deep Learning, ANN, Batch Learning
- Web Scrapping, Searching the Tree
- Python basics, Anaconda Setup
- NumPy, Scipy, Pandas, sklearn
- Additional Topic: Operating System
- Digital Image Processing Fundamentals
- Computer Vision concepts
- Introduction to OpenCv
- Image Classification
- Object Detection
- Pose Estimation
- Object Tracking
- Visual Saliency Estimation
Additional Topic: Virtualization
- Natural Language Processing introduction
- Sentiment Analysis
- Machine Translation
- Document Search
- Parts of Speech Tagging and HMM
- Word Embeddings with NN
- Additional Topic: Networking
- Deep Neural Networks
- CNNs, RNNs, GANs
- Autoencoders
- Keras, Tensorflow, Pytorch
- YOLO, ResNets, GoogleNet
- Additional Topic: Cloud
Skills Covered
- Programming languages
- Linear algebra and statistics
- Calculus
- Data Analysis and Visualization
- Neural Networks Problem solving and Communication
- Learning attitude
Tool Covered
- Python
- R Programing
- Pandas
- scikit-learn
- AWS
- Excel
- VSCcde
- Numpy
- TensorFlow
- GCP
- Anaconda
- Google Colab
- scipy
- Keras
- Microsoft Azure
- Jupyter Notebook
- SQL
- matplotlib
- PyTorch
- Github
Machine Learning Certification
This Machine Learning course rewards you with a certificate of course completion. This is proof of your diligence and sustained endeavor.
Our Machine Learning Program is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.
The knowledge and Machine Learning skills you’ve gained working on projects, simulations, case studies will set you ahead of the competition.
Talk about your Machine Learning certification on LinkedIn, Twitter, Facebook, boost your resume, or frame it – tell your friends and colleagues about it.
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Machine Learning Training FAQs
This course is meant for candidates with basic knowledge of computer It is suitable for beginners.
If You not attend the class room session next day we repeat the main tpoics
Yes, If you can’t afford to pay for a Certificate, you can apply for Financial Aid or a Scholarship or discuss through call call.
Yes, We provide Free webinar
