This live Machine Learning course by Coding Blocks is one of its kind. The course comprising of over 30 live sessions and couple of mini projects for teaching, boasts of an all-exhaustive and highly comprehensive curriculum. The Machine Learning live course starts with the essentials of Python, gradually moving towards to concepts of advanced algorithms and finally into the cores of Machine Learning. With our key focus being the projects, we dive deeper into the fundamentals of classical algorithms and deep neural networks enabling the students to work out optimizing solutions to the real-world problems. It is just a matter of weeks before the students actually begin building intelligent systems, working on AI algorithms and data crunching. As a part of these online live Machine Learning classes, a detailed overview of the programming fundamentals and Python Basics would be covered with the students so as to make them grasp the concepts of Machine Learning quickly and effortlessly.
The course is broadly divided in 7 categories, and covers many topics from Coding Blocks Data Science & Deep Learning Course.
• Introduction to Machine Learning
• Supervised Learning Algorithms
• Unsupervised Learning
• Deep Learning
• Deep Learning in Computer Vision
• Deep Learning Natural Language Processing
• Reinforcement Learning
Prior programming experience & OOPS concepts in any language is a must, knowledge of Python is recommended but not mandatory. You may try out out our Python for Developers course for strengthening your Python Concepts. You should be familiar with Git-Github basics.
Anuj is an open-source enthusiast and a GSoC mentor and admin under the RedHat Foundation. He has worked in the core teams of various products by RedHat and is an expert in Enterprise Java and web services. He is also administrating in GSoC'19 under the umbrella of JBoss for Servers and IoT monitoring.
Currently doing his Masters in Machine Learning from IIT Delhi, Prateek is an ace programmer who has worked with SanDisk and HackerEarth in the past. He has also won prestigious hackathons including Google’s Code For India and Smart City Hackathon. A Computer Science Graduate from DTU, he is highly popular among students for his teaching methods. His interactive CV (www.prateeknarang.com) is also well known in 120+ countries.