Applied AI Course - Invidious

Applied AI Course

The AppliedAICourse attempts to teach students/course-participants some of the core ideas in machine learning, data-science and AI that would help the participants go from a real world business problem to a first cut, working and deployable AI solution to the problem. Our primary focus is to help participants build real world AI solutions using the skills they learn in this course.

This course will focus on practical knowledge more than mathematical or theoretical rigor. That doesn't mean that we would water down the content. We will try and balance the theory and practice while giving more preference to the practical and applied aspects of AI as the course name suggests. Through the course, we will work on 20+ case studies of real world AI problems and datasets to help students grasp the practical details of building AI solutions. For each idea/algorithm in AI, we would provide examples to provide the intuition and show how the idea to used in the real world.

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1:34:28

Public LIVE: Interview questions for Data Analyst roles at product based companies

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Public LIVE: Frequently asked Questions about Data Science

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Public LIVE: Planning for Data Science career transitions in 2022

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Public LIVE: Scenario based Interview Questions @ product-based companies

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Public LIVE: Architecture and Design of Distributed ML systems

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Shared 4 years ago

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Public LIVE: Sample Portfolio projects in AI/ML

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Public LIVE: Tools and Libraries most used by ML Engineers and Data Scientists

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Public LIVE: Typical career transition paths into AI/ML/Data-science

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Public LIVE: AI Career Transitions via Diploma Program

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Public LIVE: Q&A on leanring ML/AI

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Public LIVE: Discussion about Diploma in AI & ML

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Public LIVE: How to crack screening/take-home assignments in ML interviews

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Public LIVE: Continuous Improvement of ML Systems

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Public LIVE: Scenario based interview questions in AI/ML/DataScience

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Public LIVE: How to learn programming for careers in Data Science/AI/ML

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Public LIVE: Code Walkthrough (OpenCV using Python)

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LIVE: Preparing for careers in ML/AI

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LIVE: "Smart" data acquisition for ML and AI

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Learn to Solve Programming Problems in Ai & Ml | Programming for Problem Solving | Applied Ai Course

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Webinar On AI: Careers and Opportunities

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LIVE: How to best learn AI &ML in 6 months

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LIVE: Interactive Interview Session on Python programming for ML/AI

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General Q&A Session

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LIVE: SQL for Data Science, ML & SDE Interviews

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LIVE: Solving Recursion Problems

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LIVE: Design and build a Chatbot from Scratch-Part 2

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LIVE: Design and build a Chatbot from Scratch

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LIVE: Parallel programming for training and productionization of ML/AI systems

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LIVE: Multi-Processing & Multithreading in Python for AI/ML

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LIVE: AutoML: Potential, Limitations and Careers

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Introduction to Spark for Data Science and Machine Learning [ Recorded Live Session]

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LIVE: Software Engineer Interview Preparation | Data Structures and Algorithms | Applied AI Course

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Public LIVE: How to use Github?

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LIVE: Semantic Search for Q&A [Design + Code] --- Part 4/4

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LIVE: Semantic Search for Q&A [Design + Code] --- Part 3/4

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LIVE: Semantic Search for Q&A [Design + Code] --- Part 2/4

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LIVE: Semantic Search for Q&A [Design + Code] --- Part 1/4

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LIVE: Interactive Interview Questions

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LIVE: Surviving and excelling professionally during the pandemic

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Dimensionality Reduction for Machine Learning and AI | Live Session | Applied AI Course

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Basics of Linear Algebra for Machine Learning and Artificial Intelligence | LIVE | Applied AI Course

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OOP in Python for Artificial intelligence - II | Live Session | Applied AI Course

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OOP in Python For AI - I | Live Session | Applied AI Course

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Dynamic Programming & Python in-built Data-Structures | Live Session | Applied AI Course

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LIVE-5: Problems in Python [ Strings and Regex -II]

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LIVE-4: Problems in Python [ Strings and Regex ]

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LIVE-3: Numerical methods in Python (for AI) -II

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LIVE-2: Numerical algorithms using Python (for AI) - I

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LIVE-1: Basic programming & bug-fixing in Python (for AI)

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LIVE: An overview of AI Algorithms ( a 10,000 feet view)

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LIVE on 1st March 2020: Using Web-APIs in Python for ML

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LIVE: Big-Data & Cloud Storage for ML/AI Applications | Applied AI Course

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LIVE: General Q&A | Applied AI Course

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LIVE on 1st Dec, 2019: High-level design of a self driving system | Applied AI Course

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LIVE: Machine Learning projects for your career transition (based on your current role)

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LIVE: Building a simple Youtube recommendation using basic Math | Applied AI Course

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LIVE on 21st July 2019: How to build IoT + AI systems. | Applied AI Course

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How to prepare for Machine Learning interviews- Part 2 | Applied AI Course

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