TechInsight
Welcome to my YouTube channel focused on Machine Learning! Here, we delve into the fascinating world of AI, and guide you through creating intelligent systems that can learn and adapt on their own. Whether you're a beginner or an experienced programmer, we've got you covered.
Our channel features a variety of videos, covering a wide range of topics related to machine learning. We start with the basics of machine learning, and gradually move on to more advanced techniques like deep learning and neural networks. We also share tips and tricks for working with popular machine learning frameworks like TensorFlow and PyTorch.
So, whether you're looking to start your journey in machine learning, or you're already an experienced practitioner looking to take your skills to the next level, we invite you to join us on this exciting journey. Explore the fascinating world of AI, and discover how to harness the power of machine learning to solve real-world problems.
#machinelearning #AI #pytho
Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models
Multimodal Chain-of-Thought Reasoning in Language Models | Large langauge models capabilities
Python Programming | Introduction to Sqlite | Creating a database in Python
Python Programming | Intro to asynchronous operations in Python | Asyncio
3X Pandas Code with Pandarallel | Parallelization | Python library | Python Programming
Sequence Prediction Problems
Recommender Systems | Designing recommendation using auto-encoders | Machine Learning | DeepLearning
Data preprocessing steps | Standard Scaler | Feature scaling
Handling missing values in data | KNNImputer | Distance based imputation
Handling missing values in data | Data imputation
Augmenting training data for NLP models | skweak : weak supervision made easy for NLP | NER
Introduction to Pytorch - Linear Regression model plotting against the ground truth
Introduction to Pytorch - Training a neural network in Pytorch for Linear regression
Introduction to Pytorch - What is Linear Regression ?
Introduction to Pytorch - Training the neural network model
Introduction to Pytorch - Initialising the neural network model
Introduction to Pytorch - Defining a two layer neural network
Introduction to Pytorch - Variables in pytorch
Introduction to Pytorch - Tensors in pytorch
FastFormers:Highly Efficient Transformer Models for Natural Language Understanding 223x improvement
FaceNet: Unified Embedding for Face Recognition and Clustering | DeepLearning
What is Machine Learning ? Introduction to Machine Learning.
Build Deep Learning model in browser | Tensor-flow Playground | Machine Learning
Natural language processing - semantic textual similarity - multi task learning
Deep Learning based Recommender System: Part I Deep Learning Techniques for Recommendations
Deep Learning based Recommender System: Introduction
Theano ML 003 Binary Classification using Regularized Logistic Regression
Theano ML 002 Binary Classification using Logistic Regression
Theano ML 001 Linear Regression
Theano Tutorial 005 default values