📐 ML Fundamentals

Neural networks, backpropagation, gradient descent — the maths behind AI

ML Fundamentals

STATISTICS- What are Random Variables and It's Types and its Importance?

Krish Naik Intermediate 6y ago

ML Fundamentals

STATISTICS- Variance and Standard Devation

Krish Naik Intermediate 6y ago

ML Fundamentals

Web 3.0 & Privacy - Computerphile

Computerphile Intermediate 6y ago

ML Fundamentals

Inside TensorFlow: tf.Keras (part 2)

TensorFlow Intermediate 6y ago

ML Fundamentals

Packet Radio (Post Apocalyptic Internet?) - Computerphile

Computerphile Intermediate 6y ago

ML Fundamentals

Inside TensorFlow: tf.Keras (Part 1)

TensorFlow Intermediate 6y ago

ML Fundamentals

Gauge Equivariant Convolutional Networks and the Icosahedral CNN

Yannic Kilcher Intermediate 6y ago

ML Fundamentals

Onyx

Data Skeptic Intermediate 6y ago

ML Fundamentals

16. Video Frame Prediction using CNNs and LSTMs (2019)

Weights & Biases Intermediate 6y ago

ML Fundamentals

Saturday Live Q&A

Krish Naik Intermediate 6y ago

ML Fundamentals

Why Python is the Best Programming Language For Machine Learning?

Krish Naik Intermediate 6y ago

ML Fundamentals

How To Get Data Science Jobs For Freshers

Krish Naik Intermediate 6y ago

ML Fundamentals

Online Courses for Data Science Specialization

Krish Naik Intermediate 6y ago

ML Fundamentals

How To Learn Data Science by Self Study and For Free

Krish Naik Intermediate 6y ago

ML Fundamentals

Do We Require Master OR PHD to Become Data Scientist?

Krish Naik Intermediate 6y ago

ML Fundamentals

Answering Your Questions and Some More Updates

Krish Naik Intermediate 6y ago

ML Fundamentals

Tutorial 2- Deployment of ML models in Heroku using FLASK

Krish Naik Intermediate 6y ago

ML Fundamentals

How To Apply Data Science In Your Domain?

Krish Naik Intermediate 6y ago

ML Fundamentals

Important Tools and Libraries Used By Data Scientist

Krish Naik Intermediate 6y ago

ML Fundamentals

Raspberry Pi 4 on the Raspberry Pi 4 - Computerphile

Computerphile Intermediate 6y ago

ML Fundamentals

The Role of Maths in Data Science and How to Learn?

Krish Naik Intermediate 6y ago

ML Fundamentals

How To Handle Missing Values in Categorical Features

Krish Naik Intermediate 6y ago

ML Fundamentals

Cosine Similarity and Cosine Distance

Krish Naik Intermediate 6y ago

ML Fundamentals

Euclidean Distance and Manhattan Distance

Krish Naik Intermediate 6y ago

ML Fundamentals

Why Do I Teach? Motivations

Krish Naik Intermediate 6y ago

ML Fundamentals

Data Engineer vs Data Analyst vs Data Scientist

Krish Naik Intermediate 6y ago

ML Fundamentals

What Do A Data Scientist Do?

Krish Naik Intermediate 6y ago

ML Fundamentals

Inside TensorFlow: tf.distribute.Strategy

TensorFlow Intermediate 6y ago

ML Fundamentals

Why Do We Need to Perform Feature Scaling?

Krish Naik Intermediate 6y ago

ML Fundamentals

Different Types of Feature Engineering Encoding Techniques

Krish Naik Intermediate 6y ago

ML Fundamentals

How to Crack Data Science Interviews- Motivations

Krish Naik Intermediate 6y ago

ML Fundamentals

What should be your Salary Expectation as a Data Scientist?

Krish Naik Intermediate 6y ago

ML Fundamentals

Step By Step Transition Towards Data Science

Krish Naik Intermediate 6y ago

ML Fundamentals

Feature Engineering-How to Perform One Hot Encoding for Multi Categorical Variables

Krish Naik Intermediate 6y ago

ML Fundamentals

Complete Life Cycle of a Data Science Project

Krish Naik Intermediate 6y ago

ML Fundamentals

My Path on Becoming a Data Scientist- Motivation

Krish Naik Intermediate 6y ago

ML Fundamentals

Train Test Split vs K Fold vs Stratified K fold Cross Validation

Krish Naik Intermediate 6y ago

ML Fundamentals

Multi Programming - Computerphile

Computerphile Intermediate 6y ago

ML Fundamentals

Tutorial 1- Weighted hybrid technique for Recommender system

Krish Naik Intermediate 6y ago

ML Fundamentals

Before Raspberry Pi and Arduino - Computerphile

Computerphile Intermediate 6y ago

ML Fundamentals

Python Application to Track Amazon Product Prices

Krish Naik Intermediate 6y ago

ML Fundamentals

Recommendation Systems using Machine Learning

Krish Naik Intermediate 6y ago

ML Fundamentals

Tutorial 8- Exploding Gradient Problem in Neural Network

Krish Naik Intermediate 6y ago

ML Fundamentals

Self Compiling Compilers - Computerphile

Computerphile Intermediate 6y ago

ML Fundamentals

Tutorial 6-Chain Rule of Differentiation with BackPropagation

Krish Naik Intermediate 6y ago

ML Fundamentals

Tutorial 5- How to train MultiLayer Neural Network and Gradient Descent

Krish Naik Intermediate 6y ago

ML Fundamentals

Tutorial 4: How to train Neural Network with BackPropogation

Krish Naik Intermediate 6y ago

ML Fundamentals

Malaria Disease Detection using Deep Learning

Krish Naik Intermediate 6y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Automate, Evaluate and Deploy ML Models Confidently

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Fundamentos de IA Aplicados ao CRM

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Web of Data

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Introduction to Neural Networks and PyTorch

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Análisis exploratorio de datos con Python y Pandas

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Browser-based Models with TensorFlow.js

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Fundamentals of AWS AI and ML Solutions

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Python: Mastering NumPy Essentials

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AWS Certified Machine Learning - Specialty

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Deep Learning: Del Concepto a la Práctica

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Build Testable Python Packages for AI

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Device-based Models with TensorFlow Lite

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Introduction to Linear Algebra and Python

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Solve Business Problems with AI and Machine Learning

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Machine Learning – Modern Computer Vision & Generative AI

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AI Foundations for Creativity

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Amazon Kinesis Video Streams - Getting Started

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Unsupervised Machine Learning

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