📐 ML Fundamentals

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

📐 ML Fundamentals

Build an image classifier (ML Zero to Hero - Part 4)

TensorFlow Intermediate 6y ago

📐 ML Fundamentals

How Did I Learn Machine Learning in 3 Months

Krish Naik Intermediate 6y ago

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Detailed Salary Comparison Between Data Analyst and Data Scientist

Krish Naik Intermediate 6y ago

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The UNCOL Problem - Computerphile

Computerphile Intermediate 6y ago

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Adversarial Attacks on Neural Networks - Bug or Feature?

Two Minute Papers Intermediate 6y ago

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'Accidental' CrossCompiler - Computerphile

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Hi YouTube!

ritvikmath Intermediate 6y ago

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Dynamic Routing Between Capsules

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Inside TensorFlow: tf.Keras (part 2)

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Kaggle Competition- Dengue or Malaria Prediction Using Transfer Learning VGG19

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Salary Comparison Between Data Scientist vs Software Engineer

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Kaggle Competition- Predicting PIMA Diabetes Prediction using Machine Learning

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Live Q&A Internship Opportunities

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Kaggle Competition- Implement A DNA Classifier using NLP

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Kaggle Competition- Predict Stock Price Movement Based On News Headline using NLP

Krish Naik Intermediate 6y ago

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Statistics-Finding Outliers in Dataset using Z- score and IQR

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Featuring Engineering- How To Handle Ordinal Categories(Ordinal Encoding)

Krish Naik Intermediate 6y ago

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Featuring Engineering- Handle Categorical Features Many Categories(Count/Frequency Encoding)

Krish Naik Intermediate 6y ago

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Kaggle Competition- I Used Deep Learning Technique and did the Accuracy Increase? Part 3

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Kaggle Competition - House Prices Regression Techniques(Hyperparameter Tuning)-Part 2

Krish Naik Intermediate 6y ago

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Kaggle Competition - House Prices: Advanced Regression Techniques Part1

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📐 ML Fundamentals

Various Roles and Responsibilities in Data Science

Krish Naik Intermediate 6y ago

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📐 ML Fundamentals

Machine Learning Engineer VS Data Scientist

Krish Naik Intermediate 6y ago

📐 ML Fundamentals

STATISTICS- Chebyshev's InEquality

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📐 ML Fundamentals

STATISTICS- Gaussian/ Normal Distribution

Krish Naik Intermediate 6y ago

📐 ML Fundamentals

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Computerphile Intermediate 6y ago

📐 ML Fundamentals

STATISTICS- PERCENTILES and QUANTILES

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STATISTICS- Population VS Sample and it's Importance

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

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STATISTICS- Variance and Standard Devation

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Why Python is the Best Programming Language For Machine Learning?

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How To Get Data Science Jobs For Freshers

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Online Courses for Data Science Specialization

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Packet Radio (Post Apocalyptic Internet?) - Computerphile

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How To Learn Data Science by Self Study and For Free

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Do We Require Master OR PHD to Become Data Scientist?

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Answering Your Questions and Some More Updates

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Tutorial 2- Deployment of ML models in Heroku using FLASK

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How To Apply Data Science In Your Domain?

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Important Tools and Libraries Used By Data Scientist

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Inside TensorFlow: tf.Keras (Part 1)

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How To Handle Missing Values in Categorical Features

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📚 Coursera Courses Opens on Coursera · Free to audit

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AI Infrastructure: Cloud TPUs

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Create Image Captioning Models - Français

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Demand Forecasting Using Time Series

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Digital Signal Processing 1: Basic Concepts and Algorithms

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Traverse Trees for ML with DFS & BFS

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Building a Machine Learning Solution

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AWS: IoT, Machine Learning and Blockchain

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Neural Networks and Random Forests

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Apply SOLID Design to Optimize Java ML

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No-Code AI Foundations for Business Professionals

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Machine Learning

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Classify Images with TensorFlow Convolutional Neural Networks

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Information Extraction from Free Text Data in Health

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Linear Algebra and Regression Fundamentals for Data Science

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Computer Vision and Sequence Analysis in Machine Learning

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Derivatives: a guide to calculation

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Innovating with Google Cloud Artificial Intelligence

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Présentation de l'IA et du machine learning sur Google Cloud

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