Foundations

ML Fundamentals

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

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ML Maths Basics
beginner
Manipulate vectors and matrices
Supervised Learning
beginner
Train decision trees, random forests, and neural nets
Unsupervised Learning
intermediate
Apply k-means and DBSCAN clustering
ML Pipelines
intermediate
Engineer features and handle missing data
Talks # 11: Jean-François Puget; Did you know GPUs are not just for Deep Learning?
ML Fundamentals
Talks # 11: Jean-François Puget; Did you know GPUs are not just for Deep Learning?
Abhishek Thakur Beginner 5y ago
Complete Road Map To Be Expert In Python- Follow My Way
ML Fundamentals
Complete Road Map To Be Expert In Python- Follow My Way
Krish Naik Beginner 5y ago
Enhancing Video Conferencing - Computerphile
ML Fundamentals
Enhancing Video Conferencing - Computerphile
Computerphile Intermediate 5y ago
Python Machine Learning Tutorial (Data Science)
ML Fundamentals
Python Machine Learning Tutorial (Data Science)
Programming with Mosh Beginner 5y ago
3.3 (Optional) Running Python code
ML Fundamentals
3.3 (Optional) Running Python code
Sebastian Raschka Beginner 5y ago
3.2 (Optional) Python setup
ML Fundamentals
3.2 (Optional) Python setup
Sebastian Raschka Beginner 5y ago
Distributed Computing is the Future of Computing with Robert Nishihara
ML Fundamentals
Distributed Computing is the Future of Computing with Robert Nishihara
Weights & Biases Beginner 5y ago
NLP for Searching for Snippets of Code with Rok Novosel
ML Fundamentals
NLP for Searching for Snippets of Code with Rok Novosel
Weights & Biases Intermediate 5y ago
UNT BAAS Webinar: Bachelor of Applied Arts and Sciences Degree Program
ML Fundamentals
UNT BAAS Webinar: Bachelor of Applied Arts and Sciences Degree Program
Coursera Beginner 5y ago
Ep1 - Getting Started | Zero to Hero in Computer Vision with TensorFlow
ML Fundamentals
Ep1 - Getting Started | Zero to Hero in Computer Vision with TensorFlow
Harshit Tyagi Beginner 5y ago
How To Set Profile And Apply Data Science Jobs In LinkedIn- Must For Freshers
ML Fundamentals
How To Set Profile And Apply Data Science Jobs In LinkedIn- Must For Freshers
Krish Naik Intermediate 5y ago
TensorFlow Tutorial 20 - Classifying Skin Cancer [BEGINNER PROJECT EXAMPLE]
ML Fundamentals
TensorFlow Tutorial 20 - Classifying Skin Cancer [BEGINNER PROJECT EXAMPLE]
Aladdin Persson Beginner 5y ago
Continuous Delivery and Automation Pipelines in Machine Learning // Part 1 // MLOps Coffee Sessions
ML Fundamentals
Continuous Delivery and Automation Pipelines in Machine Learning // Part 1 // MLOps Coffee Sessions
MLOps.community Beginner 5y ago
Solution Challenge Demo Day 2020 Project: FreeSpeak
ML Fundamentals
Solution Challenge Demo Day 2020 Project: FreeSpeak
Google for Developers Intermediate 5y ago
Oxford Union Debate
ML Fundamentals
Oxford Union Debate
Saïd Business School, University of Oxford Beginner 5y ago
Process Images for Fine-Tuned MobileNet with TensorFlow's Keras API
ML Fundamentals
Process Images for Fine-Tuned MobileNet with TensorFlow's Keras API
deeplizard Beginner 5y ago
How Convolution Works
ML Fundamentals
How Convolution Works
Brandon Rohrer Beginner 5y ago
TensorFlow Tutorial 19 - Custom Dataset for Text with TextLineDataset
ML Fundamentals
TensorFlow Tutorial 19 - Custom Dataset for Text with TextLineDataset
Aladdin Persson Beginner 5y ago
Dive into Deep Learning (Study Group): Multilayer Perceptrons | Session 4
ML Fundamentals
Dive into Deep Learning (Study Group): Multilayer Perceptrons | Session 4
Elvis Saravia Beginner 5y ago
The Oxford Economics of Mutuality Forum Day 3
ML Fundamentals
The Oxford Economics of Mutuality Forum Day 3
Saïd Business School, University of Oxford Beginner 5y ago
ML Systems for Leaders & Innovators with Louis Dorard
ML Fundamentals
ML Systems for Leaders & Innovators with Louis Dorard
The TWIML AI Podcast with Sam Charrington Beginner 5y ago
Beyond Accuracy: Behavioral Testing of NLP Models with Sameer Singh - #406
ML Fundamentals
Beyond Accuracy: Behavioral Testing of NLP Models with Sameer Singh - #406
The TWIML AI Podcast with Sam Charrington Beginner 5y ago
Making cryptography accessible, efficient, and scalable with Dr. Divya Gupta and Dr. Rahul Sharma
ML Fundamentals
Making cryptography accessible, efficient, and scalable with Dr. Divya Gupta and Dr. Rahul Sharma
Microsoft Research Advanced 5y ago
How to Become a Machine Learning Engineer
ML Fundamentals
How to Become a Machine Learning Engineer
365 Data Science Beginner 5y ago
Markov Chains : Data Science Basics
ML Fundamentals
Markov Chains : Data Science Basics
ritvikmath Beginner 5y ago
VS Code (codeserver) on Google Colab / Kaggle / Anywhere
ML Fundamentals
VS Code (codeserver) on Google Colab / Kaggle / Anywhere
Abhishek Thakur Beginner 5y ago
Finishing a Proc Macro - Live Stream
ML Fundamentals
Finishing a Proc Macro - Live Stream
Tensor Programming Intermediate 5y ago
Precision, Recall, F1 score, True Positive|Deep Learning Tutorial 19 (Tensorflow2.0, Keras & Python)
ML Fundamentals
Precision, Recall, F1 score, True Positive|Deep Learning Tutorial 19 (Tensorflow2.0, Keras & Python)
codebasics Beginner 5y ago
3.1 (Optional) Python overview
ML Fundamentals
3.1 (Optional) Python overview
Sebastian Raschka Beginner 5y ago
W&B Deep Learning Salon - Robert Nishihara & Rok Novosel
ML Fundamentals
W&B Deep Learning Salon - Robert Nishihara & Rok Novosel
Weights & Biases Intermediate 5y ago
Step By Step Path Of Transition From Data Analyst To Data Scientist
ML Fundamentals
Step By Step Path Of Transition From Data Analyst To Data Scientist
Krish Naik Intermediate 5y ago
VGGNET Architecture In-depth Discussion Along With Code -Deep Learning Advanced CNN
ML Fundamentals
VGGNET Architecture In-depth Discussion Along With Code -Deep Learning Advanced CNN
Krish Naik Advanced 5y ago
Step By Step Path To Become A Data Analyst in 2020
ML Fundamentals
Step By Step Path To Become A Data Analyst in 2020
Krish Naik Intermediate 5y ago
Live- Virtual Interview For Data Scientist By Krish And Sudhanshu
ML Fundamentals
Live- Virtual Interview For Data Scientist By Krish And Sudhanshu
Krish Naik Intermediate 5y ago
Alexnet Architecture In-depth-Discussion Along With Code-Deep Learning Advanced CNN
ML Fundamentals
Alexnet Architecture In-depth-Discussion Along With Code-Deep Learning Advanced CNN
Krish Naik Advanced 5y ago
After hours case study sessions - Royal Canin
ML Fundamentals
After hours case study sessions - Royal Canin
Saïd Business School, University of Oxford Beginner 5y ago
After hours case study sessions - The Motley Fool
ML Fundamentals
After hours case study sessions - The Motley Fool
Saïd Business School, University of Oxford Beginner 5y ago
After hours case study sessions - Welsh Water
ML Fundamentals
After hours case study sessions - Welsh Water
Saïd Business School, University of Oxford Beginner 5y ago
After hours case study sessions - ENEL
ML Fundamentals
After hours case study sessions - ENEL
Saïd Business School, University of Oxford Beginner 5y ago
2.6 K-nearest neighbors in Python (L02: Nearest Neighbor Methods)
ML Fundamentals
2.6 K-nearest neighbors in Python (L02: Nearest Neighbor Methods)
Sebastian Raschka Beginner 5y ago
TensorFlow Tutorial 18 - Custom Dataset for Images
ML Fundamentals
TensorFlow Tutorial 18 - Custom Dataset for Images
Aladdin Persson Beginner 5y ago
The Oxford Economics of Mutuality Forum Day 2
ML Fundamentals
The Oxford Economics of Mutuality Forum Day 2
Saïd Business School, University of Oxford Beginner 5y ago
The Oxford Economics of Mutuality Forum Day 1
ML Fundamentals
The Oxford Economics of Mutuality Forum Day 1
Saïd Business School, University of Oxford Beginner 5y ago
Live- How To Create Deep Learning Model Using Tensorflow JS
ML Fundamentals
Live- How To Create Deep Learning Model Using Tensorflow JS
Krish Naik Beginner 5y ago
Anthony Goldbloom — How to Win Kaggle Competitions
ML Fundamentals
Anthony Goldbloom — How to Win Kaggle Competitions
Weights & Biases Beginner 5y ago
Leadership in Extraordinary Times: Reinventing business and society
ML Fundamentals
Leadership in Extraordinary Times: Reinventing business and society
Saïd Business School, University of Oxford Intermediate 5y ago
2.5 Improving k-nearest neighbors (L02: Nearest Neighbor Methods)
ML Fundamentals
2.5 Improving k-nearest neighbors (L02: Nearest Neighbor Methods)
Sebastian Raschka Beginner 5y ago
2.4 Big O of K-nearest neighbors (L02: Nearest Neighbor Methods)
ML Fundamentals
2.4 Big O of K-nearest neighbors (L02: Nearest Neighbor Methods)
Sebastian Raschka Beginner 5y ago
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