Restricted Boltzmann Machines (RBM) - A friendly introduction Serrano.Academy 2020-07-07 | CORRECTION: The score for BE is 6 and for BD is -1.A simple introduction to Restricted Boltzmann Machines (RBM) and their training process, using a real-life example with people and pets.Grokking Machine Learning Book: manning.com/books/grokking-machine-learning40% discount promo code: serranoytImages downloaded from www.freepik.comfreepik.com/free-photos-vectors/bannerfreepik.com/free-photos-vectors/dogfreepik.com/free-photos-vectors/peoplefreepik.com/free-photos-vectors/backgroundIntroduction: (0:00)Mystery: (0:17)Scores: (4:39)Probabilities: (7:30)Training (11:09)Contrastive Divergence: (13:37)Small Problem: (15:33)Gibbs Sampling: (16:33)Updating Weights: (20:56)Sampling Problems: (22:58)Independent Sampling: (24:27)Picking Random Samples with Conditions: (28:30)Picking Completely Random Samples: (31:05)Summary: (35:03)Conclusion: (35:57)
Reinforcement Learning with Human Feedback - How to train and fine-tune Transformer Models Serrano.Academy 2024-02-12 | Reinforcement Learning with Human Feedback (RLHF) is a method used for training Large Language Models (LLMs). In the heart of RLHF lies a very powerful reinforcement learning method called Proximal Policy Optimization. Learn about it in this simple video!This is the first one in a series of 3 videos dedicated to the reinforcement learning methods used for training LLMs.Full Playlist: youtube.com/playlist?list=PLs8w1Cdi-zvYviYYw_V3qe6SINReGF5M-Video 0 (Optional): Introduction to deep reinforcement learning youtube.com/watch?v=SgC6AZss478Video 1: Proximal Policy Optimization youtube.com/watch?v=TjHH_--7l8gVideo 2 (This one): Reinforcement Learning with Human FeedbackVideo 3 (Coming soon!): Deterministic Policy Optimization00:00 Introduction00:48 Intro to Reinforcement Learning (RL)02:47 Intro to Proximal Policy Optimization (PPO)4:17 Intro to Large Language Models (LLMs)6:50 Reinforcement Learning with Human Feedback (RLHF)13:08 Interpretation of the Neural Networks14:36 ConclusionGet the Grokking Machine Learning book!manning.com/books/grokking-machine-learningDiscount code (40%): serranoyt(Use the discount code on checkout)
Proximal Policy Optimization (PPO) - How to train Large Language Models Serrano.Academy 2024-01-24 | Reinforcement Learning with Human Feedback (RLHF) is a method used for training Large Language Models (LLMs). In the heart of RLHF lies a very powerful reinforcement learning method called Proximal Policy Optimization. Learn about it in this simple video!This is the first one in a series of 3 videos dedicated to the reinforcement learning methods used for training LLMs.Full Playlist: youtube.com/playlist?list=PLs8w1Cdi-zvYviYYw_V3qe6SINReGF5M-Video 0 (Optional): Introduction to deep reinforcement learning youtube.com/watch?v=SgC6AZss478Video 1 (This one): Proximal Policy OptimizationVideo 2: Reinforcement Learning with Human Feedback youtube.com/watch?v=Z_JUqJBpVOkVideo 3 (Coming soon!): Deterministic Policy Optimization00:00 Introduction01:25 Gridworld03:10 States and Action04:01 Values07:30 Policy09:39 Neural Networks16:14 Training the value neural network (Gain)22:50 Training the policy neural network (Surrogate Objective Function)33:38 Clipping the surrogate objective function36:49 SummaryGet the Grokking Machine Learning book!manning.com/books/grokking-machine-learningDiscount code (40%): serranoyt(Use the discount code on checkout)
The Attention Mechanism for Large Language Models #AI #llm #attention Serrano.Academy 2023-12-19 | This is how the attention mechanism works for large language models.For more information, follow me, and check out https://llm.university
Stable Diffusion - How to build amazing images with AI Serrano.Academy 2023-12-12 | This video is about Stable Diffusion, the AI method to build amazing images from a prompt.If you like this material, check out LLM University from Cohere!https://llm.universityGet the Grokking Machine Learning book!https://manning.com/books/grokking-ma...Discount code (40%): serranoyt(Use the discount code on checkout)0:00 Introduction1:27 How does Stable Diffusion work?2:55 Embeddings12:55 Diffusion Model15:00 Numerical Example17:39 Embedding Example19:37 Image Generator Example28:37 The Sigmoid Function34:39 Diffusion Model Example41:03 Summary
How Large Language Models are Shaping the Future Serrano.Academy 2023-11-13 | Livestream with FourthBrain and Coherefourthbrain.ai
What are Transformer Models and how do they work? Serrano.Academy 2023-11-02 | This is the last of a series of 3 videos where we demystify Transformer models and explain them with visuals and friendly examples.Video 1: The attention mechanism in high level youtube.com/watch?v=OxCpWwDCDFQVideo 2: The attention mechanism with math youtube.com/watch?v=UPtG_38Oq8oVideo 3 (This one): Transformer modelsIf you like this material, check out LLM University from Cohere!https://llm.universityGet the Grokking Machine Learning book!manning.com/books/grokking-machine-learningDiscount code (40%): serranoyt(Use the discount code on checkout)00:00 Introduction01:50 What is a transformer?04:35 Generating one word at a time08:59 Sentiment Analysis13:05 Neural Networks18:18 Tokenization19:12 Embeddings25:06 Positional encoding27:54 Attention32:29 Softmax35:48 Architecture of a Transformer39:00 Fine-tuning42:20 Conclusion
The math behind Attention: Keys, Queries, and Values matrices Serrano.Academy 2023-08-31 | This is the second of a series of 3 videos where we demystify Transformer models and explain them with visuals and friendly examples.Video 1: The attention mechanism in high level youtu.be/OxCpWwDCDFQVideo 2: The attention mechanism with math (this one)Video 3: Transformer models youtube.com/watch?v=qaWMOYf4ri8If you like this material, check out LLM University from Cohere!https://llm.university00:00 Introduction01:18 Recap: Embeddings and Context04:46 Similarity11:09 Attention20:46 The Keys and Queries Matrices25:02 The Values Matrix28:41 Self and Multi-head attention33:54: Conclusion
The Attention Mechanism in Large Language Models Serrano.Academy 2023-07-25 | Attention mechanisms are crucial to the huge boom LLMs have recently had.In this video you'll see a friendly pictorial explanation of how attention mechanisms work in Large Language Models.This is the first of a series of three videos on Transformer models.Video 1: The attention mechanism in high level (this one)Video 2: The attention mechanism with math: youtube.com/watch?v=UPtG_38Oq8oVideo 3: Transformer models youtube.com/watch?v=qaWMOYf4ri8Learn more in LLM University! https://llm.university
The Binomial and Poisson Distributions Serrano.Academy 2022-11-08 | If on average, 3 people enter a store every hour, what is the probability that over the next hour, 5 people will enter the store? The answer lies in the Poisson distribution. In this video you'll learn this distribution, starting from a much simpler one, the Binomial distribution.Euler number video: youtube.com/watch?v=oikl9FCISqUGrokking Machine Learning book:bit.ly/grokkingML40% discount code: serranoyt
Eulers number, derivatives, and the bank at the end of the universe Serrano.Academy 2022-10-14 | Euler's number, e, is defined as a limit. The function e to the x is (up to multiplying by a constant) the only function that is its own derivative. How are these two related? In this video you'll find an explanation for this phenomenon using banking interest rates, and a very particular bank, located at the end of the universe.
Decision trees - A friendly introduction Serrano.Academy 2022-09-30 | A video about decision trees, and how to train them on a simple example.Accompanying blog post: medium.com/@luis.serrano/splitting-data-by-asking-questions-decision-trees-74afed9cd849For a code implementation, check out this repo:github.com/luisguiserrano/manning/tree/master/Chapter_9_Decision_TreesHelper videos:- Gini index: youtube.com/watch?v=u4IxOk2ijSs- Entropy and information gain: youtube.com/watch?v=9r7FIXEAGvs- Machine learning error and metrics: youtube.com/watch?v=aDW44NPhNw0Grokking Machine Learning book:www.manning.com/books/grokking-machine-learning40% discount code: serranoyt
Thank you for 100K subscribers! I’m planning tons of new content coming soon, so excited! Serrano.Academy 2022-09-20 | ...
How do you minimize a function when you cant take derivatives? CMA-ES and PSO Serrano.Academy 2022-09-18 | What happens when you want to minimize a function, say, the error function in order to train a machine learning model, but the function has no derivatives, or they are very hard to calculate? You can use Gradient-Free optimizers. In this video, I show you two of them:- CMA-ES (Covariance matrix adaptation strategy)- PSO (Particle swarm optimization)This video is a sequel to "What is Quantum Machine Learning"youtube.com/watch?v=j0DV_75LkFoand also part of the blog post:zapatacomputing.com/why-generative-modeling-is-leading-the-race-to-practical-quantum-advantageIntroduction: (0:00)CMA-ES: (1:23)PSO (9:17)Conclusion: (14:00)
What is Quantum Machine Learning? Serrano.Academy 2022-09-07 | This video is a friendly introduction to quantum computing and machine learning. No knowledge required.This video is part of a blog post with Zapata computing:zapatacomputing.com/why-generative-modeling-is-leading-the-race-to-practical-quantum-advantageQCBM Paper: nature.com/articles/s41534-019-0157-8Video 2: Non-gradient optimizers, CMA-ES and PSO youtube.com/watch?v=oi5GQvJzy5IVideo 3: The mathematics behind qubits (coming soon!)Introduction: (0:00)Quantum and classical machine learning: (1.46)Probability: (5:12)The qubit: (8:23)Quantum measurement: (12:08)Qubits as generative models: (13:42)Measuring with different bases: (14:15)Quantum gates: (22:27)Quantum entanglement: (25:23)Entanglement gates: (35:31)Quantum machine learning (36:04)Training models: (39:50)Loss functions and KL divergence: (47:55)Labs, code, etc: (49:59)
Denoising and Variational Autoencoders Serrano.Academy 2022-01-15 | A video about autoencoders, a very powerful generative model. The video includes:Intro: (0:25)Dimensionality reduction (3:35)Denoising autoencoders (10:50)Variational autoencoders (18:15)Training autoencoders (23:36)Github repo: www.github.com/luisguiserrano/autoencodersRecommended videos:Generative adversarial networks: youtube.com/watch?v=8L11aMN5KY8Restricted Boltzmann machines: youtube.com/watch?v=Fkw0_aAtwIwMatrix factorization: youtube.com/watch?v=ZspR5PZemcsSingular value decomposition: youtube.com/watch?v=DG7YTlGnCEoNeural networks: youtube.com/watch?v=BR9h47JtqywConvolutional neural networks: youtube.com/watch?v=2-Ol7ZB0MmURecurrent neural networks: youtube.com/watch?v=2-Ol7ZB0MmULogistic regression: youtube.com/watch?v=jbluHIgBmBoShannon entropy: youtube.com/watch?v=9r7FIXEAGvsBook by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML40% discount code: serranoyt0:00 Introduction0:13 Generative models3:03 Variational autoencoders3:45 Dataset of images10:16 Denoising autoencoders10:27 Linear methods10:53 A friendly introduction to deep learning and neural networks11:58 Mapping the real numbers to the interval (0,1)12:23 Sigmoid function12:41 Perceptron15:02 Correct noise18:20 Autoencoders as generators20:16 Latent space23:41 Training a neural network - loss function25:18 Training an autoencoder25:32 Training autoencoders25:46 Reconstruction loss (Mean squared error)26:31 Reconstruction loss (log-loss)27:11 Training a variational auto encoderCorrection: At 30:05, the number in the middle of the red graph should be 0.4, not 0.3.
Eigenvectors and Generalized Eigenspaces Serrano.Academy 2021-10-17 | A video about the nice geometric intuitions behind eigenvectors and eigenvalues, and their generalized counterparts, generalized eigenvectors and generalized eigenvalues.Announcement: Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML40% discount code: serranoyt
Thompson sampling, one armed bandits, and the Beta distribution Serrano.Academy 2021-07-06 | Thompson sampling is a strategy to explore a space while exploiting the wins. In this video we see an application to winning at a game of one-armed bandits.Beta distributions video: youtube.com/watch?v=juF3r12nM5ATom Denton blog: inventingsituations.netIcons made by Freepik from flaticon.comAnnouncement: Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML40% discount code: serranoyt
The Beta distribution in 12 minutes! Serrano.Academy 2021-06-13 | This video is about the Beta distribution, a very important distribution in probability, statistics, and machine learning. It is explained using a simple example involving flipping coins.One armed bandits video: youtube.com/watch?v=nkyDGGQ5h60Useful links: Bayes theorem video: youtube.com/watch?v=Q8l0Vip5YUwBeta distribution (3blue1brown)youtube.com/watch?v=ZA4JkHKZM50http://youtube.com/watch?v=8idr1WZ1A7QGrokking Machine Learning Book: manning.com/books/grokking-machine-learning40% discount promo code: serranoytMachine Learning Testing and Error Metricshttps://www.youtube.com/watch?v=aDW44...Announcement: Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML40% discount code: serranoyt
A friendly introduction to deep reinforcement learning, Q-networks and policy gradients Serrano.Academy 2021-05-24 | A video about reinforcement learning, Q-networks, and policy gradients, explained in a friendly tone with examples and figures.Introduction to neural networks: youtube.com/watch?v=BR9h47JtqywIntroduction: (0:00)Markov decision processes (MDP): (1:09)Rewards: (5:39)Discount factor: (8:51)Bellman equation: (10:48)Solving the Bellman equation: (12:43)Deterministic vs stochastic processes: (16:29)Neural networks: (19:15)Value neural networks: (21:44)Policy neural networks: (25:44)Training the policy neural network: (30:46)Conclusion: (34:53)Announcement: Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML40% discount code: serranoyt
The Gini Impurity Index explained in 8 minutes! Serrano.Academy 2021-02-28 | The Gini Impurity Index is a measure of the diversity in a dataset. In this short video you'll learn a very simple way to calculate it using probabilities.Announcement: Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML40% discount code: serranoyt
The covariance matrix Serrano.Academy 2020-12-29 | CORRECTION: At 10:56 we shouldn't divide by 4 to get the covariance, we should divide by 1+1+1+1/3, which is 10/3. That means the covariances are the following:Var(x) = 1.056Var(y) = 0.864Cov(x,y) = 0.768(Thank you Shivkumar Pippal!)Mean, variance, covariance, and the covariance matrix for a dataset and a weighted dataset.Announcement: Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML40% discount code: serranoyt0:00 Introduction0:09 The covariance matrix2:22 Average3:23 X-variance5:06 Problem: Same variances7:59 Formulas10:30 Center points
Gaussian Mixture Models Serrano.Academy 2020-12-28 | Covariance matrix video: youtu.be/WBlnwvjfMtQClustering video: youtu.be/QXOkPvFM6NUA friendly description of Gaussian mixture models, a very useful soft clustering method.Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML40% discount code: serranoyt0:00 Introduction0:13 Clustering applications1:56 Hard clustering - soft clustering3:36 Step 1: Colouring points6:10 Step 2: Fitting a Gaussian10:33 Gaussian Mixture Models (GMM)
Singular Value Decomposition (SVD) and Image Compression Serrano.Academy 2020-09-08 | Github repo: http://www.github.com/luisguiserrano/singular_value_decompositionGrokking Machine Learning Book:manning.com/books/grokking-machine-learning40% discount promo code: serranoytIn this video, we learn a very useful matrix trick called singular value decomposition (SVD), in which we express a matrix as a product of two rotation matrices and one scaling matrix.We also show a very interesting application to image compression.Similar videos:Principal component analysis (PCA): youtube.com/watch?v=g-Hb26agBFgMatrix factorization and Netflix recommendations: youtube.com/watch?v=ZspR5PZemcsIntroduction: (0:00)Transformations: (0:50)A puzzle: (1:27)A harder puzzle: (2:21)Linear transformations: (3:50)Dimensionality reduction: (10:50)Image compression: (23:57)
ROC (Receiver Operating Characteristic) Curve in 10 minutes! Serrano.Academy 2020-07-15 | The ROC curve is a very effective way to make decisions on your machine learning model based on how important is it to not allow false positives or false negatives. In this video we introduce the ROC curve with a simple example.Grokking Machine Learning Book: manning.com/books/grokking-machine-learning40% discount promo code: serranoytMachine Learning Testing and Error Metricsyoutube.com/watch?v=aDW44NPhNw0
A Friendly Introduction to Generative Adversarial Networks (GANs) Serrano.Academy 2020-05-05 | Code: http://www.github.com/luisguiserrano/gansWhat is the simplest pair of GANs one can build? In this video (with code included) we build a pair of ONE-layer GANs which will generate some simple 2x2 images (faces).Grokking Machine Learning Book: manning.com/books/grokking-machine-learning40% discount promo code: serranoytGANs from Scratch 1: A deep introduction. With code in PyTorch and TensorFlow: medium.com/ai-society/gans-from-scratch-1-a-deep-introduction-with-code-in-pytorch-and-tensorflow-cb03cdcdba0f
You are much better at math than you think Serrano.Academy 2020-04-20 | In this video, we see two math problems that require the exact same logic to solve. However, one is very easy and one is very hard. Why?For information on my book "Grokking Machine Learning": manning.com/books/grokking-machine-learningDiscount code (40%): serranoyt
Live chat with Luis Serrano! Serrano.Academy 2020-03-27 | For more info: http://serrano.academyLive stream celebrating 50K subscribers and 3M views.Friday, March 27, 11am EST
Training Latent Dirichlet Allocation: Gibbs Sampling (Part 2 of 2) Serrano.Academy 2020-03-22 | This is the second of a series of two videos on Latent Dirichlet Allocation (LDA), a powerful technique to sort documents into topics. In this video, we learn to train an LDA model using Gibbs sampling.The first video is here: youtube.com/watch?v=T05t-SqKArY
Latent Dirichlet Allocation (Part 1 of 2) Serrano.Academy 2020-03-19 | Latent Dirichlet Allocation is a powerful machine learning technique used to sort documents by topic. Learn all about it in this video!This is part 1 of a 2 video series.Video 2: youtube.com/watch?v=BaM1uiCpj_EFor information on my book "Grokking Machine Learning": manning.com/books/grokking-machine-learningDiscount code (40%): serranoyt0:00 Introduction0:11 The problem3:47 Machine that generates documents5:13 Blueprint for the LDA machine5:49 Probability of a document9:22 Quiz: Which one for topics?11:06 A distribution of distributions11:30 More topics? More dimensions12:20 In More dimensions12:55 Quiz: Where to put the topics?14:05 Two Dirichlet distributions14:22 Latent Dirichlet Allocation22:05 Best settings on the machine22:37 The winning arrangements25:28 Series of two videos25:48 Acknowledgements26:30 Thank you!
Book by Luis Serrano - Grokking Machine Learning (40% off promo code) Serrano.Academy 2019-07-31 | You can find the book here: manning.com/books/grokking-machine-learning40% discount promo code: serranoytGrokking Machine Learning will give you the tools to learn and apply machine learning, with easy to follow examples and exercises. Check it out!
Serrano.Academy - The art of understanding Serrano.Academy 2019-02-24 | Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML40% Discount code: serranoytWelcome! I believe that math concepts can be learned through simple explanations, analogies and easy-to-understand visualizations. I am passionate about teaching math concepts in relatable, friendly and simple ways. My videos are designed so that beginners can clearly learn new concepts while experts can see them under a new light. I hope you enjoy the channel and please drop me a line if you have any comments or suggestions. Twitter: @luis_likes_math.
Naive Bayes classifier: A friendly approach Serrano.Academy 2019-02-11 | Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML40% discount code: serranoytA visual description of Bayes' Theorem and the Naive Bayes algorithm, and an application to spam detection.No previous knowledge is needed, aside from knowing how to multiply and divide, a visual mind and a desire to learn.For a code implementation, check out this repo:github.com/luisguiserrano/manning/tree/master/Chapter_8_Naive_Bayes0:00 Introduction0:39 Spam Detector4:59 Problem10:34 Naive Bayes Classifier17:00 Bayes Theorem
Math and OCD - My story with the Thue-Morse sequence Serrano.Academy 2019-02-10 | Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML40% discount code: serranoytThe story of how I once stumbled upon a famous sequence, the Thue-Morse sequence, while walking on the sidewalks as a child,, and the subsequent tale of how this sequence satisfies amazing properties regarding sums of powers of integers.
Principal Component Analysis (PCA) Serrano.Academy 2019-02-10 | Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML40% discount code: serranoytA conceptual description of principal component analysis, including:- variance and covariance- eigenvectors and eigenvalues- applicationsAs usual, very little formulas, lots and lots of pictures!0:00 Introduction0:46 Taking a picture1:13 Dimensionality Reduction2:02 Housing Data5:09 Mean7:46 Variance?12:47 Covariance matrix13:58 Linear Transformations18:12 Eigenstuff19:16 Eigenvalues19:53 Eigenvectors20:51 Principal Component Analysis (PCA)26:05 Thank you!
Clustering: K-means and Hierarchical Serrano.Academy 2019-01-28 | Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML40% discount code: serranoytA friendly description of K-means clustering and hierarchical clustering with simple examples. No math is needed, only a visual mind and a will to learn.0:00 Introduction0:24 Customer Segmentation2:43 Clustering goal: group data7:22 K-Means Clustering7:47 Elbow method13:17 Dendrogram15:58 Applications
Support Vector Machines (SVMs): A friendly introduction Serrano.Academy 2019-01-27 | For a code implementation, check out this repo:github.com/luisguiserrano/manning/tree/master/Chapter_11_Support_Vector_MachinesAnnouncement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML40% discount code: serranoytAn introduction to support vector machines (SVMs) that requires very little math (no calculus or linear algebra), only a visual mind.This is the third of a series of three videos.- Linear Regression: youtube.com/watch?v=wYPUhge9w5c- Logistic Regression: youtube.com/watch?v=jbluHIgBmBo0:00 Introduction1:42 Classification goal: split data3:14 Perceptron algorithm6:00 Split data - separate lines7:05 How to separate lines?12:01 Expanding rate18:19 Perceptron Error19:26 SVM Classification Error20:34 Margin Error25:13 Challenge - Gradient Descent27:25 Which line is better?28:24 The C parameter30:16 Series of 3 videos30:30 Thank you!
Logistic Regression and the Perceptron Algorithm: A friendly introduction Serrano.Academy 2019-01-01 | For a code implementation, check out these repos:github.com/luisguiserrano/manning/tree/master/Chapter_5_Perceptron_Algorithmgithub.com/luisguiserrano/manning/tree/master/Chapter_6_Logistic_RegressionAnnouncement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML40% discount code: serranoytAn introduction to logistic regression and the perceptron algorithm that requires very little math (no calculus or linear algebra), only a visual mind.0:00 Introduction0:08 Series of 3 videos0:41 E-mail spam classifier7:19 Classification goal: split data11:36 How to move a line12:21 Rotating and translating18:47 Perceptron Trick23:20 Correctly and incorrectly classified points24:20 Positive and negative regions27:18 Perceptron Error29:40 Gradient Descent34:36 A friendly introduction to deep learning and neural networks37:48 Activation function (sigmoid)38:31 Log-Loss Error41:37 Perceptron Algorithm42:45 Logistic regression algorithm44:48 Thank you!
Linear Regression: A friendly introduction Serrano.Academy 2018-12-23 | For a code implementation, check out this repo:github.com/luisguiserrano/manning/tree/master/Chapter_3_Linear_RegressionAnnouncement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML40% discount code: serranoytAn introduction to linear regression that requires very little math (no calculus or linear algebra), only a visual mind.0:00 Introduction0:44 Housing Prices6:08 Changing the slope - Rotation6:34 Changing the y-intercept - Translation7:01 How to move a line9:16 Moving a line11:18 Linear regression algorithm14:27 Positive and negative distance19:34 One rule to rule them all26:35 Square error29:02 Absolute error29:52 Absolute trick30:26 Series of 3 videos
How does Netflix recommend movies? Matrix Factorization Serrano.Academy 2018-09-08 | Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML40% discount code: serranoytA friendly introduction to recommender systems with matrix factorization and how it's used to recommend movies in Netflix.Accompanying Notebook by Yannet Interian: github.com/yanneta/pytorch-tutorials/blob/master/collaborative-filtering-nn.ipynbGradient descent video mentioned at the end: youtube.com/watch?v=BR9h47JtqywWhat is Machine Learning: (0:05)How do recommendations work - Netflix example (0:40)How to figure out dependencies - Matrix Factorization (7:35)Matrix Factorization Benefits 20:38 How to find the right factorization (16:03)Error Function for factorization (26:35)How to use the factors to predict ratings - Inference (30:14)(Thanks for the timings, Samarth Piano Posts!)
Deep Neural Networks - USF Data Science Seminar by Luis Serrano Serrano.Academy 2018-04-17 | Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML40% discount code: serranoytA Friendly Introduction to Neural NetworksThanks to the University of San Francisco Data Science Seminar Series for the video, and to Professor Yannet Interian for the invitation.⭐ Kite is a free AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you’re typing. I've been using Kite for 6 months and I love it! kite.com/get-kite/?utm_medium=referral&utm_source=youtube&utm_campaign=luisserrano&utm_content=description-only
A friendly introduction to Bayes Theorem and Hidden Markov Models Serrano.Academy 2018-03-27 | Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML40% discount code: serranoytA friendly introduction to Bayes Theorem and Hidden Markov Models, with simple examples. No background knowledge needed, except basic probability.Accompanying notebook:github.com/luisguiserrano/hmm
Shannon Entropy and Information Gain Serrano.Academy 2017-11-04 | Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML40% discount code: serranoytAccompanying blog post: medium.com/p/5810d35d54b40:00 Shannon Entropy and Information Gain2:22 What ball will we pick?4:33 Quiz5:06 Question5:14 Game7:17 Probability of Winning7:45 Products11:00 What if there are more classes?12:34 Sequence 213:44 Sequence 314:57 Naive Approach15:34 Sequence 119:44 General Formula
A friendly introduction to Recurrent Neural Networks Serrano.Academy 2017-08-18 | Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML40% discount code: serranoytA friendly explanation of how computers predict and generate sequences, based on Recurrent Neural Networks.For a brush up on Neural Networks, check out this video: youtube.com/watch?v=BR9h47Jtqyw0:00 A friendly introduction to Recurrent Neural Networks1:38 A friendly introduction to Deep Learning and Neural Networks2:11 Vectors5:22 Perfect Roommate7:13 Simple Neural Network7:54 Simple (Recurrent) Neural Network10:03 Cooking Schedule11:47 More Complicated RNN12:06 Food13:31 Weather14:38 Add16:02 Merge20:53 Start with random weights21:05 Use Gradient Descent21:41 New Error Function
A friendly introduction to Convolutional Neural Networks and Image Recognition Serrano.Academy 2017-03-21 | Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML40% discount code: serranoytA friendly explanation of how computer recognize images, based on Convolutional Neural Networks.All the math required is knowing how to add and subtract 1's. (Bonus if you know calculus, but not needed.)For a brush up on Neural Networks, check out this video: youtube.com/watch?v=BR9h47JtqywFor a code implementation, check out this repo:github.com/luisguiserrano/manning/tree/master/Chapter_10_Neural_Networks0:00 Introduction0:22 Simple World1:05 Keyboard1:33 Image recognition software4:39 Image Recognition Classifier6:12 Artificial Intelligence8:47 Gradient Descent10:26 Slightly More Complex World11:47 Previous Knowledge24:27 Convolutional Neural Network28:27 Advanced World
Machine Learning: Testing and Error Metrics Serrano.Academy 2017-03-16 | Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML40% discount code: serranoytA friendly journey into the process of evaluating and improving machine learning models.- Training, Testing- Evaluation Metrics: Accuracy, Precision, Recall, F1 Score- Types of Errors: Overfitting and Underfitting- Cross Validation and K-fold Cross Validation- Model Evaluation Graphs- Grid SearchFor a code implementation, check out this repo:github.com/luisguiserrano/manning/tree/master/Chapter_4_Testing_Overfitting_Underfitting0:00 Introduction0:37 Which model is better1:31 Why Testing?3:27 Golden Rule # 14:21 How do we not 'lose' the training data?4:38 K-Fold Cross Validation5:20 Randomizing in Cross Validation5:38 Evaluation Metrics7:53 Medical Model8:05 Spam Classifier Model9:25 Confusion Matrix Diagnosis11:50 Accuracy19:47 Precision and Recall20:54 Credit Card Fraud22:36 Harmonic mean24:08 F1 Score27:16 Types of Errors27:56 Classification30:03 Error due to variance (overfitting)30:18 Error due to bias (underfitting)31:45 Tradeoff37:55 Solution: Cross Validation Testing39:16 Training a Logistic Regression Model40:04 Training a Decision Tree40:49 Training a Support Vector Machine41:14 Grid Search Cross Validation41:59 Parameters and Hyperparameters42:56 How to solve a problem43:20 How to use machine learning44:04 Thank you!
A friendly introduction to Deep Learning and Neural Networks Serrano.Academy 2016-12-27 | A friendly introduction to neural networks and deep learning.For a code implementation, check out this repogithub.com/luisguiserrano/manning/tree/master/Chapter_10_Neural_NetworksThis is a follow up to the Introduction to Machine Learning video.youtube.com/watch?v=IpGxLWOIZy4Note: In this tutorial I use natural logarithms. If you used logarithms base 10, you may get different answers that I got, although at the end it doesn't matter, since using a different base for the logarithm just scales all the logarithms by a constant.Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML40% discount code: serranoyt00:00 What is machine learning?2:22 Gradient descent 5:07 Neural network 10:11 logistic regression 12:28 Probability 14:57 Activation Function 19:56 Error function 22:34 Node(Neuron)24:07 Non-linear regions 31:22 Deep neural network
A Friendly Introduction to Machine Learning Serrano.Academy 2016-09-09 | Grokking Machine Learning Book: manning.com/books/grokking-machine-learning40% discount promo code: serranoytA friendly introduction to the main algorithms of Machine Learning with examples.No previous knowledge required.What is Machine Learning: (0:05)Linear Regression: (2:25)Gradient Descent: (4:10)Naive Bayes: (6:20)Decision Trees: (10:35)Logistic Regression: (13:20)Neural networks: (17:00)Support Vector Machines: (18:50)Kernel trick: (20:05)K-Means clustering: (26:00)Hierarchical Clustering: (28:30)Summary: (29:40)(Thanks to Nick Kartha for breaking down the topics!)If you like this, there's an extended version in this playlist:youtube.com/playlist?list=PLAwxTw4SYaPknYBrOQx6UCyq67kprqXe3
Bayes theorem, false positives, and why Im terrified of going to the doctor Serrano.Academy 2016-05-09 | Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML40% discount code: serranoytAn interesting application of Bayes' Theorem.⭐ Kite is a free AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you’re typing. I've been using Kite for 6 months and I love it! kite.com/get-kite/?utm_medium=referral&utm_source=youtube&utm_campaign=luisserrano&utm_content=description-only
Geometric series and my Irish heritage Serrano.Academy 2016-05-09 | Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML40% discount code: serranoytA fun introduction to geometric series.⭐ Kite is a free AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you’re typing. I've been using Kite for 6 months and I love it! kite.com/get-kite/?utm_medium=referral&utm_source=youtube&utm_campaign=luisserrano&utm_content=description-only
