Rebelway - Intro To Machine Learning
English | Size: 8.96 GB
Genre: eLearning[/center]

THE ULTIMATE GUIDE TO MACHINE LEARNING AND AI DEVELOPMENT
by Felipe Pesantez
+35h MP4

SKILL LEVEL
Advanced

Explore AI essentials: theory, algorithms, and applications. Master Python and top libraries for real-world solutions. Gain confidence in training your own AI using Machine Learning

Instructor: Felipe Pesantez
A seasoned professional with experience spanning diverse industries, including VFX, game development, CG, and technology, serving in roles such as Technical Lead, AI Engineer, CG Generalist and Full Stack Developer.

This course provides a comprehensive introduction to the basics of Artificial Intelligence (AI) and Machine Learning (ML).

It begins with an overview of AI's historical evolution and its significance across various industries today. Participants will delve into fundamental ML algorithms and explore their applications in modern technologies. The course covers a wide range of ML architectures and models, including supervised and unsupervised learning, transfer learning, NLP, and computer vision. Advanced topics such as neural networks, transformers, and DCC tools like Houdini are also discussed.

Through practical exercises, students will gain hands-on experience in data science fundamentals, including mathematical concepts, Python programming for data manipulation, and performance evaluation using popular libraries like ScikitLearn, TensorFlow, and PyTorch.

The course concludes with a focus on deploying production-ready ML models and understanding the intricacies of machine learning and data pipelines.

WEEK 1
Intro to AI and AI subfields Standard Software and Tools for AI/ML development Standard Hardware for AI/ML IPython and Jupyter Notebook Derivatives, The chain rule Calculus concepts and linear Algebra Matrices and Bitwise operations

WEEK 2
SOLID principles for production code Memoization Intro to numpy GPU architectures Graph concepts Houdini and virtual environments Maze solver algorithm Intro to tensors Data structures

WEEK 3
Intro to Data Web scrapping Useful resources for engineers intro to MLOPS Intro to Pandas Intro to Matplotlib Intro to Seaborn Exploratory Data Analysis NOIR concepts for Data Data pipelines

WEEK 4
Intro to Machine Learning Supervised learning Linear Regression Training sets Intro to Scikit learn Multiple linear regression Evaluation metrics Logistic Regression Confusion Matrices ROC and AUC graphs Entropy Logistic regression in Houdini

WEEK 5
Bias and Variance Partial derivatives Gradient Descent Learning Rate Supervised and unsupervised learning Feature Engineering: scaling, normalization, standarization ML models exploration Naive Bayes Decision Trees Random Forest K nearest neighbours Support Vector Machines

WEEK 6
Vector stores, vector databases Unsupervised learning k means clustering Principal component analysis Recommender systems DBscan Fundamental concepts about: reducing loss Generalization Representation Regularization Ranking Efficiency Training a model Improving a model Advanced data concepts Houdini data visualization tools

WEEK 7
Intro to Deep Learning Neural networks math, theory and implementations Neural Network architectures Basic neural network perceptrons Multi layer perceptrons Custom neural network model Activation Functions Backpropagation Neural networks in Houdini Convolutional Neural Networks Building neural networks

WEEK 8
Intro to ML frameworks: Tensorflow Pytorch NN models with these libraries Cloud hubs Intro to production modeling Cloud services for ML A lot of experiments with Pytorch and Tensorflow Applied CUDA architectures for ML

WEEK 9
Advanced model architectures ML ops in practice System design ML in production Intro to Docker Package a model Intro to transfer learning Model fine tuning Mixed precision Quantization Hardware accelerations

WEEK 10
Intro to NLP NLP concepts and architectures Transformers intro and implementation intro to LLMs Fine tune LLms, applications like: Sentiment analysis Text translation Text autocomplete Text summarization Prompt engineering and in context learning Generative AI for NLPs First steps into Generative AI First steps into Computer Vision AI for Game development ML in Houdini

WHY LEARN AT REBELWAY?
We don't want to just teach you a single concept. We're your new partners in your VFX career. From 1-on-1 guidance to customized learning tracks, we are passionate about helping you get into the industry and progress in your career.

[align=center]

download скачать FROM RAPIDGATOR

https://rapidgator.net/file/ec27ca67957a0108c61a08f21bfd59d5/Rebelway-IntroToMachineLearning.part01.rar.html
https://rapidgator.net/file/9149bf2efb2731415edac1e5fbb6846b/Rebelway-IntroToMachineLearning.part02.rar.html
https://rapidgator.net/file/b3e08249ebc9a38cbfd08336ebed2d25/Rebelway-IntroToMachineLearning.part03.rar.html
https://rapidgator.net/file/48af814af73916fbef4382876cea1677/Rebelway-IntroToMachineLearning.part04.rar.html
https://rapidgator.net/file/5430d41c4f1ce36ab0a810e61334837e/Rebelway-IntroToMachineLearning.part05.rar.html
https://rapidgator.net/file/884e3a55af604ddac10566c8ba8a8eec/Rebelway-IntroToMachineLearning.part06.rar.html
https://rapidgator.net/file/59ba83495146a88e6f6b00323d56a59e/Rebelway-IntroToMachineLearning.part07.rar.html
https://rapidgator.net/file/e56450af9e059ea597b3c7410de56fcc/Rebelway-IntroToMachineLearning.part08.rar.html
https://rapidgator.net/file/9b4961e6c5d582b82c72051d1823f862/Rebelway-IntroToMachineLearning.part09.rar.html

download скачать FROM TURBOBIT

https://trbt.cc/7a7llqajqmd6/Rebelway-IntroToMachineLearning.part01.rar.html
https://trbt.cc/b6orjrrpivgl/Rebelway-IntroToMachineLearning.part02.rar.html
https://trbt.cc/krhhgy5lk91w/Rebelway-IntroToMachineLearning.part03.rar.html
https://trbt.cc/nmr9bjlty9tn/Rebelway-IntroToMachineLearning.part04.rar.html
https://trbt.cc/70z0w1l8cwnd/Rebelway-IntroToMachineLearning.part05.rar.html
https://trbt.cc/s61ve03m4als/Rebelway-IntroToMachineLearning.part06.rar.html
https://trbt.cc/jp59msmmih7n/Rebelway-IntroToMachineLearning.part07.rar.html
https://trbt.cc/hn0jpulgshla/Rebelway-IntroToMachineLearning.part08.rar.html
https://trbt.cc/9wrc9crk1why/Rebelway-IntroToMachineLearning.part09.rar.html

If any links die or problem unrar, send request to

https://forms.gle/e557HbjJ5vatekDV9