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Advanced Machine Learning Models with Google Colab

21 heures

Optimizing AI Models for Edge Devices

14 heures

Building AI Solutions on the Edge

14 heures

Edge AI with TensorFlow Lite

14 heures

AI-Powered Autonomous Systems

21 heures

AI-Enhanced Yield Management in Semiconductor Production

14 heures

Predictive Maintenance with AI in Semiconductor Manufacturing

14 heures

Advanced AI Techniques for Semiconductor Design Automation

21 heures

AI-Driven Process Optimization in Chip Fabrication

14 heures

Introduction to AI in Semiconductor Manufacturing

14 heures

AI-Powered Cybersecurity: Advanced Threat Detection & Response

28 heures

Machine Learning with Google Colab

14 heures

Advanced Stable Diffusion: Deep Learning for Text-to-Image Generation

21 heures

AI-Powered Cybersecurity: Threat Detection & Response

21 heures

LightGBM for Machine Learning

21 heures

Introduction to Stable Diffusion for Text-to-Image Generation

21 heures

AlphaFold

7 heures

Machine Learning with Python – 2 Days

14 heures

Machine Learning with Python – 4 Days

28 heures

Algebra for Machine Learning

14 heures

Applied Machine Learning

14 heures

Machine Learning

21 heures

Dataiku for Enterprise AI and Machine Learning

21 heures

Feature Engineering for Machine Learning

14 heures

Fundamentals of Artificial Intelligence (AI) and Machine Learning

28 heures

Machine Learning Algorithms in Julia

21 heures

Mathematica for Machine Learning

14 heures

Machine Learning for Banking (with Python)

21 heures

Machine Learning and Big Data

7 heures

Machine Learning Concepts for Entrepreneurs and Managers

21 heures

Machine Learning for Finance (with Python)

21 heures

Machine Learning Fundamentals with Scala and Apache Spark

14 heures

Introduction to Machine Learning

7 heures

Machine Learning on iOS

14 heures

Machine Learning in business – AI/Robotics

14 heures

Machine Learning for Robotics

21 heures

XGBoost for Gradient Boosting

14 heures

DataRobot

7 heures

H2O AutoML

14 heures

AutoML with Auto-sklearn

14 heures

AutoML with Auto-Keras

14 heures

TensorFlow Lite for Embedded Linux

21 heures

TensorFlow Lite for Android

21 heures

TensorFlow Lite for iOS

21 heures

Tensorflow Lite for Microcontrollers

21 heures

Deep Learning Neural Networks with Chainer

14 heures

Distributed Deep Learning with Horovod

7 heures

Accelerating Deep Learning with FPGA and OpenVINO

35 heures

Building Deep Learning Models with Apache MXNet

21 heures

Deep Learning with Keras

21 heures

Machine Learning with Python and Pandas

14 heures

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