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GRU, LSTM, + more modern deep learning, machine learning, and data science for sequences
*** NOW IN TENSORFLOW 2 and PYTHON 3 ***
Learn about one of the most powerful Deep Learning architectures yet!
The RecurrentNeural Network (RNN) has been used to obtain state-of-the-art results in sequence...
Computer Vision and Data Science and Machine Learning combined! In Theano and TensorFlow
*** NOW IN TENSORFLOW 2 and PYTHON 3 ***
Learn about one of the most powerful Deep Learning architectures yet!
The Convolutional Neural Network (CNN) has been used to obtain state-of-the-art results in...
Autoencoders + Restricted Boltzmann Machines for DeepNeuralNetworksin Theano, + t-SNE and PCA
This course is the next logical step in my deep learning, data science, and machine learning series. I’ve done a lot of courses about deep learning, and I just released a course about unsupervised...
A guide for writing your own neural network inPython and Numpy, and how to do it in Google's TensorFlow.
This course will get you started in building your FIRST artificial neural network using deep learning techniques. Following my previous course on logistic regression, we take this basic...
Take deep learning to the next level with SGD, Nesterov momentum, RMSprop, Theano, TensorFlow, and using the GPU on AWS.
This course continues where my first course, Deep Learning inPython, left off. You already know how to build an artificial neural network inPython, and you have a...
Data science techniques for professionals and students - learn the theory behind logistic regression and code inPython
This course is a lead-in to deep learning and neuralnetworks - it covers a popular and fundamental technique used in machine learning, data science and statistics: logistic...
Data science: Learn linear regression from scratch and build your own working program inPython for data analysis.
This course teaches you about one popular technique used in machine learning, data science and statistics: linear regression. We cover the theory from the ground up: derivation of...
Complete guide on deriving and implementing word2vec, GLoVe, word embeddings, and sentiment analysis with recursive nets
In this course we are going to look at NLP (natural language processing) with deep learning.
Previously, you learned about some of the basics, like how many NLP problems are...
A-Z Guide to Implementing Classic Machine Learning Algorithms From Scratch and with Sci-Kit Learn
In recent years, we've seen a resurgence in AI, or artificial intelligence, and machine learning.
Machine learning has led to some amazing results, like being able to analyze medical images and...
Data Science, Machine Learning, and Data Analytics Techniques for Marketing, Digital Media, Online Advertising, and more
This course is all about A/B testing.
A/B testing is used everywhere. Marketing, retail, newsfeeds, online advertising, and more.
A/B testing is all about comparing things.
If...
Data science techniques for pattern recognition, data mining, k-means clustering, and hierarchical clustering, and KDE.
Cluster analysis is a staple of unsupervised machine learning and data science.
It is very useful for data mining and big data because it automatically finds patterns in the...
HMMs for stock price analysis, language modeling, web analytics, biology, and PageRank.
The Hidden Markov Model or HMM is all about learning sequences.
A lot of the data that would be very useful for us to model is in sequences. Stock prices are sequences of prices. Language is a sequence of...
Ensemble Methods: Boosting, Bagging, Boostrap, and Statistical Machine Learning for Data Science inPythonIn recent years, we've seen a resurgence in AI, or artificial intelligence, and machine learning.
Machine learning has led to some amazing results, like being able to analyze medical images...
A-Z guide to practical NLP: spam detection, sentiment analysis, article spinners, and latent semantic analysis.
In this course you will build MULTIPLE practical systems using natural language processing, or NLP - the branch of machine learning and data science that deals with text and speech...
Здравствуйте, друзья!
Добро пожаловать в раздел "Машинное обучение: Обработка естественного языка на Python (версия 2).
Это обширный курс "4 в 1", включающий в себя:
Векторные модели и методы предварительной обработки текста
Вероятностные модели и марковские модели
Методы машинного обучения...
Please note: Only the VIP version of the course covers Face Swap / Face Swapping. Contact the instructor if you are unsure of what that means!
Unleash Your Creative Potential with DeepFakes Mastery
Unlock the captivating power of DeepFakes and embark on a groundbreaking journey where reality and...
Нейронные сети для компьютерного зрения, прогнозирования временных рядов, НЛП, GANs, Reinforcement Learning и многое другое!
Требования:
Уметь писать код на Python и Numpy
Для теоретической части (по выбору) - понимание производных и вероятности
Описание:
Вы когда-нибудь задумывались...
Dominate data analytics, data science, and big data
It is becoming ever more important that companies make data-driven decisions.
With big data and data science on the rise, we have more data than we know what to do with.
One of the basic languages of data analytics is SQL, which is used for...
NeuralNetworks for Computer Vision, Time Series Forecasting, NLP, GANs, Reinforcement Learning, and More!
Artificial NeuralNetworks (ANNs) / DeepNeuralNetworks (DNNs)
Predict Stock Returns
Time Series Forecasting
Computer Vision
How to build a Deep Reinforcement Learning Stock Trading Bot...
Hands-On Graph NeuralNetworks Using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch (Maxime Labonne)
Графовые нейронные сети с помощью Python: Практические методы и архитектуры для создания мощных приложений на основе графов и...