Результаты поиска по запросу: Competitive Programming in Python (Christoph Durr)

Competitive Programming in Python. 128 Algorithms to Develop Your Coding Skills Описание: Want to kill it at your job interview in the tech industry? Want to win that coding competition? Learn all the algorithmic techniques and programming skills you need from two experienced coaches, problem...

Программирование на Python для начинающих. Полный курс на хинди This course will help you learn the Python programming language and its core concepts in hindi Этот курс поможет вам изучить язык программирования Python и его основные концепции на хинди Вы научитесь: Углубленное изучение...

Advanced Perspective of Classes and Object-Oriented Programming in Python В этом курсе вы обучитесь продвинутым аспектам объектно-ориентированного программирования на языке Python (3.9). Оплата за год. Мы рассмотрим такие темы, как: Объектно-ориентированное программирование в Python...

Web Developer Bootcamp with Flask and Python in 2023 (B.Gerald) Welcome to the Web Developer Bootcamp with Flask and Python! In this course, you'll learn how to build and deploy dynamic websites using Python, Flask, MongoDB, HTML, and CSS! If you want to share your projects online and become a...

Autoencoders + Restricted Boltzmann Machines for Deep Neural Networks in 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...

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 in Python, left off. You already know how to build an artificial neural network in Python, and you have a...

Machine Learning using Python Programming Изучите основные концепции машинного обучения и его алгоритмов, а также способы их реализации в Python 3. Чему вы научитесь: Алгоритмы и терминология машинного обучения Искусственный интеллект Библиотеки Python — Numpy, Pandas, Scikit-learn...

Data science: Learn linear regression from scratch and build your own working program in Python 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...

Data science techniques for professionals and students - learn the theory behind logistic regression and code in Python This course is a lead-in to deep learning and neural networks - it covers a popular and fundamental technique used in machine learning, data science and statistics: logistic...

Курс на Английском языке! Beat the Codility Coding Interview in Python Learn and practice how to solve many coding puzzles from Codility using Python. Изучите и попрактикуйтесь в решении многих головоломок по программированию из Codility с использованием Python. Чему вы научитесь Опыт решения...

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...

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 Recurrent Neural Network (RNN) has been used to obtain state-of-the-art results in sequence...

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...

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...

Python является наиболее широко используемым языком программирования в мире. Я видел тысячи студентов, которые прошли базовую часть Python, но они никогда не использовали свои навыки и концепции, чтобы сделать что-то профессионально выглядящее и продвинутого уровня в Python. Любой язык...

A guide for writing your own neural network in Python 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...

SQLAlchemy 2.0 на практике знакомит разработчиков Python с последней версией платформы реляционных баз данных SQLAlchemy, создавая нетривиальный проект базы данных с самого начала и небольшими поэтапными шагами. Следуя рекомендациям этой книги, вы создадите базу данных для созданного...