Результаты поиска по запросу: [Linkedin Learning] Building Web3 Decentralized Apps in Ethereum, 2022 (Drew Falkman)

Чему вы научитесь: Управляйте торговым счетом с помощью 99 роботов Ethereum и выбирайте только лучших экспертов Тестируйте стратегии в течение 1 месяца на демо-счете в несколько кликов с помощью профессионального программного обеспечения Торгуйте 99 торговыми роботами Ethereum на одном торговом...

React: Server-Side Rendering Server-side rendering lets you optimize your applications to use client or server resources depending on network and device circumstances. Old device on a slow network? Render on the server. New device, fast network? You should probably let the client do the work...

Детектив в жанре true crime с сюжетом, продуманным до мелочей. Когда я смотрела этот сериал, создалось впечатление, что сценарий написала Агата Кристи – каждая деталь в описании главных героев и происходящих событий помогает складывать паззл в расследовании убийства, произошедшего в роскошном...

OWASP Top 10: #3 Injection and #4 Insecure Design The Open Web Application Security Project (OWASP) was formed to provide the public with the resources needed to understand and enhance software security. The OWASP Top 10 list describes the ten biggest vulnerabilities. In this course, Caroline...

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...

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...

Мои материалы по сериалу Only Murders in the Building созданы для людей с довольно высоким уровнем языка (B2/C1). Они помогают превратить процесс просмотра из пассивного в активный, и относиться к сериалу не только как средству развлечения, но и как к учебному ресурсу. В разработке вы найдете...

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: 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, 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...

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...

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...

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...

Ensemble Methods: Boosting, Bagging, Boostrap, and Statistical Machine Learning for Data Science in Python 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...

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...

ChatGPT for Programmers. Build Python Apps in Seconds In this course, you will learn how to use ChatGPT to simplify and streamline your programming workflow. With ChatGPT's cutting-edge language processing capabilities, you will be able to build, fix, and add features to your programs with...

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...

Курс полностью переведен на русский язык. Узнайте, как использовать все ключевые функции Gmail, бесплатной службы электронной почты от Google. Преподаватель Джесс Стрэттон начинает с основ составления, отправки и ответа на электронную почту. Она рассказывает о том, как оставаться организованным...

Building LLM Powered Applications – Create Intelligent Apps Создавайте интеллектуальные приложения с помощью LLM, используя Python, LangChain и быструю разработку — практично и на практике. Чему вы научитесь: Создавайте интеллектуальные приложения с использованием больших языковых моделей...