Neural Networks | Нейронные сети
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🎥 What is Scikit-Learn Library | Learn Scikit-learn using Machine Learning | ML Tutorial | Codegnan
👁 1 раз 6200 сек.
In this webinar you'll learn How to use SciKit-Learn with Machine Learning.

Machine learning is about learning some properties of a data set and then testing those properties against another data set.

A common practice in machine learning is to evaluate an algorithm by splitting a data set into two.

We call one of those sets the training set, on which we learn some properties; we call the other set the testing set, on which we test the learned properties.

ScikitLearn the heart of Machine Learning pro
🎥 Python for Machine Learning and Data Science | Study With Flow
👁 1 раз 8021 сек.
The video is on "Python for Machine Learning and Data Science" in this we cover the important python libraries that are used in machine learning and data analysis and visualization in data science.These python libraries make the complex programming problems very easy to implement.We covered these python libraries in detail and here are the topics we mainly discussed:
1. Numpy
2.Pandas
3.Matplotlib


#pythonformachinelearning
#PythonforDataScience #DataScienceWithPython #PythonforDataScienceTraining #Pyth
​Introduction to Convolutional Neural Networks(CNN)

🔗 Introduction to Convolutional Neural Networks(CNN)
The article focus on all the concepts related to CNN and its implementation using Keras python library.
🎥 Weekly #113: Making Reinforcement Learning Practical with AWS DeepRacer
👁 1 раз 3593 сек.
Details: https://learn.xnextcon.com/event/eventdetails/W20050110
Building machine learning-enabled products is hard for developers and data scientists; throw in a hardware component and the complexity increase exponentially.
Lyndon Leggate introduces you to reinforcement learning and walks you through a step-by-step demonstration of how you developer can up level your RL skills through autonomous driving.
🎥 Weekly #113: Making Reinforcement Learning Practical with AWS DeepRacer
👁 1 раз 3593 сек.
Details: https://learn.xnextcon.com/event/eventdetails/W20050110
Building machine learning-enabled products is hard for developers and data scientists; throw in a hardware component and the complexity increase exponentially.
Lyndon Leggate introduces you to reinforcement learning and walks you through a step-by-step demonstration of how you developer can up level your RL skills through autonomous driving.
🎥 How to Build Neural Network in a Simple Way | Neural Network in Python Tutorial | Codegnan
👁 1 раз 4550 сек.
Building Neural Networks in Simple way. In this video you will get to know about how Artificial Intelligence is differ from Machine Learning and Deep Learning. and How Deep Learning is used for building Neural Networks.
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Welcome to Codegnan, the place where you can get immerse knowledge on New Technologies to sky rocket your career.

Join our Telegram Channel to get fresh updates on Data Science, Python, Artific
🎥 How to Build Neural Network in a Simple Way | Neural Network in Python Tutorial | Codegnan
👁 1 раз 4550 сек.
Building Neural Networks in Simple way. In this video you will get to know about how Artificial Intelligence is differ from Machine Learning and Deep Learning. and How Deep Learning is used for building Neural Networks.
-------------------------------------------------------------------------------------------------
Welcome to Codegnan, the place where you can get immerse knowledge on New Technologies to sky rocket your career.

Join our Telegram Channel to get fresh updates on Data Science, Python, Artific
​Полезная статья о JupyterLab-LSP

https://towardsdatascience.com/jupyterlab-2-0-edd4155ab897

🔗 JupyterLab 2.0
Let’s take a glimpse into the future of Jupyter Notebook editing. The future looks bright with features like coding assistance and more ☀️
​Полезная статья о JupyterLab-LSP

https://towardsdatascience.com/jupyterlab-2-0-edd4155ab897

🔗 JupyterLab 2.0
Let’s take a glimpse into the future of Jupyter Notebook editing. The future looks bright with features like coding assistance and more ☀️
​Пять этапов принятия неизбежного, или Рекомендательная система для кросс-продаж

🔗 Пять этапов принятия неизбежного, или Рекомендательная система для кросс-продаж
Этап 0: Начало пути В реалиях современного мира, когда ведется повсеместная цифровизация и накопление данных обо всем и о каждом, возникает резонный вопрос, а ка...
​Пять этапов принятия неизбежного, или Рекомендательная система для кросс-продаж

🔗 Пять этапов принятия неизбежного, или Рекомендательная система для кросс-продаж
Этап 0: Начало пути В реалиях современного мира, когда ведется повсеместная цифровизация и накопление данных обо всем и о каждом, возникает резонный вопрос, а ка...
Deep Learning (MIT Press Essential Knowledge series) (2019)

самая большая библеотека Библиотека data scientist’а -https://tglink.me/datascienceiot

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📝 Deep Learning by John D. Kelleher (z-lib.org) (1).pdf - 💾3 228 753
Deep Learning (MIT Press Essential Knowledge series) (2019)

самая большая библеотека Библиотека data scientist’а -https://tglink.me/datascienceiot

🔗 Открыть в Telegram



📝 Deep Learning by John D. Kelleher (z-lib.org) (1).pdf - 💾3 228 753