کتاب یادگیری ماشین پایتون(انگلیسی) 454 صفحه 2017
#کتاب #آموزش #پایتون #یادگیری_ماشین
#Python #Machine_Learning
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@machinelearning_tuts
@selfdrivecar
@autonomousvehicle

#Machine_Learning
#Cheat_Sheet

💥Machine learning algorithm cheat sheet
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@machinelearning_tuts
@autonomousvehicle

#Machine_Learning
#Cheat_Sheet

💥Machine learning algorithm cheat sheet, Classical Equations, Diagrams and Tricks
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@machinelearning_tuts
@autonomousvehicle

🔹Successfully Deploying Machine Learning Models
There are various opinions and assertions out there regarding the end-to-end process of building and deploying predictive models. We strongly assert that the deployment process is not a process at all — it’s a lifecycle. Why? It’s an infinite process of iterations and improvements. Model deployment is in no way synonymous with model completion.

📌 Via: @cedeeplearning

link: https://www.rocketsource.co/blog/machine-learning-models/

#end_to_end
#deployment
#machine_learning

🔹How Conversational AI creates new business cases

The era of conversational artificial intelligence is rapidly changing the business of both traditional websites and mobile applications. What are, then, the benefits of “conversational AI” that new business systems can offer? Well, to begin with: it seems that voice and dialogue interfaces are finally ripe to compete against traditional ones.

📌 Via: @cedeeplearning

link: https://chatbotsmagazine.com/how-conversational-ai-create-new-business-cases-aed0740903c0

#AI
#business_case
#chatbot
#machine_learning

🔹Proteins are complex molecules that are essential to life, and each has its own unique 3D shape.

Today we’re excited to share DeepMind’s first significant milestone in demonstrating how artificial intelligence research can drive and accelerate new scientific discoveries. With a strongly interdisciplinary approach to our work, #DeepMind has brought together experts from the fields of structural biology, physics, and #machine_learning to apply #cutting-edge techniques to #predict the 3D structure of a #protein based solely on its #genetic sequence.

📌Via: @cedeeplearning

link: https://deepmind.com/blog/article/alphafold-casp13

🔹Understanding Generative Adversarial Networks (GANs)

Yann LeCun described it as “the most interesting idea in the last 10 years in #Machine_Learning”. Of course, such a compliment coming from such a prominent researcher in the #deep_learning area is always a great advertisement for the subject we are talking about! And, indeed, #Generative Adversarial #Networks (#GANs for short) have had a huge success since they were introduced in 2014 by Ian J. #Goodfellow and co-authors in the article Generative Adversarial Nets.

📌Via: @cedeeplearning

link: https://towardsdatascience.com/understanding-generative-adversarial-networks-gans-cd6e4651a29

🔻Free Mathematics Courses for Data Science & Machine Learning

It's no secret that #mathematics is the foundation of data science. Here are a selection of courses to help increase your math skills to excel in #data_science, #machine_learning, and beyond. (🔹click on the link below🔹)

📌Via: @cedeeplearning

link: https://www.kdnuggets.com/2020/02/free-mathematics-courses-data-science-machine-learning.html

🔻20 AI, Data Science, Machine Learning Terms You Need to Know in 2020

2020 is well underway, and we bring you 20 AI, #data_science, and #machine_learning #terms we should all be familiar with as the year marches onward.

📌Via: @cedeeplearning

🔻Part1: https://www.kdnuggets.com/2020/02/ai-data-science-machine-learning-key-terms-2020.html

🔻Part2: https://www.kdnuggets.com/2020/03/ai-data-science-machine-learning-key-terms-part2.html

#deeplearning
#terminology

🔹Photo Editing with Generative Adversarial Networks

#GANs are a very hot topic in #Machine_Learning. In this post I will explore various ways of using a GAN to create previously unseen images. I provide source code in #Tensorflow and a modified version of DIGITS that you are free to use if you wish to try it out yourself.
🔻Do not miss out this article
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📌Via: @cedeeplearning
📌Social media: https://linktr.ee/cedeeplearning

link: https://devblogs.nvidia.com/photo-editing-generative-adversarial-networks-1/