Deep Learning Prerequisites: Logistic Regression in Python, Data science, machine learning, and artificial intelligence in Python for students and professionals Created by Lazy Programmer Inc. English [Auto], Portuguese [Auto]Preview this Course - GET COUPON CODE 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 regression. We cover the theory from the ground up: derivation of the solution, and applications to real-world problems. We show you how one might code their own logistic regression module in Python. This course does not require any external materials. Everything needed (Python, and some Python libraries) can be obtained for free.

Data Science is a big deal these days! So it stands to reason that you might want to learn it because of its amazing potential and popularity in the technical market. But you don't need to spend thousands of dollars on getting a university degree to learn Data Science. It's even predicted that "armchair data scientists" who don't have any formal qualifications in Data Science but the skills to analyze data will become even more popular than "traditional data scientists". So you can easily learn the basics of Data Science from online courses and then build upon those basics by practice.

Artificial Intelligence A-Z™: Learn How To Build An AI Combine the power of Data Science, Machine Learning and Deep Learning to create powerful AI for Real-World applications! BESTSELLER 4.3 (12,120 ratings) Created by Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, SuperDataScience Support PREVIEW THIS COURSE - GET COUPON CODE  Free Coupon Discount Udemy Online Courses

Deep Learning and Computer Vision A-Z™: OpenCV, SSD & GANs Become a Wizard of all the latest Computer Vision tools that exist out there. Detect anything and create powerful apps.

The demand for Data Scientists is immense. In this course, you'll learn how you can play a part in fulfilling this demand and build a long, successful career for yourself. The #1 goal of this course is clear: give you all the skills you need to be a Data Scientist who could start the job tomorrow... within 6 weeks. With so much ground to cover, we've stripped out the fluff and geared the lessons to focus 100% on preparing you as a Data Scientist. You'll pick up all the core concepts that veteran Data Scientists understand intimately.

Deployment of Machine Learning Models in Production, Deploy ML Model in with BERT, DistilBERT, FastText NLP Models in Production with Flask, uWSGI, and NGINX at AWS EC2 Created by Laxmi Kant KGP TalkiePreview this course Udemy GET COUPON CODE Complete End to End NLP Application How to work with BERT in Google Colab How to use BERT for Text Classification Deploy Production Ready ML Model Fine Tune and Deploy ML Model with Flask Deploy ML Model in Production at AWS Deploy ML Model at Ubuntu and Windows Server Optimize your NLP Code You will learn how to develop and deploy FastText model on AWS Learn Multi-Label and Multi-Class classification in NLP Are you ready to kickstart your Advanced NLP course? Are you ready to deploy your machine learning models in production at AWS? You will learn each and every steps on how to build and deploy your ML model on a robust and secure server at AWS. Prior knowledge of python and Data Science is assumed. If you are AN absolute beginner in Data Science, please do not take this course. This course is made for medium or advanced level of Data Scientist.

A neural network trained via slow-mo movies will artificially generate additional frames for your footage. Even 14 fps films can easily be boosted to 60 fps. A neural network specifically trained using our own dataset will provide you with an approximate artificial colorization of each frame. While not historically accurate, the colorization appears natural. Each frame can be upscaled using specifically-targeted data that perfectly aligns with your footage. Our neural network will "redraw" the missing data and increase the frame resolution 4x or more. Our team of engineers will be glad to help you resolve various digital tasks with our machine learning magic.

Organisations of all sizes are looking for new ways to innovate, but in ways that won't break the bank. Proprietary solutions can offer some answers, but in uncertain times, vendor lock-in is undesirable and expensive. To remain agile, open-source solutions are offering agnostic and low-cost ways to continue and even accelerate the rate of digitisation across the APAC and Australasia. For enterprise-grade open-source solutions that are making a practical difference today, many turn to SUSE as the perfect partner that offers business-centricity with an open-source ethos. The company behind a global community of thousands of developers is offering a series of webinars that show companies and businesses of all sizes and industries just how business outcomes can be improved using technology.

In a neural network, the activation function is responsible for transforming the summed weighted input from the node into the activation of the node or output for that input. The rectified linear activation function or ReLU for short is a piecewise linear function that will output the input directly if it is positive, otherwise, it will output zero. It has become the default activation function for many types of neural networks because a model that uses it is easier to train and often achieves better performance. In this tutorial, you will discover the rectified linear activation function for deep learning neural networks. A Gentle Introduction to the Rectified Linear Activation Function for Deep Learning Neural Networks Photo by Bureau of Land Management, some rights reserved. A neural network is comprised of layers of nodes and learns to map examples of inputs to outputs. For a given node, the inputs are multiplied by the weights in a node and summed together.

By the end of the course you'll be a professional Data Scientist with R and confidently apply for jobs and feel good knowing that you have the skills and knowledge to back it up.