Instructional Material
Best Data Science, Machine Learning Courses from Udemy (only $12 until Sep 20)
Here is a list of the best courses in Data Science and Machine Learning from Udemy. With the back-to-school sale, you can get these and other Udemy courses for $12, 90-95% off original price. Udemy.com is an online marketplace for learning, their data science content is updated regularly by the instructors who created good courses (filled with actionable tools) and bite-size lessons that help you cover defined topics at your own pace. Ready to be thrown into the deep end and learn the real problems a data scientist faces on a daily basis? Data Science management consultant Kirill Eremenko teaches this intense, best-selling course to over 23K students and counting.
Amazon Web Services, Inc.
GANs are a type of deep neural network that allow us to generate data. In this webinar, we'll take a look at the concept and theory behind GANs, which can be used to train neural nets with data that is generated by the network. We'll explore the GAN framework along with its components -- generator and discriminator networks. We'll then learn how to use Apache MXNet on AWS using the popular MNIST dataset, which contains images of handwritten numbers. In the end, we'll create a GAN model that is able to generate similar images of handwritten numbers from our test dataset.
Data Engineering on Google Cloud Platform Coursera
This five-course accelerated specialization is designed for data professionals who are responsible for designing, building, analyzing, and optimizing big data solutions. Through a combination of video lectures, quizzes, and hands-on labs, you'll learn how to carry out serverless data analysis and productionize machine learning models. This specialization is designed to give participants a robust hands-on experience and is primarily lab-focused. Learn how to deliver business value with Big Data and Machine Learning Solutions on Google Cloud Platform. To get up to speed quickly, follow the courses in this specialization.
Zero to Deep Learning with Python and Keras - Udemy
This course is designed to provide a complete introduction to Deep Learning. It is aimed at beginners and intermediate programmers and data scientists who are familiar with Python and want to understand and apply Deep Learning techniques to a variety of problems. We start with a review of Deep Learning applications and a recap of Machine Learning tools and techniques. Then we introduce Artificial Neural Networks and explain how they are trained to solve Regression and Classification problems. Over the rest of the course we introduce and explain several architectures including Fully Connected, Convolutional and Recurrent Neural Networks, and for each of these we explain both the theory and give plenty of example applications.
Deep Learning with TensorFlow - Udemy
Deep learning is the intersection of statistics, artificial intelligence, and data to build accurate models and TensorFlow is one of the newest and most comprehensive libraries for implementing deep learning. With deep learning going mainstream, making sense of data and getting accurate results using deep networks is possible. This course is your guide to exploring the possibilities with deep learning; it will enable you to understand data like never before. With the efficiency and simplicity of TensorFlow, you will be able to process your data and gain insights that will change how you look at data. With this video course, you will dig your teeth deeper into the hidden layers of abstraction using raw data.
Bigdata Analytics with Hive,Spark,Sqoop - Udemy
SparkR is an R package that provides a light-weight frontend to use Apache Spark from R. In Spark 2.0.2, SparkR provides a distributed data frame implementation that supports operations like selection, filtering, aggregation etc. (similar to R data frames) but on large datasets. SparkR also supports distributed machine learning using MLlib. You will learn how to create spark cluster in Databricks. You will learn how to create dataframes and grouping data and aggregating data.
ANIMATED VIDEOS IN ADOBE SPARK - Udemy
In this day and age of digital marketing, having the right visual content can increase the brand value significantly. But not everyone is equipped to create professional graphics and videos on their own. This means people spend thousands of dollars in hiring designers or buying expensive softwares, which have deep learning curves and are not easy to use. The solution would be to use readily-available tools like PowerPoint or use free online tools which are easy to use. With Visual Deck, you can learn to create your own professional graphics, presentations and animated videos with no prior experience whatsoever!
Become a Citizen Data Scientist : Marketing perspective
You will engage in 5 hands-on labs for creating advanced models …. Because our goal is to get you up to speed as quickly as possible, we'll cover through the 30 lectures, The course will enable you to extract actionable insight from your customers' data According to a Mckinsey Study, demand for data scientists is projected to exceed supply by more than 50% by 2018. That's the gap you as citizen Data Scientists are going to fill Citizen data scientist are "Business people with the right attitude - curious, adventurous, determined - to research and improve things in the organization" SAS The need is so, that according to Gartner, by 2017, the number of citizen data scientists will grow 5 times faster than the number of highly skilled data scientists. This course is designed for business professionals: marketer, manager and analytical minds in every department … who want to take their skills to the next level. If you have solid business knowledge, curious, determined to improve things in your company or just willing to learn new methods and tools than this course is for you….
The Complete Guide to TensorFlow 1.x - Udemy
Are you a data analyst, data scientist, or a researcher looking for a guide that will help you increase the speed and efficiency of your machine learning activities? If yes, then this course is for you! Google's brainchild TensorFlow, in its first year, has more than 6000 open source repositories online. It has helped engineers, researchers, and many others make significant progress with everything from voice/sound recognition to language translation and face recognition. It has also proved to be useful in the early detection of skin cancer and preventing blindness in diabetics.