Learn how to apply reporting and analysis techniques to the eCommerce analytics domain which helps to make informed business decisions. This course is ideal for analytics students and professionals who want to move into an eCommerce-based domain role or domain professionals who want to enhance their current profile with eCommerce analytics skills. Who this course is for: This course is ideal for analytics students and professionals who want to move into an eCommerce-based domain role or domain professionals who want to enhance their current profile with eCommerce analytics skills. This course is ideal for analytics students and professionals who want to move into an eCommerce-based domain role or domain professionals who want to enhance their current profile with eCommerce analytics skills. This course is ideal for analytics students and professionals who want to move into an eCommerce-based domain role or domain professionals who want to enhance their current profile with eCommerce analytics skills.

Link: Machine Learning Basics - SQL Server 2017, R, Python & T-SQL This article explains the basics of SQL Server Machine Learning Services. Also you get to compare the functional equivalent of both languages with reference manuals available in this course. These examples range from basics to advanced complex visualizations. Machine Learning Basics with SQL Server 2017, R and Python is a course in which a student having no experience / awareness of Machine Learning / R / Python / SQL Server 2017 Machine Learning Services would be trained step by step to a level where the student is confident to independently work independently with each of them. Course includes practical hands-on queries with explanation and analysis, and theoretical coverage of key concepts.

Link: Deep Learning with TensorFlow 2.0 [2019] Data Science Deep Learning Machine-Learning Scientific Libraries ... Learn about the updates being made to TensorFlow in its 2.0 version. We'll give an ... 8,767 students enrolled Created by 365 Careers, 365 Careers Team Gain a Strong Understanding of TensorFlow - Google's Cutting-Edge Deep Learning Framework Build Deep Learning Algorithms from Scratch in Python Using NumPy and TensorFlow Set Yourself Apart with Hands-on Deep and Machine Learning Experience Grasp the Mathematics Behind Deep Learning Algorithms Understand Backpropagation, Stochastic Gradient Descent, Batching, Momentum, and Learning Rate Schedules Know the Ins and Outs of Underfitting, Overfitting, Training, Validation, Testing, Early Stopping, and Initialization Competently Carry Out Pre-Processing, Standardization, Normalization, and One-Hot Encoding Some basic Python programming skills You'll need to install Anaconda. We will show you how to do it in one of the first lectures of the course. All software and data used in the course are free. Data scientists, machine learning engineers, and AI researchers all have their own skillsets.

Jim Sterne, Author, Artificial Intelligence for Marketing AI and Machine Learning need not be mysterious. We begin with a quick overview of AI and ML (hold the math!), practical applications, and what the future may hold. This review of what it is, how it works, and where it can be useful affords the ability to speak cogently with your colleagues and determine where to apply this innovative technology for marketing.

A team of PG students along with their faculty members from IIT Guwahati are developing an AI-based chatbot - ALBELA - which will aid in teaching to the first-year students of Electrical & Electronics Engineering (EEE) at the institute. The researchers are from the department of EEE. The chatbot will also be able to handle the queries and doubts of the students. According to the statement from IIT Guwahati, the chatbot will help the students in finding their class schedule, tutorial schedule, examination queries and more through a simple AI-based chat window. "We have been working on its development since last 7 months with a team of dedicated 7 research scholars of the department. Earlier we did the trial runs of the Chabot, and started using from this academic session onwards," Prof. Praveen Kumar, Professor, Department of EEE, IIT Guwahati, said.

The training and development of your workforce is vital to the achievement of digital transformation success for businesses. And today, more and more businesses are leveraging e-learning to educate their employees. The advantages for businesses using online learning platforms as opposed to traditional training methods are bountiful. First, it lowers business costs since one training session can be delivered to multiple people. Second, topics can be broken down into bite-sized chunks, meaning that employees do not need to spend lengthy periods of time away from their desks.

The goal of data science teams are to build and deploy high impact models. Data scientists prefer to focus on building algorithms, while data engineers focus on performance and productionizing machine learning. Kubernetes is an orchestration platform that can be deployed anywhere and can serve any kind of machine and deep learning environment. Kubernetes is a great tool for data scientists to use to stay productive and for data engineers to get production-ready results. In this free workshop you'll learn how to build your own Kubernetes to use in your next machine learning pipeline.

It is common in statistics and machine learning to create a linear transform or mapping of a variable. An example is a linear scaling of a feature variable. We have the natural intuition that the mean of the scaled values is the same as the scaled value of the mean raw variable values. Unfortunately, we bring this intuition with us when using nonlinear transformations of variables where this relationship no longer holds. Fixing this intuition involves the discovery of Jensen's Inequality, which provides a standard mathematical tool used in function analysis, probability, and statistics.

Link: [2019] MACHINE LEARNING REGRESSION MASTERCLASS IN PYTHON In Courses Buddy you will find the best online courses on the categories you want to learn. Our team explores many courses in many ...BESTSELLER 4.7 (41 ratings) 727 students enrolled Created by Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard What you'll learn Master Python programming and Scikit learn as applied to machine learning regression Understand the underlying theory behind simple and multiple linear regression techniques Apply simple linear regression techniques to predict product sales volume and vehicle fuel economy Apply multiple linear regression to predict stock prices and Universities acceptance rate Cover the basics and underlying theory of polynomial regression Apply polynomial regression to predict employees' salary and commodity prices Understand the theory behind logistic regression Apply logistic regression to predict the probability that customer will purchase a product on Amazon using customer features Understand the underlying theory and mathematics behind Artificial Neural Networks Learn how to train network weights and biases and select the proper transfer functions Train Artificial Neural Networks (ANNs) using back propagation and gradient descent methods Optimize ANNs hyper parameters such as number of hidden layers and neurons to enhance network performance Apply ANNs to predict house prices given parameters such as area, number of rooms..etc Assess the performance of trained Machine learning models using KPI (Key Performance indicators) such as Mean Absolute error, Mean squared Error, and Root Mean Squared Error intuition, R-Squared intuition, Adjusted R-Squared and F-Test Understand the underlying theory and intuition behind Lasso and Ridge regression techniques Sample real-world, practical projects Requirements Machine Learning basics PC with Internet connetion Artificial Intelligence (AI) revolution is here! The technology is progressing at a massive scale and is being widely adopted in the Healthcare, defense, banking, gaming, transportation and robotics industries. Machine Learning is a subfield of Artificial Intelligence that enables machines to improve at a given task with experience. Machine Learning is an extremely hot topic; the demand for experienced machine learning engineers and data scientists has been steadily growing in the past 5 years.

Machine learning is impacting countless industries, from the recent discovery of a black hole to improving healthcare, we are just scratching the surface. The retail industry is a prime example. Retailers and manufacturers are racing to figure out how they can employ machine learning to target specific consumers, monitor trends, and discover new pricing models. While retailers and manufacturers are doubling down on new ways to target and sell to consumers, Jia Rui Ong, a two-time Nanodegree program graduate, and his team are employing machine learning to help you, the consumer, find the best price for the clothing you desire. We recently had a chance to sit down with Jia Rui Ong and his team at Yux to discuss their product, as well as, our newly updated Machine Learning Nanodegree program.