Artificial Intelligence is the present. The most prominent companies in the world are using AI for various purposes and have come up with groundbreaking services. In this blog, we'll discuss why artificial intelligence for kids is a great idea. Artificial Intelligence may seem like a highly complicated concept to learn about. So why should kids learn AI?

Machine learning is constantly being applied to new industries and new problems. Whether you're a marketer, video game designer, or programmer, my course on Udemy here to help you apply machine learning to your work. Welcome to the "Complete Machine Learning & Data Science with Python A-Z" course. Do you know data science needs will create 11.5 million job openings by 2026? Do you know the average salary is $100.000 for data science careers!

You will also learn how to use TensorFlow For NLP and Deep Learning. By end of this course, you will learn how to build a Sentiment Classifier and a program that can write like a real poet! This course is very hands-on and you will be learning everything there is about basic NLP. For those of you who like to dig deep into the theory to understand how things really work, you know this is my specialty and there will be no shortage of that in this course. We'll be covering the state of the art algorithms like word embeddings, tokenization, and deep learning.

Have you mastered the art of building and training ML models, and are now ready to use them in a production deployment for a product or service? If so, we have a new set of courses to get you going. Built as a collaboration between the TensorFlow team, Andrew Ng, and deeplearning.ai, The new specialization builds on the foundational knowledge taught in the popular specialization, DeepLearning.AI TensorFlow Developer Professional Certificate, that teaches how to build machine learning models with TensorFlow. The new MLOps specialization kicks off with an introductory course taught by Andrew Ng, followed by courses taught by Robert Crowe and Laurence Moroney that dive into the details of getting your models out to users.

Welcome to this hands-on, guided introduction to Explainable Machine Learning with LIME and H2O in R. By the end of this project, you will be able to use the LIME and H2O packages in R for automatic and interpretable machine learning, build classification models quickly with H2O AutoML and explain and interpret model predictions using LIME. Machine learning (ML) models such as Random Forests, Gradient Boosted Machines, Neural Networks, Stacked Ensembles, etc., are often considered black boxes. However, they are more accurate for predicting non-linear phenomena due to their flexibility. Experts agree that higher accuracy often comes at the price of interpretability, which is critical to business adoption, trust, regulatory oversight (e.g., GDPR, Right to Explanation, etc.). As more industries from healthcare to banking are adopting ML models, their predictions are being used to justify the cost of healthcare and for loan approvals or denials.

As part of our continuing series on assessing 2021 IT trends, this article will move on to the education industry and evaluate the most significant changes those within this sector can expect this year. As was the case with the healthcare industry, plenty of technologies that have long been on the cusp of mainstream acceptance have been thrust into the limelight due to the pandemic. IT innovations such as 5G connectivity, IoT, and blockchain are all starting to play considerable roles within the educational environment. So, without any further delay, let's examine the top seven IT trends and how they are set to make an impression this year. Despite the feeling that the pandemic is slowly drawing toward its conclusion with the onset of effective vaccines, online learning (often referred to as e-learning) is here to stay.

Have you ever wondered how big companies like Google, Amazon or Facebook work with textual data? Natural Language Processing is one of the most exciting fields in Data Science and Analytics nowadays. The ability to make a computer understand words and phrases is a technological innovation that brought a huge transformation to tasks such as Information Retrieval, Translation or Text Classification. In this course we are going to learn the fundamentals of working with Text data in Python and discuss the most important techniques that you should know to start your journey in Natural Language Processing. This course was designed for absolute beginners - meaning that everything regarding NLP that we are going to speak in the course will be explained during the lectures, assuming that the student does not have any prior knowledge in the subject.

Geospatial data science is a subset of data science that focuses on spatial data and its unique techniques. In this, we are going to perform spatial analysis and trying to find insights from spatial data. In this course, we lay the foundation for a career in Geospatial Data Science. You will get hands-on Geopy, Plotly etc.. the workhorse of Geospatial data science Python libraries. The topics covered in this course widely touch on some of the most used spatial technique in Geospatial data science.

The School of Entrepreneurship and Management Studies (SEAMS), SRM University-AP Andhra Pradesh, introduces a series of academic webinars exclusively for its students from the departments of BBA and MBA. The first among the series, organised on the theme AI/ML in Healthcare, will be held on June 19, 2021, at 4.00 pm. Ltd, will be the guest speaker of the webinar. Dr Dasgupta earned his PhD in Statistics from the University of Florida and is currently an adjunct professor of Data Science at Chennai Mathematical Institute. Speakers from industry and academia will be invited for every session of the webinar series to throw light on diverse topics.

Network Analytics for Business Specialization Become the Best in Your Field with NBA. About this Specialization 1,628 recent views This Specialization is part of HSE University Master of Data and Network Analytics degree program. Learn more about admission into the program here and how your Coursera work can be leveraged if accepted into the program. The specialization is intended for a general audience of business analysts, seeking to augment their toolkit with the newest analytical methods. Specifically, they will get introduced to the analysis of networks and unstructured data (texts) – the two areas that are currently hailed as the "methods of the future."