Welcome to the Complete Python Bootcamp: Go Beginner to Expert in Python 3! Become a Python Programmer and learn one of employer's most requested skills of 2020! Python is consistently ranked in either first or second place as the most in-demand programming languages across the job market. It has applications in data science, machine learning, web development, self-driving cars, automation, and many many other disciplines. There has never been a better time to learn it! The course follows a modern-teaching approach where students learn by doing.

About this Course 42,788 recent views Welcome to this course on Probabilistic Deep Learning with TensorFlow! This course builds on the foundational concepts and skills for TensorFlow taught in the first two courses in this specialisation, and focuses on the probabilistic approach to deep learning. This is an increasingly important area of deep learning that aims to quantify the noise and uncertainty that is often present in real world datasets. This is a crucial aspect when using deep learning models in applications such as autonomous vehicles or medical diagnoses; we need the model to know what it doesn't know. You will learn how to develop probabilistic models with TensorFlow, making particular use of the TensorFlow Probability library, which is designed to make it easy to combine probabilistic models with deep learning.

About this Course 18,791 recent views This course gives you context and first-hand experience with the two major catalyzers of the computational science revolution: big data and artificial intelligence. With more than 99% of all mediated information in digital format and with 98% of the world population using digital technology, humanity produces an impressive digital footprint. In theory, this provides unprecedented opportunities to understand and shape society. In practice, the only way this information deluge can be processed is through using the same digital technologies that produced it. Data is the fuel, but machine learning it the motor to extract remarkable new knowledge from vasts amounts of data.

By the end of the course, students will have a clear understanding of machine learning and artificial intelligence systems.

Hello, Welcome to my course "Python For Beginners With Imran Syed" In this course is for complete beginners who don have and prior knowledge of Python Programming Language, as well as existing programmers who want to built their career in python Web Development, Machine Learning, Data Science, Image Processing, Game Development etc. Python is one of the most popular programming languages in the world – may tech giants like Google use it in its applications like Google Search. And Python is the number one language choice for machine learning, data science and artificial intelligence. To get those high paying jobs you need an expert knowledge of Python, and that's what you will get from this course. There are a range of exciting opportunities for Python developers. All of them require a solid understanding of Python.

Bengaluru: Amazon India on Sunday announced the launch of ML Summer School which will provide an integrated learning experience for students to gain applied Machine Learning (ML) skills. A batch of students from select tech campuses in India will be presented with the opportunity to engage through virtual classroom tutorials followed by interactive Q&A sessions with scientists at Amazon. For students with prior exposure to certain areas of ML, the programme can act as a refresher course, while additionally providing a practical perspective on ML applications in industry, the company said in a statement. "With the pace of advancements in ML, we are proactively helping students to learn about the latest trends in the field of ML and apply them to solve real-world problems," said Rajeev Rastogi, VP, India Machine Learning at Amazon. "Our aim is to prepare students for science roles -- this will help to reduce the gap between the growing demand for ML roles across companies and the talent pool with applied ML skills," he added.

This course will give an overview of all the topics we shall be looking at in this course. We shall begin by describing the oil value chain – the exploration and development, how oil is produced, shipped, and marketed. Moving further, we will learn about the importance of oil in the industry, both as a fuel and as a raw material in various forms in the global economy. Then, we will go through a brief history of oil – how it all began, and the different'kinds' of oil discoverers. We will be introduced to the major players in the oil market – the top producers and the major consumers. We will then see how oil is formed, how it sits deep within the earth and how we discover and refine it. We will learn about the different types of oils, and the methods employed to extract them. This will be followed by a brief overview of the different means of transporting oil, and the risks and benefits associated with the different methods of oil transport. Lastly, we shall look into the different oil benchmarks that prevail globally.

Developing machine learning models is all fun and good, but after developing them you will probably be looking into deploying them into an app to use them. The question is should you put them on the client-side (which is probably the mobile) or should you put the model on a server, send the data to the server and get the results back? In this article, I am going to be discussing the trade-offs and what those 2 methodologies entail. Server-side machine learning models are the most widely-used ML systems simply because the architecture is more simple to implement. For example, you have an application running on the phone (the client) that classifies images.

When it comes to online learning, it's important for colleges to have courses that can adapt to our technology-driven world. That's why our mission at Amesite is to improve the way the world learns, catering to different types of learners while also giving them classes that are transferable. Our courses use AI to give students and instructors an exceptional online learning experience. But why should you use Amesite? Amesite's system uses established social media formats to help learners access content in a familiar setting.

Module 2 Deep Learning with Python Theoretical introduction to Neural Networks for Deep Learning, Python libraries for Deep Learning (Tensorflow), creation of a Neural Network and application to real datasets, Regression applied to different types of structured and unstructured data, such as numerical, categorical, or textual.