Algorithmic Trading A-Z with Python, Machine Learning & AWS - Build your own truly Data-driven Day Trading Bot Learn how to create, test, implement & automate unique Strategies.

When Russia invaded Ukraine in February 2022, the images of tanks and troops amassing and then crossing the border could make it seem like little has changed in the world of warfare. However, as the fighting in Ukraine progressed it also became clear how conflicts today are developing in new and very different ways. Many of the images we have seen were captured by satellites in space or on mobile phones, and the sharing of these on social media has helped to shape public attitudes and been used to circumvent or undermine state-sponsored messaging. We have also seen hackers declare cyberwar on Russia. In the latest episode of the WORLD:we got this podcast series Dr Tim Stevens and Dr Kenneth Payne, who are both based in the School of Security Studies in our Faculty of Social Science & Public Policy, explore how cyber operations, social media and artificial intelligence are changing the face of war.

Welcome to "Introduction to Data Science Using Python" where you will set a good foot in the fields of Data Science and Machine Learning. I'm your instructor Ali Desoki and I start from scratch going clearly over all the points in the course along with hands-on practical exercises and projects to summarize all the skills you've learned. This course is designed for Beginners covering all Aspects of what you need to know to start in the fields of data science and machine learning with practice notebooks which summarize all the skills you've learned. At the end of this course, you will be able to analyze and manipulate data with python and be able to start your career in this field. The ideal student for this course is someone who looks to start in the mentioned fields from scratch.

Learn how to visualize spatial data in maps and charts. Manipulate, clean and transform data. Welcome to the'Spatial Data Visualization and Machine Learning in Python' course. In this course we will be building a spatial data analytics dashboard using bokeh and python. We will be visualizing our data in a variety of bokeh charts, which we will explore in depth.

Understanding how important representation, role models, and mentoring had been to my own career journey, I started a network to support other Amazon employees looking to pursue a career in machine learning (ML) and artificial intelligence (AI). Open to anyone working at Amazon, the global Women in ML/AI group hosts regular networking events and organizes panel discussions with industry experts on career development. To discuss learnings from our professional journey, I sat down with fellow board members, including senior documentation manager Michelle Luna, senior software development manager Anna Khabibullina and general manager and product lead Shubha Pant. Here are some of the advice we found invaluable when launching and building a career in the field. Luna, Khabibullina, Pant and I are all proof that there are many paths into ML and AI -- from the traditional and linear, to the more unconventional.

Solve real data science problems and add value quickly without needing to learn how to code. Do you want to super charge your career by learning the most in demand skills? Are you interested in data science but intimidated from learning by the need to learn a programming language? I can teach you how to solve real data science business problems that clients have paid hundreds of thousands of dollars to solve. I'm not going to turn you into a data scientist; no 2 hour, or even 40 hour online course is able to do that.

Transformer models are the de-facto standard in modern NLP. They have proven themselves as the most expressive, powerful models for language by a large margin, beating all major language-based benchmarks time and time again. In this course, we cover everything you need to get started with building cutting-edge performance NLP applications using transformer models like Google AI's BERT, or Facebook AI's DPR. Throughout each of these use-cases we work through a variety of examples to ensure that what, how, and why transformers are so important. Alongside these sections we also work through two full-size NLP projects, one for sentiment analysis of financial Reddit data, and another covering a fully-fledged open domain question-answering application.

In this session, Machine Learning Models for smart water management system which automates the identification of leakage and also predict the location of leakages in the water pipeline will be delivered. Attendees will be able to learn different ML techniques used to predict the leakage in the water pipes and also understand the best approach that can be used to localize the water leakage. The system determines leakages by utilizing the water flow rate in the water pipes The session also highlights the prototype that was developed using STAR-CCM, a computational fluid dynamics software to test the proposed system. Machine Learning models were tested on the prototype developed. The results showed that amongst the machine learning based location prediction models, the Multi-Layer Perceptron (MLP) performs the best with an accuracy of 94.47% and an F1 score of 0.95.

Welcome to the crash course on Numpy, Pandas, Matplotlib by Teaching Bee. In this course we will go through, basics to advance concepts for each library which are prerequisite of data science field. In the first module we will cover important concepts of numpy from basic concepts like difference between numPy array with python list, creating numpy arrays to some advance concepts like Boolean indexing broadcasting etc. In the next section we will be covering concepts of pandas with hands on real world movies dataset and also see various data preprocessing steps which are involved in machine learning using pandas library In the third section we will see how to visualise and interpret data using matplotlib library on real world dataset and also see which type plot is used in different scenarios. As it is said "Practice Makes a Man Perfect", so in last section we will discuss few of the 50 curated exercise questions provided along with course on the above library which we will help you to master these libraries.

If you need to learn how to understand and create Machine Learning models used to solve business problems, this course is for you. You will learn in this course everything you need about Data Mining process, Machine Learning and how to implement Machine Learning algorithms in Data Mining. This course was designed to provide information in a simple and straight forward way so ease learning methods. You will from scratch and keep building your knowledge step by step until you become familiar with the most used Machine Learning algorithms.