Created by Laxmi Kant KGP Talkie Students also bought Unsupervised Machine Learning Hidden Markov Models in Python Machine Learning and AI: Support Vector Machines in Python Cutting-Edge AI: Deep Reinforcement Learning in Python Ensemble Machine Learning in Python: Random Forest, AdaBoost Deep Learning: Advanced Computer Vision (GANs, SSD, More!) Unsupervised Deep Learning in Python Preview this course GET COUPON CODE Description Welcome to KGP Talkie's Natural Language Processing course. It is designed to give you a complete understanding of Text Processing and Mining with the use of State-of-the-Art NLP algorithms in Python. We Learn Spacy and NLTK in details and we will also explore the uses of NLP in real-life. This course covers the basics of NLP to advance topics like word2vec, GloVe. In this course, we will start from level 0 to the advanced level.

Trade Forex differently… using a learning algorithm designed by expert traders. Just over four years ago, we embarked on an ambitious task on the banks of the Thames in London. We decided to rewrite the rules on FOREX trading. Granted there's a lot to choose from, but for the individual who just wants to trade FOREX profitably without having to be glued to their screen all day, we feel we have developed a viable alternative. Our intuitive approach pushes all the technical analysis onto an AI and ML solution called RagingFX.

Healthcare cybersecurity is in triage mode. As systems are stretched to the limits by COVID-19 and technology becomes an essential part of everyday patient interactions, hospital and healthcare IT departments have been left to figure out how to make it all work together, safely and securely. Most notably, the connectivity of everything from thermometers to defibrillators is exponentially increasing the attack surface, presenting vulnerabilities IT professionals might not even know are on their networks. Get the whole story and DOWNLOAD the eBook now – on us!] The result has been a newfound attention from ransomware and other malicious actors circling and waiting for the right time to strike. Rather than feeling overwhelmed in the current cybersecurity environment, it's important for healthcare and hospital IT teams to look at security their networks as a constant work in progress, rather than a single project with a start and end point, according to experts Jeff Horne from Ordr and G. Anthony Reina who participated in Threatpost's November webinar on Heathcare Cybersecurity. "This is a proactive space," Reina said. "This is something where you can't just be reactive. You actually have to be going out there, searching for those sorts of things, and so even on the technologies that we have, you know, we're, we're proactive about saying that security is an evolving, you know, kind of technology, It's not something where we're going to be finished." Healthcare IT pros, and security professionals more generally, also need to get a firm handle on what lives their networks and its potential level of exposure. The fine-tuned expertise of healthcare connected machines, along with the enormous cost to upgrade hardware in many instances, leave holes on a network that simply cannot be patched. "Because, from an IT perspective, you cannot manage what you can't see, and from a security perspective, you can't control and protect what you don't know," Horne said. Threatpost's experts explained how healthcare organizations can get out of triage mode and ahead of the next attack. The webinar covers everything from bread and butter patching to a brand-new secure data model which applies federated learning to functions as critical as diagnosing a brain tumor. Alternatively, a lightly edited transcript of the event follows below. Thank you so much for joining. We have an excellent conversation planned on a critically important topic, Healthcare cybersecurity. My name is Becky Bracken, I'll be your host for today's discussion. Before we get started, I want to remind you there's a widget on the upper right-hand corner of your screen where you can submit questions to our panelists at any time. We encourage you to do that. You'll have to answer questions and we want to make sure we're covering topics most interesting to you, OK, sure. Let's just introduce our panelists today. First we have Jeff Horne. Jeff is currently the CSO at Ordr and his priors include SpaceX.

We will show you exactly how to succeed these applications, through Real World Business case studies. And for each of these applications we will build a separate AI to solve the challenge. In Part 1 - Optimizing Processes, we will build an AI that will optimize the flows in an E-Commerce warehouse. In Part 2 - Minimizing Costs, we will build a more advanced AI that will minimize the costs in energy consumption of a data center by more than 50%! Just as Google did last year thanks to DeepMind.

This is currently in an Early Bird Beta access, meaning we are still going to be continually adding content to the course (even though we are already at over 22 hours of content!) Since we're still adding content and taking student feedback as we complete the course through the start of 2021, students who enroll now will get access to a wide variety of benefits! Welcome to the Learn Data Science and Machine Learning with R from A-Z Course! In this practical, hands-on course you'll learn how to program in R and how to use R for effective data analysis, visualization and how to make use of that data in a practical manner. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. Our main objective is to give you the education not just to understand the ins and outs of the R programming language, but also to learn exactly how to become a professional Data Scientist with R and land your first job.

These topics are getting very hot nowadays because these learning algorithms can be used in several fields from software engineering to investment banking. Learning algorithms can recognize patterns which can help detect cancer for example or we may construct algorithms that can have a very good guess about stock prices movement in the market. In each section we will talk about the theoretical background for all of these algorithms then we are going to implement these problems together. We will use Python with SkLearn, Keras and TensorFlow. Machine Learning Algorithms: machine learning approaches are becoming more and more important even in 2020.

Bagging, also known as bootstrap aggregating, is the process in which multiple models of the same learning algorithm are trained with bootstrapped samples of the original dataset. Then, like the random forest example above, a vote is taken on all of the models' outputs. Boosting is a variation of bagging where each individual model is built sequentially, iterating over the previous one. Specifically, any data points that are falsely classified by the previous model is emphasized in the following model. This is done to improve the overall accuracy of the model.

This is the second edition of my weekly update on deep learning. Every Thursday, I’ll release a new batch of research papers, blog posts, Github repos, etc. that I liked over the past week. Links are…

This course covers C from very basic to more advanced features.Maybe you have some experience with other programming languages, but want to learn C. It's a great language to add to your resume!.The object oriented programming concepts are clearly explained, you will learn classes, objects, inheritance, polymorphism, Operator overloading, Data Structure,Pointer, file handling,Dynamic Memory allocation,Recursion, apart from basic programming concepts like variables, branching and looping, functions, reference parameters, arrays, string,vectors hands on the real life project in C . The course will be constantly refined in the future based on student feedback! By the end of this course, you will understand the fundamentals of the C Programming Language,OOP Data Structures, and make yourself more marketable for entry level programming positions. You will understand variables and the different data types, be able to utilize functions and arrays, understand the concept of pointers, learn about control flow (decision statements and iteration).You will be in a position to apply for real-time programming positions, and truly understand the core language that most modern languages are based on! C allows you to have a lot of control as to how you use computer resources, so in the right hands its speed and ability to cheaply use resources should be able to surpass other languages.

Nowadays, people prefer using smart and interactive apps instead of basic ones. With continually evolving technologies, it is essential always to stay up-to-date. This means that the apps, games, and gadgets must change and become more dynamic. Are you wondering how all these interactive apps of the future are created? Would you like to know how come the Google Assistant understands what you're saying and can even help you with using your phone more proficiently?