Salimt.github.io

IBM: Databases And SQL For Data Science | Courses-

Course Description. You will create new tables and be able to move data into them. You will learn common operators and how to combine the data. You will use case statements and concepts like data governance and profiling. You will discuss topics on data, and …

Actived: Thursday Jan 1, 1970

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Johns Hopkins University: R Programming | Courses-

Posted: (52 years ago) The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, and organizing and commenting R code. Topics in statistical data analysis and optimization will provide working examples.

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Stanford University: Machine Learning | Courses-

Posted: (52 years ago) The course will also draw from numerous case studies and applications, so that you’ll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas. Syllabus Linear Regression with One Variable

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MIT 6.00.2x | Courses-

Posted: (52 years ago) Course Description. 6.00.2x will teach you how to use computation to accomplish a variety of goals and provides you with a brief introduction to a variety of topics in computational problem solving . This course is aimed at students with some prior programming experience in Python and a rudimentary knowledge of computational complexity.

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Duke University: Data Science Math Skills | Courses-

Posted: (52 years ago) Course Description. Data science courses contain math—no avoiding that! This course is designed to teach learners the basic math you will need in order to be successful in almost any data science math course and was created for learners who have basic math skills but …

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deeplearning.ai - Sequences, Time Series and Prediction ...

Posted: (52 years ago) Hi Learners and welcome to this course on sequences and prediction! In this course we’ll take a look at some of the unique considerations involved when handling sequential time series data – where values change over time, like the temperature on a particular day, or the number of visitors to your web site. We’ll discuss various ...

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Coursera and edX Assignments | Courses-

Posted: (52 years ago) Google - Crash Course on Python. Google - Using Python to Interact with the Operating System. Delft University of Technology - Automated Software Testing; University of Maryland, College Park: Cybersecurity Specialization; University of Maryland, College Park: Software Security. University of Maryland, College Park: Usable Security

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University of Toronto - Learn to Program: The Fundamentals ...

Posted: (52 years ago) Course Description. Behind every mouse click and touch-screen tap, there is a computer program that makes things happen. This course introduces the fundamental building blocks of programming and teaches you how to write fun and useful programs using the Python language. Syllabus Week 1 - Python, Variables, and Functions

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Stanford University - Introduction to Mathematical ...

Posted: (52 years ago) START with the Welcome lecture. It explains what this course is about. (It comes with a short Background Reading assignment, to read before you start the course, and a Reading Supplement on Set Theory for use later in the course, both in downloadable PDF format.) This initial orientation lecture is important, since this course is probably not like any math course you have taken before – even if in places it might look like one! AFTER THAT, Lecture 1 prepares the groundwork for the course; then in …

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University of California, San Diego - Data Structures and ...

Posted: (52 years ago) This course is designed around the same video series as in our first course in this specialization, including explanations of core content, learner videos, student and engineer testimonials, and support videos – to better allow you to choose your own path through the course! Done during the course Week 1 : Introduction and Working with Strings

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IBM: Open Source tools for Data Science | Courses-

Posted: (52 years ago) In this course, you’ll learn about Jupyter Notebooks, RStudio IDE, Apache Zeppelin and Data Science Experience. You will learn about what each tool is used for, what programming languages they can execute, their features and limitations. With the tools hosted in the cloud on Cognitive Class Labs, you will be able to test each tool and follow ...

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University of Maryland, College Park - Software Security ...

Posted: (52 years ago) University of Maryland, College Park - Software Security. INSTRUCTORS. Instructors: Michael Hicks Course Description. We will consider important software vulnerabilities and attacks that exploit them – such as buffer overflows, SQL injection, and session hijacking – and we will consider defenses that prevent or mitigate these attacks, including advanced testing and program analysis techniques.

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deeplearning.ai - Natural Language Processing in ...

Posted: (52 years ago) In Course 3 of the deeplearning.ai TensorFlow Specialization, you will build natural language processing systems using TensorFlow. You will learn to process text, including tokenizing and representing sentences as vectors, so that they can be input to a neural network. You’ll also learn to apply RNNs, GRUs, and LSTMs in TensorFlow.

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Duke University: Java Programming: Arrays, Lists, and ...

Posted: (52 years ago) Course Description. Build on the software engineering skills you learned in “Java Programming: Solving Problems with Software” by learning new data structures. Use these data structures to build more complex programs that use Java’s object-oriented features. At the end of the course you will write an encryption program and a program to ...

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MITx-6.00.1x | Courses-

Posted: (52 years ago) Course Description This course is the first of a two-course sequence: Introduction to Computer Science and Programming Using Python, and Introduction to Computational Thinking and Data Science. Together, they are designed to help people with no prior exposure to computer science or programming learn to think computationally and write programs ...

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University of Maryland, College Park - Usable Security ...

Posted: (52 years ago) Course Description. This course focuses on how to design and build secure systems with a human-centric focus. We will look at basic principles of human-computer interaction, and apply these insights to the design of secure systems with the goal of developing security measures that respect human performance and their goals within a system.

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IBM: Python for Data Science | Courses-

Posted: (52 years ago) This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more! Data Analysis libraries: will learn to use Pandas, Numpy and Scipy libraries to ...

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The Hong Kong University of Science and Technology ...

Posted: (52 years ago) The course combines both python coding and statistical concepts and applies into analyzing financial data, such as stock data. Syllabus Visualizing and Munging Stock Data. Why do investment banks and consumer banks use Python to build quantitative models to predict returns and evaluate risks? What makes Python one of the most popular tools for ...

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deeplearning.ai - Convolutional Neural Networks in ...

Posted: (52 years ago) This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. In Course 2 of the deeplearning.ai TensorFlow Specialization, you will learn advanced techniques to improve the computer vision model you built in Course 1.

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IBM: Data Science Methodology | Courses-

Posted: (52 years ago) Course Description. This course has one purpose, and that is to share a methodology that can be used within data science, to ensure that the data used in problem solving is relevant and properly manipulated to address the question at hand. Accordingly, in this course, you will learn: - The major steps involved in tackling a data science problem ...

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IBM: Data Analysis with Python | Courses-

Posted: (52 years ago) Course Description. Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data …

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Google - Using Python to Interact with the Operating ...

Posted: (52 years ago) By the end of this course, you’ll be able to manipulate files and processes on your computer’s operating system. You’ll also have learned about regular expressions – a very powerful tool for processing text files – and you’ll get practice using the Linux command line on a virtual machine.

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EDHEC Business School - Advanced Portfolio Construction ...

Posted: (52 years ago) In this course, we cover the estimation, of risk and return parameters for meaningful portfolio decisions, and also introduce a variety of state-of-the-art portfolio construction techniques that have proven popular in investment management and portfolio construction due to their enhanced robustness.

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Imperial College London - Mathematics for Machine Learning ...

Posted: (52 years ago) The third course, Dimensionality Reduction with Principal Component Analysis, uses the mathematics from the first two courses to compress high-dimensional data. This course is of intermediate difficulty and will require Python and numpy knowledge.

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Duke University - Java Programming: Principles of Software ...

Posted: (52 years ago) Course Description. Solve real world problems with Java using multiple classes. Learn how to create programming solutions that scale using Java interfaces. Recognize that software engineering is more than writing code - it also involves logical thinking and design. By the end of this course you will have written a program that analyzes and ...

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University of California, San Diego - Object Oriented ...

Posted: (52 years ago) Course Description. This is an intermediate Java course. We recommend this course to learners who have previous experience in software development or a background in computer science. Our goal is that by the end of this course each and every one of you feels empowered to create a Java program that’s more advanced than any you have created in ...

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IBM: Data Visualization with Python | Courses-

Posted: (52 years ago) Course Description “A picture is worth a thousand words”. We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of …

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University of California, San Diego: Biology Meets ...

Posted: (52 years ago) Each of the four weeks in the course will consist of an interactive textbook provides Python programming challenges that arise from real biological problems. Syllabus Week 1. Where in the Genome Does Replication Begin? (Part 1) Week 2. Where in the Genome Does Replication Begin? (Part 2) Week 3. Which DNA Patterns Play the Role of Molecular ...

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EDHEC Business School - Investment Management with Python ...

Posted: (52 years ago) EDHEC Business School - Investment Management with Python and Machine Learning Specialization. INSTRUCTORS. Instructors: Gideon OZIK, John Mulvey - Princeton University, Lionel Martellini, PhD, Sean McOwen and Vijay Vaidyanathan, PhD

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Duke University: Java Programming: Solving Problems with ...

Posted: (52 years ago) Course Description. Learn to code in Java and improve your programming and problem-solving skills. You will learn to design algorithms as well as develop and debug programs. Using custom open-source classes, you will write programs that access and transform images, websites, and other types of data.

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Imperial College London - Mathematics for Machine Learning ...

Posted: (52 years ago) Then we’ll look at how to optimise our fitting function using chi-squared in the general case using the gradient descent method. Finally, we’ll look at how to do this easily in Python in just a few lines of code, which will wrap up the course. Courses-is maintained by …

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deeplearning.ai - TensorFlow in Practice Specialization ...

Posted: (52 years ago) In this four-course Specialization, you’ll explore exciting opportunities for AI applications. Begin by developing an understanding of how to build and train neural networks. Improve a network’s performance using convolutions as you train it to identify real-world images. You’ll teach machines to understand, analyze, and respond to human ...

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Imperial College London - Mathematics for Machine Learning ...

Posted: (52 years ago) At the end of this course you will have an intuitive understanding of vectors and matrices that will help you bridge the gap into linear algebra problems, and how to apply these concepts to machine learning. Syllabus Introduction to Linear Algebra and to Mathematics for Machine Learning.

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University of Washington - Machine Learning Specialization ...

Posted: (52 years ago) Applied Learning Project Learners will implement and apply predictive, classification, clustering, and information retrieval machine learning algorithms to real datasets throughout each course in the specialization. They will walk away with applied machine learning and Python programming experience. Courses- is maintained by salimt.

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IBM: Applied Data Science Capstone Project | Courses-

Posted: (52 years ago) Course Description. You will learn about location data and different location data providers, such as Foursquare. You will learn how to make RESTful API calls to the Foursquare API to retrieve data about venues in different neighborhoods around the world.

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Johns Hopkins University: Rails with Active Record and ...

Posted: (52 years ago) Course include Active Record-In this module, we will begin exploring the database-interaction portion of Rails. We will start off with migrations that enable you to create and modify the schema of the database. We will then move on to discussing the Active Record gem Rails uses, which enables you to create, retrieve, update, and delete the data ...

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EDHEC Business School - Portfolio Construction and ...

Posted: (52 years ago) This course provides an introduction to the underlying science, with the aim of giving you a thorough understanding of that scientific basis. However, instead of merely explaining the science, we help you build on that foundation in a practical manner, with an emphasis on the hands-on implementation of those ideas in the Python programming ...

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Python and Computer Memory

Posted: (52 years ago) Python and Computer Memory Computer Memory For the purpose of this course, you may think of computer memory as a long list of storage locations where each location is identified with a unique number and each location houses a value. This unique number is called a memory address.Typically, we will write memory addresses as a number with an "id" as a prefix to distinguish them from other …

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University of Washington - Machine Learning: Regression ...

Posted: (52 years ago) In this course, you will explore regularized linear regression models for the task of prediction and feature selection. You will be able to handle very large sets of features and select between models of various complexity. You will also analyze the impact of aspects of your data – such as outliers – on your selected models and predictions.

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