Learn Python - Free Interactive Python Tutorial MIT 6.S094: Deep Learning for Self-Driving Cars The Python Bible™ | Everything You Need to Program in Python "If you can take just one Python course, make sure it's this one." - A. Barbosa "I have tried many python courses on Udemy but this one is the best of them all." - Natalie "I have other python courses on Udemy but this one is the best by far. It explains things in a very hands on and easy to follow method that will have you understanding what you are doing in no time." - Robert Rodono "High Energy, Interesting and has a sense of humor making the material more comprehensible and clear." - Ronald Cosentino "It is more like a friend showing how to use a new toy than a professor reminding you of your ignorance." - Sylvester Pierce “I was highly impressed with the teaching. “The sessions have always been very engaging and structured in an effective manner. “Ziyad is and will always continue to be an excellent tutor.” - Jessie It's no secret that Project-based learning is proven to be the single most-effective way to learn any skill, but this is especially true for Programming! Hi, I'm Ziyad.
Interactive Dashboards and Data Apps with Plotly and Dash So far, we have discussed the basic structure of a Dash app and gone through a brief overview of its main elements: the imports, app instantiation, app layout, callbacks (which we will cover in the next chapter), and running the app. We created a bare-bones app, and then we learned how to add a few HTML elements to it. We are now ready to take our app to the next level—from a layout perspective. We will keep working with the app.layout attribute and control it in a more powerful and flexible way using the Dash Bootstrap Components package. Bootstrap is basically a set of tools that abstract away many details for handling the layout of web pages. Here are some of the most important benefits of using it: Themes: As we will see in a moment, changing the app's theme is as simple as providing an additional argument while instantiating the app. Let's explore these features one by one. Themes First, let's see how easy it is to change the theme of an app. Grid system and responsiveness Tip
Deep Learning Course ⇢ François Fleuret You can find here the materials for the EPFL course EE-559 “Deep Learning”. These documents are under heavy development, in particular due to pytorch updates. Please avoid to distribute the pdf files, and share the URL of this page instead. Info sheet: dlc-info-sheet.pdf We will use the pytorch framework for implementations. Thanks to Adam Paszke, Alexandre Nanchen, Xavier Glorot, Matus Telgarsky, and Diederik Kingma, for their help, comments, or remarks. Course material You will find here the slides I use to teach, which are full of “animations” and not convenient to print or use as notes, and the handouts, with two slides per pages. Practical session prologue Helper python prologue for the practical sessions: dlc_practical_prologue.py Lecture 1 (Feb 21, 2018) – Introduction and tensors Lecture 2 (Feb 28, 2018) – Machine learning fundamentals Empirical risk minimization, capacity, bias-variance dilemma, polynomial regression, k-means and PCA. Cross-entropy, L1 and L2 penalty.
Cooperative Learning: 7 Free PDF Assessment Instruments Introduction Evaluating cooperative learning activities may seem like a Herculean task. But, actually it's not. Like any other assessment, you must determine in advance what you would like to assess and to what degree. Do you want to evaluate individual success, group success or perhaps, cooperative skills? Actually, I think you may find that it's useful to evaluate all three. I'm relatively sure what you may be thinking here. We teachers already have full plates--with all of the paperwork, lesson planning, endless paper grading, and the myriad of other things that are demanded of us, we just don't need something else to do. However, as you know from your own experiences, kids EXPECT to be evaluated. Pity the poor teacher who would respond to that question with, "No, but this will make great practice." The kids, of course, would immediately shut down. What follows on this page is a small collection of assessment tools that can be used for cooperative learning. Quick Links for THIS Page
30 Python Best Practices, Tips, And Tricks With the holidays behind us, most of us have returned to our day jobs. For all those hard workers, here are 30 Python best practices, tips, and tricks. I’m sure they’ll help you procrastinate your actual work, and still learn something useful in the process. In case you missed it: Python 2 is officially not supported as of January 1, 2020. This guide has a bunch of examples that only work in Python 3. If you’re still on Python 2.7, upgrade now. If you’re on MacOS, you can use Homebrew to painlessly upgrade Python. You can check for the Python version in your code, to make sure your users are not running your script with an incompatible version. IPython is basically an enhanced shell. Read the full list here. Another useful feature is referencing the output of a previous command. Install IPython with: pip3 install ipython A list comprehension can replace ugly for loops used to fill a list. [ expression for item in list if conditional ] Or even call an external function: pip3 install emoji
CS446: Fall 2017 - RELATE Course Description The goal of Machine Learning is to build computer systems that can adapt and learn from their experience. This course will study the theory and application of learning methods that have proved valuable and successful in practical applications. We review the theory of machine learning in order to get a good understanding of the basic issues in this area, and present the main paradigms and techniques needed to obtain successful performance in application areas such as natural language and text understanding, speech recognition, computer vision, data mining, adaptive computer systems and others. The main body of the course will review several supervised and (semi/un)supervised learning approaches. Topics to be covered include: Required text Text: Kevin Murphy, Machine Learning: A Probabilistic Perspective, MIT Press Exams Exam will be in class exam with 75 minutes. Homework Please see the class calendar for homework deadlines. Scribe Scribe Submission Project Project Description
Customer Care Executive Call Centre Courses | Migsun Kaushalam Job Description Individuals at this job provide customer service support to an organization by interacting with their customers over the phone. They also handle, follow and resolve customer’s queries, requests and complaints in a timely manner. Attend/make customer calls Understand Call centre specific concepts Resolving customer query, request, and complaint Provide information regarding products and services to the customer Handle and resolve customer’s complaints/requests Capture/take notes of customer interaction in the Customer Relationship Management (CRM) tool/software Monitor and manage key performance through reports and review Develop customer relationship Develop soft skills and professional skills Understand technical skills (CRM software) Learn the concept of proactive selling Understand Interview and its related FAQ’s Customer Service Representative/ Customer Service Associate / Customer Service Advisor / Customer Relationship Officers / Call Centre Executive