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October 2020

Learning Deep Learning with PyTorch (3) Knowing PyTorch

October 22, 2020 @ 10:00 am
Zoom

This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well. In the third session of the series, we will introduce PyTorch deep learning framework, illustrate the basic usage of tensors and automatic differentiation, and solve a simple temperature-conversion problem using PyTorch...

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Introduction to Data Visualization

October 20, 2020 @ 2:00 pm - 4:00 pm
Zoom
Free

Please RVSP here. Workshop will be conducted in Zoom in PST time. Invites are sent out the day before the workshop. There are many ways to communicate the results of research. Visually representing data provides a valuable perspective within an academic argument. Data visualizations provide an overview or snapshot of a dataset, draw attention to outliers, demonstrate trends, or simply help us to understand our data better. Functioning as evidentiary support, data visualizations can sharpen key research findings. They can…

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Learning Deep Learning with PyTorch (2) Mechanics of Learning

October 20, 2020 @ 10:00 am
Zoom

This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well. In the second session of the series, we will look into the procedures of working on a general deep learning project, especially on how to train a deep neural network...

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Introduction to SAS

October 19, 2020 @ 1:00 pm - 4:00 pm
Zoom
Free

Please RVSP here.  Workshop will be conducted in Zoom. Invites are sent out the day before the workshop. SAS is a powerful statistical package that runs on many platforms, including Windows and Unix. This class is designed for people who are just getting started using SAS. The students in the class will have a hands-on experience using SAS for statistics, graphics, and data management. The SAS class notes do not contain any of the computer output. The class notes are…

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Running Applications on the Hoffman2 Cluster: Introduction

October 19, 2020 @ 10:00 am - 12:00 pm
Zoom

The Hoffman2 cluster is a powerful computational resource for the UCLA research community. This workshop is part of a three-seminar series designed to introduce users to the Hoffman2 cluster environment and to clarify the process of porting applications or using applications already available on the cluster. It also addresses how to port your workflow to the Hoffman2 and how to submit batch and run interactive applications. This introductory workshop addresses the specifics of the Hoffman2 cluster set-up, it provides a…

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Learning Deep Learning with PyTorch (1) Introduction

October 15, 2020 @ 10:00 am
Zoom

This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well. In the first session of the series, we will give a broad introduction about deep learning and neural network. No specific prerequisite is required.

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August 2020

An In-Depth Introduction to Google Colab — Discovering how to use free CPU/GPU for coding and teaching

August 27, 2020 @ 10:00 am - 11:30 am
Zoom

As Jupyter Notebook is becoming more and more popular for data scientists, researchers and software engineers, many people may have already heard about Google Colab. As one of the most famous cloud services for machine learning, Colab features FREE access to GPU and TPU computing. But do you know you can use Colab for various scripting languages beyond Python (like R, Julia or Javascript)? Do you realize that Colab can actually provide a democratized and parallel-programming environment of teaching for…

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Rebel Mapping: Critical Cartography

August 25, 2020 @ 2:00 pm - 4:00 pm
Zoom
Free

Learn how to break the rules of mapmaking! This workshop’s main lecture introduces disruptive mapping practices from critical cartography and indigenous critical theory and applies them to crafting a story on Esri StoryMaps platform. The technical tools include learning how to set up an Esri Public Account, incorporating media and external digital content, and highlighting the various building blocks within Esri StoryMaps. Participants are encouraged to walk away contemplating their role as a data analyst and question power relationships with…

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Managing Python and R Packages Using Conda on Hoffman2 Cluster

August 20, 2020 @ 10:00 am - 12:00 pm
Zoom

Anaconda is a popular, free, and open-source distribution of Python and R packages for scientific computing and data analysis. Many users prefer using Anaconda on the personal computer instead of manually installing individual packages not only for convenience but also for taking advantage of Anaconda's ability to resolve version conflicts and package dependencies. On the Hoffman2 cluster, however, the environment is structurally different from that of a personal computer; there are other best practices to be considered. For example, while…

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Running Applications on the Hoffman2 Cluster – Case Studies

August 19, 2020 @ 12:00 pm - 2:00 pm
Zoom
Free

The Hoffman2 Cluster is a powerful computational resource for the UCLA research community. This workshop is designed to: 1) introduce users to the Hoffman2 Cluster environment and clarify the process of porting applications or using applications already available on the cluster; 2) demonstrate how to submit batch jobs, run interactive applications and monitor resource utilization; 3) showcase specific workflow classes (e.g., multicore, parallel and job array submissions); 4) illustrate the process of creating MATLAB standalone executables and running MATLAB in…

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Introduction to Data Science with Python Part 2

August 19, 2020 @ 9:00 am - 11:00 am
Zoom
Free

The term "data science" has become a ubiquitous and all-encompassing term to address any field that utilizes data analytics in one form or another. Despite having such a broad mandate, certain elements remain consistent in the approach to data science that are interdisciplinary: data acquisition, data exploration, data modeling, and data communication. In this two-part workshop series, we introduce data science approaches that are fundamental regardless of your discipline. Part 1 will focus on how to get, clean, structure, and…

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Introduction to Data Science with Python Part 1

August 18, 2020 @ 9:00 am - 11:00 am
Zoom
Free

The term "data science" has become a ubiquitous and all-encompassing term to address any field that utilizes data analytics in one form or another. Despite having such a broad mandate, certain elements remain consistent in the approach to data science that are interdisciplinary: data acquisition, data exploration, data modeling, and data communication. In this two-part workshop series, we introduce data science approaches that are fundamental regardless of your discipline. Part 1 will focus on how to get, clean, structure, and…

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Introduction to Survey Data Analysis in R

August 17, 2020 @ 1:00 pm - 4:00 pm
Zoom
Free

This workshop will show how descriptive analyses, both numerical and graphical, can be done with continuous and categorical variables. Subpopulation analysis will be discussed, and then examples of OLS regression and logistic regression will be considered. Attendance is restricted to researchers from the University of California.  The information for the Zoom meeting will be sent the day before the workshop. The notes for the workshop are will be posted soon. If you have any further questions regarding the workshop, please…

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Essential Command Line Tools in HPC Environments

August 13, 2020 @ 10:00 am - 12:00 pm
Zoom

On macOS, Linux, or Windows with Cygwin, or other POSIX-compliant environments,​ a number of versatile, time-tested command-line open-source tools with text-based user interface (TUI) are available to support performing common tasks that arise in advanced computation or data analysis. Unlike their graphical user interface (GUI) counterparts, which appear to be prevalent in today's computing environments, these command-line tools can achieve (almost) infinite flexibility, efficiency, and reproducibility if used properly. For example, when connecting with a remote server (e.g. a computing…

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Running Applications on the Hoffman2 Cluster – Intro

August 12, 2020 @ 12:00 pm - 2:00 pm
Zoom
Free

Description coming soon.   If you have any further questions regarding the workshop, please contact instructor Raffaella D'Auria.

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Introduction to Three Dimensional Graphing and WebVR

August 11, 2020 @ 2:00 pm - 4:00 pm
Zoom
Free

We are increasingly sharing our data and research in virtual environments. WebVR (or WebXR as it’s now known) is an open standard that allows 3D / virtual reality (VR) experiences to be produced through your browser. It also aims to make your immersive data platform-agnostic, so it will be portable to whatever device you have. In this workshop, you will be introduced to ways to graph three dimensional data. You will also be shown how to bring that 3D graph…

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National Leadership Class Computing Resources and Opportunities for UCLA Researchers

August 7, 2020 @ 11:00 am - 12:00 pm
Zoom

The Department of Energy, National Science Foundation, and the National Aeronautical Space Agency support an ecosystem of “leadership class” computing facilities housing some of the world’s most advanced supercomputers and high-end visualization and data analysis resources. These facilities provide “free” computing cycles at scale and storage to researchers from academia. Access to these resources is obtained through an application process based on the merit of the research objectives and demonstration of the efficacy and parallel scalability of the software. This…

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Deep Learning in Medicine

August 6, 2020 @ 10:00 am - 12:00 pm
Zoom

Recent years have witnessed a dramatic resurgence of interest in applying deep learning in various research and application areas. In this 2 hour session, we will present a broad and high-level overview on what deep-learning technologies can do for the domains of medicine and healthcare. Our discussion will focus on the three major application fields: medical imaging analysis, natural language processing and deep reinforcement learning. In each field, some of the landscape will be sketched by taking a brief literature…

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Introduction to GIS for the Social Sciences

August 4, 2020 @ 2:00 pm - 4:00 pm
Zoom
Free

QGIS workshop for processing and visualizing demographic census data, commonly used in the social sciences.   If you have any further questions regarding the workshop, please contact instructor Albert Kochaphum.

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Multiple Imputation in Stata

August 3, 2020 @ 1:00 pm - 4:00 pm
Zoom
Free

The purpose of this workshop is to discuss commonly used techniques for handling missing data and common issues that could arise when these techniques are used. In particular, we will focus on the one of the most popular methods, multiple imputation and how to perform it in Stata. The Stata code for this seminar is developed using Stata 15. Attendance is restricted to researchers from the University of California.  The information for the Zoom meeting will be sent the day…

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July 2020

Introduction to SQL

July 28, 2020 @ 9:00 am - 12:00 pm
Zoom

SQL is a standard language designed to query and extract data from tables stored in a database.  In this short class, you will learn how to store, query, and manipulate data with SQL, and you will gain exposure to the fundamentals of SQL and relational database management systems. Register in advance:  Please REGISTER using the Zoom Meeting Link before joining! If you have questions regarding the workshop, please contact Ben Winjum.  

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Introduction to GIS/Spatial Research with Python

July 21, 2020 @ 9:00 am - 11:00 am
Zoom

Register in advance: Please REGISTER using the Zoom Meeting Link before joining!   There are no pre-requisites to take this workshops, but it is recommended that you take the following two workshops: Introduction to Jupyter Version control with git As members of an academic community with a myriad of research initiatives, the need to map information, to spatially analyze, to geoprocess, and to visualize space and time is becoming ubiquitous. But how do you get started? The answer to this…

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Version Control with Git

July 14, 2020 @ 9:00 am - 12:00 pm
Zoom

Git is a software tool that helps users manage changes to their software over time. Git will allow you to maintain a complete change history of every file, create branches for concurrent streams of changes, trace changes with annotations, and collaborate and share work with others. This interactive introduction will demonstrate how to use Git to track changes, to explore history, and to use web-based Git repositories to share work with others and collaborate. Register in advance:  Please REGISTER using the…

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Introduction to Jupyter

July 7, 2020 @ 9:00 am - 11:00 am
Zoom

The Jupyter Notebook is a computing tool that allows users to edit and run Python, R, Julia (and many other programming languages) inside a web browser. Furthermore, it is a powerful tool that allows users to combine live code, text, and visualizations in an interactive, shareable, reproducible document. It is a popular tool in many scientific and research disciplines as a data exploration and analysis tool that encourages collaboration and reproducible science. This class will provide an interactive demonstration showing…

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June 2020

Epidemic Model Guided Machine Learning for COVID-19 Forecasts

June 5, 2020 @ 12:00 pm - 1:00 pm
Zoom

Time:  12:00 PM – 1:00 PM Date: June 05, 2020 Location:  Zoom (you will receive an email after your rsvp) RSVP HERE Link to the presentation's recording and slides Abstract: The novel coronavirus (COVID-19), which causes an acute respiratory disease in humans, has emerged as a global pandemic, and caused an over 250,000 death toll in the world. Our lab recently launched a project (https://covid19.uclaml.org) to use machine learning to better understand the spread of COVID-19 and further facilitate the…

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May 2020

Running Applications on the Hoffman2 Cluster: Part II

May 27, 2020 @ 10:00 am - 12:00 pm
Zoom
Free

This class will address the process of creating MATLab standalone executables and running MATLab in batch, as well as running Abaqus python scripts. It will give examples of how to submit array jobs using Abaqus, R and other applications. Can my simulations be submitted as array jobs? Bring your own problem. Also, Jupyter Notebooks: another way to run python and R on Hoffman2. Information for the Zoom meeting will be emailed the day before the workshop.  If you have questions…

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Talk: “Power and Sample Size” with Stata Corp’s Chuck Huber

May 26, 2020 @ 9:00 am - 12:00 pm
Zoom
Free

In this talk, I introduce the concepts and jargon of power and sample size calculations such as alpha levels, power, and minimum detectable effect sizes.  I do several simple calculations manually and then demonstrate how to replicate these calculations using Stata's -power- commands.  Next, I demonstrate how to create tables and graphs for power, sample size, and minimum detectable effect sizes for a range of values. We will conclude with a discussion of strategies to increase statistical power. The second…

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Using SQL with Python for Data Analysis

May 22, 2020 @ 10:00 am - 12:00 pm
Zoom

SQL is a standard language designed to query and extract data from tables stored in a database.  Python, on the other hand, has well-known libraries specially designed for data analysis and manipulation.  This course will introduce attendees to the basics of SQL, relational database management systems, and options for integrating these with Python for data analysis.  No prior experience with SQL will be assumed;  prior experience with Python will be useful. Please REGISTER using Zoom Meeting Link before joining! If you have…

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Running Applications on the Hoffman2 Cluster: Part I

May 20, 2020 @ 10:00 am - 12:00 pm
Zoom
Free

The Hoffman2 cluster is a powerful computational resource for the UCLA research community. This class is designed to clarify the process of getting started on the cluster, navigating the command line and porting your own applications or using applications already available on the cluster. It also addresses how to import your workflow to Hoffman2 and how to submit batch and run interactive applications. Information for the Zoom meeting will be emailed the day before the workshop.  If you have questions…

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A Practical Introduction to Factor Analysis in SPSS

May 18, 2020 @ 1:00 pm - 4:00 pm
Zoom
Free

This workshop will give a practical overview of exploratory (EFA) in SPSS. Topics to be covered include factor extraction, principal components analysis, estimation methods, factor rotation, refining the factor structure, and generating factor scores for subsequent analyses. The notes for the workshop are here.  This workshop will not be hands-on. Attendance is restricted to researchers from the University of California.  The information for the Zoom meeting will be sent the day before the workshop.

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Exploring Data and Machine Learning with Interactive Python Tools

May 15, 2020 @ 10:00 am - 12:00 pm
Zoom

This course will teach attendees how to build interactive widgets and visualizations for exploring equations, datasets, and machine learning models. This course will touch on several machine learning tools in Python, but the primary goal will be to give attendees a foundation in tools that can be useful in exploring datasets and conceptualizing models. Basic familiarity with Python will be useful. Please REGISTER using Zoom Meeting Link before joining! If you have questions regarding the workshop, please contact the instructor Ben Winjum.

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Rebel Story Mapping: Critical Perspectives on Data Visualizations

May 13, 2020 @ 2:00 pm - 4:00 pm
Zoom
Free

Learn how to break the rules of mapmaking! This workshop's main lecture introduces disruptive mapping practices from critical cartography and indigenous critical theory and applies them to a Critical COVID-19 Story map built on Esri StoryMaps platform. The technical portion focuses on learning how to set up an Esri Public Account, incorporating media and external digital content, and highlighting the various building blocks within Esri StoryMaps. Participants are encouraged to walk away contemplating their role as a data analyst and…

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Data Processing and Visualization using MATLAB

May 12, 2020 @ 10:00 am - 12:00 pm
Zoom

MATLAB, developed by MathWorks, has been used in research and the industry for computations, simulations, data analysis and visualization across multiple disciplines such as physical sciences, engineering, economics, and biomedical fields. This class will discuss and demonstrate how to import data, perform data analysis, trend analysis, and various data/file exchange formats using the MATLAB desktop command and graphical interface. It will also demonstrate visualization techniques to present the results in appropriate forms, such as 2D or 3D graphs and animation.…

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R Data Management

May 11, 2020 @ 1:00 pm - 4:00 pm
Zoom
Free

This workshop introduces R packages and functions that help users import, transform and manage their data in preparation for analysis.   The seminar focuses on the “tidy data” philosophy encouraged y the “tidyverse” collection of R packages, but draws on other packages for useful functions as needed.  Topics include data import, transforming variables, string functions, missing data, merging datasets, reshaping data, grouped data processing, and looping. The notes for the workshop are here.  This workshop will not be hands-on. Attendance is…

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Learning Deep Learning with PyTorch (6) Recurrent Neural Networks and LSTM

May 7, 2020 @ 10:00 am - 11:30 am
Zoom

This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well. In the sixth session of the series, we will introduce recurrent neural networks (RNNs) and illustrate how…

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Introduction to Mplus

May 4, 2020 @ 1:00 pm - 4:00 pm
Zoom
Free

Mplus is a powerful statistical package used for the analysis of latent variables. Among the kinds of analysis it can perform are exploratory factor analysis, confirmatory factor analysis, latent class analysis, latent growth curve modeling, structural equation modeling and multilevel modeling. The program can handle a combination of categorical and continuous variables and often permits missing data. It integrates these analyses into a single framework where you can combine techniques like growth curve modeling and latent class analysis to ask…

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Learning Deep Learning with PyTorch (5) Data Augmentation and Transfer Learning

May 4, 2020 @ 10:00 am - 11:30 am
Zoom

This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well. In the fifth session of the series, we will introduce data augmentation and transfer learning techniques to…

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April 2020

Learning Deep Learning with PyTorch (4) Convolutional Neural Networks

April 29, 2020 @ 10:00 am - 11:30 am
Zoom

This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well. In the fourth session of the series, we will introduce convolutional neural network and learn how to…

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Intro to GIS: Getting Started with Spatial Research

April 29, 2020 @ 9:00 am - 12:00 pm
Zoom
Free

As members of an academic community with a myriad of research initiatives, the need to map information, to spatially analyze, to geoprocess, and to visualize space and time is becoming ubiquitous. But how do you get started? The answer to this question largely depends on what you want to map, and how you want to create your map. The what is usually easy. It is driven by your passion to pursue a research question and to have maps assist in the development of an argument. The how is…

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Introduction to ggplot2

April 27, 2020 @ 1:00 pm - 4:00 pm
Zoom
Free

The ggplot2 package is a widely-used and well-supported system for creating eye-catching graphics in R.  In this interactive workshop, you will learn the underlying grammar of graphics that forms the philosophical framework of ggplot2, giving you the power to create publication-quality figures intuitively.  The workshop is interactive, in which attendees are encouraged to participate in R coding to create their own statistical graphics. The notes for the workshop are here.  This workshop will be hands-on.  Attendees should have R and…

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Learning Deep Learning with PyTorch (3) Knowing PyTorch

April 23, 2020 @ 10:00 am - 11:30 am
Zoom

This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well. In the third session of the series, we will introduce PyTorch deep learning framework, illustrate the basic…

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IDRE-Early Career Researchers Group Meeting

April 22, 2020 @ 12:00 pm - 1:00 pm
Zoom

Time:  12:00 PM - 1:00 PM Date: April 22, 2020 Location:  Zoom (the meeting link will be sent to you once you rsvp below) RSVP HERE IDRE is happy to reschedule the first lunch meeting for the IDRE Early Career Research Group to April 22, 2020. Although this first meeting is going to be virtual, through zoom, our goal remains the same, i.e., to establish a series of meetings, where you will have an opportunity to share ideas, ask questions,…

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Learning Deep Learning with PyTorch (2) Mechanics of Deep Learning

April 20, 2020 @ 10:00 am - 11:30 am
Zoom

This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well. In the second session of the series, we will look into the procedures of working on a…

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Learning Deep Learning with PyTorch (1) Introduction

April 16, 2020 @ 10:00 am - 11:30 am
Zoom

This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well. In the first session of the series, we will give a broad introduction about deep learning and…

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March 2020

Accessibility Testing Training

March 18, 2020 @ 11:00 am - 12:00 pm
Zoom

In this live hour-long webinar the UCLA Disabilities and Computing Program will introduce the basics of accessibility testing. The ability to identify accessibility errors is the first step in making your content accessible.  This class will focus on HTML accessibility and Document accessibility testing. Learning Outcomes By the end of this training you should be able to: Describe the importance of accessibility testing Tab test a website Turn on VO or NVDA Download and run the Wave plug in for…

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Running Applications on the Hoffman2 Cluster: Part II

March 5, 2020 @ 1:30 pm - 3:30 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
+ Google Map
Free

This class will address the process of creating Matlab standalone executables and running Matlab in batch, as well as running Abaqus python scripts. Example of how to submit array jobs using Abaqus, R and other applications. Can my simulations be submitted as array jobs? Bring your own problem. Also, Jupyter Notebooks: another way to run python and R on Hoffman2. If you have questions regarding the workshop, please contact the instructor Raffaella D'Auria

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Accessibility Basics Training

March 4, 2020 @ 11:00 am - 12:00 pm
Zoom

People who are blind, low-vision or have dyslexia rely on assistive technologies and screenreading software to “read text out loud” to them. However, many documents and websites created are completely inaccessible or just frustrating for screenreader users. Learn accessible design and content management tools to make it easier for people with disabilities to engage with your website content and documents. RSVP for Event

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Learning Deep Learning with PyTorch (5) Transfer Learning

March 4, 2020 @ 11:00 am - 12:00 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
+ Google Map
Free

This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well. In the fifth session of the series, we will introduce transfer learning technology to use pre-trained models…

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XSEDE HPC Workshop: GPU Programming Using OpenACC

March 3, 2020 @ 8:00 am - 2:00 pm
IDRE Visualization Portal, Math Sciences Building 5628, 520 Portola Plaza
Los Angeles, CA 90095 United States
+ Google Map

UCLA-IDRE along with XSEDE and Pittsburgh Supercomputing Center is pleased to announce an OpenACC GPU Programming workshop on March 3, 2020, 8 AM- 2 PM PDT. OpenACC is the accepted standard using compiler directives to allow quick development of GPU capable codes using standard languages and compilers. It has been used with great success to accelerate real applications within very short development periods. This workshop assumes knowledge of either C or Fortran programming. It will have a hands-on component using…

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February 2020

Learning Deep Learning with PyTorch (4) Convolutional Neural Networks

February 28, 2020 @ 11:00 am - 12:00 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
+ Google Map
Free

This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well. In the fourth session of the series, we will introduce convolutional neural network and learning how to…

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