Dicanio Rol

Dicanio Rol

1596705634

Top 10 Free Resources To Learn AWS

Amazon Web Services is one of the most widely adopted cloud platforms among developers. It has many benefits, such as it is designed to allow developers and vendors to host the applications in a fast and secure manner. It enables the user to select the operating system, database, programming language, is user-friendly, among others. Having knowledge about AWS, therefore, plays to your advantage while applying for data science job roles.

Here we list down the top 10 free resources which can help data science enthusiasts and professionals to learn AWS.

#aws #aws cloud #amazon web services

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Top 10 Free Resources To Learn AWS
Houston  Sipes

Houston Sipes

1600430400

10 Free Online Resources To Learn Swift Language

Swift is a fast and efficient general-purpose programming language that provides real-time feedback and can be seamlessly incorporated into existing Objective-C code. This is why developers are able to write safer, more reliable code while saving time. It aims to be the best language that can be used for various purposes ranging from systems programming to mobile as well as desktop apps and scaling up to cloud services.

Below here, we list down the 10 best online resources to learn Swift language.

(The list is in no particular order)

#developers corner #free online resources to learn swift language #learn swift #learn swift free #learn swift online free #resources to learn swift #swift language #swift programming

Lokesh Kumar

1603438098

Top 10 Trending Technologies Must Learn in 2021 | igmGuru

Technology has taken a place of more productiveness and give the best to the world. In the current situation, everything is done through the technical process, you don’t have to bother about doing task, everything will be done automatically.This is an article which has some important technologies which are new in the market are explained according to the career preferences. So let’s have a look into the top trending technologies followed in 2021 and its impression in the coming future in the world.

  1. Data Science
    First in the list of newest technologies is surprisingly Data Science. Data Science is the automation that helps to be reasonable for complicated data. The data is produces in a very large amount every day by several companies which comprise sales data, customer profile information, server data, business data, and financial structures. Almost all of the data which is in the form of big data is very indeterminate. The character of a data scientist is to convert the indeterminate datasets into determinate datasets. Then these structured data will examine to recognize trends and patterns. These trends and patterns are beneficial to understand the company’s business performance, customer retention, and how they can be enhanced.

  2. DevOps
    Next one is DevOps, This technology is a mixture of two different things and they are development (Dev) and operations (Ops). This process and technology provide value to their customers in a continuous manner. This technology plays an important role in different aspects and they can be- IT operations, development, security, quality, and engineering to synchronize and cooperate to develop the best and more definitive products. By embracing a culture of DevOps with creative tools and techniques, because through that company will gain the capacity to preferable comeback to consumer requirement, expand the confidence in the request they construct, and accomplish business goals faster. This makes DevOps come into the top 10 trending technologies.

  3. Machine learning
    Next one is Machine learning which is constantly established in all the categories of companies or industries, generating a high command for skilled professionals. The machine learning retailing business is looking forward to enlarging to $8.81 billion by 2022. Machine learning practices is basically use for data mining, data analytics, and pattern recognition. In today’s scenario, Machine learning has its own reputed place in the industry. This makes machine learning come into the top 10 trending technologies. Get the best machine learning course and make yourself future-ready.

To want to know more click on Top 10 Trending Technologies in 2021

You may also read more blogs mentioned below

How to Become a Salesforce Developer

Python VS R Programming

The Scope of Hadoop and Big Data in 2021

#top trending technologies #top 10 trending technologies #top 10 trending technologies in 2021 #top trending technologies in 2021 #top 5 trending technologies in 2021 #top 5 trending technologies

Mikel  Okuneva

Mikel Okuneva

1603735200

Top 10 Deep Learning Sessions To Look Forward To At DVDC 2020

The Deep Learning DevCon 2020, DLDC 2020, has exciting talks and sessions around the latest developments in the field of deep learning, that will not only be interesting for professionals of this field but also for the enthusiasts who are willing to make a career in the field of deep learning. The two-day conference scheduled for 29th and 30th October will host paper presentations, tech talks, workshops that will uncover some interesting developments as well as the latest research and advancement of this area. Further to this, with deep learning gaining massive traction, this conference will highlight some fascinating use cases across the world.

Here are ten interesting talks and sessions of DLDC 2020 that one should definitely attend:

Also Read: Why Deep Learning DevCon Comes At The Right Time


Adversarial Robustness in Deep Learning

By Dipanjan Sarkar

**About: **Adversarial Robustness in Deep Learning is a session presented by Dipanjan Sarkar, a Data Science Lead at Applied Materials, as well as a Google Developer Expert in Machine Learning. In this session, he will focus on the adversarial robustness in the field of deep learning, where he talks about its importance, different types of adversarial attacks, and will showcase some ways to train the neural networks with adversarial realisation. Considering abstract deep learning has brought us tremendous achievements in the fields of computer vision and natural language processing, this talk will be really interesting for people working in this area. With this session, the attendees will have a comprehensive understanding of adversarial perturbations in the field of deep learning and ways to deal with them with common recipes.

Read an interview with Dipanjan Sarkar.

Imbalance Handling with Combination of Deep Variational Autoencoder and NEATER

By Divye Singh

**About: **Imbalance Handling with Combination of Deep Variational Autoencoder and NEATER is a paper presentation by Divye Singh, who has a masters in technology degree in Mathematical Modeling and Simulation and has the interest to research in the field of artificial intelligence, learning-based systems, machine learning, etc. In this paper presentation, he will talk about the common problem of class imbalance in medical diagnosis and anomaly detection, and how the problem can be solved with a deep learning framework. The talk focuses on the paper, where he has proposed a synergistic over-sampling method generating informative synthetic minority class data by filtering the noise from the over-sampled examples. Further, he will also showcase the experimental results on several real-life imbalanced datasets to prove the effectiveness of the proposed method for binary classification problems.

Default Rate Prediction Models for Self-Employment in Korea using Ridge, Random Forest & Deep Neural Network

By Dongsuk Hong

About: This is a paper presentation given by Dongsuk Hong, who is a PhD in Computer Science, and works in the big data centre of Korea Credit Information Services. This talk will introduce the attendees with machine learning and deep learning models for predicting self-employment default rates using credit information. He will talk about the study, where the DNN model is implemented for two purposes — a sub-model for the selection of credit information variables; and works for cascading to the final model that predicts default rates. Hong’s main research area is data analysis of credit information, where she is particularly interested in evaluating the performance of prediction models based on machine learning and deep learning. This talk will be interesting for the deep learning practitioners who are willing to make a career in this field.


#opinions #attend dldc 2020 #deep learning #deep learning sessions #deep learning talks #dldc 2020 #top deep learning sessions at dldc 2020 #top deep learning talks at dldc 2020

Vaughn  Sauer

Vaughn Sauer

1622792520

Top Free Resources To Learn Scikit-Learn

Scikit-Learn is one of the popular software machine learning libraries. The library is built on top of NumPy, SciPy, and Matplotlib and supports supervised and unsupervised learning as well as provides various tools for model fitting, data preprocessing, model selection and evaluation.

Scikit-Learn Tutorials

About: From the developers of Scikit-Learn, this tutorial provides an introduction to machine learning with Scikit-Learn. It includes topics such as problem setting, loading an example dataset, learning and predicting. The tutorial is suitable for both beginners and advanced students.

Perform Sentiment Analysis with Scikit-Learn

**About: **In this project-based course, you will learn the fundamentals of sentiment analysis, and build a logistic regression model to classify movie reviews as either positive or negative. You will learn how to develop and employ a logistic regression classifier using Scikit-Learn, perform feature extraction with The Natural Language Toolkit (NLTK), tune model hyperparameters and evaluate model accuracy etc.

Python Machine Learning: Scikit-Learn Tutorial

**About: **Python Machine Learning: Scikit-Learn tutorial will help you learn the basics of Python machine learning. You will learn how to use Python and its libraries to explore your data with the help of Matplotlib and Principal Component Analysis (PCA). You will also learn how to work with the KMeans algorithm to construct an unsupervised model, fit this model to your data, predict values, and validate the model.

Scikit Learn Tutorial | Machine Learning with Python

**About: **Edureka’s video tutorial introduces machine learning in Python. It will take you through regression and clustering techniques along with a demo of SVM classification on the famous iris dataset. This video helps you to learn the introduction to Scikit-learn and how to install it, understand how machine learning works, among other things.

Regression using Scikit-Learn

About: In this Coursera offering, you will learn about Linear Regression, Regression using Random Forest Algorithm, Regression using Support Vector Machine Algorithm. Scikit-Learn provides a comprehensive array of tools for building regression models.

Machine Learning with Scikit-Learn Tutorial

About: In this course, you will learn about machine learning, algorithms, and how Scikit-Learn makes it all so easy. You will get to know the machine learning approach, jargons to understand a dataset, features of supervised and unsupervised learning models, algorithms such as regression, classification, clustering, and dimensionality reduction.

Predict Sales Revenue with Scikit-Learn

About: In this two-hour long project-based course, you will build and evaluate a simple linear regression model using Python. You will employ the Scikit-Learn module for calculating the linear regression while using pandas for data management and seaborn for plotting. By the end of this course, you will be able to build a simple linear regression model in Python with Scikit-Learn, employ Exploratory Data Analysis (EDA) to small data sets with seaborn and pandas.

SciPy 2016 Scikit-learn Tutorial

**About: **This tutorial is available on GitHub. It includes an introduction to machine learning with sample applications, data formats, preparation and representation, supervised learning: training and test data, the Scikit-Learn estimator interface and more.

Build NLP pipelines using Scikit-Learn

About: This is a two-hour long project-based course, where you will understand the business problem and the dataset and learn how to generate a hypothesis to create new features based on existing data. You will learn to perform text pre-processing and create custom transformers to generate new features. You will also learn to implement an NLP pipeline, create custom transformers and build a text classification model.

#developers corner #learn scikit-learn #machine learning library #scikit learn

AWS Cloud Practitioner Course | NetCom Learning

As the world reels under this economic meltdown caused by the pandemic, experts suggest that a rebound spearheaded by the technology sector is expected in the coming year. When every business, every service and every brick-and-mortar store was shut down, the ‘online’ or the ‘cloud’ helped salvage the situation for many across the world. This year saw many organizations embracing the cloud with a view to keep their businesses afloat amid the cloud of uncertainties. However, the challenge of finding skilled manpower still lurks on the fate of this hopeful prediction. Economic reconstruction and the situation of the job market greatly depend on the probability of sourcing the right talent to fill these positions with specialized skillsets.

Why Cloud Computing

Whether you’re ordering food online, watching your favorite show on a video streaming app, paying your credit card bill through online banking, or participating in a virtual event – all these and many other tasks that you accomplish everyday using a smartphone or internet – actually depend on services that run on a cloud platform. For many organizations, the need to get their workforce trained on cloud does not only apply to IT or technical staff. In fact, investing in cloud training for an employee of any vertical - marketing, sales, operations, finance, or even HR – is being the trigger that accelerates collaboration to reach the end business goal. Apart from that, an organization’s cloud acumen helps increase employee confidence and ability to innovate and experiment.

Gain Entry-level Cloud Skills with AWS Cloud Practitioner Course

AWS Certified Cloud Practitioner Training is the right path to get certified and begin a fruitful and rewarding cloud journey. It builds a solid foundation of cloud skills and prepares the learners for more sophisticated and technical cloud certifications. The best thing about this Amazon Cloud Practitioner certification is that anyone can acquire valuable cloud skills irrespective of their technical or non-technical background. No programming or coding experience or knowledge is required as a pre-requisite in order to enroll for AWS cloud Practitioner Essentials Course.
If you are new to cloud, have a non-technical background, or wish to learn the basic working knowledge of cloud, the AWS Certified Cloud Practitioner Training can be your starting point.

Here is what you or your employees learn when you enroll for an AWS Cloud Practitioner Course:

• What is AWS Cloud?
• Fundamentals of operating and deploying AWS Cloud
• Global architecture and architectural principles of AWS cloud
• AWS Cloud value proposition
• Key services and some common use cases of AWS platform
• AWS security and compliance
• AWS shared security model
• AWS platform’s billing, account management, and pricing models

**### Where to Get Training on AWS Cloud Practitioner Essentials **

The pandemic may have brought the world to a standstill, but it sure has proved to be a boon for those interested in learning new skills. It is a golden period to acquire valuable skills that help an individual take a step further in their professional or personal growth. Internet has played a huge role in this area as well. For those who seek to learn and grow, everything is available at the click of a button. Any course, any skill, any trainer – is available online to help you fulfill your learning goals. With virtual trainings and online classes, the whole world seems to shrink, and everything becomes accessible anytime, anywhere.

However, in the cacophony of online courses, learners need to pick and choose the ones that add value to their skillset. For this purpose, it is advised to prefer only authorized providers for training. Amazon Web Services has authorized training partners and authorized instructors who are accredited to provide trainings of such technical expertise. NetCom Learning is one such authorized training provider that offers various technical courses including AWS Cloud training programs. The company also has AWS Authorized Instructors who are Champion-level trainers. NetCom Learning currently has the AWS Cloud Practitioner Course on a promotional offer.

### Get AWS Certified Cloud Practitioner Training at $99

As part of a promotional offer, NetCom Learning is offering a one-day AWS Cloud Practitioner Course at $99 for the class on December 14th, 2020. The actual price for this course is $675. Since this huge discount is available for one day only, it’s a great opportunity for those who are looking to earn cloud skills. This guaranteed-to-run class will cover all topics in an 8-hour session on the specified date. Use Promo code AWSCPE99 to unlock the discounted price. Learners interested to get AWS Cloud Practitioner certified will also get an additional one-hour where the instructor will guide them on tips and resources to ace the certification exam. Limited seats are available for this promotional session.

Since the certification exam costs $100, if you enroll for this training, you can get trained and certified at $199 only. This is the right time and right opportunity to gain cloud skills and begin your learning journey.

#aws #aws cloud #aws cloud practitioner course #aws cloud training programs #training on aws cloud practitioner essentials #aws cloud practitioner course