Analytics Vidhya

DECEMBER 15, 2020

Overview Here is a list of Top 15 Datasets for 2020 that we feel every data scientist should practice on The article contains 5. The post Top 15 Open-Source Datasets of 2020 that every Data Scientist Should add to their Portfolio! appeared first on Analytics Vidhya.

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Rocket-Powered Data Science

JULY 6, 2021

The year 2020 was remarkably different in many ways from previous years. I provide below my perspective on what was interesting, innovative, and influential in my watch list of the Top 10 data innovation trends during 2020. 7) Deep learning (DL) may not be “the one algorithm to dominate all others” after all.

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Analytics Vidhya

MAY 4, 2020

Introduction I had the pleasure of volunteering for ICLR 2020 last week. ICLR, short for International Conference on Learning Representations, is one of the. The post Key Takeaways from ICLR 2020 (with a Case Study on PyTorch vs. TensorFlow) appeared first on Analytics Vidhya.

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Analytics Vidhya

DECEMBER 18, 2019

Overview Check out our pick of the 30 most challenging open-source data science projects you should try in 2020 We cover a broad range. The post 30 Challenging Open Source Data Science Projects to Ace in 2020 appeared first on Analytics Vidhya.

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datapine

NOVEMBER 19, 2019

In this post, we’re going to give you the 10 IT & technology buzzwords you won’t be able to avoid in 2020 so that you can stay poised to take advantage of market opportunities and new conversations alike. Get the inside scoop and learn all the new buzzwords in tech for 2020! Computer Vision. Artificial Intelligence (AI).

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Analytics Vidhya

JANUARY 8, 2020

Introduction There are an overwhelming number of resources out there these days to learn computer vision concepts. The post Here’s your Learning Path to Master Computer Vision in 2020 appeared first on Analytics Vidhya. How do you pick and choose from.

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O'Reilly on Data

FEBRUARY 18, 2020

Usage specific to Python as a programming language grew by just 4% in 2019; by contrast, usage that had to do with Python and ML—be it in the context of AI, deep learning, and natural language processing, or in combination with any of several popular ML/AI frameworks—grew by 9%.

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KDnuggets

DECEMBER 11, 2019

We asked leading experts - what are the most important developments of 2019 and 2020 key trends in AI, Analytics, Machine Learning, Data Science, and Deep Learning? This blog focuses mainly on technology and deployment.

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KDnuggets

JANUARY 10, 2020

Finding a deep learning model to perform well is an exciting feat. But, might there be other -- less complex -- models that perform just as well for your application?

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Analytics Vidhya

JULY 23, 2020

Note: This article was originally published on May 29, 2017, and updated on July 24, 2020 Overview Neural Networks is one of the most. The post Understanding and coding Neural Networks From Scratch in Python and R appeared first on Analytics Vidhya.

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KDnuggets

JANUARY 21, 2020

Here are some AI-related books that I’ve read and recommend for you to add to your 2020 reading list!

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KDnuggets

MARCH 19, 2020

Many cloud providers, and other third-party services, see the value of a Jupyter notebook environment which is why many companies now offer cloud hosted notebooks that are hosted on the cloud. Let's have a look at 3 such environments.

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Dataiku

DECEMBER 16, 2019

What will be the hottest data science, machine learning, and AI trends in the new decade? Will we see more or less of deep learning and reinforcement learning in 2020? Was 2019 really the year of NLP?

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KDnuggets

DECEMBER 9, 2019

As we say goodbye to one year and look forward to another, KDnuggets has once again solicited opinions from numerous research & technology experts as to the most important developments of 2019 and their 2020 key trend predictions.

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KDnuggets

JANUARY 16, 2020

Visit Deep Learning World, 11-12 May in Munich, to broaden your knowledge, deepen your understanding and discuss your questions with other Deep Learning experts!

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Data Science 101

DECEMBER 11, 2019

They have opened a call for papers for the 2020 conference. KDD 2020 welcomes submissions on all aspects of knowledge discovery and data mining, from theoretical research on emerging topics to papers describing the design and implementation of systems for practical tasks. 22-27, 2020. 1989 to be exact. The details are below.

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KDnuggets

JANUARY 8, 2020

The standard job description for a Data Scientist has long highlighted skills in R, Python, SQL, and Machine Learning. With the field evolving, these core competencies are no longer enough to stay competitive in the job market.

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KDnuggets

JANUARY 21, 2020

This article will demonstrate explainability on the decisions made by LightGBM and Keras models in classifying a transaction for fraudulence, using two state of the art open source explainability techniques, LIME and SHAP.

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bridgei2i

FEBRUARY 21, 2020

With that in mind, here are the latest growth drivers, trends, and developments that will likely shape the world of business data analytics in 2020: 1. Deep learning provides an edge over your competition. Using machine learning and historical data, future trends and patterns can be predicted depending on your area of concern.

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Data Science 101

JANUARY 31, 2020

AWS Deep Learning Containers get some updates The deep learning containers (Docker images for deep learning tasks) received some updates to ease integration with SageMaker and to add SageMaker Debugger. The first course in this series should be arriving in February 2020.

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FineReport

MAY 10, 2020

Di artikel ini, saya akan membandingkan top 5 software BI di tahun 2020 berdasarkan kemudahan penggunaan, fitur, dan harga. Meskipun pengguna komunitas Sisense kurang aktif dibandingkan dengan Tableau, resource di komunitas ini cukup dipakai oleh pemula untuk deep learning. Dari Google. Sisense juga memiliki komunitas online.

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Data Science 101

JANUARY 24, 2020

Amazon Launches AutoGluon – A new open-source library which brings deep learning for images, text and tabular data to all developers. Azure SDK January 2020 Updates – The SDK now includes preview support of the Text Analytics capabilities from Cognitive Services. Amazon SageMaker now supports Tensorflow 2.0

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Business Over Broadway

MARCH 2, 2021

The next most used computing platform is a cloud computing platform and a deep learning workstation. In a worldwide machine learning and data science survey by Kaggle in late 2020 of over 20,000 data professionals, respondents were asked a variety of questions regarding the data science tools they typically use.

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Data Science 101

FEBRUARY 29, 2020

The event is Monday, March 2, 2020 at 9am PST. AWS Deep Learning Containers Updated They now have the latest versions of Tensorflow (1.15.2, Women in Data Science Livestream This is a conference with a ton a great speakers. The livestream is free and available on the Data Science 101 blog. It is now generally available (GA).

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Smart Data Collective

AUGUST 6, 2020

You can use deep learning technology to replicate a voice that your audience will resonate with. Deep learning technology evaluates their choices, which helps the algorithm determine which images appear to be the most popular. Deep learning technology can measure engagement from different images in various designs.

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KDnuggets

DECEMBER 11, 2019

AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments and Key Trends; Down with technical debt! Clean #Python for #DataScientists; Calculate Similarity?-?the the most relevant Metrics in a Nutshell.

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CIO Business Intelligence

MAY 28, 2022

The quarterly index also covers pay premiums for IT certifications, which — in a bit of good news for cash-strapped CIOs — have resumed a long decline begun more than three years ago with their largest quarterly drop since late 2020.

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DataKitchen

APRIL 13, 2021

Acquired by Informatica, July 2020) . Metis Machine — Enterprise-scale Machine Learning and Deep Learning deployment and automation platform for rapid deployment of models into existing infrastructure and applications. CompactBI — TestDrive is a testing framework for your data and the processes behind them.

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bridgei2i

NOVEMBER 18, 2020

BANGALORE, NOVEMBER 18, 2020. BRIDGEi2i Analytics Solutions announced today that it had been recognized in the list top 10 data science companies in India to work for 2020 by Analytics Insights magazine. Analytics Insight is a publication focused on Artificial Intelligence, Big Data and Analytics. BRIDGEi2i Analytics Solutions Contact.

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Cloudera

NOVEMBER 3, 2021

Thanks to pioneers like Andrew NG and Fei-Fei Li, GPUs have made headlines for performing particularly well with deep learning techniques. Today, deep learning and GPUs are practically synonymous. While deep learning is an excellent use of the processing power of a graphics card, it is not the only use.

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Smart Data Collective

JANUARY 20, 2020

Most of these tools are powered by a specific Deep Learning engine which also assists in conversions, revenue generation, and better traffic generations. Deep Learning technologies are also in place to measure content performance and the existing trends which eventually make sure whether the existing content plan will work or not.

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Insight

AUGUST 17, 2020

Javed leveraged a deep learning RNN model to build the world’s first two-way translator between English and Jamaican Creole. Sign up to learn more about Insight Fellows programs and start your application today. Javed Jaghai , Data Science Fellow based in Washington D.C.

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Smart Data Collective

MARCH 16, 2022

Companies spent nearly $11 billion on financial analytics in 2020. In other cases, advanced AI applications use a deep-learning approach to sift through big data to predict the prices of stocks in the near future. However, deep-learning approaches are comprehensive in theory.

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DataRobot

DECEMBER 20, 2021

Image recognition is one of the most relevant areas of machine learning. Deep learning makes the process efficient. However, not everyone has deep learning skills or budget resources to spend on GPUs before demonstrating any value to the business. In 2020, our team launched DataRobot Visual AI.

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Smart Data Collective

JULY 30, 2020

In December, Springer published an insightful article about the value of deep learning for VPNs. The article “Deep learning-based real-time VPN encrypted traffic identification methods” delves into the use of machine learning to improve encryption models.

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KDnuggets

JANUARY 13, 2020

The new technique can really improve how deep learning models are trained at scale.

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CIO Business Intelligence

DECEMBER 20, 2023

Since the last mile process is highly agile, CIOs must ensure the software systems have built-in deep learning capabilities to make in-the-moment decisions. For example, Uber and Zomato use a deep learning algorithm that considers driver location and overall ratings while mapping them to particular orders/bookings.

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