Machine Learning, AI & Data Science

Learn & Earn with Bharat Freelance Training Program

Course Description

Naughty Dog says it's proud of team and confirms new single player project


Update: Well, well, well. Naughty Dog’s statement came as a bit of a surprise earlier today but it seems like it was pre-empting a report from Bloomberg effectively suggesting the project is in the pits. Extremely reliable reporter Jason Schreier cites four sources familiar with the release, and claims Sony has “slowed down development” on the title “as the creators reassess its quality and long-term viability”.


Schreier goes on to report that the project was scaled back during a recent evaluation, which we know also resulted in the closure of PixelOpus and the likely cancellation of Deviation Games’ first title. “A small group remains on the project while the company re-evaluates the direction,” continues Schreier’s report. “While the game hasn’t been cancelled, many of its developers have been moved to other projects.” That’d presumably include the company’s new single player title.


In the aftermath of the Bloomberg report, Giant Bomb’s Jeff Grubb weighed in on the topic: “All I've heard about this game is that it looks a lot like a studio's first live-service game, and that Naughty Dog wanted to do things its way, which maybe didn't bode well for Factions.”


The Last of Us Factions was expected to be one of Sony’s flagship live service titles, a business model the Japanese giant is so obsessed with it purchased Bungie to help expedite its efforts. But according to Schreier, the Destiny developer wasn’t impressed with what Naughty Dog was making. “Bungie raised questions about the The Last of Us multiplayer project's ability to keep players engaged for a long period of time, which led to the reassessment,” the Bloomberg article claims.


When Sony bought Bungie, it said it would utilize the studio to establish a live service center of excellence, and it’s probably safe to assume it’s that new department which has resulted in all the current disruption occurring within PS Studios. Of course, the sceptics among you would perhaps be right to point out that PlayStation was doing great when it was focusing on single player games, so we’ll need to wait and see how it steadies the ship moving forwards.


Original Article: Well, despite being officially announced almost four years ago, it looks like The Last of Us Factions, the standalone multiplayer game from Naughty Dog, still isn’t close to release. Many pondered why the title was absent at this week’s PS Showcase, especially after series creator Neil Druckmann had promised we’d learn a lot more about the project this year. But in a statement the studio said that while it’s “proud of the job our studio has done so far […] we’ve realized what is best for the game is to give it more time”. There’s no word on when or where we’ll learn more.

  • Batch Duration: 6 Months
  • Videos Duration: 42+ hours
  • Fee: Free of Cost
  • Who can Join: Everyone
  • Enrolled Trainees: 1000
  • Video Medium: Hindi & English

What you will learn

    After completing this course, a trainee will be able to:

    • Become a Data Scientist and get hired
    • Deep Learning, Transfer Learning and Neural Networks using the latest Tensorflow 2.0
    • Present Data Science projects to management and stakeholders
    • Real life case studies and projects to understand how things are done in the real world
    • Implement Machine Learning algorithms
    • How to improve your Machine Learning Models
    • Build a portfolio of work to have on your resume
    • Supervised and Unsupervised Learning
    • Explore large datasets using data visualization tools like Matplotlib and Seaborn
    • Learn NumPy and how it is used in Machine Learning
    • Learn to use the popular library Scikit-learn in your projects
    • Learn to perform Classification and Regression modelling
    • Master Machine Learning and use it on the job
    • Use modern tools that big tech companies like Google, Apple, Amazon and Meta use
    • Learn which Machine Learning model to choose for each type of problem
    • Learn best practices when it comes to Data Science Workflow
    • Learn how to program in Python using the latest Python 3
    • Learn to pre process data, clean data, and analyze large data.
    • Developer Environment setup for Data Science and Machine Learning
    • Machine Learning on Time Series data
    • Explore large datasets and wrangle data using Pandas
    • A portfolio of Data Science and Machine Learning projects to apply for jobs in the industry with all code and notebooks provided
    • Learn about Data Engineering and how tools like Hadoop, Spark and Kafka are used in the industry
    • Learn how to apply Transfer Learning

BFTP - Bharat Freelance Training Program