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Phil Jackson is nearly four years removed from his failed tenure as president of the New York Knicks. It appears he has a long list of people to blame for that failure.

The former Chicago Bulls and Los Angeles Lakers coach opened up about his time at Madison Square Garden in an episode of "The Curious Leader" podcast, hosted by Coby Karl, one of Jackson's former Lakers players and the son of George Karl.

The one-hour, 43-minute podcast touched on a number of topics, with the discussions compiled by Stefan Bondy of the New York Daily News, including the infamous Matt Barnes-Derek Fisher incident ("it was a distraction"), his eventual firing at the hands of James Dolan ("I think he actually did me a favor") and his struggles with the triangle offense ("perhaps the best thing I couldve done was just coach the team myself"). His most eyebrow-raising remark, however, came from his description of how the media treated him.

Specifically, Jackson compared his treatment to that of former President Donald Trump, another man known to have experienced business failures in New York City.

From the New York Daily News:

I kind of understand Trump had to live with probably for his first 3 years in office with the media, Jackson said.

Jackson also reportedly complained of a media contingent that was decidedly against the organization and they were looking for whatever they can do to throw aspersions. Under Jackson, the Knicks' best record was a 32-50 mark in the 2015-16 season. The team still hasn't posted a winning record in the wake of his tenure.

Part of the reason for his Knicks failure, Jackson claimed, was Anthony's lack of leadership:

Carmelo, I think, wanted to be a leader, but I dont think he completely knew how to be a leader as a player, Jackson said. And I think that the strength of his personality was intimidating to some of the coaches that were asked to coach the team. And so there wasnt this compliance that has to happen between players and coaches. And as much I tried to interject my own beliefs, I dont think youre close enough to the ground in that situation to really be effective in dictating how things are going to be done.

Story continues

Jackson reportedly added that he wanted to trade Anthony, but complained of Anthony's "lack of compliance" in declining to waive the no-trade clause that Jackson himself gave him at the start of the executive's tenure.

Ultimately, Jackson complained the media took Anthony's side after he stirred more controversy with his "don't change the spot on a leopard" tweet, which was a dig at Anthony's inability to thrive in the triangle offense. He claimed that led to his dismissal, and you will be shocked to hear Jackson thinks the biggest victims of the situation were the Knicks fans:

I think that Jim felt like I was facing too big of an uphill climb and relieved me of the job because he just saw the media was going to be backing Carmelo in this situation, Jackson said. And I was going to be the guy taking the lumps.

It felt like a major disappointment to have to go through that and not being able to turn that thing around because its a heartbeat of New York. Its a big part of what they like their basketball team. There are long devoted Knick fans and I appreciate their desire but I think they get in the way of the team a lot of times.

Another controversy Jackson took issue with was his labeling of LeBron James' business partners as his "posse." James responded to the remark by saying he had lost all respect for the legendary coach. Again, Jackson said he believed it was the media's fault:

There was a lot of distortion that went into it, Jackson said on the podcast. And texting and media was a big part of it But I used that terminology that we used a lot. And it was roundly made a racist remark or whatever it was. That can be thrown into the mix.

This won't be the end of Jackson's comments, as Thursday's episode was just Part 1 of what must have been a lengthy conversation. We'll see what the coach has to say about, say, Kristaps Porzingis and Joakim Noah in the future.

More from Yahoo Sports:

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Phil Jackson unloads on Carmelo Anthony while talking Knicks tenure, compares own treatment to Donald Trump - Yahoo Sports

Before his presidency, Donald Trump was frequently seen flying around the world in his eye-catching Boeing 757. Dubbed Trump Force One following its appearance on the campaign trail in 2016, the jet went largely unused once Trump took office and began flying on government transport instead. So, where is it now?

Before he was allowed to use a converted Boeing 747 under the Air Force One callsign for his trips, Donald Trump used to jet around the world in his own personal Boeing 757. Affectionately dubbed Trump Force One, the aircraft has been sitting idle since Trump took up the US presidency in January 2017.

During his time at the White House, Trump Force One operated a few executive trips for the Trump Organization, but in mid-2019, was placed into long-term storage at Stewart International Airport. Its maintenance was overdue, and Trump didnt think he would need it again for at least another four years.

There were rumors it would come out of mothballs ahead of his departure from the White House in January. However, there was a big problem one engine had been removed. A loan engine was reportedly being sought to enable the jet to fly to Citadel Completions in Louisiana for maintenance. That engine was never found, and Trump flew to Mar-a-Largo on board the VC-25A Air Force One 747.

As of today, the 757 remains stranded in Stewart, north of New York. The almost 30-year-old aircraft is still in need of an engine, a Rolls-Royce RB211, to get it ferried for maintenance. All that costs money, and it doesnt seem to be an investment Trump is keen to make right now.

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For most aircraft owners, storage has become a hot topic in recent months. With airlines keen to keep their grounded jets in good order, desert storage locations have become the location of choice. The warm, dry conditions are ideally suited to keeping aircraft in tip-top shape, and have seen the likes of Victorville, Alice Springs and Teruel in Spain filling up with planes.

New York Stewart International Airport, in Orange County, is not such a super place to keep an aircraft. Although the summer is warm and often dry, the winter can be cold, with temperatures dropping to seven degrees C (44 F) or below. The cold season can bring with it plenty of rain, and sometimes also snow, making for a poor storage environment for aircraft.

With the 757 unable to fly, Trump has been left to fly in his smaller corporate jet. His Cessna 750 Citation X has frequently been spotted flying between Palm Beach and LaGuardia. Seating just eight passengers, its not as luxurious as the 757, and doesnt have his name on the side.

Trumps 757 was once his pride and joy. It featured front and center in his 2016 presidential campaign, with several rallies held at airports with the plane as a backdrop. Its a lavishly appointed VIP space, with cream leather seats, 24-karat gold fixings and a huge master bedroom.

But Trump doesnt have cash to burn, as 2020 has taken its toll on the billionaires worth. According to the Bloomberg Billionaires Index, his net worth is down to $2.3 billion from $3 billion before his presidency. For now, it seems that Trump is condemned to rely on his somewhat less glamorous Cessna Citation.

Continue reading here:
Whats Happening With Donald Trumps Boeing 757? - Simple Flying

AI and healthcare professionals are warning of concerns over a machine learning algorithm made for diagnosing COVID-19.

The idea behind these technologies was to help health professionals tell the difference between coronavirus and other similarly-presenting ailments like pneumonia.

But concerned professionals say changes need to be made before the COVID diagnosis machine learning is used in a clinical environment.

More from a recent VentureBeat article:

Of those 62 papers included in the analysis, roughly half made no attempt to perform external validation of training data, did not assess model sensitivity or robustness, and did not report the demographics of people represented in training data.

Frankenstein datasets, the kind made with duplicate images obtained from other datasets, were also found to be a common problem, and only one in five COVID-19 diagnosis or prognosis models shared their code so others can reproduce results claimed in literature.

In their current reported form, none of the machine learning models included in this review are likely candidates for clinical translation for the diagnosis/prognosis of COVID-19, the paper reads. Despite the huge efforts of researchers to develop machine learning models for COVID-19 diagnosis and prognosis, we found methodological flaws and many biases throughout the literature, leading to highly optimistic reported performance.

Publicly available datasets also commonly suffered from lower quality image formats and werent large enough to train reliable AI models.

How does that old expression go? the problem with computers is that they doexactlywhat you tell them to do.

I love that saying because, despite the fact that AI is growing the point of teaching itself without as much human intervention, its still a glorified computer. A model is still only as good as the data being fed to it, and instances like this only underline just how much of a strict science machine learning is.

My TechDecisions Podcast Episode 107: Artificial Intelligence in the Enterprise

Here is the original post:
AI Researchers Say There are Problems with Machine Learning COVID Diagnosis - TechDecisions

Healthcare professionals and AI experts alike are warning about some issues theyve identified in a machine learning model made for diagnosing the coronavirus.

The idea behind these technologies was to help health professionals tell the difference between coronavirus and other similarly-presenting ailments like pneumonia.

But concerned professionals say changes need to be made before the COVID diagnosis machine learning is used in a clinical environment.

More from a recentVentureBeat article:

Of those 62 papers included in the analysis, roughly half made no attempt to perform external validation of training data, did not assess model sensitivity or robustness, and did not report the demographics of people represented in training data.

Frankenstein datasets, the kind made with duplicate images obtained from other datasets, were also found to be a common problem, and only one in five COVID-19 diagnosis or prognosis models shared their code so others can reproduce results claimed in literature.

In their current reported form, none of the machine learning models included in this review are likely candidates for clinical translation for the diagnosis/prognosis of COVID-19, the paper reads. Despite the huge efforts of researchers to develop machine learning models for COVID-19 diagnosis and prognosis, we found methodological flaws and many biases throughout the literature, leading to highly optimistic reported performance.

Publicly available datasets also commonly suffered from lower quality image formats and werent large enough to train reliable AI models.

How does that old expression go? the problem with computers is that they doexactlywhat you tell them to do.

I love that saying because, despite the fact that AI is growing the point of teaching itselfwithout as much human intervention, its still a glorified computer.

After all, a model is still only as good as the data being fed to it, and instances like this only underline just how much of a strict science machine learning is.

Read Next: Artificial Intelligence Speculates on Whether Shakespeare Had Help with Henry VIII

Excerpt from:
There Are Issues with the COVID-19 Diagnosis Machine Learning Algorithms - Commercial Integrator

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Machine Learning and Analytics Made Easy - The Internet of Business